Technology-Based Approaches for Supporting Perinatal Mental Health
Open accessAbstract
Purpose of Review: This review explores advances in the utilization of technology to address perinatal mood and anxiety disorders (PMADs). Specifically, we sought to assess the range of technologies available, their application to PMADs, and evidence supporting use. Recent Findings: We identified a variety of technologies with promising capacity for direct intervention, prevention, and augmentation of clinical care for PMADs. These included wearable technology, electronic consultation, virtual and augmented reality, internet-based cognitive behavioral therapy, and predictive analytics using machine learning. Available evidence for these technologies in PMADs was almost uniformly positive. However, evidence for use in PMADs was limited compared to that in general mental health populations. Summary: Proper attention to PMADs has been severely limited by issues of accessibility, affordability, and patient acceptance. Increased use of technology has the potential to address all three of these barriers by facilitating modes of communication, data collection, and patient experience. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
AI snapshot
Written from the paper’s full text.
TL;DR
This review surveys technology-based options for perinatal mood and anxiety disorders, covering mHealth, wearables, internet-based CBT, virtual reality, eConsultation, and machine-learning prediction. It finds mostly encouraging but limited PMAD-specific evidence, with access, affordability, and patient acceptance as persistent barriers.
Key findings
- mHealth tools using peer support and psychoeducation show preliminary acceptability and effectiveness for mild perinatal mood symptoms, but studies are largely restricted to mothers without prior mental health histories, mild-to-moderate depression, healthy infants, and a single language.
- In a small postpartum depression RCT (N = 43), 79% of 21 women receiving a 6-session internet-based CBT plus telephone coaching no longer met depression criteria at 12 weeks, versus 18% of 22 women receiving treatment as usual; 86% of the treatment group completed all sessions. A systematic review of 8 studies found therapist-supported I-CBT improved stress, anxiety, and depressive symptoms.
- Wearable studies: among 36 pregnant women with elevated depression scores, more severe symptoms were linked to a smaller daily travel radius, and a prior day’s worse symptoms predicted a smaller radius the next day; mild symptoms showed increased activity over 8 weeks while severe symptoms showed the opposite. In postpartum mothers of preterm infants, higher daytime wrist actigraphy activity correlated with lower postpartum depression symptoms.
- VRET had a 3% rejection rate versus 25% for traditional exposure therapy, and 70% preferred VRET; however, a c-section preoperative anxiety RCT was inconclusive (p = 0.08, underpowered). Psychiatric eConsults led primary care practitioners to no longer feel a need to refer after 30% of consultations, and machine learning predicted postpartum depression and postpartum psychiatric admission with strong psychometric accuracy.
Methods
- Design: narrative review assessing the range of technologies available for PMADs, their application, and supporting evidence.
- Data: published literature on technology-based mental health approaches, including studies in perinatal and general psychiatric populations; no primary data collection.
- Analysis: narrative synthesis of findings across technology categories; no formal meta-analysis or systematic search protocol is described.
Limitations
- The paper states that PMAD-specific evidence is limited compared with general mental health populations, and that studies suffer from limited replicability, small samples, few RCTs, non-generalizable clinical populations, and lack of diversity.
- The paper notes that many I-CBT research versions are not publicly available, wearable data are not always sensitive or specific and should not replace skilled evaluation, research-specific apps/algorithms are not easily accessible, and EMR integration is cumbersome.
- The paper also states that perinatal eConsult literature is scarce, the c-section VRET trial was underpowered, and no predictive-analytics study has yet used these approaches to establish a preventive intervention. Evident from the text: as a narrative review, it does not provide a systematic search strategy, quality appraisal, or quantitative pooling.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
39 of 78 cited sources checked · 13 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Many expectant parents routinely use app-based tools to access health information during pregnancy.
“Many expectant parents routinely use app-based tools as a way of accessing relevant health information during pregnancy [13, 14].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [13] Dalton JA, Rodger D, Wilmore M, Humphreys S, Skuse A, Roberts CT, et al. The Health-e Babies App for antenatal education: feasibility for socially disadvantaged women. PLoS ONE. 2018;13(5): e0194337. source
- cites [14] Lau Y, Htun TP, Wong SN, Tam WSW, Klainin-Yobas P. Therapist-supported internet-based cognitive behavior therapy for stress, anxiety, and depressive symptoms among postpartum women: a systematic review and meta-analysis. J Med Internet Res. 2017;19(4): e138. source
The Introduction (page not provided) says that 90% of the postpartum women discussed used the Internet to search for health-related information. It does not establish that expectant parents routinely used apps for that purpose during pregnancy; the References section only lists a study about interest in health-related apps. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationcitation
Wearable technology can provide information about a patient's behavior and biological function outside appointments, giving clinicians data that can assist in diagnosis, treatment monitoring, and prevention.
“Wearable technology can provide information about a patient’s behavior and biological function outside of their appointments, and thus allow the clinician access to data that can assist in diagnosis, treatment monitoring, and prevention [33, 34].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [33] Insel TR. Digital phenotyping: technology for a new science of behavior. JAMA. 2017;318(13):1215. source
- cites [34] Onnela J-P, Rauch SL. Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health. Neuropsychopharmacology. 2016;41(7):1691–6. source
The introduction and “Origins of the Technology” describe collecting behavioral data in natural settings using smartphones and other personal digital devices, with potential uses in diagnosis and treatment. “Making Sense of Smartphone Data” discusses mobility, metabolic expenditure, and tremors, while “The Challenge of Psychiatry” proposes alerts that could enable timely intervention. The source focuses on smartphone-based digital phenotyping rather than establishing the claim specifically for wearable technology, and it presents these clinical uses as possibilities. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Rests on an assumption: Mental health clinicians typically have few objective measures and rely on subjective reports that are vulnerable to bias and inaccuracy.
- Interpretationcitation
Because PMADs are prevalent, additional screening during the prenatal period provides an enhanced window for early detection and intervention of psychological distress.
“Given the known prevalence of PMADs, additional screening during the prenatal period is an enhanced window of time to engage in early detection and intervention of psychological distress [10].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [10] Nishi D, Imamura K, Watanabe K, Obikane E, Sasaki N, Yasuma N, et al. Internet-based cognitive–behavioural therapy for prevention of depression during pregnancy and in the post partum (iPDP): a protocol for a large-scale randomised controlled trial. BMJ Open. 2020;10(5): e036482. source
The Introduction reports the prevalence of antenatal and postpartum depression and says prevention during pregnancy is important. The Methods and analysis > Outcomes section describes screening measures used in the proposed trial, but the paper does not establish that additional prenatal screening improves early detection or intervention for psychological distress; the Introduction instead notes the difficulty of screening all high-risk pregnant women. No page numbers are available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Many studies of wearable technology use apps and algorithms designed by or for the research team that are not easily available to the average clinician and patient.
“Furthermore, many of the studies on wearable technology use apps and algorithms were specifically designed by/for the research team and are not easily available to the average clinician and patient [40, 41].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [40] Carr O, Saunders KEA, Tsanas A, Bilderbeck AC, Palmius N, Geddes JR, et al. Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder. Sci Rep. 2018;8. source
The Introduction (page unavailable) says this study used a bespoke smartphone app, and Methods describes an extension of an existing rhythm-analysis method. The paper supports this study as an example, but does not establish that many studies use such tools or that its app and algorithms are not easily available to clinicians and patients. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [41] Tazawa Y, Liang K-C, Yoshimura M, Kitazawa M, Kaise Y, Takamiya A, et al. Evaluating depression with multimodal wristband-type waearable device: screening and assessing patient severity utilizing machine-learning. Heliyon. 2020;6(2). source
The Conclusion says this study used machine learning with wristband data and that its models may not be suitable for immediate psychiatric clinical use. That supports the point for this study's algorithms, but the paper does not establish that many studies use research-specific apps and algorithms unavailable to typical clinicians or patients. The Introduction also says comparable wearable devices are commercially available. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Interpretationcitation
Providing transdiagnostic psychoeducation regardless of symptom presentation helps normalize common peripartum experiences that might otherwise leave parents feeling isolated or misunderstood.
“Furthermore, the ability to provide transdiagnostic psychoeducation to users regardless of symptom presentation serves to normalize common peripartum experiences that may otherwise leave parents feeling isolated or misunderstood [11].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [11] Loughnan SA, Newby JM, Haskelberg H, Mahoney A, Kladnitski N, Smith J, et al. Internet-based cognitive behavioural therapy (I-CBT) for perinatal anxiety and depression versus treatment as usual: study protocol for two randomised controlled trials. Trials. 2018;19(1):56. source
The Background says transdiagnostic iCBT can educate perinatal women about anxiety and depression symptoms regardless of whether they meet clinical levels. Methods > Procedures describes psychoeducational courses built around common pregnancy and postpartum experiences. Neither section says this education normalizes those experiences or reduces feelings of isolation or being misunderstood; the paper is a study protocol, not evidence of that effect. Page numbers are unavailable in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Use of digital platforms appears to be an almost ubiquitous part of the current pregnancy experience.
“Indeed, use of digital platforms appears an almost ubiquitous part of the current pregnancy experience [15].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [15] Mackintosh N, Agarwal S, Adcock K, Armstrong N, Briley A, Patterson M, et al. Online resources and apps to aid self-diagnosis and help seeking in the perinatal period: a descriptive survey of women’s experiences. Midwifery. 2020;90: 102803. source
- Premisecitation
Attention to perinatal mood and anxiety disorders has been severely constrained by problems of access, cost, and patient acceptance.
“Proper attention to PMADs has been severely limited by issues of accessibility, affordability, and patient acceptance.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [6••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [7] Howard LM, Khalifeh H. Perinatal mental health: a review of progress and challenges. World Psychiatry. 2020;19(3):313–27. source
The 'Case identification in universal/primary care services' section (page unavailable) says only a small proportion of women with mental disorders access mental health care. 'Community and outpatient perinatal mental health care' (page unavailable) describes groups excluded from specialist services and women finding generic services unhelpful. These passages support limited access, but do not establish that affordability or patient acceptance are causes of the limitation. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
Digital mental health methods can provide screening, psychoeducation, and possible treatment according to a user's need and symptom severity.
“Another key advantage of digital methods for use in mental health is the ability to provide users with screening, psychoeducation, and possible treatment depending on need and symptom severity [8].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [8] Müller M, Matthies LM, Goetz M, Abele H, Brucker SY, Bauer A, et al. Effectiveness and cost-effectiveness of an electronic mindfulness-based intervention (eMBI) on maternal mental health during pregnancy: the mindmom study protocol for a randomized controlled clinical trial. Trials. 2020;21(1):933. source
- Premisecitation
Women undergoing Cesarean section are at increased likelihood of developing PMADs.
“Women undergoing this procedure are at increased likelihood of developing PMADs [47]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [47] Räisänen S, Lehto SM, Nielsen HS, Gissler M, Kramer MR, Heinonen S. Fear of childbirth predicts postpartum depression: a population-based analysis of 511 422 singleton births in Finland. BMJ Open. 2013;3(11): e004047. source
The Results report that caesarean birth was associated with higher odds of postpartum depression among women without a history of depression (aOR 1.38, 95% CI 1.08–1.77). The claim broadens that finding to PMADs generally, including conditions other than depression, which this paper does not establish. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
In one study, primary care practitioners reported that after 30% of their eConsultations to psychiatry, they no longer felt the need to refer the patient.
“For example, in one study, PCPs reported that following 30% of their eConsultations to psychiatry, they no longer felt the need to refer the patient [57].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [57] Archibald D, Stratton J, Liddy C, Grant RE, Green D, Keely EJ. Evaluation of an electronic consultation service in psychiatry for primary care providers. BMC Psychiatry. 2018;18(1):1–7. source
- Findingnone given
Use of mHealth-based approaches specifically for perinatal mental health care is more limited.
“The use of mHealth-based approaches to perinatal mental health care is more limited.”
Quote in the paperNot a substantial claim - Findingnone given
The available evidence for these technologies in perinatal mood and anxiety disorders was almost uniformly positive.
“Available evidence for these technologies in PMADs was almost uniformly positive.”
Quote in the paperSubstantial claim - Findingnone given
Evidence for these technologies in perinatal mood and anxiety disorders was limited compared with evidence in general mental health populations.
“However, evidence for use in PMADs was limited compared to that in general mental health populations.”
Quote in the paperSubstantial claim - Findingown data
A range of technologies-wearable devices, electronic consultation, virtual and augmented reality, internet-based cognitive behavioral therapy, and machine-learning predictive analytics-show promise for direct intervention, prevention, or augmentation of clinical care for perinatal mood and anxiety disorders.
“We identified a variety of technologies with promising capacity for direct intervention, prevention, and augmentation of clinical care for PMADs. These included wearable technology, electronic consultation, virtual and augmented reality, internet-based cognitive behavioral therapy, and predictive analytics using machine learning.”
Quote in the paperSubstantial claim - Findingnone given
Predictive analytic approaches such as machine learning are providing robust prediction of postpartum depression with sensitivity and specificity similar to the commonly used Edinburgh Postnatal Depression Scale.
“Predictive analytic approaches, such as ML, are providing robust prediction of postpartum depression with similar sensitivity and specificity to the commonly utilized Edinburg Postnatal Depression Scale.”
Quote in the paperNot a substantial claim - Findingnone given
Evidence is lacking to recommend specific smartphone apps for PMADs.
“While evidence is lacking to recommend specific smartphone apps for PMADS, patients may occasionally report using such apps with success, and clinicians should take this as an opportunity to familiarize themselves with currently available options.”
Quote in the paperSubstantial claim - Findingcitation
There is limited published literature specific to eConsultation in perinatal mental health.
“While there is limited published literature specific to eConsult in perinatal mental health, its adoption in many systems to improve access to specialists (including psychiatrists) has been recently documented and reviewed [53•].”
Quote in the paperNot a substantial claim - Findingreasoning
Research into the integration of technology in mental health care is still limited.
“Research into the integration of technology in mental health care is still limited.”
Quote in the paperSubstantial claim - Findingnone given
The use of eConsultations, mHealth programs/apps, and I-CBT has largely demonstrated efficacy in facilitating or administering mental health care.
“The use of eConsultations, mHealth programs/apps, and I-CBT have largely demonstrated efficacy in facilitating or administrating mental health care.”
Quote in the paperSubstantial claim - Interpretationreasoning
Based on general psychiatric literature and the few perinatal studies, wearable technology, particularly actigraphy, represents a widely available tool that could enhance mental health care in PMADs.
“Based on the general psychiatric literature as well as the few studies in perinatal populations, wearable technology, particularly actigraphy, represents an exciting, widely available tool to enhance mental health care in PMADs.”
Quote in the paperSubstantial claim - Interpretationreasoning
Actigraphy data collected by smartphones and watches appears to be a viable source of objective data to assist in clinical diagnosis, monitoring treatment response, and early detection of exacerbations.
“As such actigraphy data collected by smart phones and watches appears to be a viable source of objective data to assist in clinical diagnosis, monitoring of treatment response, and early detection of exacerbations.”
Quote in the paperSubstantial claim - Interpretationreasoning
mHealth approaches may be appropriate from a public-health perspective for providing sub-clinical interventions, such as peer support, that help address mild PMAD symptoms.
“They may also be appropriate, from a public-health perspective, for providing sub-clinical interventions (e.g., peer support interventions) that are helpful for addressing mild symptoms of PMADs.”
Quote in the paperSubstantial claim - Interpretationreasoning
Technology-based approaches to perinatal mental health care may help address many of these access and care challenges.
“Technology-based approaches to perinatal mental health care may help address many of these concerns.”
Quote in the paperSubstantial claim - Premisecitation
Many web applications, including mental health screening and treatment applications, provide psychoeducation and focus on prevention or exacerbation of illnesses.
“Many web applications, including those for mental health screening and treatment, provide psychoeducation and have a focus on prevention or exacerbation of various illnesses [9••].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Use of wearable technology has the potential to remedy some major limitations in traditional detection, diagnosis, monitoring, and treatment of perinatal mental health disorders.
“Use of wearable technology also has the potential to remedy some of the major limitations inherent in detection of traditional diagnosis, monitoring and treatment of perinatal mental health disorders.”
Quote in the paperSubstantial claim- Rests on an assumption: Mental health clinicians typically have few objective measures and rely on subjective reports that are vulnerable to bias and inaccuracy.
- Premisecitation
In the vast majority of healthcare systems worldwide, there is a shortage of resources and mental health clinicians to meet the needs of expectant and postpartum mothers.
“In the vast majority of healthcare systems worldwide, there is a dearth of resources and mental health clinicians to meet the needs of expectant and postpartum mothers [8, 9••, 16].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8, 9••, 16]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Questions about the use of psychotropics in pregnancy and breastfeeding are particularly amenable to being addressed through eConsultation.
“Unlike issues of diagnostic complexity which are more likely to require a face-to-face evaluation, questions on the use of psychotropics in pregnancy and breastfeeding are particularly amenable to being addressed through eConsultation.”
Quote in the paperSubstantial claim - Premisecitation
Virtual reality exposure therapy has over 20 years of research showing it is at least as effective as standard evidence-based therapy for treating fears and phobias.
“Virtual reality exposure therapy or VRET has over 20 years of research demonstrating that it is at least as effective as standard evidence-based therapy in the treatment of fears/phobias [44].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] Powers MB, Emmelkamp PM. Virtual reality exposure therapy for anxiety disorders: a meta-analysis. J Anxiety Disord. 2008;22(3):561–9. source
- Interpretationreasoning
Machine learning remains a promising potential avenue for identification and treatment of PMADs.
“this remains a promising potential avenue for identification and treatment.”
Quote in the paperSubstantial claim - Interpretationnone given
Technology can also facilitate delivery of treatments for patients who require additional individual services.
“Technology can also be used to facilitate delivery of treatments for those requiring additional, individual services.”
Quote in the paperNot a substantial claim - Premisecitation
The idea that psychiatric eConsultation empowers practitioners to handle mental health complaints is supported by surveys showing improved perceived support for diagnosing and managing problems and accessing resources.
“The idea that psychiatric eConsultation provides greater empowerment to handle mental health complaints is supported by surveys demonstrating their ability to improve perceived support for diagnosing and managing problems as well as accessing resources [58].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Golberstein E, Kolvenbach S, Carruthers H, Druss B, Goering P. Effects of electronic psychiatric consultations on primary care provider perceptions of mental health care: survey results from a randomized evaluation. Healthcare. 2018;6(1):17–22. source
- Interpretationreasoning
Literature on eConsultation to psychiatric specialists in general suggests that it has significant potential to improve management of PMADs.
“However, literature on the use of eConsultation to psychiatric specialists in general suggests that it has significant potential to improve management of PMADs, and some of the main consultation questions that come up with PMADs (use of drugs in pregnancy and breastfeeding) might be a particularly good fit for the eConsultation model.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Because research on VRET applications has almost exclusively focused on specific fears rather than generalized fears, applying VRET to PMADs would largely address specific symptoms rather than overall management of the disorder.
“Research on its applications has almost exclusively focused on specific (e.g., arachnophobia, social anxiety) rather than generalized fears; therefore, application of VRET to the treatment of PMADs would largely relate to reduction of specific symptoms which may arise rather than the overall management of the disorder.”
Quote in the paperSubstantial claim - Premisereasoning
Evidence suggests that preoperative anxiety may be the mechanism underlying the relationship between Cesarean section and PMADs.
“and evidence exists suggesting that preoperative anxiety may be the mechanism underlying this relationship.”
Quote in the paperSubstantial claim- Rests on an assumption: Preoperative anxiety may be the mechanism underlying the relationship between Cesarean section and PMADs.
- Interpretationcitation
Access to psychoeducation and short-term interventions via mobile apps may help low- or moderate-risk mothers with subsyndromal PMAD symptoms avoid progressing further.
“Access to psychoeducation and short-term interventions via mobile apps may help low or moderate risk mothers with subsyndromal PMAD symptoms from progressing further [17••], although the research on high-risk mothers is still unclear.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Similar predictive capacity for postpartum depression with machine learning has been demonstrated using social media posting data from mothers and fathers.
“Similar predictive capacity with ML for postpartum depression has been demonstrated when utilizing data from social media posting in mothers [68] and fathers [69].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [68] Fatima I, Abbasi BU, Khan S, Al‐Saeed M, Ahmad HF, Mumtaz R. Prediction of postpartum depression using machine learning techniques from social media text. Exp Syst. 2019;36. source
- cites [69] Shatte ABR, Hutchinson DM, Fuller-Tyszkiewicz M, Teague SJ. Social media markers to identify fathers at risk of postpartum depression: a machine learning approach. Cyberpsychol Behav Soc Netw. 2020;23(9):611–8. source
- Premisecitation
A significant barrier to timely and comprehensive care is patient accessibility to services.
“A significant barrier to timely and comprehensive care is patient accessibility to services [9••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Machine learning and mHealth apps for at-risk mothers are more promising than wearables for preventative care.
“More promising than wearables for preventative care is ML and mHealth apps for at risk mothers.”
Quote in the paperSubstantial claim - Interpretationnone given
Virtual reality technology may show promise in reducing anxiety in specific situations, such as anxiety surrounding delivery and childbirth.
“While still woefully under researched, virtual reality technology may demonstrate promise in reducing anxiety in specific situations, such as anxiety surrounding delivery and childbirth.”
Quote in the paperNot a substantial claim - Interpretationcitation
Mobile and internet-facilitated health care has the potential to improve access to specialized care, particularly for people who do not live in counties with mental health care providers.
“Mobile and internet facilitated health care has the potential to improve access to specialized care, particularly for those who are not in counties with mental health care providers [6••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
An intervention aimed at reducing preoperative anxiety may reduce the likelihood of developing PMADs after Cesarean section.
“Thus, an intervention aimed at reducing preoperative anxiety may reduce the likelihood of developing PMADs following the procedure.”
Quote in the paperSubstantial claim - Premisecitation
eConsultation to psychiatric specialists has been utilized at a lower rate than eConsultation to other specialists, suggesting underutilization.
“eConsultation to psychiatric specialists has been found to be utilized at a lower rate compared to other specialists, suggesting underutilization [53•, 56].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53•, 56]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Wearable technology may provide valuable information for providers about areas for intervention, such as physical activity, heart rate variability, and sleep.
“In terms of augmentation to care, wearable technology may provide valuable information for providers in terms of areas for intervention, such as physical activity, heart rate variability, and sleep.”
Quote in the paperSubstantial claim - Premisecitation
Prior studies in the general population have found that I-CBT interventions have similar acceptability and clinical efficacy in reducing mood and anxiety symptoms as more traditional face-to-face treatments.
“Prior studies of the general population have found I-CBT interventions have similar acceptability and clinical efficacy in the reduction of mood and anxiety symptoms as more traditional face-to-face treatments [42••].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
An inverse relationship between preoperative anxiety and both procedural satisfaction and quality of recovery has been found across a variety of surgical procedures, including Cesarean section.
“Specifically, an inverse relationship between preoperative anxiety and both procedural satisfaction and quality of recovery has been found across a variety of surgical procedures including c-Sect. [48].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Hobson JA, Slade P, Wrench IJ, Power L. Preoperative anxiety and postoperative satisfaction in women undergoing elective caesarean section. Int J Obstet Anesth. 2006;15(1):18–23. source
- Premisecitation
In a systematic review of 8 studies of I-CBT interventions for women with PMADs, Lau and colleagues concluded that therapist-supported I-CBT improves stress, anxiety, and depressive symptoms compared with control.
“Similarly, in a systematic review of 8 studies involving investigation of I-CBT interventions for women with PMADS, Lau and colleagues concluded that therapist-supported I-CBT improves stress, anxiety, and depressive symptoms among women receiving I-CBT interventions in comparison to those in the control group.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lau and colleagues
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 41
- Classified as probably not a substantial claim. 21
May combine two claims.
PremisecitationPerinatal mental health care faces additional barriers beyond access, including obstetric provider training gaps, inadequate screening tools, limited referral awareness or resources, limited inclusion of partners' mental health, ethnic and socioeconomic differences in identification, and a shortage of specialized community providers.
“Beyond issues with access, other challenges in perinatal mental health include lack of training and experience in screening and diagnosis for obstetric providers, insufficient screening tools, lack of awareness or resources for referrals, limited inclusion of partner’s mental health, ethnic and socio-economic differences in identification, and lack of specialized community providers [7].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [7] Howard LM, Khalifeh H. Perinatal mental health: a review of progress and challenges. World Psychiatry. 2020;19(3):313–27. source
The paper’s ‘Case identification in universal/ primary care services’ section discusses the need for trained staff, uncertainty about screening tools, and limited access to treatment. Its ‘Assessment and treatment’ and ‘Community and outpatient’ sections discuss referral pathways, specialist-service capacity, practitioners without perinatal training, and the recent expansion of partner assessments. These passages do not establish a specific obstetric-provider training gap, lack of referral awareness, or ethnic and socioeconomic differences in identification; the claim presents those points more definitively than the source does. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationmHealth technologies that provide platforms for peer interaction and support and psychoeducation have been shown to be acceptable and effective in improving mood symptoms in women during the perinatal period.
“Specifically, mHealth technologies that provide platforms for peer interaction and support and psychoeducation have been shown to be both acceptable and effective in improving mood symptoms in women during the perinatal period [25–29].”
Quote in the paperSubstantial claim4 of 5 sources checked- cites [25] Shorey S, Chee CYI, Ng ED, Lau Y, Dennis CL, Chan YH. Evaluation of a technology-based peer-support intervention program for preventing postnatal depression (part 1): randomized controlled trial. J Med Internet Res. 2019;21(8): e12410. source
The Methods (Intervention; page not provided) describe technology-mediated peer support, and the Results report significantly lower postnatal-depression scores at three months among at-risk postpartum mothers. Our copy does not establish that the program provided psychoeducation or was acceptable to participants; it also does not test women across the broader perinatal period. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [26] Shorey S, Ng YP, Danbjørg DB, Dennis CL, Morelius E. Effectiveness of the ‘Home-but not Alone’ mobile health application educational programme on parental outcomes: a randomized controlled trial, study protocol. J Adv Nurs. 2017;73(1):253–64. source
- cites [27] Baumel A, Tinkelman A, Mathur N, Kane JM. Digital peer-support platform (7Cups) as an adjunct treatment for women with postpartum depression: feasibility, acceptability, and preliminary efficacy study. JMIR Mhealth Uhealth. 2018;6(2): e38. source
The Methods (Description of 7Cups; page unavailable) describe peer support and psychoeducation, and the Results (Usability and Acceptability; page unavailable) report that participants found the platform acceptable. The Results (Efficacy) report reduced depression scores, but the Discussion (Principal Findings) says the improvement over treatment as usual was not statistically significant and only suggests a possible added benefit. Thus, the claim overstates established effectiveness and extends a study of women with postpartum depression to the broader perinatal period. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [28] Fealy S, Chan S, Wynne O, Dowse E, Ebert L, Ho R, et al. The Support for New Mums Project: a protocol for a pilot randomized controlled trial designed to test a postnatal psychoeducation smartphone application. J Adv Nurs. 2019;75(6):1347–59. source
The Discussion says mHealth apps may improve psychological and psychosocial well-being for first-time mothers, and reports that women find pregnancy apps helpful for information and support. But this paper is a pilot-trial protocol: its ‘What this paper adds?’ section says acceptability will be assessed, and its Limitations section cautions that a pilot cannot establish intervention effects. The cited passages do not establish that apps offering peer interaction and psychoeducation have been shown to improve perinatal mood symptoms. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [29] Sawyer A, Kaim A, Le HN, McDonald D, Mittinty M, Lynch J, et al. The effectiveness of an app-based nurse-moderated program for new mothers with depression and parenting problems (eMums Plus): pragmatic randomized controlled trial. J Med Internet Res. 2019;21(6): e13689. source
The Qualitative Assessment of the Intervention by Mothers reports that most users found the app components helpful and easy to use, supporting acceptability. But the Conclusions state that the eMums intervention did not reduce depressive symptoms, so this paper does not support the attributed effectiveness in improving mood symptoms. (LLM, conf=0.91)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationOverall, mHealth approaches to perinatal mental health care allow patients to access and review information about PMADs and may decrease stigma and improve the likelihood that patients seek treatment.
“Overall, mHealth approaches to perinatal mental health care allow patients to access and review information about PMADs and may serve to decrease stigma and improve likelihood that patients will seek out treatment [32].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [32] Zhang R, Nicholas J, Knapp AA, Graham AK, Gray E, Kwasny MJ, et al. Clinically meaningful use of mental health apps and its effects on depression: mixed methods study. J Med Internet Res. 2019;21(12): e15644. source
The Introduction says mental health apps can deliver psychoeducation, supporting the general point that patients can access mental health information. The paper does not address perinatal mental health or PMADs, and the passages found do not support the proposed effects on stigma or treatment-seeking. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationIn a study of 36 pregnant women with elevated depression scores, more severe depressive symptoms were associated with a contracted travel radius; a prior day's report of more severe symptoms corresponded with decreased travel radius the next day.
“More severe depressive symptoms were associated with a contracted travel radius; specifically, a prior day’s report of more severe symptoms corresponded with decrease travel radius the subsequent day.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [38] Faherty LJ, Hantsoo L, Appleby D, Sammel MD, Bennett IM, Wiebe DJ. Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy. J Am Med Inform Assoc. 2017;24(4):746–53. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationThe study highlights travel radius alongside physical activity as a relevant measurement for postpartum depression and suggests that decreased physical activity over time could signal more severe perinatal depressive symptoms.
“This study emphasizes the importance of travel radius in addition to physical activity as a relevant measurement for postpartum depression, and also suggests that decreased physical activity over a period of time could be a signal for more severe perinatal depressive symptoms.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [38] Faherty LJ, Hantsoo L, Appleby D, Sammel MD, Bennett IM, Wiebe DJ. Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy. J Am Med Inform Assoc. 2017;24(4):746–53. source
The Abstract reports that travel radius was more strongly associated with mood than mobility, and the Discussion says mobility decreased over time among women with more severe depressive symptoms. However, this study followed women during pregnancy, so its findings do not directly establish travel radius as a measure for postpartum depression. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationReviews have concluded that actigraphy captures significant differences in physical activity and sleep parameters between individuals with psychiatric disorders and healthy controls, and that these measures change with successful treatment.
“These reviews have concluded that, across studies, actigraphy is able to capture significant differences in physical activity and sleep parameters in individuals with psychiatric disorders compared to healthy controls, and these measures change with successful treatment [35–37].”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [35] Tazawa Y, Wada M, Mitsukura Y, Takamiya A, Kitazawa M, Yoshimura M, et al. Actigraphy for evaluation of mood disorders: a systematic review and meta-analysis. J Affect Disord. 2019;253:257–69. source
- cites [36] De Crescenzo F, Economou A, Sharpley AL, Gormez A, Quested DJ. Actigraphic features of bipolar disorder: a systematic review and meta-analysis. Sleep Med Rev. 2017;33:58–69. source
- cites [37] Reinertsen E, Clifford GD. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiol Meas. 2018;39(5):05TR1. source
May combine two claims.
Study design and conductcitationStudies of mHealth for perinatal mood symptoms have been largely limited to mothers without prior mental health histories, those with only mild to moderate depressive symptoms, those with healthy infants, and a single language, which limits generalizability.
“These studies have been largely limited to mothers without prior mental health histories, those with only mild to moderate depressive symptoms, those with healthy infants, and in a single language, limiting the generalizability of this research.”
Quote in the paperSubstantial claim4 of 5 sources checked- cites [25] Shorey S, Chee CYI, Ng ED, Lau Y, Dennis CL, Chan YH. Evaluation of a technology-based peer-support intervention program for preventing postnatal depression (part 1): randomized controlled trial. J Med Internet Res. 2019;21(8): e12410. source
The Methods > Participants passage shows that this trial required English-speaking mothers with healthy infants and excluded mothers with an existing psychiatric illness. The Discussion > Limitations passage identifies its single-language recruitment as a limitation. But the paper does not establish that mHealth studies generally had all these restrictions, and its eligibility criterion of an EPDS score of at least 9 does not limit participants to mild or moderate symptoms. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [26] Shorey S, Ng YP, Danbjørg DB, Dennis CL, Morelius E. Effectiveness of the ‘Home-but not Alone’ mobile health application educational programme on parental outcomes: a randomized controlled trial, study protocol. J Adv Nurs. 2017;73(1):253–64. source
- cites [27] Baumel A, Tinkelman A, Mathur N, Kane JM. Digital peer-support platform (7Cups) as an adjunct treatment for women with postpartum depression: feasibility, acceptability, and preliminary efficacy study. JMIR Mhealth Uhealth. 2018;6(2): e38. source
The Methods (Participants; page unavailable) required participants to speak English, supporting the single-language limitation for this study. But the Results (Participants; page unavailable) say most participants had a prior history of mental illness. The paper does not establish that mHealth studies generally excluded such mothers or were limited to mild-to-moderate symptoms or mothers with healthy infants. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [28] Fealy S, Chan S, Wynne O, Dowse E, Ebert L, Ho R, et al. The Support for New Mums Project: a protocol for a pilot randomized controlled trial designed to test a postnatal psychoeducation smartphone application. J Adv Nurs. 2019;75(6):1347–59. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [29] Sawyer A, Kaim A, Le HN, McDonald D, Mittinty M, Lynch J, et al. The effectiveness of an app-based nurse-moderated program for new mothers with depression and parenting problems (eMums Plus): pragmatic randomized controlled trial. J Med Internet Res. 2019;21(6): e13689. source
The Introduction (page unavailable) describes this trial as addressing mild-to-moderate postnatal depression, and Participants, Recruitment, and Randomization (page unavailable) requires English literacy and reports that mothers with high distress were referred elsewhere. The paper does not establish that mHealth studies generally excluded mothers with prior mental health histories or infants with health problems, or that these restrictions characterize the wider research literature. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationIn a study of postpartum mothers with preterm infants, wrist actigraphy showed that higher daytime activity correlated with decreased postpartum depression symptoms, suggesting the importance of physical activity and circadian activity rhythms, which are often disrupted in PMADs.
“In another study of postpartum mothers with preterm infants, wrist actigraphy demonstrated that higher levels of daytime activity correlated with decreased symptoms of postpartum depression, suggesting not only the importance of physical activity on its own, but also circadian activity rhythms, which are frequently disrupted in PMADs [39].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [39] Obeysekare JL, Cohen ZL, Coles ME, Pearlstein TB, Monzon C, Flynn EE, et al. Delayed sleep timing and circadian rhythms in pregnancy and transdiagnostic symptoms associated with postpartum depression. Transl Psychiatry. 2020;10. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationMany currently available mobile peripartum apps have significant limitations, including poor accessibility, limited usability, lack of inclusivity of women of color, and inadequate evidence-based maternal health information, which may contribute to suboptimal use and engagement.
“Further still, many currently available mobile peripartum apps suffer a number of significant limitations, including lack of accessibility, limited usability, lack of inclusivity of women of color, and inadequate evidence-based maternal health information, all of which may contribute to suboptimal use and engagement [12, 30, 31].”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [12] Dol J, Richardson B, Murphy GT, Aston M, McMillan D, Campbell-Yeo M. Impact of mobile health interventions during the perinatal period on maternal psychosocial outcomes: a systematic review. JBI Evidence Synthesis. 2020;18(1):30–55. source
- cites [30] Tucker L, Villagomez AC, Krishnamurti T. Comprehensively addressing postpartum maternal health: a content and image review of commercially available mobile health apps. BMC Pregnancy Childbirth. 2021;21(1):1–11. source
- cites [31] Hussain-Shamsy N, Shah A, Vigod SN, Zaheer J, Seto E. Mobile health for perinatal depression and anxiety: scoping review. J Med Internet Res. 2020;22(4): e17011. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationIn the same study, women with mild symptoms showed increased physical activity over the 8-week period, while women with more severe symptoms showed the opposite pattern.
“Additionally, while women with mild symptoms demonstrated increased physical activity over the 8-week period, women with more severe symptoms demonstrated the opposite.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [38] Faherty LJ, Hantsoo L, Appleby D, Sammel MD, Bennett IM, Wiebe DJ. Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy. J Am Med Inform Assoc. 2017;24(4):746–53. source
May combine two claims.
InterpretationcitationThe flexibility of digital platforms creates opportunities for prevention, early symptom detection, and facilitation of various treatment options.
“The flexibility inherent in digital platform modalities represent opportunities for prevention, early symptom detection, and facilitation of various treatment options [8].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [8] Müller M, Matthies LM, Goetz M, Abele H, Brucker SY, Bauer A, et al. Effectiveness and cost-effectiveness of an electronic mindfulness-based intervention (eMBI) on maternal mental health during pregnancy: the mindmom study protocol for a randomized controlled clinical trial. Trials. 2020;21(1):933. source
The Methods describe digitally transmitted screening questionnaires for detecting maternal distress, and the Discussion presents the mindmom app as a promising way to deliver mindfulness-based help and potentially prevent postnatal depression (pages not provided). The paper supports these opportunities in antenatal mental health care, but does not establish the broader claim that digital platforms facilitate various treatment options. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe Department of Mental Health in Los Angeles County launched a Reproductive Psychiatry eConsultation Pilot Project in which 59 psychiatrists received specific training in reproductive psychiatry and psychopharmacology.
“Here the Department of Mental Health in Los Angeles County launched a Reproductive Psychiatry eConsultation Pilot Project in which 59 psychiatrists received specific training in reproductive psychiatry and psychopharmacology.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [59] Dossett EC, Benitez C, Garcia N. Perinatal mental health in community psychiatry: a reproductive psychiatry eConsult pilot project. PS. 2019;70(11):1075–6. source
May combine two claims.
PremisecitationStudies using VRET to treat preoperative anxiety related to other surgical procedures have found improvements in both preoperative anxiety and postoperative satisfaction.
“Studies using VRET to treat preoperative anxiety related to other surgical procedures have found that both preoperative anxiety and post-operative satisfaction were improved [49, 50].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [49] Bekelis K, Calnan D, Simmons N, MacKenzie TA, Kakoulides G. Effect of an immersive preoperative virtual reality experience on patient reported outcomes: a randomized controlled trial. Ann Surg. 2017;265(6):1068–73. source
- cites [50] Koo C-H, Park J-W, Ryu J-H, Han S-H. The effect of virtual reality on preoperative anxiety: a meta-analysis of randomized controlled trials. J Clin Med. 2020;9(10):3151. source
The Results (§3.2; page unavailable) report significantly lower preoperative anxiety in the VR group overall, with a significant effect in pediatric patients but not adults. The Results (§3.3; page unavailable) found no significant improvement in postoperative satisfaction, so the claim that both outcomes improved is not supported. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationWearable data can provide important biological information about a patient's wellness and has potential for use in biofeedback interventions, which have been demonstrated to reduce mental health symptoms in the perinatal period.
“Not only can this provide important biological information about a patient’s wellness, but it also has the potential for use in biofeedback interventions that have been demonstrated to be successful interventions to reduce mental health symptoms in the perinatal period [72–74].”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [72] Kudo N, Shinohara H, Kodama H. Heart rate variability biofeedback intervention for reduction of psychological stress during the early postpartum period. Appl Psychophysiol Biofeedback. 2014;39(3–4):203–11. source
- cites [73] Beckham AJ, Greene TB, Meltzer-Brody S. A pilot study of heart rate variability biofeedback therapy in the treatment of perinatal depression on a specialized perinatal psychiatry inpatient unit. Arch Womens Ment Health. 2013;16(1):59–65. source
The Methods describe an earlobe pulse sensor that provides real-time heart-rhythm feedback, and the Results report significantly reduced anxiety scores after biofeedback sessions. However, the device was a desktop system, not evidence about wearable data generally. The Conclusion calls the findings promising and says a controlled study is needed, so describing biofeedback as a demonstrated successful intervention overstates this pilot study. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [74] Herbell K, Zauszniewski JA. Reducing psychological stress in peripartum women with heart rate variability biofeedback: a systematic review. J Holist Nurs. 2019;37(3):273–85. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBecause the program was separate from the electronic medical record, many individuals found using the platform cumbersome and time consuming.
“Because the program was separate from the EMR, many individuals found using the platform cumbersome and time consuming.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [59] Dossett EC, Benitez C, Garcia N. Perinatal mental health in community psychiatry: a reproductive psychiatry eConsult pilot project. PS. 2019;70(11):1075–6. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAccording to feedback from primary care practitioners, decreased psychiatric eConsult utilization might be because psychiatric issues are perceived as more nuanced and lack associated lab values, imaging, or objective measurements that facilitate consultation without face-to-face evaluation.
“According to feedback from primary care practitioners (PCPs), this decreased utilization might be due to the fact that psychiatric issues are perceived as being more “nuanced” with lack of associated lab values, imaging or objective measurements that can facilitate consultation in the absence of face-to-face evaluation [56].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [56] Hensel JM, Yang R, Rai M, Taylor VH. Optimizing electronic consultation between primary care providers and psychiatrists: mixed-methods study. J Med Internet Res. 2018;20(4): e124. source
May combine two claims.
InterpretationcitationeConsultation has many advantages of an integrative health model, allowing care to be delivered within the patient's current setting and reducing potential stigma and non-adherence associated with outside specialist visits.
“Furthermore, eConsultation has many of the advantages of an integrative health model, allowing care to be delivered within the patient’s current setting, and thus reducing the potential stigma and non-adherence that can occur with the need for outside visits to a specialist [52].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [52] Lowenstein M, Bamgbose O, Gleason N, Feldman MD. Psychiatric consultation at your fingertips: descriptive analysis of electronic consultation from primary care to psychiatry. J Med Internet Res. 2017;19(8): e279. source
May combine two claims.
FindingcitationIn that trial, 86% of women in the treatment condition completed all sessions and reported satisfaction with the program.
“Furthermore, 86% of the women in treatment condition completed all session, and reported satisfaction with the program [43].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [43] Milgrom J, Danaher BG, Gemmill AW, Holt C, Holt CJ, Seeley JR, et al. Internet cognitive behavioral therapy for women with postnatal depression: a randomized controlled trial of MumMoodBooster. J Med Internet Res. 2016;18(3): e4993. source
May combine two claims.
FindingcitationIn a small randomized controlled trial (N=43) of a 6-session I-CBT intervention for postpartum women with diagnosed depression, after 12 weeks 79% of the 21 women in the treatment group no longer met diagnostic criteria for depression, compared with 18% of the 22 women receiving treatment as usual.
“In one small (N = 43) randomized control trial of a 6-session I-CBT intervention with women in the postpartum period with diagnosed depression, delivery of an internet-based intervention, supported with low-intensity coaching via telephone, showed that after 12 weeks 79% of the 21 women who received the treatment no longer met diagnostic criteria for depression whereas only 18% of the 22 women who”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [43] Milgrom J, Danaher BG, Gemmill AW, Holt C, Holt CJ, Seeley JR, et al. Internet cognitive behavioral therapy for women with postnatal depression: a randomized controlled trial of MumMoodBooster. J Med Internet Res. 2016;18(3): e4993. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationResearch on mHealth-based care approaches has shown improved outcomes during pregnancy and the postpartum period, although not specifically for perinatal mental health.
“Research on utilization of mHealth-based care approaches have demonstrated improved outcomes during both pregnancy and in the postpartum period, though not specific to perinatal mental health [18].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Lee Y, Cho S. Technology-supported interventions for pregnant women: a systematic review. CIN: Computers, Informatics, Nursing. 2019;37(10):501–12. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThere has been little research devoted specifically to the use of wearables in PMADs.
“Similar to mHealth interventions, there has been little research devoted specifically to the use of wearables with PMADs.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationEmerging evidence provides preliminary support that mHealth interventions can prevent PMADs and relieve mild symptoms.
“Emerging evidence has provided preliminary support for the efficacy of mHealth interventions in both preventing PMADs and relieving mild symptoms [17••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [17••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenCurrently, there is little published literature about the use of eConsultation specific to perinatal mental health.
“Currently, there is little published literature about the use of eConsultation that is specific to perinatal mental health.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Findingnone givenMany of the I-CBT derivations mentioned in research studies are not necessarily available to the public at this time, preventing more evidence-based adoption.
“However, many of the derivations of I-CBT mentioned in research studies are not necessarily available to the public at this time, preventing more evidence-based adoption.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Findingnone givenThe current status of technology research in PMADs does not lend itself to easily implementable evidence-based recommendations for the average mental health clinician.
“Unfortunately, the current status of technology research in PMADS does not lend itself to easily implementable evidence-based recommendations for the average mental health clinician.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationIn a randomized controlled trial applying VRET to preoperative anxiety surrounding Cesarean section, results were inconclusive; they trended toward significance (p = 0.08), and the authors noted the analysis was underpowered.
“When VRET was applied to preoperative anxiety surrounding the c-section procedure in a randomized controlled trial, however, the results were inconclusive. Specifically, results trended towards significance (p = 0.08) with the authors noting that the analysis was underpowered [51•].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [51•]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingnone givenThis is still an emerging area establishing feasibility of concept; to date, no research study has used these predictive approaches to establish a preventive intervention.
“Still, this is an emerging area that still establishing feasibility of concept—to date, no research study has utilized these predictive approaches to establish a preventive intervention.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenInterventions are perhaps the most well researched and evaluated category of technology integration.
“Interventions are perhaps the most well researched and evaluated.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe American College of Obstetricians and Gynecologists recommends ongoing care and regular screening for perinatal mood and anxiety disorders.
“Although the American College of Obstetricians and Gynecologists (ACOG) recommends ongoing care and regular screenings for PMADs to address these concerns [4, 5]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [4] Earls MF, Yogman MW, Mattson G, Rafferty J. Incorporating recognition and management of perinatal depression into pediatric practice. Pediatrics. 2019;143(1): e20183259. source
- cites [5] Presidential task force on redefining the pospartum visit committee on obstetric practice. ACOG Committee Opinion No. 736: Optimizing Postpartum Care. Obstetrics & Gynecology. 2018;131(5):e140-e50. source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe shift toward digital platform use presents opportunities to implement novel approaches that supplement traditional health care.
“This represents a drastic shift from just several years ago and presents opportunities for implementation of novel approaches to supplement traditional health care [16].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] Firth J, Torous J, Nicholas J, Carney R, Pratap A, Rosenbaum S, et al. The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials. World Psychiatry. 2017;16(3):287–98. source
May combine two claims.
Interpretationnone givenMobile health technologies allow widespread access to tools that support prevention of PMADs and promote symptom awareness and quicker access to services.
“Mobile health (mHealth) technologies allow for widespread access to tools that support efforts to prevent development of PMADS and promote awareness of symptoms and quicker access to services when they are needed.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningWearable data are not necessarily always sensitive and specific to mental health disorders and should never replace skilled evaluation.
“Like any clinical measurement, data from wearables is not necessarily always sensitive and specific to mental health disorders, and thus should never be a replacement for skilled evaluation.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningCommonly available technology such as phones and activity monitors can improve access to preventive services and enable remote monitoring of symptoms for detection and progress monitoring of PMADs.
“As summarized thus far, common technology to which most patients have access (phones, activity monitors) can allow for improved access to preventive services and remote monitoring of symptoms for both detection and progress-monitoring of PMADS.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationIn the perinatal period, mHealth can provide social connection through web forums or clinician-hosted virtual support groups, mobile self-screening and psychoeducation about symptoms and support, and interactive platforms for sharing coping, symptoms, and behaviors with providers.
“In the perinatal period, mHealth may be used to provide social connection through web-based social forums or clinician-hosted virtual support groups, mobile phone apps for screening for self-screening for symptoms and to provide psychoeducation about symptoms and how to obtain support, or interactive platforms to briefly share information about coping, symptoms, and behaviors with providers [17••]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningGreater use of technology could address access, cost, and acceptance barriers by enabling new modes of communication, data collection, and patient experience.
“Increased use of technology has the potential to address all three of these barriers by facilitating modes of communication, data collection, and patient experience.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent ACOG guidelines have highlighted the use of technology and mobile app-based tools in optimizing postpartum care within and outside the clinic.
“Recent ACOG guidelines have highlighted the use of technology and mobile app-based tools in optimizing postpartum care within and outside of the clinic [5].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Presidential task force on redefining the pospartum visit committee on obstetric practice. ACOG Committee Opinion No. 736: Optimizing Postpartum Care. Obstetrics & Gynecology. 2018;131(5):e140-e50. source
May combine two claims.
PremisecitationIn the United States, 27% of metropolitan counties lack a psychiatrist and 19% lack a psychologist, while 65% of non-metropolitan counties lack a psychiatrist and 47% lack a psychologist.
“with 27% and 19% of metropolitan counties lacking a psychiatrist or a psychologist, respectively [6••]. This lack is more pronounced in rural areas, increasing to 65% and 47% of non-metropolitan counties lacking a psychiatrist or psychologist, respectively [6••].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6••]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningMany patients require more individualized care than mHealth can provide, making other technology-based approaches involving symptom monitoring and direct intervention more appropriate.
“However, many patients require more individualized care approaches that are more appropriate for other technology-based approaches to mental health care delivery that involve both symptom monitoring and direct intervention.”
Quote in the paperSubstantial claim- Rests on an assumption: Many patients with PMADs require more individualized care than mHealth subclinical interventions can provide.
May combine two claims.
InterpretationreasoningWearable technology can potentially avoid the need for in-office appointments through remote data communication and can help detect and monitor perinatal mental health and wellness through ongoing collection of proxy indicators such as reduced movement, social engagement, and sleep.
“Not only can such technology potentially help avoid the need for in-office appointments via remote communication of data, it can help in the detection and progress-monitoring of mental health and wellness during the perinatal period through ongoing collection of data that are proxy indicators for declining mental health (e.g., reduced movement/activity, social engagement, and sleep).”
Quote in the paperSubstantial claim- Rests on an assumption: Wearable data such as reduced movement, social engagement, and sleep are proxy indicators for declining mental health.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenAn extensive literature describes the utility of wearables in psychiatric disorders outside the perinatal period, suggesting potential for application to PMADs.
“However, there is now an extensive literature describing the utility of wearables in psychiatric disorders outside the perinatal period which in turn suggest its potential for application to PMADs.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningeConsultation allows rapid access to specialist expertise, avoiding the often-long wait times of direct referral and the difficulties of coordinating phone time between busy practitioners.
“This allows for rapid access to specialist expertise, avoiding the often-long wait times of direct referral as well as the difficulties of coordinating phone time between two busy practitioners.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe World Health Organization recently recognized the potential of technology-based interventions to reduce health disparities and encouraged prioritization of development, evaluation, and implementation of technology-based approaches to perinatal mental health care to promote equitable, accessible, and affordable evidence-based care.
“The World Health Organization recently recognized the potential of technology-based interventions in reducing health disparities, and encouraged the prioritization of the development, evaluation, implementation of technology-based approaches to perinatal mental health care promote equitable, accessible, and affordable evidence-based care [70].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] Organization WH. WHO guideline: recommendations on digital interventions for health system strengthening: World Health Organization. 2019.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationMachine learning using health care records can predict postpartum depression and need for postpartum psychiatric admission with impressive psychometric accuracy.
“ML utilizing health care records can predict postpartum depression as well as need for postpartum psychiatric admission with impressive psychometric accuracy [61–63, 64•, 65–67].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [61–63, 64•, 65–67]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationTraditional exposure therapy can have substantial time, cost, and risk, and has a 25% rejection rate when introduced as a treatment option.
“Specifically, traditional exposure therapy can have substantial time, cost, and risk associated with it (e.g., driving on a busy highway with the patient), and has a 25% rejection rate when introduced as a treatment option [45].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Garcia-Palacios A, Botella C, Hoffman H, Fabregat S. Comparing acceptance and refusal rates of virtual reality exposure vs. in vivo exposure by patients with specific phobias. Cyberpsychol Behav. 2007;10(5):722–4. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationUnder new Center for Medicaid and Medicare Services billing guidelines, time spent communicating using eConsultation would likely count toward the total billable time of the encounter if done on the same day.
“Though it should be noted that under new Center for Medicaid and Medicare Services billing guidelines, time taken to communicate using eConsultation would likely count towards to total billable time of the encounter, so long as it was done on the same day [60].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] Centers for Medicare and Medicaid Services. 2020. https://www.cms.gov/medicaremedicare-fee-service-paymentphysicianfeeschedpfs-federal-regulation-notices/cms-1734-f
Not checked in the free run.
May combine two claims.
InterpretationcitationInternet-delivered interventions, compared with traditional face-to-face modalities, offer opportunities to expand access and maintain engagement, reduce costs to patients and medical systems, and enhance privacy.
“Utilization of internet-delivered interventions in comparison to traditional face-to-face modalities, represent opportunities to (a) expand access and maintain engagement in mental health services; (b) reduce costs to patients and medical systems; and (c) and enhance privacy [9••, 10, 11].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9••, 10, 11]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApproximately 32% of all deliveries in the United States are via Cesarean section.
“Approximately 32% of all deliveries in the US are via Cesarean-section c-section [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Martin JA, Hamilton BE, Osterman MJK, Driscoll AK. Births: final data for 2018. Natl Vital Stat Rep. 2019;68(13):1–47.
May combine two claims.
InterpretationreasoningFurther research is required, but there is promise that VRET for preoperative anxiety surrounding Cesarean section may reduce the odds of developing PMADs after surgery.
“Thus, at this time, further research is required on this topic, but there is promise that use of VRET to treat preoperative anxiety surrounding c-section may be able to reduce the odds of post-surgical development of PMADs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenTechnology in perinatal mental health has the potential to improve the lives of infants, mothers, partners, and families by improving accessibility to specialized care, enhancing preventative care, and facilitating clinician-patient communication.
“Technology in perinatal mental health has the potential to improve the lives of infants, mothers, partners, and families through improving accessibility to specialized care, enhancing preventative care, and facilitating clinician-patient communication.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenInternet-based cognitive behavioral therapy treatments for PMADs, accessible at home through mobile devices or computers, allow clinicians to provide evidence-based interventions without relying solely on traditional face-to-face therapy sessions.
“Internet-based cognitive behavioral therapy (I-CBT) treatments for PMADS, which patients may access in their homes through mobile devices or computers, allow clinicians to provide evidence-based interventions for PMADs without relying on a solely face-to-face traditional therapy session.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenStudies of technology in mental health care suffer from limited replicability and methodological concerns, including non-generalizable clinical populations, small sample sizes, relatively few randomized controlled trials, and lack of diversity.
“Studies suffer from limited replicability and methodological concerns (non-generalizable clinical populations utilized, small sample sizes, relatively few RCTs, lack of diversity, etc.), but emerging research is promising and exciting.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationVRET has a rejection rate of only 3%, and 70% of participants expressed a preference for VRET over exposure therapy.
“In contrast, VRET has a rejection rate of only 3% and in comparing preference for the two treatment options, 70% of participants expressed a preference for VRET over ET [45].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [45] Garcia-Palacios A, Botella C, Hoffman H, Fabregat S. Comparing acceptance and refusal rates of virtual reality exposure vs. in vivo exposure by patients with specific phobias. Cyberpsychol Behav. 2007;10(5):722–4. source
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenUse of technology in mental health has the potential to provide creative and novel solutions to traditional limitations, including improving access to care, identification, early intervention, and treatment.
“The use of technology in addressing mental health has the exciting potential for creative and novel solutions to traditional limitations, including improving access to care, identification, early intervention, and treatment (for a summary, see Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe overarching conclusion of this literature is that eConsultation is associated with improved access to specialist care and is perceived positively by both patients and providers.
“The overarching conclusion of this literature is that eConsultation is associated with improved access to specialist care and is perceived positively by both patients and providers [53•, 54, 55].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53•, 54, 55]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
Interpretationnone givenI-CBT tools, whether services or smartphone apps, represent options for individuals with limited access to therapy.
“Finally, I-CBT tools (either services or smartphone apps) represent options for individuals for whom access to therapy is limited.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThis points to both the need for and appropriateness of eConsultation for PMADs when the consulting practitioner requires expertise on psychotropic safety in pregnancy and breastfeeding but otherwise feels comfortable with management.
“This points to both the need and appropriateness of eConsultation for PMADs in which the consulting practitioner requires expertise on psychotropic safety in pregnancy and breastfeeding but otherwise feels comfortable with management.”
Quote in the paperSubstantial claim
The paper relies on this without support.
Mental health clinicians typically have few objective measures and rely on subjective reports that are vulnerable to bias and inaccuracy.
“Specifically, the mental health clinician usually has very few objective measures at their disposal for diagnosis and management, relying on subjective reports that are vulnerable to bias and inaccuracy as the patient attempts to describe their symptoms over the past weeks and months.”
The paper relies on this without support.
Many patients with PMADs require more individualized care than mHealth subclinical interventions can provide.
“However, many patients require more individualized care approaches that are more appropriate for other technology-based approaches to mental health care delivery that involve both symptom monitoring and direct intervention.”
The paper relies on this without support.
Wearable data such as reduced movement, social engagement, and sleep are proxy indicators for declining mental health.
“it can help in the detection and progress-monitoring of mental health and wellness during the perinatal period through ongoing collection of data that are proxy indicators for declining mental health (e.g., reduced movement/activity, social engagement, and sleep).”
The paper relies on this without support.
Actigraphy has high face validity for psychiatric disorders.
“Actigraphy has a high-degree of relevant face-value for psychiatric disorders and is also easy to measure and interpret using currently available technology.”
The paper relies on this without support.
Preoperative anxiety may be the mechanism underlying the relationship between Cesarean section and PMADs.
“and evidence exists suggesting that preoperative anxiety may be the mechanism underlying this relationship.”
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BackgroundPerinatal mental health: a review of progress and challenges
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“The overarching conclusion of this literature is that eConsultation is associated with improved access to specialist care and is perceived positively by both patients and providers [53 • , 54, 55].”
BackgroundGeographic Variation in the Supply of Selected Behavioral Health Providers
Andrilla, C. H. A., Patterson, D. G., Garberson, L. A., Coulthard, C., & Larson, E. H. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.01.004 · Cited by 419 · see citing works
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“In contrast, VRET has a rejection rate of only 3% and in comparing preference for the two treatment options, 70% of participants expressed a preference for VRET over ET [45].”
BackgroundIncorporating Recognition and Management of Perinatal Depression Into Pediatric Practice
Earls, M. F., Yogman, M. W., Mattson, G., Rafferty, J., COMMITTEE ON PSYCHOSOCIAL ASPECTS OF CHILD AND FAMILY HEALTH, Baum, R., Gambon, T., Lavin, A., & Wissow, L. (2019) · Pediatrics · doi:10.1542/peds.2018-3259 · Cited by 327 · cited 2× · see citing works
“Beyond the fiscal burden, maternal suicide is a leading cause of maternal mortality with rates of suicide peaking in the postpartum period [2–4].”
BackgroundLuca, D. L., Margiotta, C., Staatz, C., Garlow, E., Christensen, A., & Zivin, K. (2020) · American Journal of Public Health · doi:10.2105/ajph.2020.305619 · Cited by 303 · see citing works
Incorporating Recognition and Management of Perinatal Depression Into Pediatric Practice
Rafferty, J. R., Mattson, G. L., Earls, M. F., Yogman, M. W., Gambon, T. B., Lavin, A., & Wissow, L. S. (2018) · PEDIATRICS · doi:10.1542/peds.2018-3260 · Cited by 269 · see citing works
Milgrom, J., Danaher, B. G., Gemmill, A. W., Holt, C., Holt, C. J., Seeley, J. R., Tyler, M. S., Ross, J., & Ericksen, J. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4993 · Cited by 221 · cited 1× · see citing works
“Furthermore, 86% of the women in treatment condition completed all session, and reported satisfaction with the program [43].”
BackgroundMaternal self-harm deaths: an unrecognized and preventable outcome
Mangla, K., Hoffman, M. C., Trumpff, C., O’Grady, S., & Monk, C. (2019) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2019.02.056 · Cited by 215 · see citing works
Liddy, C., Drosinis, P., & Keely, E. (2016) · Family Practice · doi:10.1093/fampra/cmw024 · Cited by 195 · cited 1× · see citing works
“The overarching conclusion of this literature is that eConsultation is associated with improved access to specialist care and is perceived positively by both patients and providers [53 • , 54, 55].”
BackgroundBekelis, K., Calnan, D., Simmons, N., MacKenzie, T. A., & Kakoulides, G. (2017) · Annals of Surgery · doi:10.1097/sla.0000000000002094 · Cited by 192 · cited 1× · see citing works
“Studies using VRET to treat preoperative anxiety related to other surgical procedures have found that both preoperative anxiety and post-operative satisfaction were improved [49, 50].”
BackgroundLiddy, C., Moroz, I., Mihan, A., Nawar, N., & Keely, E. (2019) · Telemedicine and e-Health · doi:10.1089/tmj.2018.0005 · Cited by 151 · see citing works
Lau, Y., Htun, T. P., Wong, S. N., Tam, W. S. W., & Klainin-Yobas, P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6712 · Cited by 149 · cited 1× · see citing works
“Many expectant parents routinely use app-based tools as a way of accessing relevant health information during pregnancy [13, 14].”
BackgroundRäisänen, S., Lehto, S. M., Nielsen, H. S., Gissler, M., Kramer, M. R., & Heinonen, S. (2013) · BMJ Open · doi:10.1136/bmjopen-2013-004047 · Cited by 142 · cited 1× · see citing works
“Women undergoing this procedure are at increased likelihood of developing PMADs [47], and evidence exists suggesting that preoperative anxiety may be the mechanism underlying this relationship.”
BackgroundPredicting women with depressive symptoms postpartum with machine learning methods
Andersson, S., Bathula, D. R., Iliadis, S. I., Walter, M., & Skalkidou, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-86368-y · Cited by 138 · see citing works
Reinertsen, E., & Clifford, G. D. (2018) · Physiological Measurement · doi:10.1088/1361-6579/aabf64 · Cited by 136 · cited 2× · see citing works
“These reviews have concluded that, across studies, actigraphy is able to capture significant differences in physical activity and sleep parameters in individuals with psychiatric disorders compared to healthy controls, and these measures change with successful treatment [35–37].”
BackgroundMachine Learning-Based Predictive Modeling of Postpartum Depression
Shin, D., Lee, K. J., Adeluwa, T., & Hur, J. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9092899 · Cited by 130 · cited 1× · see citing works
“ML utilizing health care records can predict postpartum depression as well as need for postpartum psychiatric admission with impressive psychometric accuracy [61–63, 64 • , 65–67].”
MethodActigraphic features of bipolar disorder: A systematic review and meta-analysis
De Crescenzo, F., Economou, A., Sharpley, A. L., Gormez, A., & Quested, D. J. (2017) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2016.05.003 · Cited by 128 · see citing works
Preoperative anxiety and postoperative satisfaction in women undergoing elective caesarean section
Hobson, J. A., Slade, P., Wrench, I. J., & Power, L. (2006) · International Journal of Obstetric Anesthesia · doi:10.1016/j.ijoa.2005.05.008 · Cited by 127 · cited 1× · see citing works
“[48].”
Shorey, S., Chee, C. Y. I., Ng, E. D., Lau, Y., Dennis, C.-L., & Chan, Y. H. (2019) · Journal of Medical Internet Research · doi:10.2196/12410 · Cited by 125 · cited 1× · see citing works
“Specifically, mHealth technologies that provide platforms for peer interaction and support and psychoeducation have been shown to be both acceptable and effective in improving mood symptoms in women during the perinatal period [25–29].”
BackgroundLoughnan, S. A., Joubert, A. E., Grierson, A., Andrews, G., & Newby, J. M. (2019) · Archives of Women's Mental Health · doi:10.1007/s00737-019-00961-9 · Cited by 123 · see citing works
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“The COVID-19 pandemic facilitated an explosion in the integration of technology services in healthcare although it is unclear how these services will persist beyond the current crisis [71].”
BackgroundMobile Health for Perinatal Depression and Anxiety: Scoping Review
Hussain-Shamsy, N., Shah, A., Vigod, S. N., Zaheer, J., & Seto, E. (2020) · Journal of Medical Internet Research · doi:10.2196/17011 · Cited by 119 · cited 1× · see citing works
“…mobile peripartum apps suffer a number of significant limitations, including lack of accessibility, limited usability, lack of inclusivity of women of color, and inadequate evidence-based maternal health information, all of which may contribute to suboptimal use and engagement [12, 30, 31].”
BackgroundActigraphy for evaluation of mood disorders: A systematic review and meta-analysis
Tazawa, Y., Wada, M., Mitsukura, Y., Takamiya, A., Kitazawa, M., Yoshimura, M., Mimura, M., & Kishimoto, T. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.04.087 · Cited by 115 · cited 2× · see citing works
“These reviews have concluded that, across studies, actigraphy is able to capture significant differences in physical activity and sleep parameters in individuals with psychiatric disorders compared to healthy controls, and these measures change with successful treatment [35–37].”
BackgroundHochman, E., Feldman, B., Weizman, A., Krivoy, A., Gur, S., Barzilay, E., Gabay, H., Levy, J., Levinkron, O., & Lawrence, G. M. (2020) · Depression and Anxiety · doi:10.1002/da.23123 · Cited by 108 · see citing works
Zhang, W., Liu, H., Silenzio, V., Qiu, P., & Gong, W. (2020) · JMIR Medical Informatics · doi:10.2196/15516 · Cited by 102 · cited 1× · see citing works
“ML utilizing health care records can predict postpartum depression as well as need for postpartum psychiatric admission with impressive psychometric accuracy [61–63, 64 • , 65–67].”
MethodBaumel, A., Tinkelman, A., Mathur, N., & Kane, J. M. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.9482 · Cited by 101 · see citing works
Sawyer, A., Kaim, A., Le, H.-N., McDonald, D., Mittinty, M., Lynch, J., & Sawyer, M. (2019) · Journal of Medical Internet Research · doi:10.2196/13689 · Cited by 101 · cited 1× · see citing works
“Specifically, mHealth technologies that provide platforms for peer interaction and support and psychoeducation have been shown to be both acceptable and effective in improving mood symptoms in women during the perinatal period [25–29].”
BackgroundTazawa, Y., Liang, K.-C., Yoshimura, M., Kitazawa, M., Kaise, Y., Takamiya, A., Kishi, A., Horigome, T., Mitsukura, Y., Mimura, M., et al. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e03274 · Cited by 101 · cited 1× · see citing works
“Furthermore, many of the studies on wearable technology use apps and algorithms were specifically designed by/for the research team and are not easily available to the average clinician and patient [40, 41].”
BackgroundUsing Electronic Health Records and Machine Learning to Predict Postpartum Depression
Shuojia, W., Jyotishman, P., & Yiye, Z. (2019) · Studies in Health Technology and Informatics · doi:10.3233/shti190351 · Cited by 99 · see citing works
Koo, C.-H., Park, J.-W., Ryu, J.-H., & Han, S.-H. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9103151 · Cited by 96 · cited 1× · see citing works
“Studies using VRET to treat preoperative anxiety related to other surgical procedures have found that both preoperative anxiety and post-operative satisfaction were improved [49, 50].”
BackgroundZhou, C., Hu, H., Wang, C., Zhu, Z., Feng, G., Xue, J., & Yang, Z. (2020) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x20917816 · Cited by 95 · see citing works
Noben, L., Goossens, S. M. T. A., Truijens, S. E. M., van Berckel, M. M. G., Perquin, C. W., Slooter, G. D., & van Rooijen, S. J. (2019) · JMIR Mental Health · doi:10.2196/15872 · Cited by 92 · cited 1× · see citing works
“Specifically, results trended towards significance ( p = 0.08) with the authors noting that the analysis was underpowered [51 • ].”
ResultInfluentialClinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study
Zhang, R., Nicholas, J., Knapp, A. A., Graham, A. K., Gray, E., Kwasny, M. J., Reddy, M., & Mohr, D. C. (2019) · Journal of Medical Internet Research · doi:10.2196/15644 · Cited by 91 · cited 1× · see citing works
“Overall, mHealth approaches to perinatal mental health care allow patients to access and review information about PMADs and may serve to decrease stigma and improve likelihood that patients will seek out treatment [32].”
BackgroundRichardson, B., Dol, J., Rutledge, K., Monaghan, J., Orovec, A., Howie, K., Boates, T., Smit, M., & Campbell-Yeo, M. (2018) · JMIR mhealth and uhealth · doi:10.2196/11620 · Cited by 84 · cited 1× · see citing works
“Other platforms aim to improve preparedness for pre-term birth, labor/ delivery, NICU transition to home, infant care, or parental attachment [22, 23].”
BackgroundPrediction of postpartum depression using machine learning techniques from social media text
Fatima, I., Abbasi, B. U. D., Khan, S., Al‐Saeed, M., Ahmad, H. F., & Mumtaz, R. (2019) · Expert Systems · doi:10.1111/exsy.12409 · Cited by 84 · see citing works
Fonseca, A., Alves, S., Monteiro, F., Gorayeb, R., & Canavarro, M. C. (2020) · Behavior Therapy · doi:10.1016/j.beth.2019.09.007 · Cited by 82 · cited 1× · see citing works
“Thus, a primary advantage of mHealth technologies as an adjunct to the traditional, in-person medical office visit is the broader reach across patient populations and the opportunities for enhanced contact to enhance care in pregnancy [24].”
BackgroundEstimation of postpartum depression risk from electronic health records using machine learning
Amit, G., Girshovitz, I., Marcus, K., Zhang, Y., Pathak, J., Bar, V., & Akiva, P. (2021) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-021-04087-8 · Cited by 82 · see citing works
Dol, J., Richardson, B., Murphy, G. T., Aston, M., McMillan, D., & Campbell-Yeo, M. (2020) · JBI Evidence Synthesis · doi:10.11124/jbisrir-d-19-00191 · Cited by 77 · cited 2× · see citing works
“…to prevent development of PMADS and promote awareness of symptoms and quicker access to services when they are needed. mHealth technologies use portable electronic devices to support public health and health care delivery through text messages, blogs/forums, social media, and digital apps [12].”
BackgroundThe Health-e Babies App for antenatal education: Feasibility for socially disadvantaged women
Dalton, J. A., Rodger, D., Wilmore, M., Humphreys, S., Skuse, A., Roberts, C. T., & Clifton, V. L. (2018) · PLOS ONE · doi:10.1371/journal.pone.0194337 · Cited by 75 · cited 1× · see citing works
“Many expectant parents routinely use app-based tools as a way of accessing relevant health information during pregnancy [13, 14].”
BackgroundObeysekare, J. L., Cohen, Z. L., Coles, M. E., Pearlstein, T. B., Monzon, C., Flynn, E. E., & Sharkey, K. M. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0683-3 · Cited by 75 · cited 1× · see citing works
“…at 4.2 billion per birth year cohort and approximately $32,000 per mother-parent dyad due to lost productivity costs, increased maternal health and obstetric-specific expenditures, and child expenditures related to preterm birth, developmental and behavioral challenges, and child injury [1].”
BackgroundInfluentialKudo, N., Shinohara, H., & Kodama, H. (2014) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-014-9259-4 · Cited by 70 · see citing works
Beckham, A. J., Greene, T. B., & Meltzer-Brody, S. (2013) · Archives of Women's Mental Health · doi:10.1007/s00737-012-0318-7 · Cited by 62 · see citing works
Faherty, L. J., Hantsoo, L., Appleby, D., Sammel, M. D., Bennett, I. M., & Wiebe, D. J. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx005 · Cited by 62 · cited 1× · see citing works
“In one study, 36 pregnant women with elevated depression scores used an app on their smart phone to monitor both daily physical activity (steps walked) as well as daily travel radius (via GPS) for 8 weeks [38].”
MethodCarr, O., Saunders, K. E. A., Tsanas, A., Bilderbeck, A. C., Palmius, N., Geddes, J. R., Foster, R., Goodwin, G. M., & De Vos, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-19888-9 · Cited by 57 · cited 1× · see citing works
“Furthermore, many of the studies on wearable technology use apps and algorithms were specifically designed by/for the research team and are not easily available to the average clinician and patient [40, 41].”
BackgroundEvaluation of an electronic consultation service in psychiatry for primary care providers
Archibald, D., Stratton, J., Liddy, C., Grant, R. E., Green, D., & Keely, E. J. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1701-3 · Cited by 46 · cited 1× · see citing works
“For example, in one study, PCPs reported that following 30% of their eConsultations to psychiatry, they no longer felt the need to refer the patient [57].”
BackgroundMackintosh, N., Agarwal, S., Adcock, K., Armstrong, N., Briley, A., Patterson, M., Sandall, J., & (Sarah) Gong, Q. (2020) · Midwifery · doi:10.1016/j.midw.2020.102803 · Cited by 45 · see citing works
Tucker, L., Villagomez, A. C., & Krishnamurti, T. (2021) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-021-03785-7 · Cited by 43 · cited 1× · see citing works
“…mobile peripartum apps suffer a number of significant limitations, including lack of accessibility, limited usability, lack of inclusivity of women of color, and inadequate evidence-based maternal health information, all of which may contribute to suboptimal use and engagement [12, 30, 31].”
BackgroundMo, Y., Gong, W., Wang, Y., Sheng, X., & Xu, D. R. (2018) · JMIR mhealth and uhealth · doi:10.2196/11508 · Cited by 36 · see citing works
Shatte, A. B. R., Hutchinson, D. M., Fuller-Tyszkiewicz, M., & Teague, S. J. (2020) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2019.0746 · Cited by 36 · cited 1× · see citing works
“Similar predictive capacity with ML for postpartum depression has been demonstrated when utilizing data from social media posting in mothers [68] and fathers [69].”
BackgroundLowenstein, M., Bamgbose, O., Gleason, N., & Feldman, M. D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7921 · Cited by 35 · see citing works
Predicting postpartum psychiatric admission using a machine learning approach
Betts, K. S., Kisely, S. R., & Alati, R. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.07.002 · Cited by 35 · see citing works
Kernot, J., Lewis, L. K., Olds, T., & Maher, C. A. (2018) · Journal of Physical Activity and Health · doi:10.1123/jpah.2017-0573 · Cited by 34 · see citing works
Müller, M., Matthies, L. M., Goetz, M., Abele, H., Brucker, S. Y., Bauer, A., Graf, J., Zipfel, S., Hasemann, L., Wallwiener, M., et al. (2020) · Trials · doi:10.1186/s13063-020-04873-3 · Cited by 33 · see citing works
Designing a tablet-based prematurity education app for parents hospitalized for preterm birth
Rau, N. M., Hasan, K., Ahamed, S. I., Asan, O., Flynn, K. E., & Basir, M. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104200 · Cited by 32 · cited 1× · see citing works
“Other platforms aim to improve preparedness for pre-term birth, labor/ delivery, NICU transition to home, infant care, or parental attachment [22, 23].”
BackgroundNishi, D., Imamura, K., Watanabe, K., Obikane, E., Sasaki, N., Yasuma, N., Sekiya, Y., Matsuyama, Y., & Kawakami, N. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-036482 · Cited by 31 · cited 1× · see citing works
“Given the known prevalence of PMADs, additional screening during the prenatal period is an enhanced window of time to engage in early detection and intervention of psychological distress [10].”
BackgroundGolberstein, E., Kolvenbach, S., Carruthers, H., Druss, B., & Goering, P. (2018) · Healthcare · doi:10.1016/j.hjdsi.2017.01.002 · Cited by 29 · cited 1× · see citing works
“The idea that psychiatric eCon-sultation provides greater empowerment to handle mental health complaints is supported by surveys demonstrating their ability to improve perceived support for diagnosing and managing problems as well as accessing resources [58].”
BackgroundLoughnan, S. A., Newby, J. M., Haskelberg, H., Mahoney, A., Kladnitski, N., Smith, J., Black, E., Holt, C., Milgrom, J., Austin, M.-P., et al. (2018) · Trials · doi:10.1186/s13063-017-2422-5 · Cited by 28 · see citing works
Shorey, S., Ng, Y. P. M., Danbjørg, D. B., Dennis, C., & Morelius, E. (2017) · Journal of Advanced Nursing · doi:10.1111/jan.13151 · Cited by 25 · see citing works
Hensel, J. M., Yang, R., Rai, M., & Taylor, V. H. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8943 · Cited by 24 · cited 2× · see citing works
“…primary care practitioners (PCPs), this decreased utilization might be due to the fact that psychiatric issues are perceived as being more “nuanced” with lack of associated lab values, imaging or objective measurements that can facilitate consultation in the absence of face-to-face evaluation [56].”
BackgroundResultTechnology-Supported Interventions for Pregnant Women: A Systematic Review
Lee, Y., & Cho, S. (2019) · CIN: Computers, Informatics, Nursing · doi:10.1097/cin.0000000000000535 · Cited by 24 · see citing works
Fealy, S., Chan, S., Wynne, O., Dowse, E., Ebert, L., Ho, R., Zhang, M. W. B., & Jones, D. (2019) · Journal of Advanced Nursing · doi:10.1111/jan.13971 · Cited by 20 · see citing works
Herbell, K., & Zauszniewski, J. A. (2019) · Journal of Holistic Nursing · doi:10.1177/0898010118783030 · Cited by 16 · cited 1× · see citing works
“Not only can this provide important biological information about a patient’s wellness, but it also has the potential for use in biofeedback interventions that have been demonstrated to be successful interventions to reduce mental health symptoms in the perinatal period [72–74].”
BackgroundPerinatal Mental Health in Community Psychiatry: A Reproductive Psychiatry eConsult Pilot Project
Dossett, E. C., Benitez, C., & Garcia, N. (2019) · Psychiatric Services · doi:10.1176/appi.ps.201900316 · Cited by 3 · cited 1× · see citing works
“While specific capacity for perinatal psychiatric eConsultation does likely exist at many institutions (including the institution of the present authors), we were only able to find one published description of such [59].”
Background
Flagged first, then by citations
3 of the 74 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Dol J, Richardson B, Murphy GT, Aston M, McMillan D, Campbell-Yeo M. Impact of mobile health interventions during the perinatal period on maternal psychosocial outcomes: a systematic review. JBI Evid Synth. 2020;18(1):30–55. · DOI · Paper page
- Hussain-Shamsy N, Shah A, Vigod SN, Zaheer J, Seto E. Mobile health for perinatal depression and anxiety: scoping review. J Med Internet Res. 2020;22(4): e17011. · DOI · Paper page
Cited by
Sorted by citations
Inkster, B., Kadaba, M., & Subramanian, V. (2023) · Frontiers in Global Women's Health · doi:10.3389/fgwh.2023.1084302 · Cited by 56 · see citing works
“Technology could play a signi fi cant role in addressing barriers to care for maternal mental health (24, 25).”
BackgroundThe Role of Wearables & Technology in Mental Health: Review
Masri, D., Jaber, L., Mashal, R., Albourini, F., Alsaoud, M. A., & Al-Tarawneh, A. M. A. (2024) · International Conference on Cyber Resilience (ICCR) · doi:10.1109/iccr61006.2024.10532880 · Cited by 36 · see citing works
“Despite their potential, concerns regarding cost, accessibility, and the possible long-term psychological effects of VR usage remain pressing areas for consideration [1] [16].”
BackgroundPostpartum Mood Disorders: Insights into Diagnosis, Prevention, and Treatment
Jyotsna, G., Jajoo, S., Aradhya, D., Reddy, L. S., Dahiphale, S. M., & Patel, D. J. (2023) · Cureus · doi:10.7759/cureus.42107 · Cited by 31 · see citing works
“By addressing these challenges, healthcare providers can improve the accuracy of diagnoses and ensure that women receive appropriate support and treatment for postpartum mood disorders [30].”
BackgroundBig data and AI for gender equality in health: bias is a big challenge
Joshi, A. (2024) · Frontiers in Big Data · doi:10.3389/fdata.2024.1436019 · Cited by 19 · see citing works
“A virtual reality system, for instance, can assist a user overcome trauma or fear by exposing them to a simulated delivery situation (Novick et al., 2022).”
BackgroundMeta-Review of Wearable Devices for Healthcare in the Metaverse
Vahdati, M., Laamarti, F., & Saddik, A. E. (2024) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3705320 · Cited by 11 · see citing works
Worku, B. T., Abdulahi, M., Amenu, D., & Bonnechère, B. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-07286-9 · Cited by 17 · see citing works
“It is effective in psychotherapy to improve mood, sleep, and social support [31, 33].”
Zimmermann, M., Peacock‐Chambers, E., Merton, C., Pasciak, K., Thompson, A. B., Mackie, T. I., Clare, C. A., Lemon, S. C., & Byatt, N. (2023) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2023.10.003 · Cited by 10 · see citing works
Digital phenotyping of depression during pregnancy using self-report data
Allen, K., Rodriguez, S. N., Hayani, L., Rothenberger, S. D., Moses‐Kolko, E. L., Simhan, H. N., & Krishnamurti, T. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.08.029 · Cited by 8 · see citing works
Women's Perspectives and Challenges in Adopting Perinatal Mental Health Technologies
Progga, F. T., & Rubya, S. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3701217 · Cited by 12 · see citing works
Turchioe, M. R., Hermann, A. D., & Benda, N. C. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1321265 · Cited by 12 · see citing works
Wang, G., Bennamoun, H., Kwok, W. H., Quimbayo, J. P. O., Kelly, B., Ratajczak, T., Marriott, R., Walker, R., & Kotz, J. (2025) · Journal of Medical Internet Research · doi:10.2196/68030 · Cited by 8 · see citing works
“Over the last decade, advances in digital health and computational technology have driven numerous studies on technology-based approaches to supporting perinatal mental health [13,14].”
Yang, L., Nan, Y., Zhou, J., Sun, J., Huo, L., Liu, F., Wang, D., Rahman, A., & Li, X. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116639 · Cited by 6 · see citing works
Exploring perinatal mental well-being: a concept analysis from conception to one year postpartum
Massaer, M., Franck, E., Haeken, S. V., Bogaerts, A., & Timmermans, O. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-08015-y · Cited by 7 · see citing works
McKellar, L. V., Steen, M., Charlick, S. J., Andrew, J. E., Altieri, B., & Gwilt, I. (2023) · Applied Nursing Research · doi:10.1016/j.apnr.2023.151714 · Cited by 6 · see citing works
Perazzo, S. I., Hoge, M. K., Shaw, R. J., Gillispie-Bell, V., & Soghier, L. M. (2024) · Seminars in Perinatology · doi:10.1016/j.semperi.2024.151906 · Cited by 6 · see citing works
A scoping review of effective health practices for the treatment of birth trauma
Jomeen, J., Guy, F., Marsden, J., Clarke, M., Darby, J., Landry, A., & Jefford, E. (2025) · Midwifery · doi:10.1016/j.midw.2025.104382 · Cited by 5 · see citing works
Benda, N. C., Woode, S., de Rivera, S. N., Kalish, R. B., Riley, L. E., Hermann, A. D., Creber, R. M., Pimentel, E. C., & Ancker, J. S. (2024) · Journal of Medical Internet Research · doi:10.2196/47484 · Cited by 4 · see citing works
“Technology-based approaches for supporting perinatal mental health have been described as uniformly positive but having limited evidence for use [59], suggesting that further exploration is needed in this area, also considering how adding somatic issues may be perceived by patients.”
The use of e-mental health tools in the perinatal context
Fonseca, A., Mancinelli, E., & Branquinho, M. (2024) · BJPsych Advances · doi:10.1192/bja.2024.23 · Cited by 4 · see citing works
Arifin, S. R. B. M., Kamaruddin, A., Muhammad, N. A., Nurumal, M. S., Mohadis, H. M., Hussain, N. H. N., & Wardaningsih, S. (2025) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2025.04.014 · Cited by 2 · see citing works
Current treatment options for perinatal depression
Clark, A. L., D’Andrea, L., & Reminick, A. M. (2026) · Current Opinion in Obstetrics & Gynecology · doi:10.1097/gco.0000000000001086 · Cited by 2 · see citing works
Navigating the Intersection of Technology and Depression Precision Medicine
Irmak-Yazicioglu, M. B., & Arslan, A. (2024) · Advances in experimental medicine and biology · doi:10.1007/978-981-97-4402-2_20 · Cited by 1 · see citing works
Renbarger, K. M., Place, J. M., Hess, C., & Burkhart, L. (2025) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20250304-02 · Cited by 1 · see citing works
Epidemiology, risk factors, and prevention of women’s mental health during the perinatal period
Endalifer, B. L., Kassa, M. T., Ejigu, Y. W., & Ambaye, A. S. (2025) · Global Reproductive Health · doi:10.1097/grh.0000000000000111 · Cited by 2 · see citing works
Obilor, H. N., Oluwole, O., Ross‐White, A., & Premji, S. (2026) · Midwifery · doi:10.1016/j.midw.2026.104818 · Cited by 1 · see citing works
RETRACTED: From Detection to Recovery: The Promise of AI in Managing Postpartum Depression in India
Shah, P., & Yadav, K. (2024) · E3S Web of Conferences · doi:10.1051/e3sconf/202455601047 · Cited by 1 · see citing works
RetractedDigital Dialogs on Rhesus Incompatibility: A Thematic Analysis of Web-Based Parental Narratives
Çeri, A., & Gültekin, N. D. (2025) · Transfusion Medicine and Hemotherapy · doi:10.1159/000547554 · Cited by 1 · see citing works
“These materials should be accessible at a 6th-grade reading level and embedded into prenatal electronic health records and mobile pregnancy apps [27, 37].”
Technology, intimacy and motherhood
Ferrarello, S. (2024) · New Techno Humanities · doi:10.1016/j.techum.2024.05.001
Wang, G., Bennamoun, H., Kwok, W. H., Quimbayo, J. P. O., Kelly, B., Ratajczak, T., Marriott, R., Walker, R., & Kotz, J. (2024) · Research Square · doi:10.21203/rs.3.rs-4687233/v1
Development of Mental Health Screening Applications During the Perinatal Period
Sari, D. N., Mulyati, S., & Karningsih, K. (2024) · International conference on social science and technology · doi:10.46799/incosst.v2i1.22
“Previous studies have stated that the use of digital technology can improve the quality and quantity of mental health services, such as mobile or web application platforms and expert systems; (Clarke et al., 2024); (Novick et al., 2022); (Spadaro et al., 2022).”
Hozhabrafkan, K., Gooding, P. A., Wittkowski, A., Hyder, S., & Peters, S. (2026) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-026-00571-9 · Cited by 1 · see citing works
“A recent systematic review was particularly germane in the context of the rapid expansion of, and interest in, the development of digital health technologies to support peri-natal mental health care (Novick et al., 2022 ; Singla et al., 2022 ).”
Perinatal Mental Health Detection and Prediction Using Mobile Sensing Data: Systematic Review
Sun, Y., Che, K., Lantta, T., Axelin, A., Azimi, I., & Liljeberg, P. (2026) · JMIR Mental Health · doi:10.2196/101677
“One previous review by Novick et al [14] surveyed technology-based approaches for supporting perinatal mental health, providing a broad overview of available technologies, their applications to perinatal mood and anxiety disorders, and the supporting evidence.”
Altun, A., Reupert, A., Oxlad, M., Hine, R. H., D’Souza, L., Kadwadkar, M., & Boyle, J. A. (2026) · Archives of Public Health · doi:10.1186/s13690-026-01989-x
“The intersecting identities and relationships between participants and researchers played a meaningful role in shaping this project [28].”
Lucca, E. R.-D., Heavey, K., & Murnane, E. L. (2026) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2026.101111
Yu, D., Bailey, J., Chew-Graham, C. A., Smith, H. C., Archer, C., Evans, J., Fisher, T., Kessler, D., Kingstone, T., Petersen, I., et al. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-100543
“These efforts will contribute to a more comprehensive understanding and management of women with PNA, ultimately benefiting both mothers and their children.”
- Authors
- Novick, A. M., Kwitowski, M., Dempsey, J., Cooke, D. L., & Dempsey, A. G.
- Affiliations
- University of Colorado Anschutz (US)
- Corresponding author
- Dempsey, Allison G.
- Venue
- Current Psychiatry Reports
- Published
- 2022-07-23
- Volume
- 24
- Issue
- 9
- Pages
- 419-429
- ISSN
- 1523-3812 (ISSN-L)
- 1535-1645
- PMC
- PMC9307714
- OpenAlex
- W4286685037
- Cited by
- 35
- References
- 74
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 13 · 2023: 4
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Psychiatry Reports (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- perinatal mood and anxiety disorders, digital mental health interventions, wearable devices, e-consultation, virtual reality, augmented reality, internet-based cognitive behavioral therapy, machine learning prediction, patient acceptance of technology
- MeSH terms
- Anxiety Disorders, Female, Humans, Mental Health, Pregnancy, Technology, Cognitive Behavioral Therapy, Mood Disorders
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
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