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A mobile phone application for the assessment and management of youth mental health problems in primary care: a randomised controlled trial
Open accessAbstract
BACKGROUND: Over 75% of mental health problems begin in adolescence and primary care has been identified as the target setting for mental health intervention by the World Health Organisation. The mobiletype program is a mental health assessment and management mobile phone application which monitors mood, stress, coping strategies, activities, eating, sleeping, exercise patterns, and alcohol and cannabis use at least daily, and transmits this information to general practitioners (GPs) via a secure website in summary format for medical review. METHODS: We conducted a randomised controlled trial in primary care to examine the mental health benefits of the mobiletype program. Patients aged 14 to 24 years were recruited from rural and metropolitan general practices. GPs identified and referred eligible participants (those with mild or more mental health concerns) who were randomly assigned to either the intervention group (where mood, stress, and daily activities were monitored) or the attention comparison group (where only daily activities were monitored). Both groups self-monitored for 2 to 4 weeks and reviewed the monitoring data with their GP. GPs, participants, and researchers were blind to group allocation at randomisation. Participants completed pre-, post-, and 6-week post-test measures of the Depression, Anxiety, Stress Scale and an Emotional Self Awareness (ESA) Scale. RESULTS: Of the 163 participants assessed for eligibility, 118 were randomised and 114 participants were included in analyses (intervention group n = 68, comparison group n = 46). Mixed model analyses revealed a significant group by time interaction on ESA with a medium size of effect suggesting that the mobiletype program significantly increases ESA compared to an attention comparison. There was no significant group by time interaction for depression, anxiety, or stress, but a medium to large significant main effect for time for each of these mental health measures. Post-hoc analyses suggested that participation in the RCT lead to enhanced GP mental health care at pre-test and improved mental health outcomes. CONCLUSIONS: Monitoring mental health symptoms appears to increase ESA and implementing a mental health program in primary care and providing frequent reminders, clinical resources, and support to GPs substantially improved mental health outcomes for the sample as a whole. TRIAL REGISTRATION: ClinicalTrials.gov NCT00794222.
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“The effect size for depression was moderate though smaller than the four published studies [23-26] that describe three other mobile app interventions targeting depression.”
From Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial (2017) · cites this paper as [24]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“an EMI using self-monitoring on mobile phones 38 was not effective relative to an attention control in reducing stress ( d = −0.08 at post-test).”
From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [38]
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“In the present research, the study conducted by Reid et al.38 was the only study evaluating an interactive EMI using mobile phones which failed to yield significant effects in reducing stress relative to an attention control.”
From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [38]
In the citing paper
“Trials of mobile BITs have found some positive short-term benefits for anxiety disorders (39), eating disorders (40), bipolar disorder (41), and schizophrenia (42), although others have not been effective at treating depression (43).”
From Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health (2013) · cites this paper as [43]
In the citing paper
“and that mobile self-monitoring is a useful tool [41-43].”
From Do online mental health services improve help-seeking for young people? A systematic review (2014) · cites this paper as [43]
In the citing paper
“Kauer et al [53] and Reid et al [54] found no differences in the Depression, Anxiety, and Stress Scale scores between a mobile app with ecological momentary assessment (EMA)-based emotional self-awareness training and feedback and an attention control condition.”
From MoodHacker Mobile Web App With Email for Adults to Self-Manage Mild-to-Moderate Depression: Randomized Controlled Trial (2016) · cites this paper as [54]
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Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391
WARE, J. E., KOSINSKI, M., & KELLER, S. D. (1996) · Medical Care · doi:10.1097/00005650-199603000-00003 · Cited by 17,392
Lovibond, P. F., & Lovibond, S. H. (1995) · Behaviour Research and Therapy · doi:10.1016/0005-7967(94)00075-u · Cited by 14,523
SAUNDERS, J. B., AASLAND, O. G., BABOR, T. F., DE LA FUENTE, J. R., & GRANT, M. (1993) · Addiction · doi:10.1111/j.1360-0443.1993.tb02093.x · Cited by 13,597 · cited 2×
“Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M: Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption–II.”
MethodBeyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium
Hayes, A. F. (2009) · Communication Monographs · doi:10.1080/03637750903310360 · Cited by 9,757
Cohen, J. (1992) · Psychological Bulletin · doi:10.1037//0033-2909.112.1.155 · Cited by 8,771
Required sample size to detect the mediated effect
Fritz, M. S., & MacKinnon, D. P. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01882.x · Cited by 4,810
The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration
Altman, D. G., Schulz, K. F., Moher, D., Egger, M., Davidoff, F., Elbourne, D., Gøtzsche, P. C., Lang, T., & for the CONSORT Group (2001) · Annals of Internal Medicine · doi:10.7326/0003-4819-134-8-200104170-00012 · Cited by 3,835
Research works printed but not linked: 3
- Kauer S, Reid S, Jackson H, Jorm T: The phenomenon of insight and preliminary findings for preventing depression: self-monitoring via mobile phones. 'ASPR Poster Presentations' Australian and New Zealand Journal of Psychiatry. 2007, 41: A496-
- Reid S, Kauer S, Sanci L, Patton G: Please turn your mobiles on in our clinic: a mobile phone mental health monitoring program and website interface for detection and management of adolescent mental health in clinical settings. 'ASPR Poster Presentations' Australian and New Zealand Journal of Psychiatry. 2007, 41: A499-
- Fritz MS, MacKinnon DP: Required sample sizr to detect the mediated effect. Psychological Science. 2007, 18 (3): 233-239. 10.1111/j.1467-9280.2007.01882.x. · DOI · Paper page
Cited by
Sorted by citations
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730
Smartphones for smarter delivery of mental health programs: A systematic review
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2791 · Cited by 1,136
“Three studies [11,23,25] had a high risk of other sources of bias (eg, absence of a control group, possible treatment infidelity) while for 5 studies [19-22,24] the risk of bias from other sources was unclear (due to significant difference at baseline for stress outcome, unequal number of participants in intervention…”
BackgroundMethodResultInfluentialFirth, J., Torous, J., Nicholas, J., Carney, R., Rosenbaum, S., & Sarris, J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.04.046 · Cited by 675
Fulmer, R., Joerin, A., Gentile, B., Lakerink, L., & Rauws, M. (2018) · doi:10.2196/preprints.9782 · Cited by 715
Mohr, D. C., Burns, M. N., Schueller, S. M., Clarke, G., & Klinkman, M. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.03.008 · Cited by 693
“others have not been effective at treating depression [43].”
Mapping mHealth research: a decade of evolution
Fiordelli, M., Diviani, N., & Schulz, P. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2430 · Cited by 570
Mental Health Mobile Apps for Preadolescents and Adolescents: A Systematic Review.
Grist, R., Porter, J., & Stallard, P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7332 · Cited by 518
Kauer, S. D., Reid, S. C., Crooke, A. H. D., Khor, A., Hearps, S. J. C., Jorm, A. F., Sanci, L., & Patton, G. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1858 · Cited by 404
Self-citationSmartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients
Grunerbl, A., Muaremi, A., Osmani, V., Bahle, G., Ohler, S., Troster, G., Mayora, O., Haring, C., & Lukowicz, P. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2343154 · Cited by 384
CBT for depression: a pilot RCT comparing mobile phone vs. computer
Watts, S., Mackenzie, A., Thomas, C., Griskaitis, A., Mewton, L., Williams, A., & Andrews, G. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-49 · Cited by 329
Do online mental health services improve help-seeking for young people? A systematic review
Kauer, S. D., Mangan, C., & Sanci, L. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3103 · Cited by 339
Self-citationA Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression
Huguet, A., Rao, S., McGrath, P. J., Wozney, L., Wheaton, M., Conrod, J., & Rozario, S. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154248 · Cited by 328
Hetrick, S. E., Cox, G., Witt, K., Bir, J. J., & Merry, S. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003380.pub4 · Cited by 336
Proudfoot, J., Clarke, J., Birch, M.-R., Whitton, A. E., Parker, G., Manicavasagar, V., Harrison, V., Christensen, H., & Hadzi-Pavlovic, D. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-312 · Cited by 264
Smartphone interventions for long-term health management of chronic diseases: an integrative review
Wang, J., Wang, Y., Wei, C., Yao, N. (., Yuan, A., Shan, Y., & Yuan, C. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2013.0243 · Cited by 215
Mantani, A., Kato, T., Furukawa, T. A., Horikoshi, M., Imai, H., Hiroe, T., Chino, B., Funayama, T., Yonemoto, N., Zhou, Q., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8602 · Cited by 192
Using technology to deliver mental health services to children and youth: a scoping review.
Boydell, K., Hodgins, M., Pignatiello, A., Teshima, J., Edwards, H. E., & Willis, D. (2014) · Europe PMC (PubMed Central) · Cited by 197
A multifactor Lesbian, Gay, and Bisexual Positive Identity Measure (LGB-PIM).
Riggle, E. D. B., Mohr, J. J., Rostosky, S. S., Fingerhut, A. W., & Balsam, K. F. (2014) · Psychology of Sexual Orientation and Gender Diversity · doi:10.1037/sgd0000057 · Cited by 193
Birney, A. J., Gunn, R., Russell, J. K., & Ary, D. V. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4231 · Cited by 159
“Kauer et al [53] and Reid et al [54] found no differences in the Depression, Anxiety, and Stress Scale scores between a mobile app with ecological momentary assessment (EMA)-based emotional self-awareness training and feedback and an attention control condition.”
Ye, X.-B., Bapuji, S., Winters, S. E., Struthers, A., Raynard, M., Metge, C., Kreindler, S. A., Charette, C., Lemaire, J., Synyshyn, M., et al. (2014) · BMC Health Services Research · doi:10.1186/1472-6963-14-313 · Cited by 128
Välimäki, M., Anttila, K., Anttila, M., & Lahti, M. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.8624 · Cited by 110
“…et al 2016 [54], Published study protocol not available N/AaData availableN/AaN/AaStress scale (DASS) Anxiety scale (DASS) Depression scale (DASS) Reid et al 2011 [55], NCT00794222 N/AaData availableN/AaN/AaN/AaN/AaCDRS-Rb Hamilton Depression Rating Scaleb Rickhi et al 2015 [56], Published…”
BackgroundMethodInfluentialA systematic review of mental health outcome measures for young people aged 12 to 25 years
Kwan, B., & Rickwood, D. (2015) · BMC Psychiatry · doi:10.1186/s12888-015-0664-x · Cited by 127
Dubad, M., Winsper, C., Meyer, C., Livanou, M., & Marwaha, S. (2017) · Psychological Medicine · doi:10.1017/s0033291717001659 · Cited by 129
Youth Mental Health Interventions via Mobile Phones: A Scoping Review
Seko, Y., Kidd, S. A., Wiljer, D., & McKenzie, K. J. (2014) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2014.0078 · Cited by 117
Development and Trial of a Mobile Experience Sampling Method (m-ESM) for Personal Music Listening
Randall, W. M., & Rickard, N. S. (2012) · Music Perception An Interdisciplinary Journal · doi:10.1525/mp.2013.31.2.157 · Cited by 115
Yang, Q., & Van Stee, S. K. (2019) · JMIR mHealth and uHealth · doi:10.2196/11244 · Cited by 113
A Review of Technology-Based Youth and Family-Focused Interventions
MacDonell, K. W., & Prinz, R. J. (2016) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-016-0218-x · Cited by 113
Sequeira, L., Perrotta, S., LaGrassa, J., Merikangas, K. R., Kreindler, D. M., Kundur, D., Courtney, D., Szatmári, P., Battaglia, M., & Strauss, J. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.156 · Cited by 113
Loo Gee, B., Griffiths, K. M., & Gulliver, A. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv043 · Cited by 92
Tindall, L., Mikocka‐Walus, A. A., McMillan, D., Wright, B., Hewitt, C. E., & Gascoyne, S. (2017) · Psychology and Psychotherapy Theory Research and Practice · doi:10.1111/papt.12121 · Cited by 114
Leech, T., Dorstyn, D., Taylor, A., & Li, W. (2021) · Children and Youth Services Review · doi:10.1016/j.childyouth.2021.106073 · Cited by 100
Use of mobile apps and technologies in child and adolescent mental health: a systematic review
Punukollu, M., & Marques, M. (2019) · Evidence-Based Mental Health · doi:10.1136/ebmental-2019-300093 · Cited by 86
Web-Based Interventions for Youth Internalizing Problems: A Systematic Review
Reyes-Portillo, J. A., Mufson, L., Greenhill, L. L., Gould, M. S., Fisher, P. W., Tarlow, N., & Rynn, M. A. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2014.09.005 · Cited by 88
Computer-based and online therapy for depression and anxiety in children and adolescents
Stasiak, K., Fleming, T., Lucassen, M. F. G., Shepherd, M. J., Whittaker, R., & Merry, S. N. (2016) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2015.0029 · Cited by 87
“Multimedia mobile phone programs and smart phone apps show promise for early intervention and monitoring (Reid et al. 2011; Kauer et al. 2012; Whittaker et al. 2012).”
Terhorst, Y., Rathner, E.-M., Baumeister, H., & Sander, L. (2018) · Verhaltenstherapie · doi:10.1159/000481692 · Cited by 84
Ralston, A. L., Andrews, A. R., & Hope, D. A. (2019) · Clinical Psychology: Science and Practice · doi:10.1111/cpsp.12277 · Cited by 76
Khor, A. S., Melvin, G. A., Reid, S., & Gray, K. M. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1912-x · Cited by 84
Self-citationRichardson, L. P., McCarty, C. A., Radović, A., & Suleiman, A. B. (2017) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2016.11.013 · Cited by 80
Reid, S. C., Kauer, S. D., Hearps, S. J. C., Crooke, A. H. D., Khor, A. S., Sanci, L. A., & Patton, G. C. (2013) · BMC Family Practice · doi:10.1186/1471-2296-14-84 · Cited by 73
Self-citationBabajide, A., Ortin‐Peralta, A., Wei, C., Mufson, L. H., & Duarte, C. S. (2019) · The Journal of Behavioral Health Services & Research · doi:10.1007/s11414-019-09670-8 · Cited by 78
Telepsychiatry and Health Technologies: A Guide for Mental Health Professionals
(2018) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615378906 · Cited by 63
Khor, A. S., Gray, K. M., Reid, S., & Melvin, G. A. (2013) · Journal of Adolescence · doi:10.1016/j.adolescence.2013.10.005 · Cited by 56
Self-citationReview of Mobile Health Technology for Military Mental Health
Shore, J. H., Aldag, M., McVeigh, F. L., Hoover, R. L., Ciulla, R., & Fisher, A. (2014) · Military Medicine · doi:10.7205/milmed-d-13-00429 · Cited by 54
Bear, H. A., Ayala‐Nunes, L., DeJesus, J., Liverpool, S., Moltrecht, B., Neelakantan, L., Harriss, E., Watkins, E. R., & Fazel, M. S. (2022) · Journal of Medical Internet Research · doi:10.2196/40347 · Cited by 59
Beames, J. R., Kikas, K., & Werner‐Seidler, A. (2021) · BMC Psychology · doi:10.1186/s40359-021-00614-6 · Cited by 50
Real-Time Monitoring of Non-linear Suicidal Dynamics: Methodology and a Demonstrative Case Report
Fartacek, C., Schiepek, G. K., Kunrath, S., Fartacek, R. R., & Plöderl, M. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00130 · Cited by 54
Measuring Psychiatric Symptoms Remotely: a Systematic Review of Remote Measurement-Based Care
Goldberg, S. B., Buck, B., Raphaely, S., & Fortney, J. C. (2018) · Current Psychiatry Reports · doi:10.1007/s11920-018-0958-z · Cited by 51
Ford, E. A., Roman, S. D., McLaughlin, E. A., Beckett, E., & Sutherland, J. M. (2020) · BMC Women s Health · doi:10.1186/s12905-020-00912-y · Cited by 50
Conley, C. S., Raposa, E. B., Bartolotta, K., Broner, S. E., Hareli, M., Forbes, N., Christensen, K. M., & Assink, M. (2022) · JMIR Mental Health · doi:10.2196/34254 · Cited by 53
Williams, J., & Pykett, J. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114802 · Cited by 55
Sequeira, L., Battaglia, M., Perrotta, S., Merikangas, K. R., & Strauss, J. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2019.04.011 · Cited by 46
Systematic review and meta-analysis of adverse events in clinical trials of mental health apps
Linardon, J., Fuller-Tyszkiewicz, M., Firth, J., Goldberg, S. B., Anderson, C., McClure, Z., & Torous, J. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01388-y · Cited by 44
Litvin, S., Saunders, R., Jefferies, P., Seely, H., Pössel, P., & Lüttke, S. (2023) · JMIR Mental Health · doi:10.2196/47285 · Cited by 43
Wilansky, P., Eklund, J., Milner, T., Kreindler, D. M., Cheung, A., Kovacs, T., Shooshtari, S., Astell, A. J., Ohinmaa, A. E., Henderson, J. L., et al. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5841 · Cited by 42
Drydakis, N. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106661 · Cited by 46
Walsh, S., Golden, E., & Priebe, S. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-008362 · Cited by 42
Haberer, J. E., Trabin, T., & Klinkman, M. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.03.009 · Cited by 39
Prevalence and risk factors of anxiety status among students aged 13-26 years.
(2014) · Europe PMC (PubMed Central) · Cited by 39
Kenny, R., Fitzgerald, A., Segurado, R., & Dooley, B. A. (2019) · Health Informatics Journal · doi:10.1177/1460458219884195 · Cited by 38
Hip-Hop and Spoken Word Therapy in Urban School Counseling
Levy, I. (2019) · Professional School Counseling · doi:10.1177/2156759x19834436 · Cited by 37
Crooke, A. H. D., Reid, S., Kauer, S. D., McKenzie, D. P., Hearps, S. J. C., Khor, A. S., & Forbes, A. B. (2013) · Drug and Alcohol Review · doi:10.1111/dar.12034 · Cited by 35
Self-citationCampos, R. C., de Larrinoa, A. A. F., Moríñigo, A., Parraza, N., & Barandiarán, F. A. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw300 · Cited by 35
A systematic scoping review of adolescent mental health treatment using mobile apps
Gindidis, S., Stewart, S., & Roodenburg, J. (2018) · Advances in Mental Health · doi:10.1080/18387357.2018.1523680 · Cited by 35
Supporting Caregivers of Children With Acute Lymphoblastic Leukemia via a Smartphone App
Wang, J., Yao, N. A., Shen, M., Zhang, X., Wang, Y., Liu, Y., Geng, Z., & Yuan, C. (2016) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000265 · Cited by 34
Exploring the features of an app-based just-in-time intervention for depression
Everitt, N., Broadbent, J., Richardson, B., Smyth, J. M., Heron, K. E., Teague, S. J., & Fuller‐Tyszkiewicz, M. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.05.021 · Cited by 37
Karcher, N. R., & Presser, N. R. (2016) · Ethics & Behavior · doi:10.1080/10508422.2016.1229187 · Cited by 32
Affective State Prediction from Smartphone Touch and Sensor Data in the Wild
Wampfler, R., Klingler, S., Solenthaler, B., Schinazi, V. R., Groß, M. H., & Holz, C. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501835 · Cited by 33
Neal-Barnett, A. M., Stadulis, R. E., Ellzey, D., Jean, E., Rowell, T., Somerville, K., Petitti, K., Siglow, B., Ruttan, A., & Hogue, M. (2019) · JMIR mhealth and uhealth · doi:10.2196/11310 · Cited by 30
Kahl, B. L., Miller, H. M., Cairns, K., Giniunas, H., & Nicholas, M. (2020) · JMIR Mental Health · doi:10.2196/21280 · Cited by 31
Babbage, C. M., Jackson, G. M., Davies, E. B., & Nixon, E. (2022) · JMIR Mental Health · doi:10.2196/25716 · Cited by 36
Kim, K. K., Logan, H. C., Young, E., & Sabee, C. M. (2014) · Personal and Ubiquitous Computing · doi:10.1007/s00779-014-0808-x · Cited by 31
Exploring Indicators of Digital Self-Harm with Eating Disorder Patients
Pater, J. A., Farrington, B., Brown, A., Reining, L., Toscos, T. R., & Mynatt, E. D. (2019) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3359186 · Cited by 40
Buttazzoni, A. N., Brar, K., & Minaker, L. M. (2020) · Journal of Medical Internet Research · doi:10.2196/16490 · Cited by 34
Mobile Health Interventions for Psychiatric Conditions in Children
Archangeli, C., Marti, F., Pasiah, E., & Zima, B. T. (2016) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2016.07.009 · Cited by 30
White, K. M., Williamson, C., Bergou, N., Oetzmann, C., de Angel, V., Matcham, F., Henderson, C., & Hotopf, M. H. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00624-7 · Cited by 31
O’Connor, S. (2019) · International Journal of Older People Nursing · doi:10.1111/opn.12288 · Cited by 28
RetractedToh, S. H. Y., Tan, J. H. Y., Kosasih, F. R., & Sündermann, O. (2022) · JMIR Formative Research · doi:10.2196/40723 · Cited by 25
Developing culturally-adapted mobile mental health interventions: a mixed methods approach
Willis, H. A., & Neblett, E. W. (2023) · mHealth · doi:10.21037/mhealth-22-19 · Cited by 27
Furber, G., Jones, G. M., Healey, D. F., & Bidargaddi, N. P. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3096 · Cited by 29
Dubad, M., Elahi, F., & Marwaha, S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.687270 · Cited by 25
Stewart, E. M., Milton, A. C., Yee, H. F., Song, M. J., Roberts, A., Davenport, T. A., & Hickie, I. B. (2021) · Journal of Medical Internet Research · doi:10.2196/26015 · Cited by 25
Kajitani, K., Higashijima, I., Kaneko, K., Matsushita, T., Fukumori, H., & Kim, D. (2020) · PLOS ONE · doi:10.1371/journal.pone.0239592 · Cited by 22
“The authors found no significant differences in depression, anxiety, or stress scores between an intervention and control group, although the use of the mobile phone program was significantly associated with an increase in the emotional self-awareness (ESA) score [40].”
Screening for Depression in Pediatric Primary Care
Forman‐Hoffman, V. L., & Viswanathan, M. (2018) · Current Psychiatry Reports · doi:10.1007/s11920-018-0926-7 · Cited by 22
Personalization in Digital Psychological Interventions for Young Adults
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Christopoulou, S., Kotsilieris, T., & Anagnostopoulos, I. (2018) · Healthcare · doi:10.3390/healthcare6030109 · Cited by 20
Collaborative and integrated care for adolescent depression
Kodish, I., Richardson, L., & Schlesinger, A. (2019) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2019.02.003 · Cited by 19
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Ikwunne, T. A., Hederman, L., & Wall, P. J. (2022) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2022.0130235 · Cited by 20
Magwood, O., Saad, A., Ranger, D., Volpini, K., Rukikamirera, F., Haridas, R., Sayfi, S., Alexander, J., Tan, Y., & Pottie, K. (2024) · Campbell Systematic Reviews: Better Evidence for a Better World · doi:10.1002/cl2.1398 · Cited by 18
Proportionate methods for evaluating a simple digital mental health tool
Davies, E. B., Craven, M. P., Martin, J. L., & Simons, L. (2017) · Evidence Based Mental Health · doi:10.1136/eb-2017-102755 · Cited by 15
Anti Depression And Anti Suicidal Application
Mustafa, S. M. N., Zaki, H., Alam, S., Khan, M. S., & Zafar, H. (2020) · International Conference on Information Science and Communication Technology (ICISCT) · doi:10.1109/icisct49550.2020.9079936 · Cited by 15
Enabling prescription-based health apps
Osmani, V., Forti, S., Mayora, O., & Conforti, D. (2017) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3154862.3154911 · Cited by 15
Parker, B., Achilles, M. R., Subotic-Kerry, M., & O’Dea, B. (2020) · BMC Family Practice · doi:10.1186/s12875-019-1071-z · Cited by 18
Montague, A. E., Varcin, K. J., & Parker, A. G. (2014) · Victoria University Research Repository (Victoria University) · Cited by 14
MacLean, S. E., & Hatcher, S. (2019) · Frontiers in Communication · doi:10.3389/fcomm.2019.00052 · Cited by 27
Mobile Applications for stress management
Anagnostou, M., & Drigas, A. S. (2022) · Scientific Electronic Archives · doi:10.36560/15220221507 · Cited by 12
Sands, N., Elsom, S., Keppich‐Arnold, S., Henderson, K., & Thomas, P. (2016) · International Journal of Mental Health Nursing · doi:10.1111/inm.12177 · Cited by 12
McKay, J. R., Gustafson, D. H., Ivey, M. A., Mctavish, F. M., Pe‐Romashko, K., Curtis, B. L., OSLIN, D., Polsky, D. E., Quanbeck, A., & Lynch, K. G. (2018) · Trials · doi:10.1186/s13063-018-2466-1 · Cited by 12
Metadata
- Authors
- Reid, S. C., Kauer, S. D., Hearps, S. J., Crooke, A. H., Khor, A. S., Sanci, L. A., & Patton, G. C.
- Affiliations
- The University of Melbourne (AU)
- Royal Children's Hospital (AU)
- Corresponding author
- Reid, Sophie C
- Venue
- BMC Family Practice
- Published
- 2011-11-29
- Volume
- 12
- Issue
- 1
- Pages
- 131-131
- ISSN
- 1471-2296 (ISSN-L)
- PMC
- PMC3247177
- OpenAlex
- W2154306466
- Cited by
- 192
- References
- 63
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 8 · 2023: 3 · 2022: 22 · 2021: 17 · 2020: 14 · 2019: 17 · 2018: 26 · 2017: 18 · 2016: 14 · 2015: 9 · 2014: 13 · 2013: 13 · 2012: 3
- FWCI
- 12.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Family Practice (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Telstra Foundation
- Australian Rotary Health
- State Government of Victoria
- Shepherd Foundation
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- mobile application, youth mental health, adolescent mental health, primary care, self-monitoring, mood tracking, stress, coping strategies, emotional self-awareness, depression, anxiety, general practitioners, general practitioner referral, mobile health intervention
- MeSH terms
- Adolescent, Mental Disorders, Female, Humans, Male, Primary Health Care, Single-Blind Method, Cell Phone, Young Adult
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