Dropout from Internet‐based treatment for psychological disorders
Open accessAbstract
Purpose. The purpose of this review was to present an in‐depth analysis of literature identifying the extent of dropout from Internet‐based treatment programmes for psychological disorders, and literature exploring the variables associated with dropout from such programmes. Methods. A comprehensive literature search was conducted on PSYCHINFO and PUBMED with the keywords: dropouts, drop out, dropout, dropping out, attrition, premature termination, termination, non‐compliance, treatment, intervention, and program, each in combination with the key words Internet and web. A total of 19 studies published between 1990 and April 2009 and focusing on dropout from Internet‐based treatment programmes involving minimal therapist contact were identified and included in the review. Results. Dropout ranged from 2 to 83% and a weighted average of 31% of the participants dropped out of treatment. A range of variables have been examined for their association with dropout from Internet‐based treatment programmes for psychological disorders. Despite the numerous variables explored, evidence on any specific variables that may make an individual more likely to drop out of Internet‐based treatment is currently limited. Conclusions. This review highlights the need for more rigorous and theoretically guided research exploring the variables associated with dropping out of Internet‐based treatment for psychological disorders.
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The observed study dropout rate of 20% is above average compared to reported treatment dropout rates from efficacy studies among children and adolescents in an outpatient mental health care setting and from internet-based interventions for mental disorders in AYA.
“We observed a study dropout rate of 20%. In comparison to reported treatment dropout rates from efficacy studies among children and adolescents in an outpatient mental health care setting [63] as well as to these reported from internet-based interventions for mental disorders in AYA [64, 65], this rate is above average.”
From Feasibility and potential efficacy of a guided internet- and mobile-based CBT for adolescents and young adults with chronic medical conditions and comorbid depression or anxiety symptoms (youthCOACHCD): a randomized controlled pilot trial (2022) · cites this paper as [64]
The Extent of Dropout section reports a weighted average treatment dropout rate of 35% and a median of 24%, both above the citing study’s 20%, rather than below it. The Data Selection section also says the review was restricted to adults, so it does not establish an average for adolescents and young adults (AYA). (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe dropout rate in this study was higher than in a previous study using NO-FEAR Airlines, but closer to dropout rates traditionally proposed in the literature and similar to previous studies with phobic patients.
“This was a higher rate than the previous study using NO-FEAR Airlines (Campos et al., 2019), but closer to dropout rates traditionally proposed in the literature, where an average dropout rate of 31% has been reported (Melville et al., 2010), and similar to previous studies carried out with phobic patients, which report a 40.8% dropout rate (Kok et al., 2014).”
From An internet-based treatment for flying phobia using 360° images: A feasibility pilot study (2022) · cites this paper as Melville et al., 2010
The Melville et al. citation is attached to the reported average dropout rate of 31%. In “Extent of Dropout from Internet-based Psychological Treatment Programs” and “Summary and Limitations to Current Research” (pages not provided), the review instead reports an average of 35%; the comparisons attributed to the other cited studies are not at issue here. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe adherence rate was comparable to another self-guided study using a 9-module, 2-week online program (75%) and on the higher end of other guided internet-based treatment programs (average 31%, range 2%-83%).
“This was comparable to another self-guided study using a 9-module, 2-week online program (75%; [27]) with similar financial incentives for the participants to take part, and on the higher end of other guided internet-based treatment programs (average adherence rates of 31%, range of 2%-83%) [37].”
From Development and feasibility of a digital acceptance and commitment therapy⇓based intervention for generalized anxiety disorder: Pilot acceptability study (2021) · cites this paper as [37]
The cited review’s “Extent of Dropout” section reports a 2%–83% range and a 35% weighted average for dropout, not adherence. It reviews programs with minimal therapist contact, so it does not establish the stated 31% average adherence rate for guided programs. No page number is available in our copy. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredMelville and colleagues reported an average drop-out rate of 31% in a systematic review.
“For instance, Melville and colleagues reported an average drop-out rate of 31% in a systematic review.50”
From Clinical and cost-effectiveness of a guided internet-based Acceptance and Commitment Therapy to improve chronic pain-related disability in green professions (PACT-A): Study protocol of a pragmatic randomised controlled trial (2020) · cites this paper as [50]
The Abstract and the ‘Extent of Dropout’ section report an average dropout rate of 35%, not 31%. The latter specifies that 35% is the weighted average across the studies reviewed. (LLM, conf=0.94)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredTo avoid a loss of power, the sample size was increased for this study, taking into account an average drop-out rate of 31%.
“To avoid a loss of power, the sample size was increased for this study, taking into account an average drop-out rate of 31%.50”
From Clinical and cost-effectiveness of a guided internet-based Acceptance and Commitment Therapy to improve chronic pain-related disability in green professions (PACT-A): Study protocol of a pragmatic randomised controlled trial (2020) · cites this paper as [50]
The review’s Extent of Dropout section reports a weighted average dropout rate of 35%, not 31%; its Summary and Limitations section also gives 35% as the average. The sentence’s decision to increase its own sample size is not a finding attributed to this source. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Early studies of unguided ICBT suffered from high dropout rates (weighted average 31% in 19 studies).
“early studies of unguided ICBT suffered from high drop out rates (a weighted average of 31% of the participants dropped out of treatment in 19 studies of Internetbased treatment pro grams for psychological disorders) 75”
From Internet-delivered psychological treatments: from innovation to implementation (2019) · cites this paper as [75]
The ‘Extent of Dropout from Internet-based Psychological Treatment Programs’ section reports substantial dropout, but its weighted average is 35% across 16 studies, not 31% across 19. It describes programs with minimal therapist contact, which does not establish that all were unguided. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe drop-out rates observed in the present study are in line with those reported previously for online studies.
“Nevertheless, the drop-out rates we observed are in line with those reported previously for online studies.”
From Reducing Test Anxiety During the COVID-19 Pandemic: A Comparison of the Effectiveness of Cognitive Behavioral Therapy and Acceptance and Commitment Therapy (2024) · cites this paper as Melville et al., 2010
The 'Extent of Dropout from Internet-based Psychological Treatment Programs' section reports prior dropout rates of 2%–83% across 16 studies, providing a comparison point for online psychological treatments. The cited paper does not report the citing study’s observed rates, so our copy cannot establish whether those rates are in line with its findings. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIn an assessment of 56 online intervention studies, drop-out rates were as much as 83% but averaged 35%.
“Melville et al. (2010), for example, reported that drop-out rates in an assesment of 56 online intervention studies were as much as 83% but had an average of 35%.”
From Reducing Test Anxiety During the COVID-19 Pandemic: A Comparison of the Effectiveness of Cognitive Behavioral Therapy and Acceptance and Commitment Therapy (2024) · cites this paper as Melville et al., 2010
The 'Extent of Dropout' section (page not provided) reports rates up to 83% and a weighted average of 35%. It identifies 16 studies, not the 56 stated in the citing sentence. (LLM, conf=0.90)
Experimental — accuracy not yet measuredApproximately 41% of participants completed the study and the final sample completed 70% of the intervention on average, which is higher than seen in most of the literature.
“This study found that approximately 41% of participants completed the study and that, on average, the final sample completed 70% of the intervention, which is higher than seen in most of the literature [48-50].”
From A Cognitive Behavioral Therapy Chatbot (Otis) for Health Anxiety Management: Mixed Methods Pilot Study (2022) · cites this paper as [49]
The ‘Extent of Dropout’ section reports a weighted average dropout rate of 35% across 16 internet-based treatment studies, providing a literature benchmark. It does not report the average proportion of an intervention completed or establish that 70% exceeds what most studies found. The citing sentence presents the 41% and 70% figures as findings of its own study, not of this review. (LLM, conf=0.82)
Experimental — accuracy not yet measuredAn a priori power analysis estimated the targeted sample size to be N = 286 based on an expected treatment effect of d = 0.42 at an alpha level of 5% of a one-tailed t-test, a power of 90% and an expected dropout rate of 31%.
“An a priori power analysis [41] estimated the targeted sample size to be N = 286 based on an expected treatment effect of d = 0.42 [83] at an alpha level of 5% of a one-tailed t-test, a power of 90% and an expected dropout rate of 31% [84].”
From Lessons Learned from an Attempted Pragmatic Randomized Controlled Trial for Improvement of Chronic Pain-Associated Disability in Green Professions: Long-Term Effectiveness of a Guided Online-Based Acceptance and Commitment Therapy (PACT-A) (2022) · cites this paper as [84]
Citation [84] is attached to the expected dropout rate, not the power-analysis method or effect size. In “Extent of Dropout from Internet-based Psychological Treatment Programs” (page unavailable), the review reports dropout ranging from 2% to 83%, with a weighted average of 35% and a median of 24%. That supports allowing for substantial dropout, but not the specific 31% estimate. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIn interventions of longer periods, there is the risk of losing motivation to continue.
“Also when it comes to interventions of longer periods, there is the risk of losing motivation to continue (Melville et al., 2010)”
From A Self-Applied Multi-Component Psychological Online Intervention Based on UX, for the Prevention of Complicated Grief Disorder in the Mexican Population During the COVID-19 Outbreak: Protocol of a Randomized Clinical Trial (2021) · cites this paper as Melville et al., 2010
The Conclusions (page unavailable) report that clients cited lack of motivation and treatment being too time-consuming as reasons for leaving internet-based treatment. The paper does not establish that interventions lasting longer cause motivation to decline; its discussion of a longer duration of psychological difficulties concerns the duration of the condition, not the intervention. (LLM, conf=0.82)
Experimental — accuracy not yet measuredWhen receiving online treatment, there is a bigger dropout of men than women, but results are inconclusive.
“and also when they are receiving online treatment, there is a bigger dropout of men than women, however the results are still inconclusive and further research needs to be conducted (Melville et al., 2010).”
From A Self-Applied Multi-Component Psychological Online Intervention Based on UX, for the Prevention of Complicated Grief Disorder in the Mexican Population During the COVID-19 Outbreak: Protocol of a Randomized Clinical Trial (2021) · cites this paper as Melville et al., 2010
The Gender section reports higher dropout among men in one internet-based PTSD treatment study (71% versus 19%), but an insomnia study found no relationship between gender and dropout. The review calls the evidence equivocal and recommends further investigation, so it does not establish higher male dropout across online treatment generally. The supplied passages do not provide page numbers. (LLM, conf=0.86)
Experimental — accuracy not yet measuredA systematic review from 2010 reported a wide range of adherence rates (2%-83%) in 16 studies using internet-based interventions and called for analysis of variables associated with dropout.
“a systematic review from 2010 reported a wide range of adherence rates (2%-83% [37]) in 16 studies using internet-based interventions and specifically called for analysis of variables associated with dropout.”
From Development and feasibility of a digital acceptance and commitment therapy⇓based intervention for generalized anxiety disorder: Pilot acceptability study (2021) · cites this paper as [37]
The Abstract and ‘Extent of Dropout’ section identify 16 studies and report a 2%–83% range for dropout, not adherence. The Conclusions specifically call for research on variables associated with dropping out. The claim is supported except for its labeling of the reported rates as adherence rates. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe estimated sample size of 196 will be increased to compensate a drop-out rate of 31%, yielding a targeted total sample size of 286.
“Since the present study aims for long-term follow-up and drop-out is assumed, the estimated sample size of 196 will be increased to be able to compensate a drop-out rate of 31%. Thus, the targeted total sample size of this study is going to be 286.”
From Clinical and cost-effectiveness of a guided internet-based Acceptance and Commitment Therapy to improve chronic pain-related disability in green professions (PACT-A): Study protocol of a pragmatic randomised controlled trial (2020) · cites this paper as [50]
The 'Extent of Dropout' section supports allowing for attrition, but reports a weighted average dropout rate of 35%, not 31%; it reports a 7% weighted average for follow-up dropout. The sample-size calculation is the citing study's own plan, not a figure reported by this source. (LLM, conf=0.84)
Experimental — accuracy not yet measuredPrior studies have shown that internet-based interventions are frequently accompanied by high drop-out rates, which can lead to a significant loss of power.
“In addition, prior studies have shown that IMIs are frequently accompanied by high drop-out rates,36 50 51 which can lead to a significant loss of power.”
From Clinical and cost-effectiveness of a guided internet-based Acceptance and Commitment Therapy to improve chronic pain-related disability in green professions (PACT-A): Study protocol of a pragmatic randomised controlled trial (2020) · cites this paper as [50]
The Overview reports high dropout from internet-based psychological treatment, and the Summary and Limitations section gives an average dropout rate of 35%. The passages do not establish the further claim that dropout leads to a significant loss of statistical power; a search for power and attrition found no supporting passage. Page numbers were not available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredAnother meta-analysis reported a weighted average attrition of 35% for online interventions.
“This is in line with similar eHealth studies where one meta-analysis reported a 23% dropout overall for eHealth interventions57 and another which reported a weighted average attrition of 35% for online interventions.71”
From Novel ACT-based eHealth psychoeducational intervention for students with mental distress: A study protocol for a mixed-methodology pilot trial (2019) · cites this paper as [71]
The ‘Extent of Dropout’ section reports a sample-size-weighted average dropout of 35% across 16 studies. The Abstract calls the paper a systematic review, not a meta-analysis, and limits its scope to internet-based psychological treatments involving minimal therapist contact—not online interventions generally. No page numbers are provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredNon-adherence to psychological interventions may arise from the requirement of active, self-motivated participation, which may act as a barrier to engagement.
“Such non-adherence may arise from the requirement of active, self-motivated participation, which may act as a barrier to engagement [29].”
From Mindfulness for pain, depression, anxiety, and quality of life in people with spinal cord injury: A systematic review (2020) · cites this paper as [29]
The Conclusions section says insufficient motivation may reduce compliance with treatment tasks and increase the risk of dropping out. That supports the proposed barrier, but the paper discusses internet-based psychological treatment specifically, while the claim extends it to psychological interventions generally. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe literature on side-effects of online psychological treatments is in its infancy.
“The literature on side-effects of online psychological treatments is in its infancy, and although studies are beginning to emerge documenting participants' difficulties during online CBT (Boettcher et al., 2014; Melville et al., 2010), it is not yet known whether online mindfulness interventions are associated with any adverse events or side effects, particularly when participants undergo”
From Online mindfulness-enhanced cognitive behavioural therapy for anxiety and depression: Outcomes of a pilot trial (2018) · cites this paper as Melville et al., 2010
The Conclusions (page unavailable) report that some participants withdrew from internet-based treatment after the onset or worsening of depressive symptoms. The Summary and Limitations section (page unavailable) says research on reasons for dropout is limited, but the paper does not characterize the literature on treatment side effects or adverse events as being in its infancy. (LLM, conf=0.80)
Experimental — accuracy not yet measuredIt is rather unlikely that patients discontinue treatment due to major improvements already made during the current path of treatment.
“Although some clinicians argue that some patients discontinue treatment due to major improvements already made during the current path of treatment, this is rather unlikely [51].”
From Efficacy and Acceptance of Cognitive Behavioral Therapy in Adults with Chronic Fatigue Syndrome: A Meta-analysis. (2024) · cites this paper as [51]
In “Consideration of outcome after dropout” (page unavailable), the paper says the evidence suggests that overcoming psychological difficulties before completing treatment may not explain dropout. But that evidence comes from face-to-face treatment, and the paper explicitly says it is unclear whether the finding applies to internet-based treatment. The citing sentence omits that limitation. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe mean rate of adherence to protocol (82.6%) was higher than published means for CBT-based interventions where dropout rates range from 2% to 83%, and was comparable to the rates of adherence for the control groups (83.4%).
“The mean rate of adherence to protocol (82.6%) was higher than published means for CBT based interventions where dropout rates range from 2% to 83% [60] and was comparable to the rates of adherence for the control groups (83.4%).”
From Effectiveness of Web-Delivered Acceptance and Commitment Therapy in Relation to Mental Health and Well-Being: A Systematic Review and Meta-Analysis. (2016) · cites this paper as [60]
The ‘Extent of Dropout’ section reports a 2%–83% dropout range and a weighted average of 35%, supporting the cited range and the comparison with 82.6% adherence. But those figures cover internet-based psychological treatment programs with minimal therapist contact, not CBT-based interventions generally. The 82.6% and 83.4% adherence figures are the citing study’s own results, not figures attributed to this source. (LLM, conf=0.86)
Experimental — accuracy not yet measuredDrop-out from the psychoeducation programs left 30 participants in the ACT group and 47 in the CBT group.
“For each group, drop-out occurred leaving 30 participants in the ACT group and 47 in the CBT group (these rates are consistent with previous research, e.g., Melville et al., 2010).”
From Reducing Test Anxiety During the COVID-19 Pandemic: A Comparison of the Effectiveness of Cognitive Behavioral Therapy and Acceptance and Commitment Therapy (2024) · cites this paper as Melville et al., 2010
Adherence and dropouts are among the most discussed issues related to self-guided interventions.
“Adherence and dropouts are among the most discussed issues related to self-guided interventions (Cavanagh, 2010; Melville et al., 2010).”
From Internet-based self-administered intervention to reduce anxiety and depression symptomatology and improve well-being in 7 countries: protocol of a randomized control trial (2024) · cites this paper as Melville et al., 2010
Previous research findings have shown high dropout rates in studies of internet psychological interventions.
“First, previous research findings have shown high dropout rates in studies of internet psychological interventions [94].”
From Effectiveness and mediators of change of an online CBT intervention for students with adjustment disorder—study protocol for a randomized controlled trial (2023) · cites this paper as [94]
Drop-out rates vary greatly across studies, so this study could also be underpowered or overpowered.
“However, drop-out rates vary greatly across studies.36 50 51 Consequently, this study could also be underpowered or overpowered.”
Drop-out in internet-based interventions can be moderately to high.
“Second, drop-out in internet-based interventions can be moderately to high (Melville et al., 2010), which can lead to reduced power of analyses.”
From The efficacy of automated feedback after internet-based depression screening: Study protocol of the German, three-armed, randomised controlled trial DISCOVER (2021) · cites this paper as Melville et al., 2010
The predicted attrition rates are in line with reported rates in similar eHealth studies.
“The attrition rates predicted are in line with reported rates in similar eHealth studies57 71”
From Novel ACT-based eHealth psychoeducational intervention for students with mental distress: A study protocol for a mixed-methodology pilot trial (2019) · cites this paper as [71]
Improving participants' expectations is relevant to promote program adherence.
“Taking into account the significant dropout rate from IBIs (73, 81–83), this result shows the relevance of working to improve the participants’ expectations as a way to promote program adherence.”
Adherence to the program (59%) was consistent with some previously reported adherence rates.
“While adherence to the program (59%) was consistent with some previously reported adherence rates (Melville et al., 2010), it was lower than adherence to the original 6-lesson iCBT delivered over 10 weeks (89%) reported by Newby et al. (2013), despite comparable clinician time spent per participant.”
From Online mindfulness-enhanced cognitive behavioural therapy for anxiety and depression: Outcomes of a pilot trial (2018) · cites this paper as Melville et al., 2010
It is not yet known whether online mindfulness interventions are associated with any adverse events or side effects, particularly when participants undergo mindfulness training without explicit guidance from a teacher.
“The literature on side-effects of online psychological treatments is in its infancy, and although studies are beginning to emerge documenting participants' difficulties during online CBT (Boettcher et al., 2014; Melville et al., 2010), it is not yet known whether online mindfulness interventions are associated with any adverse events or side effects, particularly when participants undergo”
From Online mindfulness-enhanced cognitive behavioural therapy for anxiety and depression: Outcomes of a pilot trial (2018) · cites this paper as Melville et al., 2010
A systematic review of attrition rates from Internet-based treatment programs where therapist contact was minimal found an average dropout rate of 35%, with a range of 2% to 83%.
“A systematic review of attrition rates from Internet-based treatment programs where therapist contact was minimal found an average dropout rate of 35%, with a range of 2% to 83% [46].”
From Feasibility and effectiveness of a web-based positive psychology program for youth mental health: Randomized controlled trial (2014) · cites this paper as [46]
Attrition rates in the included iACT studies were commensurate with other website interventions based on other therapy models.
“Attrition rates were commensurate to other website interventions based on other therapy models [32], and treatment satisfaction was rated above average to high among participants who completed their respective iACT program.”
From Internet-Delivered Acceptance and Commitment Therapy for Anxiety Treatment: Systematic Review. (2019) · cites this paper as [32]
The mean attrition rate of 19.19% across included studies was lower than the weighted average of 35% for other Web-based interventions.
“The mean attrition rate across all included studies (19.19%) was lower than the median dropout rate of 24% identified across other Web-based interventions, and lower than the weighted average of 35% [32].”
From Internet-Delivered Acceptance and Commitment Therapy for Anxiety Treatment: Systematic Review. (2019) · cites this paper as [32]
The mean attrition rate of 19.19% across included studies was lower than the median dropout rate of 24% identified across other Web-based interventions.
“The mean attrition rate across all included studies (19.19%) was lower than the median dropout rate of 24% identified across other Web-based interventions, and lower than the weighted average of 35% [32].”
From Internet-Delivered Acceptance and Commitment Therapy for Anxiety Treatment: Systematic Review. (2019) · cites this paper as [32]
A further 13 participants in the intervention condition were deemed noncompliant because they reported using the incorrect website, as per protocol.
“A further 13 participants in the intervention condition were deemed to be noncompliant because they reported using the incorrect website (see Figure 4) as per protocol [46,47].”
From Feasibility and effectiveness of a web-based positive psychology program for youth mental health: Randomized controlled trial (2014) · cites this paper as [46]
The Data Selection section describes a review of dropout from internet-based psychological treatment, and the Summary and Limitations section discusses inconsistent definitions of dropout. Neither reports 13 intervention participants, use of an incorrect website, or a protocol classifying those participants as noncompliant. Searches for those terms found no supporting passage in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measuredStudy dropout or study attrition has been evaluated as a proxy for treatment dropout, with findings suggesting significant dropout.
“For example, study dropout or study attrition has been evaluated as a proxy for treatment dropout, with findings suggesting significant dropout [16-18].”
From Digital Mental Health Interventions for Depression: Scoping Review of User Engagement (2022) · cites this paper as [17]
Concerns related to sustained engagement with web-based psychiatric interventions have been reported in routine-care implementation studies.
“Similarly, concerns related to sustained engagement with web-based psychiatric interventions have been reported in routine-care implementation studies [4-6,17].”
From Digital Mental Health Interventions for Depression: Scoping Review of User Engagement (2022) · cites this paper as [17]
Many studies report variable adherence and completion rates for e-mental health approaches, raising questions about satisfaction.
“Given these criteria, it is not surprising that many studies report variable adherence and completion rates [14,15] raising questions about satisfaction with e-mental health approaches [16].”
From Acceptability of Mental Health Apps for Aboriginal and Torres Strait Islander Australians: A Qualitative Study (2016) · cites this paper as [15]
The study had a high attrition rate.
“We were confronted with a high attrition rate which is seen more often in Web-based interventions [71,72].”
From Long-Term Results of a Web-Based Guided Self-Help Intervention for Employees With Depressive Symptoms: Randomized Controlled Trial (2014) · cites this paper as [72]
Others have found no association between adherence and age, gender, or education level.
“others have found no association between adherence and age, gender, or education level [80,81].”
From Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress (2012) · cites this paper as [81]
In the authors' feasibility RCT, the dropout rate was 70%, consistent with other e-mental health studies.
“In our feasibility RCT, we found a dropout rate of 70%, which is consistent with other e-mental health studies [29,30].”
From Evaluating the Effectiveness of an E-Mental Health Intervention for People Living in Lebanon: Protocol for Two Randomized Controlled Trials (2021) · cites this paper as [30]
High attrition is seen more often in Web-based interventions.
“which is seen more often in Web-based interventions [73,74]”
From Short-Term Effects of a Web-Based Guided Self-Help Intervention for Employees With Depressive Symptoms: Randomized Controlled Trial (2014) · cites this paper as [74]
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- Authors
- Melville, K. M., Casey, L. M., & Kavanagh, D. J.
- Affiliations
- Griffith University (AU)
- Queensland University of Technology (AU)
- Corresponding author
- Melville, Katherine M.
- ORCID
- Kavanagh, David J.
- Venue
- British Journal of Clinical Psychology
- Publisher
- Wiley
- Published
- 2010-11
- Volume
- 49
- Issue
- 4
- Pages
- 455-471
- ISSN
- 0144-6657 (ISSN-L)
- 2044-8260
- OpenAlex
- W1601069999
- Semantic Scholar
- c891fa1e16e494939665a91bf737cdb05e919d80
- Cited by
- 597
- References
- 60
- Citations by year
- 2026: 29 · 2025: 32 · 2024: 36 · 2023: 54 · 2022: 58 · 2021: 64 · 2020: 52 · 2019: 42 · 2018: 42 · 2017: 42 · 2016: 39 · 2015: 23 · 2014: 35 · 2013: 23 · 2012: 17
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- British Journal of Clinical Psychology (publishedVersion, other-oa)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, other-oa)
- Griffith Research Online (submittedVersion)
- Faculty of Health; Institute of Health and Biomedical Innovation
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- treatment discontinuation, attrition, online therapy, mental illness, predictors of dropout, medication adherence
- MeSH terms
- Anxiety Disorders, Mental Disorders, Cross-Sectional Studies, Depressive Disorder, Female, Humans, Male, Motivation, Patient Compliance, Patient Dropouts, Risk Factors, Stress Disorders, Post-Traumatic, Therapy, Computer-Assisted, Comorbidity, Cognitive Behavioral Therapy, Internet
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