The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial

被引:224
作者
Arean, Patricia A. [1 ]
Hallgren, Kevin A. [1 ]
Jordan, Joshua T. [2 ,3 ]
Gazzaley, Adam [2 ,3 ]
Atkins, David C. [4 ]
Heagerty, Patrick J. [4 ]
Anguera, Joaquin A. [2 ,3 ]
机构
[1] Univ Washington, Dept Psychiat & Behav Sci, Seattle, WA 98195 USA
[2] Univ Calif San Francisco, Dept Neurol, 675 Nelson Rising Lane, San Francisco, CA 94158 USA
[3] Univ Calif San Francisco, Dept Psychiat, San Francisco, CA 94143 USA
[4] Univ Washington, Sch Publ Hlth, Dept Biostat, Seattle, WA 98195 USA
关键词
depression; mobile apps; RCT; randomized controlled trial; cognitive training; iPST; problem-solving therapy; GENERALIZED ANXIETY DISORDER; MISSING DATA; HEALTH TECHNOLOGY; DESIGN; INTERVENTION; ASSOCIATION; VALIDATION; MANAGEMENT; QUESTIONS; THERAPIES;
D O I
10.2196/jmir.6482
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Mobile apps for mental health have the potential to overcome access barriers to mental health care, but there is little information on whether patients use the interventions as intended and the impact they have on mental health outcomes. Objective: The objective of our study was to document and compare use patterns and clinical outcomes across the United States between 3 different self-guided mobile apps for depression. Methods: Participants were recruited through Web-based advertisements and social media and were randomly assigned to 1 of 3 mood apps. Treatment and assessment were conducted remotely on each participant's smartphone or tablet with minimal contact with study staff. We enrolled 626 English-speaking adults (>= 18 years old) with mild to moderate depression as determined by a 9-item Patient Health Questionnaire (PHQ-9) score >= 5, or if their score on item 10 was >= 2. The apps were (1) Project: EVO, a cognitive training app theorized to mitigate depressive symptoms by improving cognitive control, (2) iPST, an app based on an evidence-based psychotherapy for depression, and (3) Health Tips, a treatment control. Outcomes were scores on the PHQ-9 and the Sheehan Disability Scale. Adherence to treatment was measured as number of times participants opened and used the apps as instructed. Results: We randomly assigned 211 participants to iPST, 209 to Project: EVO, and 206 to Health Tips. Among the participants, 77.0% (482/626) had a PHQ-9 score >10 (moderately depressed). Among the participants using the 2 active apps, 57.9% (243/420) did not download their assigned intervention app but did not differ demographically from those who did. Differential treatment effects were present in participants with baseline PHQ-9 score >10, with the cognitive training and problem-solving apps resulting in greater effects on mood than the information control app (chi 22= 6.46, P=.04). Conclusions: Mobile apps for depression appear to have their greatest impact on people with more moderate levels of depression. In particular, an app that is designed to engage cognitive correlates of depression had the strongest effect on depressed mood in this sample. This study suggests that mobile apps reach many people and are useful for more moderate levels of depression.
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页数:13
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共 52 条
[21]  
Greenberg Donna B, 2004, J Natl Cancer Inst Monogr, P127
[22]   Missing Data in Alcohol Clinical Trials: A Comparison of Methods [J].
Hallgren, Kevin A. ;
Witkiewitz, Katie .
ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2013, 37 (12) :2152-2160
[23]   Application of random-effects pattern-mixture models for missing data in longitudinal studies [J].
Hedeker, D ;
Gibbons, RD .
PSYCHOLOGICAL METHODS, 1997, 2 (01) :64-78
[24]   The national depressive and manic-depressive association consensus statement on the undertreatment of depression [J].
Hirschfield, RMA ;
Keller, MB ;
Panico, S ;
Arons, BS ;
Barlow, D ;
Davidoff, F ;
Endicott, J ;
Froom, J ;
Goldstein, M ;
Horman, JM ;
Guthrie, D ;
Marek, RG ;
Maurer, TA ;
Meyer, R ;
Phillips, K ;
Ross, J ;
Schwenk, TL ;
Sharfstein, SS ;
Thase, ME ;
Wyatt, RJ .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1997, 277 (04) :333-340
[25]   A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression [J].
Huguet, Anna ;
Rao, Sanjay ;
McGrath, Patrick J. ;
Wozney, Lori ;
Wheaton, Mike ;
Conrod, Jill ;
Rozario, Sharlene .
PLOS ONE, 2016, 11 (05)
[26]   Developing and Validating the User Burden Scale: A Tool for Assessing User Burden in Computing Systems [J].
Suh, Hyewon ;
Shahriaree, Nina ;
Hekler, Eric B. ;
Kientz, Julie A. .
34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016, 2016, :3988-3999
[27]   A framework for self-experimentation in personalized health [J].
Karkar, Ravi ;
Zia, Jasmine ;
Vilardaga, Roger ;
Mishra, Sonali R. ;
Fogarty, James ;
Munson, Sean A. ;
Kientz, Julie A. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2016, 23 (03) :440-448
[28]   Lifetime prevalence and age-of-onset distributions' of DSM-IV disorders in the national comorbidity survey replication [J].
Kessler, RC ;
Berglund, P ;
Demler, O ;
Jin, R ;
Walters, EE .
ARCHIVES OF GENERAL PSYCHIATRY, 2005, 62 (06) :593-602
[29]   The epidemiology of major depressive disorder - Results from the National Comorbidity Survey Replication (NCS-R). [J].
Kessler, RC ;
Berglund, P ;
Demler, O ;
Jin, R ;
Koretz, D ;
Merikangas, KR ;
Rush, AJ ;
Walters, EE ;
Wang, PS .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2003, 289 (23) :3095-3105
[30]   Preliminary Evaluation of PTSD Coach, a Smartphone App for Post-Traumatic Stress Symptoms [J].
Kuhn, Eric ;
Greene, Carolyn ;
Hoffman, Julia ;
Nguyen, Tam ;
Wald, Laura ;
Schmidt, Janet ;
Ramsey, Kelly M. ;
Ruzek, Josef .
MILITARY MEDICINE, 2014, 179 (01) :12-18