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View Study Among Users of a Digital Support System (Buddy Project) (E21819) Nazanin Andalibi, Madison Flood

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View Study Among Users of a Digital Support System (Buddy Project) (E21819) Nazanin Andalibi, Madison Flood JMIR Mental Health Internet interventions, technologies and digital innovations for mental health and behaviour change Volume 8 (2021), Issue 1 ISSN: 2368-7959 Editor in Chief: John Torous, MD Contents Original Papers Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study (e24333) Janik Goltermann, Daniel Emden, Elisabeth Leehr, Katharina Dohm, Ronny Redlich, Udo Dannlowski, Tim Hahn, Nils Opel. 3 Participant Engagement in a Transmedia Storytelling Web-Based App Intervention for Mental Health of Latina Women: Qualitative Analysis (e22575) Patricia Soderlund, Adrienne Martinez Hollingsworth, MarySue Heilemann. 13 Individualized Web-Based Attention Training With Evidence-Based Counseling to Address HIV Treatment Adherence and Psychological Distress: Exploratory Cohort Study (e18328) Eric Houston, Javad Fadardi, Nina Harawa, Chris Argueta, Sukrit Mukherjee. 27 Considerations in Designing Digital Peer Support for Mental Health: Interview Study Among Users of a Digital Support System (Buddy Project) (e21819) Nazanin Andalibi, Madison Flood. 59 Effects of ACT Out! Social Issue Theater on Social-Emotional Competence and Bullying in Youth and Adolescents: Cluster Randomized Controlled Trial (e25860) Jon Agley, Mikyoung Jun, Lori Eldridge, Daniel Agley, Yunyu Xiao, Steve Sussman, Lilian Golzarri-Arroyo, Stephanie Dickinson, Wasantha Jayawardene, Ruth Gassman. 76 Psychiatric Profiles of eHealth Users Evaluated Using Data Mining Techniques: Cohort Study (e17116) Jorge Lopez-Castroman, Diana Abad-Tortosa, Aurora Cobo Aguilera, Philippe Courtet, Maria Barrigón, Antonio Artés, Enrique Baca-García. 98 Mobile Phone Use and Acceptability for the Delivery of Mental Health Information Among Perinatal Adolescents in Nigeria: Survey Study (e20314) Lola Kola, Dolapo Abiona, Adeyinka Adefolarin, Dror Ben-Zeev. 108 mPulse Mobile Sensing Model for Passive Detection of Impulsive Behavior: Exploratory Prediction Study (e25019) Hongyi Wen, Michael Sobolev, Rachel Vitale, James Kizer, J Pollak, Frederick Muench, Deborah Estrin. 116 A Mindfulness-Based Intervention for Student Depression, Anxiety, and Stress: Randomized Controlled Trial (e23491) Paul Ritvo, Farah Ahmad, Christo El Morr, Meysam Pirbaglou, Rahim Moineddin, MVC Team. 144 JMIR Mental Health 2021 | vol. 8 | iss. 1 | p.1 XSL·FO RenderX Comparing Effectiveness Between a Mobile App Program and Traditional Cognitive Behavior Therapy in Obsessive-Compulsive Disorder: Evaluation Study (e23778) Hyunchan Hwang, Sujin Bae, Ji Hong, Doug Han. 161 Examining the Relationship Between the Use of a Mobile Peer-Support App and Self-Injury Outcomes: Longitudinal Mixed Methods Study (e21854) Kaylee Kruzan, Janis Whitlock, Natalya Bazarova. 175 A Blended Electronic Illness Management and Recovery Program for People With Severe Mental Illness: Qualitative Process Evaluation Alongside a Randomized Controlled Trial (e20860) Titus Beentjes, Betsie van Gaal, Hester Vermeulen, Maria Nijhuis-van der Sanden, Peter Goossens. 190 The Effects of Downloading a Government-Issued COVID-19 Contact Tracing App on Psychological Distress During the Pandemic Among Employed Adults: Prospective Study (e23699) Norito Kawakami, Natsu Sasaki, Reiko Kuroda, Kanami Tsuno, Kotaro Imamura. 204 Psychological Impact of the COVID-19 Pandemic on Chinese Health Care Workers: Cross-Sectional Survey Study (e23125) Jie Ni, Fang Wang, Yihai Liu, Mingyue Wu, Yan Jiang, Yujie Zhou, Dujuan Sha. 213 Impact of the COVID-19 Pandemic on Disordered Eating Behavior: Qualitative Analysis of Social Media Posts (e26011) Sara Nutley, Alyssa Falise, Rebecca Henderson, Vasiliki Apostolou, Carol Mathews, Catherine Striley. 220 Viewpoints Workshop on Implementation Science and Digital Therapeutics for Behavioral Health (e17662) Sarah Lord, Aimee Campbell, Mary Brunette, Leonardo Cubillos, Sophia Bartels, William Torrey, Ardis Olson, Steven Chapman, John Batsis, Daniel Polsky, Edward Nunes, Katherine Seavey, Lisa Marsch. 37 It Is Time to REACT: Opportunities for Digital Mental Health Apps to Reduce Mental Health Disparities in Racially and Ethnically Minoritized Groups (e25456) Elsa Friis-Healy, Gabriela Nagy, Scott Kollins. 51 Review Text Message Interventions in Adolescent Mental Health and Addiction Services: Scoping Review (e16508) Sarah MacDougall, Susan Jerrott, Sharon Clark, Leslie Campbell, Andrea Murphy, Lori Wozney. 130 Corrigenda and Addendas Correction: Evaluation of a Mobile App to Enhance Relational Awareness and Change During Cognitive Analytic Therapy: Mixed Methods Case Series (e27159) Stephen Kellett, Katherine Easton, Martin Cooper, Abigail Millings, Melanie Simmonds-Buckley, Glenys Parry. 200 Correction: A Mindfulness-Based Intervention for Student Depression, Anxiety, and Stress: Randomized Controlled Trial (e27160) Paul Ritvo, Farah Ahmad, Christo El Morr, Meysam Pirbaglou, Rahim Moineddin, MVC Team. 202 JMIR Mental Health 2021 | vol. 8 | iss. 1 | p.2 XSL·FO RenderX JMIR MENTAL HEALTH Goltermann et al Original Paper Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study Janik Goltermann1*, MSc; Daniel Emden1*, Dipl-Inf; Elisabeth Johanna Leehr1, PhD; Katharina Dohm1, PhD; Ronny Redlich1,2, PhD; Udo Dannlowski1, MD, PhD; Tim Hahn1, PhD; Nils Opel1,3, MD 1Department of Psychiatry, University of Münster, Münster, Germany 2Institute of Psychology, University of Halle, Halle, Germany 3Interdisciplinary Centre for Clinical Research Münster, University of Münster, Münster, Germany *these authors contributed equally Corresponding Author: Nils Opel, MD Department of Psychiatry University of Münster Albert-Schweitzer-Campus 1 Münster, 48149 Germany Phone: 49 251 8356610 Email: [email protected] Abstract Background: Smartphone-based symptom monitoring has gained increased attention in psychiatric research as a cost-efficient tool for prospective and ecologically valid assessments based on participants' self-reports. However, a meaningful interpretation of smartphone-based assessments requires knowledge about their psychometric properties, especially their validity. Objective: The goal of this study is to systematically investigate the validity of smartphone-administered assessments of self-reported affective symptoms using the Remote Monitoring Application in Psychiatry (ReMAP). Methods: The ReMAP app was distributed to 173 adult participants of ongoing, longitudinal psychiatric phenotyping studies, including healthy control participants, as well as patients with affective disorders and anxiety disorders; the mean age of the sample was 30.14 years (SD 11.92). The Beck Depression Inventory (BDI) and single-item mood and sleep information were assessed via the ReMAP app and validated with non±smartphone-based BDI scores and clinician-rated depression severity using the Hamilton Depression Rating Scale (HDRS). Results: We found overall high comparability between smartphone-based and non±smartphone-based BDI scores (intraclass correlation coefficient=0.921; P<.001). Smartphone-based BDI scores further correlated with non±smartphone-based HDRS ratings of depression severity in a subsample (r=0.783; P<.001; n=51). Higher agreement between smartphone-based and non±smartphone-based assessments was found among affective disorder patients as compared to healthy controls and anxiety disorder patients. Highly comparable agreement between delivery formats was found across age and gender groups. Similarly, smartphone-based single-item self-ratings of mood correlated with BDI sum scores (r=±0.538; P<.001; n=168), while smartphone-based single-item sleep duration correlated with the sleep item of the BDI (r=±0.310; P<.001; n=166). Conclusions: These findings demonstrate that smartphone-based monitoring of depressive symptoms via the ReMAP app provides valid assessments of depressive symptomatology and, therefore, represents a useful tool for prospective digital phenotyping in affective disorder patients in clinical and research applications. (JMIR Ment Health 2021;8(1):e24333) doi:10.2196/24333 KEYWORDS mobile monitoring; smartphone; digital biomarkers; digital phenotyping; course of illness; psychometric quality; mood disorders; depression; affective disorders; mobile phone https://mental.jmir.org/2021/1/e24333 JMIR Ment Health 2021 | vol. 8 | iss. 1 | e24333 | p.3 (page number not for citation purposes) XSL·FO RenderX JMIR MENTAL HEALTH Goltermann et al paper-and-pencil psychometric instruments seem to be generally Introduction comparable, however, with considerable variance in the The phasic development of symptoms over time in the form of agreement [16-18]. Yet, a considerable number of previous disease episodes is one of the key characteristics of affective studies investigating the reliability and validity of digital disorders. These disease trajectories can be used as an phenotyping methods have focused on computer-based informative predictor as well as an outcome measure in assessments that might differ from mobile assessments via the psychiatric research and personalized medicine. However, the participants' smartphones as outlined above. For the Beck assessment of the development of symptoms over time is Depression Inventory (BDI), interformat reliability between challenging. The value of cross-sectional assessments is limited non±smartphone-based paper-and-pencil versions and as they can only capture an excerpt of the symptom history and computer-based versions has been
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