Supportive Fintech for Individuals with Bipolar Disorder: Financial Data Sharing Preferences for Longitudinal Care Management
Authors: 
Jeff Brozena, Johnna Blair, Thomas Richardson, Mark Matthews, Dahlia Mukherjee, Erika F. H. Saunders, Saeed AbdullahAuthors Info & Claims
Jeff Brozena, Johnna Blair, Thomas Richardson, Mark Matthews, Dahlia Mukherjee, Erika F. H. Saunders, Saeed AbdullahAuthors Info & ClaimsArticle No.: 356, Pages 1 - 15
Abstract
Financial stability is a key challenge for individuals living with bipolar disorder (BD). Symptomatic periods in BD are associated with poor financial decision-making, contributing to a negative cycle of worsening symptoms and an increased risk of bankruptcy. There has been an increased focus on designing supportive financial technologies (fintech) to address varying and intermittent needs across different stages of BD. However, little is known about this population’s expectations and privacy preferences related to financial data sharing for longitudinal care management. To address this knowledge gap, we have deployed a factorial vignette survey using the Contextual Integrity framework. Our data from individuals with BD (N=480) shows that they are open to sharing financial data for long term care management. We have also identified significant differences in sharing preferences across age, gender, and diagnostic subtype. We discuss the implications of these findings in designing equitable fintech to support this marginalized community.
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Participant demographic descriptions, mean vignette ratings for all vignettes, and the final maximal model formula used in our analysis.
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References
[1]
American Psychiatric Association. 2013. Diagnostic and Statistical Manual of Mental Disorders (fifth edition ed.). American Psychiatric Association. https://doi.org/10.1176/appi.books.9780890425596
[2]
Thom Baguley, Grace Dunham, and Oonagh Steer. 2022. Statistical Modelling of Vignette Data in Psychology. British Journal of Psychology 113, 4 (Nov. 2022), 1143–1163. https://doi.org/10.1111/bjop.12577
[3]
Belén Barros Pena, Bailey Kursar, Rachel E Clarke, Katie Alpin, Merlyn Holkar, and John Vines. 2021. Financial Technologies in the Cycle of Poor Mental Health and Financial Hardship: Towards Financial Citizenship. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–16. https://doi.org/10.1145/3411764.3445251
[4]
Belén Barros Pena, Bailey Kursar, Rachel E. Clarke, Katie Alpin, Merlyn Holkar, and John Vines. 2021. "Pick Someone Who Can Kick Your Ass" - Moneywork in Financial Third Party Access. Proceedings of the ACM on Human-Computer Interaction 4, CSCW3 (Jan. 2021), 218:1–218:28. https://doi.org/10.1145/3432917
[5]
Rosanna Bellini. 2023. Paying the Price: When Intimate Partners Use Technology for Financial Harm. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. ACM, Hamburg Germany, 1–17. https://doi.org/10.1145/3544548.3581101
[6]
Leona Bessonova, Kristine Ogden, Michael J Doane, Amy K O’Sullivan, and Mauricio Tohen. 2020. The Economic Burden of Bipolar Disorder in the United States: A Systematic Literature Review. ClinicoEconomics and Outcomes Research 12 (Dec. 2020), 481–497. https://doi.org/10.2147/CEOR.S259338
[7]
Johnna Blair, Jeff Brozena, Mark Matthews, Thomas Richardson, and Saeed Abdullah. 2022. Financial Technologies (FinTech) for Mental Health: The Potential of Objective Financial Data to Better Understand the Relationships between Financial Behavior and Mental Health. Frontiers in Psychiatry 13 (2022). https://doi.org/10.3389/fpsyt.2022.810057
[8]
Johnna Blair, Dahlia Mukherjee, Erika FH Saunders, and Saeed Abdullah. 2020. Opportunities for Collaborative Clinical Work: Predicting Relapse Onset in Bipolar Disorder from Online Behavior. In Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare. 234–238. https://doi.org/10.1145/3421937.3421947
[9]
Johnna Blair, Dahlia Mukherjee, Erika FH Saunders, and Saeed Abdullah. 2023. Knowing How Long a Storm Might Last Makes it Easier to Weather: Exploring Needs and Attitudes Toward a Data-driven and Preemptive Intervention System for Bipolar Disorder. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–12. https://doi.org/10.1145/3544548.3581563
[10]
Virginia Braun and Victoria Clarke. 2019. Reflecting on Reflexive Thematic Analysis. Qualitative research in sport, exercise and health 11, 4 (2019), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
[11]
Caroline Claisse, Bakita Kasadha, and Abigail C Durrant. 2023. Perspectives of healthcare professionals and people living with HIV in dialogue: on information sharing to improve communication at the consultation. AIDS Care (2023), 1–9. https://doi.org/10.1080/09540121.2023.2282034
[12]
Martin Cloutier, Mallik Greene, Annie Guerin, Maelys Touya, and Eric Wu. 2018. The Economic Burden of Bipolar I Disorder in the United States in 2015. Journal of Affective Disorders 226 (Jan. 2018), 45–51. https://doi.org/10.1016/j.jad.2017.09.011
[13]
Anna L. Cox, Sandy J.J. Gould, Marta E. Cecchinato, Ioanna Iacovides, and Ian Renfree. 2016. Design Frictions for Mindful Interactions: The Case for Microboundaries. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems(CHI EA ’16). Association for Computing Machinery, New York, NY, USA, 1389–1397. https://doi.org/10.1145/2851581.2892410
[14]
Jay L Cunningham, Sydney T Nguyen, Julie A Kientz, and Daniela Rosner. 2022. The Cost of Culture: An Analysis of Cash App and the Financial Inclusion of Black American Communities. In Designing Interactive Systems Conference. 612–628. https://doi.org/10.1145/3532106.3533569
[15]
Craig K. Enders. 2001. The Performance of the Full Information Maximum Likelihood Estimator in Multiple Regression Models with Missing Data. Educational and Psychological Measurement 61, 5 (Oct. 2001), 713–740. https://doi.org/10.1177/0013164401615001
[16]
Craig K. Enders. 2023. Missing Data: An Update on the State of the Art.Psychological Methods (March 2023). https://doi.org/10.1037/met0000563
[17]
Daniel Epstein. 2018. Everyday Personal Informatics. Ph. D. Dissertation. http://hdl.handle.net/1773/43016
[18]
Daniel A. Epstein, Alan Borning, and James Fogarty. 2013. Fine-Grained Sharing of Sensed Physical Activity: A Value Sensitive Approach. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, Zurich Switzerland, 489–498. https://doi.org/10.1145/2493432.2493433
[19]
Daniel A. Epstein, Nicole B. Lee, Jennifer H. Kang, Elena Agapie, Jessica Schroeder, Laura R. Pina, James Fogarty, Julie A. Kientz, and Sean Munson. 2017. Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, Denver Colorado USA, 6876–6888. https://doi.org/10.1145/3025453.3025635
[20]
B Farr, B Cash, and A Harper. 2019. Why Financial Institutions Need to Offer Supportive Banking Features. Unpublished. The Ludwig Center for Community and Economic Development at Yale Law School.
[21]
Simone Farrelly, Sarah Clement, Jheanell Gabbidon, Debra Jeffery, Lisa Dockery, Francesca Lassman, Elaine Brohan, R Claire Henderson, Paul Williams, Louise M Howard, 2014. Anticipated and experienced discrimination amongst people with schizophrenia, bipolar disorder and major depressive disorder: a cross sectional study. BMC psychiatry 14, 1 (2014), 1–8. https://doi.org/10.1186/1471-244X-14-157
[22]
Janet Finch. 1987. The Vignette Technique in Survey Research. Sociology 21, 1 (Feb. 1987), 105–114. https://doi.org/10.1177/0038038587021001008
[23]
Kathryn Fletcher, Gordon Parker, Amelia Paterson, and Howe Synnott. 2013. High-Risk Behaviour in Hypomanic States. Journal of Affective Disorders 150, 1 (Aug. 2013), 50–56. https://doi.org/10.1016/j.jad.2013.02.018
[24]
Aaron J Greene. 2022. Elder financial abuse and electronic financial instruments: present and future considerations for financial capacity assessments. The American Journal of Geriatric Psychiatry 30, 1 (2022), 90–106. https://doi.org/10.1016/j.jagp.2021.02.045
[25]
Tiffany A. Greenwood. 2020. Creativity and Bipolar Disorder: A Shared Genetic Vulnerability. Annual Review of Clinical Psychology 16, 1 (2020), 239–264. https://doi.org/10.1146/annurev-clinpsy-050718-095449
[26]
Jose Guzman-Parra, Fabian Streit, Andreas J Forstner, Jana Strohmaier, Maria José González, Susana Gil Flores, Francisco J Cabaleiro Fabeiro, Francisco del Río Noriega, Fermin Perez Perez, Jesus Haro González, 2021. Clinical and genetic differences between bipolar disorder type 1 and 2 in multiplex families. Translational Psychiatry 11, 1 (2021), 31. https://doi.org/10.1038/s41398-020-01146-0
[27]
Guhyun Han, Jaehun Jung, Young-Ho Kim, and Jinwook Seo. 2023. DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–21. https://doi.org/10.1145/3544548.3580828
[28]
Lisa D Hawke, Natasha Y Sheikhan, Nev Jones, Mike Slade, Sophie Soklaridis, Samantha Wells, and David Castle. 2022. Embedding lived experience into mental health academic research organizations: Critical reflections. Health Expectations 25, 5 (2022), 2299–2305. https://doi.org/10.1111/hex.13586
[29]
Andrew Heiss. 2022. Marginalia: A Guide to Figuring out What the Heck Marginal Effects, Marginal Slopes, Average Marginal Effects, Marginal Effects at the Mean, and All These Other Marginal Things Are. https://www.andrewheiss.com/blog/2022/05/20/marginalia. https://doi.org/10.59350/40xaj-4e562
[30]
Guy Hindley, Lucy A. Stephenson, Alex Ruck Keene, Larry Rifkin, Tania Gergel, and Gareth Owen. 2019. “Why Have I Not Been Told about This?”: A Survey of Experiences of and Attitudes to Advance Decision-Making amongst People with Bipolar. Wellcome Open Research 4 (April 2019), 16. https://doi.org/10.12688/wellcomeopenres.14989.2
[31]
Michael Hoefer, Jeffrey Daniel, Lucy Van Kleunen, Cassandra Goodby, Lanea Blyss Blackburn, Priyanka Panati, and Stephen Voida. 2021. The Multiplicative Patient and the Clinical Workflow: Clinician Perspectives on Social Interfaces for Self-Tracking and Managing Bipolar Disorder. In Designing Interactive Systems Conference 2021. Association for Computing Machinery, New York, NY, USA, 907–925. https://doi.org/10.1145/3461778.3461995
[32]
Samia Ibtasam, Hamid Mehmood, Lubna Razaq, Jennifer Webster, Sarah Yu, and Richard Anderson. 2017. An exploration of smartphone based mobile money applications in Pakistan. In Proceedings of the Ninth International Conference on Information and Communication Technologies and Development. 1–11. https://doi.org/10.1145/3136560.3136571
[33]
Plaid Inc.2021. Plaid: Enabling all companies to build fintech solutions. (2021). https://plaid.com/
[34]
Oscar G. Jiménez-Solomon, Pablo Méndez-Bustos, Margaret Swarbrick, Samantha Díaz, Sissy Silva, Maura Kelley, Steve Duke, and Roberto Lewis-Fernández. 2016. Peer-Supported Economic Empowerment: A Financial Wellness Intervention Framework for People with Psychiatric Disabilities. Psychiatric Rehabilitation Journal 39, 3 (Sept. 2016), 222–233. https://doi.org/10.1037/prj0000210
[35]
Jasmine Jones, Ye Yuan, and Svetlana Yarosh. 2021. Be consistent, work the program, be present every day: exploring Technologies for Self-Tracking in early recovery. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 4 (2021), 1–26. https://doi.org/10.1145/3494955
[36]
Vaishnav Kameswaran and Srihari Hulikal Muralidhar. 2019. Cash, Digital Payments and Accessibility: A Case Study from Metropolitan India. Proc. ACM Hum. Comput. Interact. (2019). https://doi.org/10.1145/3359199
[37]
Terrence A Ketter 2010. Diagnostic features, prevalence, and impact of bipolar disorder. J Clin Psychiatry 71, 6 (2010), e14. https://doi.org/10.4088/JCP.8125tx11c
[38]
Travis Labrum and Phyllis L Solomon. 2016. Factors associated with family violence by persons with psychiatric disorders. Psychiatry research 244 (2016), 171–178. https://doi.org/10.1016/j.psychres.2016.07.026
[39]
K. Látalová. 2009. Bipolar Disorder and Aggression. International Journal of Clinical Practice 63, 6 (2009), 889–899. https://doi.org/10.1111/j.1742-1241.2009.02001.x
[40]
Matthew L Lee and Anind K Dey. 2011. Reflecting on Pills and Phone Use: Supporting Awareness of Functional Abilities for Older Adults. (2011). https://doi.org/10.1145/1978942.1979247
[41]
Russell V. Lenth. 2023. Emmeans: Estimated Marginal Means, Aka Least-Squares Means.
[42]
Stephen J Lepore, Bradley N Collins, Howard W Killam, and Barbara Barry. 2021. Supportive accountability and mobile app use in a tobacco control intervention targeting low-income minority mothers who smoke: Observational study. JMIR mHealth and uHealth 9, 7 (2021), e28175. https://doi.org/10.2196/28175
[43]
Makayla Lewis and Mark Perry. 2019. Follow the Money: Managing Personal Finance Digitally. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems(CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3290605.3300620
[44]
Donatella Marazziti, Giorgio Consoli, Michela Picchetti, Marina Carlini, and Luca Faravelli. 2010. Cognitive Impairment in Major Depression. European Journal of Pharmacology 626, 1 (Jan. 2010), 83–86. https://doi.org/10.1016/j.ejphar.2009.08.046
[45]
Mark Matthews, Elizabeth Murnane, and Jaime Snyder. 2017. Quantifying the Changeable Self: The Role of Self-Tracking in Coming to Terms With and Managing Bipolar Disorder. Human–Computer Interaction 32, 5-6 (Nov. 2017), 413–446. https://doi.org/10.1080/07370024.2017.1294983
[46]
Mark Matthews, Elizabeth Murnane, Jaime Snyder, Shion Guha, Pamara Chang, Gavin Doherty, and Geri Gay. 2017. The Double-Edged Sword: A Mixed Methods Study of the Interplay between Bipolar Disorder and Technology Use. Computers in Human Behavior 75 (Oct. 2017), 288–300. https://doi.org/10.1016/j.chb.2017.05.009
[47]
Lotte Meteyard and Robert A. I. Davies. 2020. Best Practice Guidance for Linear Mixed-Effects Models in Psychological Science. Journal of Memory and Language 112 (June 2020), 104092. https://doi.org/10.1016/j.jml.2020.104092
[48]
Emma Morton, Jennifer Nicholas, Laura Lapadat, Heather L O’Brien, Steven J Barnes, Caden Poh, and Erin E Michalak. 2021. Use of smartphone apps in bipolar disorder: an international web-based survey of feature preferences and privacy concerns. Journal of Affective Disorders 295 (2021), 1102–1109. https://doi.org/10.1016/j.jad.2021.08.132
[49]
Marcin Moskalewicz and Michael A. Schwartz. 2020. Temporal Experience in Mania. Phenomenology and the Cognitive Sciences 19, 2 (April 2020), 291–304. https://doi.org/10.1007/s11097-018-9564-0
[50]
Elizabeth L Murnane, Yekaterina S Glazko, Jean Costa, Raymond Yao, Grace Zhao, Paula ML Moya, and James A Landay. 2023. Narrative-Based Visual Feedback to Encourage Sustained Physical Activity: A Field Trial of the WhoIsZuki Mobile Health Platform. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, 1 (2023), 1–36. https://doi.org/10.1145/3580786
[51]
Elizabeth L. Murnane, Tara G. Walker, Beck Tench, Stephen Voida, and Jaime Snyder. 2018. Personal Informatics in Interpersonal Contexts: Towards the Design of Technology That Supports the Social Ecologies of Long-Term Mental Health Management. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (Nov. 2018), 127:1–127:27. https://doi.org/10.1145/3274396
[52]
Christopher J. L. Murray (Ed.). 1996. The Global Burden of Disease: Summary; a Comprehensive Assessment of Mortality and Disability from Diseases, Injuries, and Risk Factors in 1990 and Projected to 2020. World Health Organization, Geneve.
[53]
George Nabeshima and Bradley T Klontz. 2015. Cognitive-behavioral financial therapy. In Financial Therapy. Springer, 143–159. https://doi.org/10.1007/978-3-319-08269-1_9
[54]
Claudia L. Nau, Jordan M. Braciszewski, Rebecca C. Rossom, Robert B. Penfold, Karen J. Coleman, Gregory E. Simon, Benjamin Hong, Ariadna Padilla, Rebecca K. Butler, Aiyu Chen, and Heidi C. Waters. 2023. Assessment of Disruptive Life Events for Individuals Diagnosed With Schizophrenia or Bipolar I Disorder Using Data From a Consumer Credit Reporting Agency. JAMA Psychiatry (May 2023). https://doi.org/10.1001/jamapsychiatry.2023.1179
[55]
Andrew A. Neath and Joseph E. Cavanaugh. 2012. The Bayesian Information Criterion: Background, Derivation, and Applications. WIREs Computational Statistics 4, 2 (2012), 199–203. https://doi.org/10.1002/wics.199
[56]
Helen Nissenbaum. 2004. Privacy as Contextual Integrity. 79 (2004), 119.
[57]
Gordon Parker, Stacey McCraw, and Kathryn Fletcher. 2012. Cyclothymia. Depression and Anxiety 29, 6 (2012), 487–494. https://doi.org/10.1002/da.21950
[58]
Mark Perry and Jennifer Ferreira. 2018. Moneywork: Practices of Use and Social Interaction around Digital and Analog Money. ACM Transactions on Computer-Human Interaction (2018). https://doi.org/10.1145/3162082
[59]
Justin Petelka, Lucy Van Kleunen, Liam Albright, Elizabeth Murnane, Stephen Voida, and Jaime Snyder. 2020. Being (In)Visible: Privacy, Transparency, and Disclosure in the Self-Management of Bipolar Disorder. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, Honolulu HI USA, 1–14. https://doi.org/10.1145/3313831.3376573
[60]
Mary L Phillips and David J Kupfer. 2013. Bipolar disorder diagnosis: challenges and future directions. The Lancet 381, 9878 (2013), 1663–1671. https://doi.org/10.1016/S0140-6736(13)60989-7
[61]
Almudena Ramírez-Martín, Javier Ramos-Martín, Fermin Mayoral-Cleries, Berta Moreno-Küstner, and Jose Guzman-Parra. 2020. Impulsivity, Decision-Making and Risk-Taking Behaviour in Bipolar Disorder: A Systematic Review and Meta-Analysis. Psychological Medicine 50, 13 (Oct. 2020), 2141–2153. https://doi.org/10.1017/S0033291720003086
[62]
M. Reinares, C.M. Bonnín, D. Hidalgo-Mazzei, J. Sánchez-Moreno, F. Colom, and E. Vieta. 2016. The Role of Family Interventions in Bipolar Disorder: A Systematic Review. Clinical Psychology Review 43 (Feb. 2016), 47–57. https://doi.org/10.1016/j.cpr.2015.11.010
[63]
María Reinares, José Sánchez-Moreno, and Konstantinos N. Fountoulakis. 2014. Psychosocial Interventions in Bipolar Disorder: What, for Whom, and When. Journal of Affective Disorders 156 (March 2014), 46–55. https://doi.org/10.1016/j.jad.2013.12.017
[64]
Thomas Richardson, Peter Elliott, and Ronald Roberts. 2013. The Relationship between Personal Unsecured Debt and Mental and Physical Health: A Systematic Review and Meta-Analysis. Clinical Psychology Review 33, 8 (Dec. 2013), 1148–1162. https://doi.org/10.1016/j.cpr.2013.08.009
[65]
Thomas Richardson, Megan Jansen, and Chris Fitch. 2021. Financial Difficulties in Bipolar Disorder Part 2: Psychological Correlates and a Proposed Psychological Model. Journal of Mental Health 30, 1 (Jan. 2021), 3–11. https://doi.org/10.1080/09638237.2019.1581350
[66]
Thomas Richardson, Megan Jansen, Wendy Turton, and Lorraine Bell. 2017. The Relationship between Bipolar Disorder and Financial Difficulties: A Qualitative Exploration of Client’s Views. Clinical Psychology Forum (Feb. 2017).
[67]
Rúben Gouveia, Evangelos Karapanos, and Marc Hassenzahl. 2018. Activity Tracking in Vivo. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, Montreal QC Canada, 1–13. https://doi.org/10.1145/3173574.3173936
[68]
Shruti Sannon and Andrea Forte. 2022. Privacy research with marginalized groups: what we know, what’s needed, and what’s next. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (2022), 1–33. https://doi.org/10.1145/3555556
[69]
Nicola Sharp-Jeffs 2015. A review of research and policy on financial abuse within intimate partner relationships. (2015). https://repository.londonmet.ac.uk/1482/
[70]
Nathan D Shippee, Nilay D Shah, Mark D Williams, James P Moriarty, Mark A Frye, and Jeanette Y Ziegenfuss. 2011. Differences in demographic composition and in work, social, and functional limitations among the populations with unipolar depression and bipolar disorder: results from a nationally representative sample. Health and Quality of Life Outcomes 9 (2011), 1–9. https://doi.org/10.1186/1477-7525-9-90
[71]
Henning Silber, Frederic Gerdon, Ruben Bach, Christoph Kern, Florian Keusch, and Frauke Kreuter. 2021. A Vignette Experiment on Determinants of Health Data Sharing Behavior. (Aug. 2021). https://doi.org/10.17605/OSF.IO/P6H7J
[72]
Farah Tahsin, Tujuanna Austin, Brian McKinstry, Stewart W Mercer, Mayura Loganathan, Kednapa Thavorn, Ross Upshur, and Carolyn Steele Gray. 2022. Examining use behavior of a goal-supporting mHealth App in primary care among patients with multiple chronic conditions: qualitative descriptive study. JMIR Human Factors 9, 4 (2022), e37684. https://doi.org/10.2196/37684
[73]
Steven D. Targum. 1981. The Family Attitudes Questionnaire: Patients’ and Spouses’ Views of Bipolar Illness. Archives of General Psychiatry 38, 5 (May 1981), 562. https://doi.org/10.1001/archpsyc.1980.01780300074009
[74]
Leonardo Tondo, Alessandro Miola, Marco Pinna, Martina Contu, and Ross J. Baldessarini. 2022. Differences between Bipolar Disorder Types 1 and 2 Support the DSM Two-Syndrome Concept. International Journal of Bipolar Disorders 10, 1 (Dec. 2022), 1–11. https://doi.org/10.1186/s40345-022-00268-2
[75]
Christine Utz, Steffen Becker, Theodor Schnitzler, Florian M. Farke, Franziska Herbert, Leonie Schaewitz, Martin Degeling, and Markus Dürmuth. 2021. Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama Japan, 1–22. https://doi.org/10.1145/3411764.3445517
[76]
Sheri Van Dijk, Janet Jeffrey, and Mark R Katz. 2013. A randomized, controlled, pilot study of dialectical behavior therapy skills in a psychoeducational group for individuals with bipolar disorder. Journal of Affective Disorders 145, 3 (2013), 386–393. https://doi.org/10.1016/j.jad.2012.05.054
[77]
Bert Vandenberghe, Jasper Vanhoof, Roos Voorend, David Geerts, and Fabienne Dobbels. 2018. The ’Self’ as Barrier for Self-Management Technologies in Healthcare?. In Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare(PervasiveHealth ’18). Association for Computing Machinery, New York, NY, USA, 336–346. https://doi.org/10.1145/3240925.3240974
[78]
Cesko C Voeten. 2019. Using ‘buildmer’ to Automatically Find & Compare Maximal (Mixed) Models. https://cran.r-project.org/web/packages/buildmer/vignettes/buildmer.html
[79]
Tianyi Zhang, Nathaniel P Morris, Dale E McNiel, and Renée Binder. 2023. Elder Financial Exploitation in the Digital Age.The Journal of the American Academy of Psychiatry and the Law (2023), JAAPL–220047. https://doi.org/10.29158/JAAPL.220047-21
[80]
Alain F. Zuur, Elena N. Ieno, Neil J. Walker, Anatoly A. Saveliev, and Graham M. Smith. 2009. Mixed Effects Modelling for Nested Data. In Mixed Effects Models and Extensions in Ecology with R, Alain F. Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, and Graham M. Smith (Eds.). Springer, New York, NY, 101–142. https://doi.org/10.1007/978-0-387-87458-6_5
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