mHealth and social mediation: Mobile support among stigmatized people living with HIV and substance use disorder

The social mediation role of mobile technology is typified by mHealth apps designed to connect individuals to others and support substance use disorder (SUD) recovery. In this study, we examined the use and utility of one such app designed to support people living with HIV (PLWH) and SUD. Drawing on Ling’s emphasis on reciprocity and micro-coordination in mobile telephony as a social mediation technology, we gathered digital trace data from app logs to construct two metrics, initiation (i.e. whether a particular feature is engaged on a given day) and intensity (i.e. degree of involvement in the activity when engaged on that day), at three levels of communication—networked (one-to-many), dyadic (one-to-one), and intraindividual (self-to-self). We consider these system features alongside use of information resources, games and relaxation links, a meeting and events calendar, and support tools to address use urges. We found few differences in patterns of use by race, sex, and age, though African Americans were less likely to engage in intraindividual expression, whereas women and older users were more likely to make use of this feature. The initiation and intensity of network and dyadic reception, as well as the intensity of network expression, predicts recovery outcomes as measured on a weekly “check-in” survey, suggesting the utility of mobile log data for digital phenotyping in mHealth. By implementing this app during the COVID-19 pandemic, the study also found the disruption caused by national lockdown was negatively related to the app use.

[1]  Dhavan V. Shah,et al.  Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study , 2021, JMIR research protocols.

[2]  M. Gandhi,et al.  Drug Overdose Deaths Before and After Shelter-in-Place Orders During the COVID-19 Pandemic in San Francisco , 2021, JAMA network open.

[3]  E. Fields,et al.  Same script, different viruses: HIV and COVID-19 in US Black communities , 2021, The Lancet.

[4]  Dhavan V. Shah,et al.  Effect of an mHealth Intervention on Hepatitis C Testing Uptake Among People With Opioid Use Disorder: Randomized Controlled Trial , 2021, JMIR mHealth and uHealth.

[5]  Richard Ling,et al.  THIS IS NOT A DRILL: Mobile Telephony, Information Verification, and Expressive Communication During Hawaii’s False Missile Alert , 2021 .

[6]  Dhavan V. Shah,et al.  Effects of Web-Based Social Connectedness on Older Adults’ Depressive Symptoms: A Two-Wave Cross-Lagged Panel Study , 2020, Journal of medical Internet research.

[7]  Dhavan V. Shah,et al.  Intraindividual, Dyadic, and Network Communication in a Digital Health Intervention: Distinguishing Message Exposure from Message Production , 2020, Health communication.

[8]  Dhavan V. Shah,et al.  Potential Influences of the COVID-19 Pandemic on Drug Use and HIV Care Among People Living with HIV and Substance Use Disorders: Experience from a Pilot mHealth Intervention , 2020, AIDS and Behavior.

[9]  M. Mello,et al.  Ethics and governance for digital disease surveillance , 2020, Science.

[10]  Scott W. Campbell,et al.  Cutting the Cord: Social and Scholarly Revolutions as CMC Goes Mobile , 2020, J. Comput. Mediat. Commun..

[11]  S. Woods,et al.  Neurocognitive Functioning is Associated with Self-Reported and Performance-Based Treatment Management Abilities in People Living with HIV with Low Health Literacy. , 2020, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[12]  Dhavan V. Shah,et al.  The temporal turn in communication research: time series analyses sing computational approaches , 2019 .

[13]  Rebecca J Bartlett Ellis,et al.  Building the case for actionable ethics in digital health research supported by artificial intelligence , 2019, BMC Medicine.

[14]  N. Volkow,et al.  Management of opioid use disorder in the USA: present status and future directions , 2019, The Lancet.

[15]  Mardge H. Cohen,et al.  Longitudinal association between internalized HIV stigma and antiretroviral therapy adherence for women living with HIV: the mediating role of depression , 2019, AIDS.

[16]  Dhavan V. Shah,et al.  What Do You Say Before You Relapse? How Language Use in a Peer-to-peer Online Discussion Forum Predicts Risky Drinking among Those in Recovery , 2018, Health communication.

[17]  Rich Ling,et al.  Mobile phones and patient referral in Thai rural healthcare: a structuration view , 2018, Information, Communication & Society.

[18]  Dhavan V. Shah,et al.  Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum , 2018, Journal of medical Internet research.

[19]  Ralf De Wolf,et al.  Mobile media and social space : how anytime, anyplace connectivity structures everyday life , 2018 .

[20]  Dhavan V. Shah,et al.  Implementing a Mobile Health System to Integrate the Treatment of Addiction Into Primary Care: A Hybrid Implementation-Effectiveness Study , 2018, Journal of medical Internet research.

[21]  Dhavan V. Shah,et al.  Predicting changes in giving and receiving emotional support within a smartphone-based alcoholism support group , 2018, Comput. Hum. Behav..

[22]  Dean C. Barnlund,et al.  A Transactional Model of Communication , 2017 .

[23]  Dhavan V. Shah,et al.  Expression and Reception: An Analytic Method for Assessing Message Production and Consumption in CMC , 2017, Communication methods and measures.

[24]  Rui Wang,et al.  Using Smartphones to Collect Behavioral Data in Psychological Science , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.

[25]  Rich Ling,et al.  Microcoordination 2.0: Social Coordination in the Age of Smartphones and Messaging Apps , 2016 .

[26]  D. Ben-Zeev,et al.  mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge , 2016, JMIR mental health.

[27]  John Torous,et al.  New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research , 2016, JMIR mental health.

[28]  Dhavan V. Shah Conversation is the soul of democracy: Expression effects, communication mediation, and digital media , 2016 .

[29]  S. Rauch,et al.  Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health , 2016, Neuropsychopharmacology.

[30]  Bulent Turan,et al.  How Does Stigma Affect People Living with HIV? The Mediating Roles of Internalized and Anticipated HIV Stigma in the Effects of Perceived Community Stigma on Health and Psychosocial Outcomes , 2016, AIDS and Behavior.

[31]  Michael Chan,et al.  Mobile phones and the good life: Examining the relationships among mobile use, social capital and subjective well-being , 2015, New Media Soc..

[32]  Adriana de Souza e Silva,et al.  Mobility and locative media : mobile communication in hybrid spaces , 2015 .

[33]  Jasmine Travers,et al.  mHealth Technology as a Persuasive Tool for Treatment, Care and Management of Persons Living with HIV , 2015, AIDS and Behavior.

[34]  M. Välimäki,et al.  Use of Mobile Phone Text Message Reminders in Health Care Services: A Narrative Literature Review , 2014, Journal of medical Internet research.

[35]  Dhavan V. Shah,et al.  A smartphone application to support recovery from alcoholism: a randomized clinical trial. , 2014, JAMA psychiatry.

[36]  Robert E. Kraut,et al.  Growing closer on facebook: changes in tie strength through social network site use , 2014, CHI.

[37]  Dhavan V. Shah,et al.  How Can Research Keep Up With eHealth? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research , 2014, Journal of medical Internet research.

[38]  D. Gustafson,et al.  Predictive modeling of addiction lapses in a mobile health application. , 2014, Journal of substance abuse treatment.

[39]  Bruce Neal,et al.  Rethinking the Dose-Response Relationship Between Usage and Outcome in an Online Intervention for Depression: Randomized Controlled Trial , 2013, Journal of medical Internet research.

[40]  James R McKay,et al.  Development and initial evaluation of the Brief Addiction Monitor (BAM). , 2013, Journal of substance abuse treatment.

[41]  Richard Ling,et al.  Taken for Grantedness: The Embedding of Mobile Communication into Society , 2012 .

[42]  Natalya N. Bazarova Public Intimacy: Disclosure Interpretation and Social Judgments on Facebook , 2012 .

[43]  A. Caliendo,et al.  Use of dietary supplements among people living with HIV/AIDS is associated with vulnerability to medical misinformation on the internet , 2012, AIDS Research and Therapy.

[44]  S. Greenberg,et al.  The Psychology of Everyday Things , 2012 .

[45]  Scott W. Campbell,et al.  Mobile Phones Bridging the Digital Divide for Teens in the US? , 2011, Future Internet.

[46]  Tony Liao,et al.  Mobile Geotagging: Reexamining Our Interactions with Urban Space , 2011, J. Comput. Mediat. Commun..

[47]  Nojin Kwak,et al.  Mobile communication and social capital: an analysis of geographically differentiated usage patterns , 2010, New Media Soc..

[48]  H. Hermanns,et al.  Mobile Democracy: Mobile Phones as Democratic Tools , 2008 .

[49]  Richard Ling New Tech, New Ties: How Mobile Communication Is Reshaping Social Cohesion , 2008 .

[50]  Raymond J. Pingree How Messages Affect Their Senders: A More General Model of Message Effects and Implications for Deliberation , 2007 .

[51]  William C Miller,et al.  Sexual and drug behavior patterns and HIV and STD racial disparities: the need for new directions. , 2007, American journal of public health.

[52]  J. Frattaroli Experimental disclosure and its moderators: a meta-analysis. , 2006, Psychological bulletin.

[53]  Christian Licoppe,et al.  ‘Connected’ Presence: The Emergence of a New Repertoire for Managing Social Relationships in a Changing Communication Technoscape , 2004 .

[54]  Michael T. Turvey,et al.  The ecological approach to perception , 2002 .

[55]  R. Hiemstra Uses and benefits of journal writing , 2001 .

[56]  Michael C. Fiore,et al.  A Clinical Practice Guideline for Treating Tobacco Use and Dependence A US Public Health Service Report , 2000 .

[57]  J. Pennebaker Writing About Emotional Experiences as a Therapeutic Process , 1997 .

[58]  D. Rucinski The Nature and Origins of Mass Opinion. , 1994 .

[59]  Larry M. Bartels Messages Received: The Political Impact of Media Exposure , 1993, American Political Science Review.

[60]  S. Sontag Illness as metaphor ; and, AIDS and its metaphors , 1990 .

[61]  Alan H. Wurtzel,et al.  Latent Functions of the Telephone: What Missing the Extension Means. , 1976 .

[62]  I. Rosenstock The Health Belief Model and Preventive Health Behavior , 1974 .

[63]  Eugene Kamenka,et al.  Gemeinschaft and Gesellschaft , 1965 .