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      Acceptance of digital phenotyping linked to a digital pill system to measure PrEP adherence among men who have sex with men with substance use

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          Abstract

          Once-daily oral HIV pre-exposure prophylaxis (PrEP) is an effective strategy to prevent HIV, but is highly dependent on adherence. Men who have sex with men (MSM) who use substances face unique challenges maintaining PrEP adherence. Digital pill systems (DPS) allow for real-time adherence measurement through ingestible sensors. Integration of DPS technology with other digital health tools, such as digital phenotyping, may improve understanding of nonadherence triggers and development of personalized adherence interventions based on ingestion behavior. This study explored the willingness of MSM with substance use to share digital phenotypic data and interact with ancillary systems in the context of DPS-measured PrEP adherence. Adult MSM on PrEP with substance use were recruited through a social networking app. Participants were introduced to DPS technology and completed an assessment to measure willingness to participate in DPS-based PrEP adherence research, contribute digital phenotyping data, and interact with ancillary systems in the context of DPS-based research. Medical mistrust, daily worry about PrEP adherence, and substance use were also assessed. Participants who identified as cisgender male and were willing to participate in DPS-based research (N = 131) were included in this subsample analysis. Most were White (76.3%) and non-Hispanic (77.9%). Participants who reported daily PrEP adherence worry had 3.7 times greater odds (95% CI: 1.03, 13.4) of willingness to share biometric data via a wearable device paired to the DPS. Participants with daily PrEP adherence worry were more likely to be willing to share smartphone data (p = 0.006) and receive text messages surrounding their daily activities (p = 0.003), compared to those with less worry. MSM with substance use disorder, who worried about PrEP adherence, were willing to use DPS technology and share data required for digital phenotyping in the context of PrEP adherence measurement. Efforts to address medical mistrust can increase advantages of this technology for HIV prevention.

          Author summary

          Oral medications for HIV pre-exposure prophylaxis (PrEP) are highly efficacious in preventing HIV infection, but efficacy is closely linked with adherence. Despite the availability of PrEP, measuring adherence and responding to nonadherence events remains difficult. One possible strategy to measure PrEP adherence is using a digital pill system (DPS) that activates directly in the stomach and reports adherence events. Integrating contextual markers like smartphone digital phenotyping may enhance behavioral interventions that leverage DPS adherence data to provide PrEP adherence support. Here, we conducted a survey study through a social networking website to understand perceptions of the DPS and linked digital phenotyping among MSM with substance use on PrEP. We found that the degree of substance use did not mediate willingness to participate in research using digital phenotyping and the DPS. Individuals who worried more about PrEP adherence were more willilng to interact with the DPS and digital phenotyping techniques.

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          Most cited references23

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          Cabotegravir for HIV Prevention in Cisgender Men and Transgender Women

          Safe and effective long-acting injectable agents for preexposure prophylaxis (PrEP) for human immunodeficiency virus (HIV) infection are needed to increase the options for preventing HIV infection.
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            Relapse prediction in schizophrenia through digital phenotyping: a pilot study

            Among individuals diagnosed, hospitalized, and treated for schizophrenia, up to 40% of those discharged may relapse within 1 year even with appropriate treatment. Passively collected smartphone behavioral data present a scalable and at present underutilized opportunity to monitor patients in order to identify possible warning signs of relapse. Seventeen patients with schizophrenia in active treatment at a state mental health clinic in Boston used the Beiwe app on their personal smartphone for up to 3 months. By testing for changes in mobility patterns and social behavior over time as measured through smartphone use, we were able to identify statistically significant anomalies in patient behavior in the days prior to relapse. We found that the rate of behavioral anomalies detected in the 2 weeks prior to relapse was 71% higher than the rate of anomalies during other time periods. Our findings show how passive smartphone data, data collected in the background during regular phone use without active input from the subjects, can provide an unprecedented and detailed view into patient behavior outside the clinic. Real-time detection of behavioral anomalies could signal the need for an intervention before an escalation of symptoms and relapse occur, therefore reducing patient suffering and reducing the cost of care.
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              Feasibility of popular m-health technologies for activity tracking among individuals with serious mental illness.

              Obesity prevalence is nearly double among individuals with serious mental illness (SMI), including schizophrenia spectrum disorders, bipolar disorder, or major depressive disorder, compared with the general population. Emerging mobile health (m-health) technologies are increasingly available and offer the potential to support lifestyle interventions targeting weight loss, yet the practical feasibility of using these technologies in this high-risk group has not been established. We evaluated the feasibility and acceptability of popular m-health technologies for activity tracking among overweight and obese individuals with SMI. We provided wearable activity monitoring devices (FitBit [San Francisco, CA] Zip™ or Nike Inc. [Beaverton, OR] FuelBand) and smartphones (Apple [Cupertino, CA] iPhone(®) 4S) for accessing the smartphone application for each device to participants with SMI enrolled in a weight loss program. Feasibility of these devices was measured by the frequency of use over time. Acceptability was measured through qualitative follow-up interviews with participants. Ten participants with SMI wore the devices for a mean of 89% (standard deviation=13%) of the days in the study. Five participants wore the devices 100% of the time. Participants reported high satisfaction, stating the devices were easy to use, helpful for setting goals, motivational, and useful for self-monitoring. Several participants liked the social connectivity feature of the devices where they could see each other's progress on the smartphone application, noting that "friendly" competition increased motivation to be more physically active. This study supports using popular m-health technologies for activity tracking among individuals with SMI. These findings can inform the design of weight loss interventions targeting this vulnerable patient population.
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                Author and article information

                Contributors
                Role: Data curationRole: InvestigationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLOS Digit Health
                PLOS Digit Health
                plos
                PLOS Digital Health
                Public Library of Science (San Francisco, CA USA )
                2767-3170
                22 February 2024
                February 2024
                : 3
                : 2
                : e0000457
                Affiliations
                [1 ] The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
                [2 ] Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
                [3 ] Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
                [4 ] Department of Computer Science and Statistics, The University of Rhode Island, Kingston, Rhode Island, United States of America
                [5 ] Department of Emergency Medicine, University of Massachusetts Chan Medical School
                [6 ] Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
                [7 ] Center for Ethics Education, Fordham University, New York City, New York, United States of America
                [8 ] Department of Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Boston, Massachusetts, United States of America
                [9 ] The Koch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
                Iran University of Medical Sciences, IRAN (ISLAMIC REPUBLIC OF)
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-0955-4117
                Article
                PDIG-D-23-00310
                10.1371/journal.pdig.0000457
                10883553
                38386618
                58dc40ec-41e7-4785-a575-96d07ed99759
                © 2024 Albrechta et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 August 2023
                : 1 February 2024
                Page count
                Figures: 1, Tables: 2, Pages: 14
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100015700, HIV and Drug Abuse Prevention Research Ethics Training Institute, Fordham University;
                Award ID: R25DA03196
                Award Recipient :
                This work was supported by the National Institutes of Health (K23DA044874 to PRC, DP2DA056107 to PRC and KV, P30AI060354 to CO and KM, T32AI007433 to TRG, and R25DA03196 to CBF and PRC). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Public and Occupational Health
                Preventive Medicine
                Prophylaxis
                Pre-Exposure Prophylaxis
                Engineering and Technology
                Equipment
                Communication Equipment
                Cell Phones
                People and Places
                Population Groupings
                Sexuality Groupings
                Men WHO Have Sex with Men
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Ingestion
                Research and Analysis Methods
                Computational Techniques
                Biometrics
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Biology and Life Sciences
                Bioengineering
                Biotechnology
                Medical Devices and Equipment
                Engineering and Technology
                Bioengineering
                Biotechnology
                Medical Devices and Equipment
                Medicine and Health Sciences
                Medical Devices and Equipment
                Medicine and health sciences
                Public and occupational health
                Preventive medicine
                HIV prevention
                Custom metadata
                Data from this study has been made available as supplementary information.

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