Literature DB >> 28771449

Using technology to assess and intervene with illicit drug-using persons at risk for HIV.

Keith J Horvath1, Sara Lammert, Sara LeGrand, Kathryn E Muessig, José A Bauermeister.   

Abstract

PURPOSE OF REVIEW: This review describes recent literature on novel ways technology is used for assessment of illicit drug use and HIV risk behaviours, suggestions for optimizing intervention acceptability, and recently completed and ongoing technology-based interventions for drug-using persons at risk for HIV and others with high rates of drug use and HIV risk behaviour. RECENT
FINDINGS: Among studies (n = 5) comparing technology-based to traditional assessment methods, those using Ecological Momentary Assessment (EMA) had high rates of reported drug use and high concordance with traditional assessment methods. The two recent studies assessing the acceptability of mHealth approaches overall demonstrate high interest in these approaches. Current or in-progress technology-based interventions (n = 8) are delivered using mobile apps (n = 5), text messaging (n = 2) and computers (n = 1). Most intervention studies are in progress or do not report intervention outcomes; the results from one efficacy trial showed significantly higher HIV testing rates among persons in need of drug treatment.
SUMMARY: Studies are needed to continually assess technology adoption and intervention preferences among drug-using populations to ensure that interventions are appropriately matched to users. Large-scale technology-based intervention trials to assess the efficacy of these approaches, as well as the impact of individual intervention components, on drug use and other high-risk behaviours are recommended.

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Year:  2017        PMID: 28771449      PMCID: PMC5812261          DOI: 10.1097/COH.0000000000000398

Source DB:  PubMed          Journal:  Curr Opin HIV AIDS        ISSN: 1746-630X            Impact factor:   4.283


  53 in total

1.  Pilot feasibility study of Heart2HAART: a smartphone application to assist with adherence among substance users living with HIV.

Authors:  Seth Himelhoch; Julie Kreyenbuhl; Jessica Palmer-Bacon; Michael Chu; Clayton Brown; Wendy Potts
Journal:  AIDS Care       Date:  2017-01-03

Review 2.  Drug use as a driver of HIV risks: re-emerging and emerging issues.

Authors:  Nabila El-Bassel; Stacey A Shaw; Anindita Dasgupta; Steffanie A Strathdee
Journal:  Curr Opin HIV AIDS       Date:  2014-03       Impact factor: 4.283

3.  Factors Associated with Alcohol Use Before or During Sex Among Men Who Have Sex with Men in a Large Internet Sample from Asia.

Authors:  Cui Yang; Thomas E Guadamuz; Sin How Lim; Stuart Koe; Chongyi Wei
Journal:  LGBT Health       Date:  2015-03-10       Impact factor: 4.151

4.  Examining the efficacy of a computer facilitated HIV prevention tool in drug court.

Authors:  David S Festinger; Karen L Dugosh; Ann E Kurth; David S Metzger
Journal:  Drug Alcohol Depend       Date:  2016-02-27       Impact factor: 4.492

5.  Factors associated with patterns of mobile technology use among persons who inject drugs.

Authors:  Kelly M Collins; Richard F Armenta; Jazmine Cuevas-Mota; Lin Liu; Steffanie A Strathdee; Richard S Garfein
Journal:  Subst Abus       Date:  2016-04-19       Impact factor: 3.716

6.  Determinants of recent HIV infection among Seattle-area men who have sex with men.

Authors:  Hanne Thiede; Richard A Jenkins; James W Carey; Rebecca Hutcheson; Katherine K Thomas; Ronald D Stall; Edward White; Iris Allen; Roberto Mejia; Matthew R Golden
Journal:  Am J Public Health       Date:  2008-04-29       Impact factor: 9.308

7.  Uptake and Acceptability of Information and Communication Technology in a Community-Based Cohort of People Who Inject Drugs: Implications for Mobile Health Interventions.

Authors:  Andrew Genz; Gregory Kirk; Damani Piggott; Shruti H Mehta; Beth S Linas; Ryan P Westergaard
Journal:  JMIR Mhealth Uhealth       Date:  2015-06-25       Impact factor: 4.773

8.  Creating Effective Mobile Phone Apps to Optimize Antiretroviral Therapy Adherence: Perspectives From Stimulant-Using HIV-Positive Men Who Have Sex With Men.

Authors:  Keith J Horvath; Dawit Alemu; Thu Danh; Jason V Baker; Adam W Carrico
Journal:  JMIR Mhealth Uhealth       Date:  2016-04-15       Impact factor: 4.773

9.  The exposure assessment in current time study: implementation, feasibility, and acceptability of real-time data collection in a community cohort of illicit drug users.

Authors:  Gregory D Kirk; Beth S Linas; Ryan P Westergaard; Damani Piggott; Robert C Bollinger; Larry W Chang; Andrew Genz
Journal:  AIDS Res Treat       Date:  2013-11-06

10.  The effect of bundling medication-assisted treatment for opioid addiction with mHealth: study protocol for a randomized clinical trial.

Authors:  David H Gustafson; Gina Landucci; Fiona McTavish; Rachel Kornfield; Roberta A Johnson; Marie-Louise Mares; Ryan P Westergaard; Andrew Quanbeck; Esra Alagoz; Klaren Pe-Romashko; Chantelle Thomas; Dhavan Shah
Journal:  Trials       Date:  2016-12-12       Impact factor: 2.279

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  9 in total

Review 1.  Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review.

Authors:  Jane M Simoni; Keshet Ronen; Frances M Aunon
Journal:  Curr HIV/AIDS Rep       Date:  2018-12       Impact factor: 5.071

2.  A systematic review of mHealth interventions for HIV prevention and treatment among gay, bisexual, and other men who have sex with men.

Authors:  Kimberly M Nelson; Nicholas S Perry; Keith J Horvath; Laramie R Smith
Journal:  Transl Behav Med       Date:  2020-10-12       Impact factor: 3.046

3.  A Pilot Study of a Mobile App to Support HIV Antiretroviral Therapy Adherence Among Men Who Have Sex with Men Who Use Stimulants.

Authors:  Keith J Horvath; Sara Lammert; Richard F MacLehose; Thu Danh; Jason V Baker; Adam W Carrico
Journal:  AIDS Behav       Date:  2019-11

4.  Thrive With Me: Protocol for a Randomized Controlled Trial to Test a Peer Support Intervention to Improve Antiretroviral Therapy Adherence Among Men Who Have Sex With Men.

Authors:  Keith J Horvath; K Rivet Amico; Darin Erickson; Alexandra M Ecklund; Aldona Martinka; James DeWitt; Jeffery McLaughlin; Jeffrey T Parsons
Journal:  JMIR Res Protoc       Date:  2018-05-31

5.  Sociodemographic and Behavioral Factors Associated with HIV Vulnerability according to Sexual Orientation.

Authors:  Maria Aparecida A O Serra; Antoninho B Milhomem; Samae B Oliveira; Francisca Aline A S Santos; Roberta Araújo E Silva; Ana Cristina P J Costa; Maria da Conceição S O Cunha; Antônio Uelton A Silva; Roberto Wagner J F Freitas; Márcio Flávio M Araújo
Journal:  AIDS Res Treat       Date:  2020-01-24

6.  Video directly observed therapy intervention using a mobile health application among opioid use disorder patients receiving office-based buprenorphine treatment: protocol for a pilot randomized controlled trial.

Authors:  Zachery A Schramm; Brian G Leroux; Andrea C Radick; Alicia S Ventura; Jared W Klein; Jeffrey H Samet; Andrew J Saxon; Theresa W Kim; Judith I Tsui
Journal:  Addict Sci Clin Pract       Date:  2020-07-31

7.  Uncovering a Role for Electronic Personal Health Records in Reducing Disparities in Sexually Transmitted Infection Rates Among Students at a Predominantly African American University: Mixed-Methods Study.

Authors:  Kevon-Mark Jackman; Stefan David Baral; Lisa Hightow-Weidman; Tonia Poteat
Journal:  JMIR Med Inform       Date:  2018-07-12

Review 8.  Integrated Models of Care for Individuals with Opioid Use Disorder: How Do We Prevent HIV and HCV?

Authors:  Katherine M Rich; Joshua Bia; Frederick L Altice; Judith Feinberg
Journal:  Curr HIV/AIDS Rep       Date:  2018-06       Impact factor: 5.071

9.  A Systematic Review of Technology-Assisted HIV Testing Interventions.

Authors:  Keith J Horvath; Teresa Walker; Linda Mireles; Jose A Bauermeister; Lisa Hightow-Weidman; Rob Stephenson
Journal:  Curr HIV/AIDS Rep       Date:  2020-08       Impact factor: 5.495

  9 in total

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