Engaging youth in mHealth: what works and how can we be sure?

HIV prevention and care engagement mHealth

Journal

mHealth
ISSN: 2306-9740
Titre abrégé: Mhealth
Pays: China
ID NLM: 101678564

Informations de publication

Date de publication:
2021
Historique:
received: 30 01 2020
accepted: 12 06 2020
entrez: 26 4 2021
pubmed: 27 4 2021
medline: 27 4 2021
Statut: epublish

Résumé

Youth participating in mobile health (mHealth) intervention trials often engage with the technologies [e.g., applications (app) or mobile-optimized websites] only partially, often prematurely discontinuing use altogether. Limited engagement can impact the interventions effect on behavior change and compromise researchers' ability to test and estimate the true efficacy of their interventions. While mHealth interventions have been shown to be feasible and acceptable to youth, across diverse health conditions, strategies to increase engagement have been less well studied. Specifically, within HIV prevention and care mHealth interventions, there is not consensus as to which components represent the "key ingredients" to support maximal engagement of youth. Further, successful intervention evaluation requires the ability to systematically track users' engagement with intervention components (i.e., paradata) to evaluate its effects on behavior change. As part of the Adolescent Medicine Trials Network UNC/Emory Center for Innovative Technology (iTech) portfolio of HIV/AIDS Interventions, we present diverse strategies used across five mHealth protocols seeking to promote youth engagement, track and measure engagement through paradata, and incorporate these components into mHealth intervention evaluations. We describe the importance of defining and measuring engagement using case studies from iTech to illustrate how different research teams select mHealth features to promote youth engagement over time, taking into account features embedded in the technology design, key mechanisms of change and trial outcomes (e.g., HIV testing, pre-exposure prophylaxis uptake and adherence, HIV treatment adherence). Finally, we discuss how the research teams plan to evaluate engagement's role on their intervention's outcomes. Based on this synthesis, we discuss strategies to enhance mHealth engagement during intervention development and design, ensure its monitoring and reporting throughout the trial, and evaluate its impact on trial outcomes.

Sections du résumé

BACKGROUND BACKGROUND
Youth participating in mobile health (mHealth) intervention trials often engage with the technologies [e.g., applications (app) or mobile-optimized websites] only partially, often prematurely discontinuing use altogether. Limited engagement can impact the interventions effect on behavior change and compromise researchers' ability to test and estimate the true efficacy of their interventions. While mHealth interventions have been shown to be feasible and acceptable to youth, across diverse health conditions, strategies to increase engagement have been less well studied. Specifically, within HIV prevention and care mHealth interventions, there is not consensus as to which components represent the "key ingredients" to support maximal engagement of youth. Further, successful intervention evaluation requires the ability to systematically track users' engagement with intervention components (i.e., paradata) to evaluate its effects on behavior change.
METHODS METHODS
As part of the Adolescent Medicine Trials Network UNC/Emory Center for Innovative Technology (iTech) portfolio of HIV/AIDS Interventions, we present diverse strategies used across five mHealth protocols seeking to promote youth engagement, track and measure engagement through paradata, and incorporate these components into mHealth intervention evaluations.
RESULTS RESULTS
We describe the importance of defining and measuring engagement using case studies from iTech to illustrate how different research teams select mHealth features to promote youth engagement over time, taking into account features embedded in the technology design, key mechanisms of change and trial outcomes (e.g., HIV testing, pre-exposure prophylaxis uptake and adherence, HIV treatment adherence). Finally, we discuss how the research teams plan to evaluate engagement's role on their intervention's outcomes.
CONCLUSIONS CONCLUSIONS
Based on this synthesis, we discuss strategies to enhance mHealth engagement during intervention development and design, ensure its monitoring and reporting throughout the trial, and evaluate its impact on trial outcomes.

Identifiants

pubmed: 33898592
doi: 10.21037/mhealth-20-48
pii: mh-07-20-48
pmc: PMC8063019
doi:

Types de publication

Journal Article

Langues

eng

Pagination

23

Subventions

Organisme : NICHD NIH HHS
ID : U19 HD089881
Pays : United States

Informations de copyright

2021 mHealth. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/mhealth-20-48). The series “Technology-based Interventions in HIV Prevention and Care Continuum among American Youth” was commissioned by the editorial office without any funding or sponsorship. LHW served as the unpaid Guest Editor of the series. All authors report grants from NICHD, during the conduct of the study. The authors have no other conflicts of interest to declare.

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Auteurs

Lisa B Hightow-Weidman (LB)

Institute of Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Keith J Horvath (KJ)

Department of Psychology, San Diego State University, San Diego, CA, USA.

Hyman Scott (H)

University of California, San Francisco, CA, USA.
Department of Public Health, Bridge HIV, San Francisco, CA, USA.

Jonathan Hill-Rorie (J)

Fenway Institute, Boston, MA, USA.

Jose A Bauermeister (JA)

University of Pennsylvania, School of Nursing, Philadelphia, PA, USA.

Classifications MeSH