REVIEW ARTICLE


mHealth Interventions To Support Self-Management In HIV: A Systematic Review



Vanessa Cooper, Jane Clatworthy, Jennifer Whetham*, EmERGE Consortium
The Lawson Unit, Brighton and Sussex University Hospitals NHS Trust, Brighton, England


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Creative Commons License
© 2017 Cooper et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the The Lawson Unit, Brighton and Sussex University Hospitals NHS Trust, Eastern Road, Brighton BN2 1HS, England; Tel: 01273 664722; Fax: 01273664720; E-mail: jennifer.whetham@bsuh.nhs.uk


Abstract

Background:

Self-management is an important aspect of long-term HIV treatment. Mobile technologies offer the potential to efficiently deliver interventions to facilitate HIV self-management. The last comprehensive review of such mHealth interventions was conducted in 2011. Given the rapidly evolving field, a need was identified for an updated review of the literature.

Objective:

The study aimed to describe and evaluate current evidence-based mHealth interventions to support self-management in HIV.

Method:

Eight online databases (Medline, Scopus, Embase, PsycINFO, Cochrane, Global Health CAB, IEEE explore, Web of Science) were systematically searched for papers describing and evaluating mHealth HIV self-management interventions. Reference lists of relevant papers were also searched. Data on intervention content and evaluation methodology were extracted and appraised by two researchers.

Results:

41 papers were identified evaluating 28 interventions. The majority of these interventions (n=20, 71%) had a single focus of either improving adherence (n=16), increasing engagement in care (n=3) or supporting smoking cessation (n=1), while just 8 (29%) were more complex self-management interventions, targeting a range of health-related behaviours. Interventions were predominantly delivered through SMS messaging. They significantly impacted on a range of outcomes including adherence, viral load, mental health and social support.

Conclusion:

Since the last major review of mHealth interventions in HIV, there has been a shift from exploratory acceptability/feasibility studies to impact evaluations. While overall the interventions impacted on a range of outcomes, they were generally limited in scope, failing to encompass many functions identified as desirable by people living with HIV. Participant incentives may limit the generalizability of findings.

Keywords: mHealth, HIV treatment, Information technology, Mobile phone, Self-management.