Evidence map›Paper›PMID 29290888›Full record

ReviewThe open AIDS journal2017

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

Vanessa Cooper, Jane Clatworthy, Jennifer Whetham, EmERGE Consortium

4 registry-linked trialsAbstract readReview
In one paragraph

Review in The open AIDS journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 94 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04998019 nacompletednot on this mapstarted 2022, after this paper: background citation

Pragmatic Efficacy Trial of mHealth to Improve HIV Outcomes in the DC Cohort

TypeinterventionalSponsorGeorge Washington UniversityRan2022 to 2025Enrolled682ConditionsHIV/AIDSArmsPositiveLinks
NCT05325476 nacompletednot on this mapstarted 2023, after this paper: background citation

Testing of the JomPrEP App for HIV Prevention Among Malaysian MSM

TypeinterventionalSponsorUniversity of ConnecticutRan2023 to 2025Enrolled268ConditionsHIV Prevention ProgramArmsJomPrEP App, Inactivated JomPrEP app
NCT05633056 narecruitingnot on this mapstarted 2023, after this paper: background citation

Adaptive Evaluation of mHealth and Conventional Adherence Support Interventions to Optimize Outcome With New Treatment Regimens for Drug-resistant Tuberculosis and HIV in South Africa

TypeinterventionalSponsorColumbia UniversityRan2023 to 2029Enrolled360ConditionsMulti Drug Resistant Tuberculosis, HIV InfectionsArmsAdherence support intevention
NCT06415357 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Adapting mHealth Interventions to Improve Self-management of HIV and Substance Use Among Emerging Adults in Zambia

TypeinterventionalSponsorUniversity of Massachusetts, WorcesterRan2024 to 2026Enrolled164ConditionsPre-Exposure ProphylaxisArmsMobile Healthy Choices (mHC), Motivational Text Messaging (MTM), Standard ART Counseling
3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Mobile phone-based interventions for improving contraception use.The Cochrane database of systematic reviews · 2023
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34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Vanessa CooperThe Lawson Unit, Brighton and Sussex University Hospitals NHS Trust, Brighton, England.
Jane ClatworthyThe Lawson Unit, Brighton and Sussex University Hospitals NHS Trust, Brighton, England.
Jennifer WhethamThe Lawson Unit, Brighton and Sussex University Hospitals NHS Trust, Brighton, England.
EmERGE ConsortiumThe Lawson Unit, Brighton and Sussex University Hospitals NHS Trust, Brighton, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-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.

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

methodEight 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.

results41 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.

conclusionSince 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.

Indexed as

HIV treatmentInformation technologymHealthMobile phoneSelf-management

Identifiers

PMID29290888
PMCPMC5730953

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.