ReviewCurrent HIV/AIDS reports2018
Health Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review.
Review in Current HIV/AIDS reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Behavioral Determinants and Effectiveness of Digital Behavior Change Interventions for the Prevention of Sexually Transmitted Infections and HIV: Overview of Systematic Reviews.Journal of medical Internet research · 2026Pooled it
- Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Behavioral Theories and Motivational Features Underlying eHealth Interventions for Adolescent Antiretroviral Adherence: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Using Digital Communication Technology to Increase HIV Testing Among Men Who Have Sex With Men and Transgender Women: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2020Pooled it
- Trial
- Fidelity of an Online Telecoaching Community-Based Exercise Intervention Among Adults Living With HIV in Toronto, Ontario, Canada: Observational Longitudinal Study.JMIR rehabilitation and assistive technologies · 2026Article
- Construction of an e-Health Literacy Program for Patients with Obstructive Sleep Apnea-Hypopnea Syndrome Based on Integrative Model of eHealth Use.Nature and science of sleep · 2026Article
- Article
- Behavioral Predictors of Intention to Use a Text Messaging Reminder System Among People Living With HIV in Rural Uganda: Survey Study.JMIR human factors · 2023Article
- Article
- Article
- Utility of Short Message Service (SMS) for Remote Data Collection for HIV in Low- and Middle-Income Countries.Current HIV/AIDS reports · 2020Review
- Mapping Canadian Men's Recent and Intended Health Behavior Changes Through the Don't Change Much Electronic Health Program.Journal of medical Internet research · 2020Article
- Engagement in mHealth behavioral interventions for HIV prevention and care: making sense of the metrics.mHealth · 2020Article
- Iterative Development of an mHealth Intervention to Support Antiretroviral Therapy Initiation and Adherence Among Female Sex Workers in Mombasa, Kenya.The Journal of the Association of Nurses in AIDS Care : JANACArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
purpose of reviewOptimal design and evaluation of eHealth interventions requires the specification of behavioral targets and hypothesized mechanisms of action-both of which can be enhanced with the use of established health behavior theories (HBTs). In this paper, we describe the major HBTs and examine their use in studies of eHealth interventions for HIV prevention and treatment and assess the contribution of HBT in developing and evaluating eHealth interventions. RECENT
findingsBased on our review of the literature, we argue the field can benefit from more systematic selection, application, and reporting of HBT. We highlight theories specifically designed for eHealth and describe ways that HBT can be used by researchers and practitioners to improve the rigor and impact of eHealth interventions for individuals living with or at risk for HIV. This brief overview of HBTs and their application to eHealth intervention in HIV research has underscored the importance of a theoretically intentional approach. The theory should be used to inform the design of the eHealth intervention; the intervention should not determine the theory. A theory-driven iterative model of eHealth intervention development may not only improve our repertoire of effective strategies but also has the potential to expand our theoretical and empirical knowledge of health behavior change.
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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.