Evidence map›Paper›PMID 29650504›Full record

ArticleJMIR mHealth and uHealth2018

Interactive Two-Way mHealth Interventions for Improving Medication Adherence: An Evaluation Using The Behaviour Change Wheel Framework.

Nicole Chiang, Michael Guo, K Rivet Amico, Lou Atkins, Richard T Lester

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05633056 (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), which is not on this map. Cited by 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 pooled it
12.8field-weighted citation impact, top 1% of its field
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.

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
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 5 syntheses or guidelines pooled it, 74 citations in OpenAlex.

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  19. User-centered adaption ofAIDS care · 2025
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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

5 authors at 3 institutions in 3 countries.

Nicole Chiang *Independent Researcher, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-5002-560X
Michael Guo *Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0003-1723-3321
K Rivet AmicoResearch Associate Professor, Department of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-4458-6934
Lou AtkinsCentre for Behaviour Change, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-9322-7869
Richard T LesterDivision of Infectious Diseases, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0003-1759-2236
University of British Columbia · CAUniversity College London · GBUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication adherence is an important but highly complex set of behaviors, which for life-threatening and infectious diseases such as HIV carry critical consequences for individual and public health. There is growing evidence that mobile phone text messaging interventions (mHealth) connecting providers with patients positively impact medication adherence, particularly two-way engagement platforms that require bidirectional communication versus one-way in which responses are not mandatory. However, mechanisms of action have not been well defined. The Behavior Change Wheel is a comprehensive framework for behavior change that includes an all-encompassing model of behavior known as Capability Opportunity Motivation-Behavior and is complemented by a taxonomy of behavior change techniques. Evaluating mHealth interventions for medication adherence using these tools could provide useful insights that may contribute to optimizing their integration into the healthcare system and successful scaling-up.

objectiveThis study aimed to help address the current knowledge gap regarding how two-way mHealth interventions for medication adherence may work by applying the Behavior Change Wheel to characterize WelTel: an interactive digital health outreach platform with robust evidence for improving adherence to antiretroviral therapy.

methodsTo characterize how WelTel may promote medication adherence, we applied the Behavior Change Wheel to systematically (1) generate a behavioral diagnosis through mapping known antiretroviral therapy adherence barriers onto the Capability Opportunity Motivation-Behavior model of behavior, (2) specify the behavior change techniques that WelTel delivers, (3) link identified behavior change techniques to corresponding intervention functions of the Behavior Change Wheel, and (4) connect these behavior change techniques and intervention functions to respective Capability Opportunity Motivation-Behavior influences on behavior to determine potential mechanisms of action.

resultsOur evaluation of WelTel using the Behavior Change Wheel suggests that most of its impact is delivered primarily through its personalized communication component, in which 8 different behavior change techniques were identified and linked with 5 intervention functions (environmental restructuring, enablement, education, persuasion, and training). Its mechanisms of action in promoting antiretroviral therapy adherence may involve addressing all Capability Opportunity Motivation-Behavior influences on behavior (physical and psychological capability, physical and social opportunity, reflective and automatic motivation).

conclusionsSystematically unpacking the potential active ingredients of effective interventions facilitates the creation and implementation of more parsimonious, tailored, and targeted approaches. Evaluating WelTel using the Behavior Change Wheel has provided valuable insights into how and why such interactive two-way mHealth interventions may produce greater impact than one-way in addressing both nonintentional and intentional forms of nonadherence. The application of the Behavior Change Wheel for evidence synthesis across mHealth interventions targeting various conditions would contribute to strengthening the knowledge base regarding how they may work to impact medication adherence behavior.

Indexed as

chronic diseasedisease managementmedication adherencemHealthprimary health care

Identifiers

PMID29650504
PMCPMC5920150
OpenAlexW2798005616

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.