Evidence map›Paper›PMID 32687473›Full record

ArticleJournal of medical Internet research2020

Factors Affecting the Implementation of Electronic Antiretroviral Therapy Adherence Monitoring and Associated Interventions for Routine HIV Care in Uganda: Qualitative Study.

Jessica E Haberer, Lindsey Garrison, John Bosco Tumuhairwe, Robert Baijuka, Edna Tindimwebwa, James Tinkamanyire, Bridget F Burns, Stephen Asiimwe

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03825952 (Optimizing mHealth for Adherence Monitoring and Intervention), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.1field-weighted citation impact, top 45% 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.

NCT03825952 nacompletednot on this map

Optimizing mHealth for Adherence Monitoring and Intervention

TypeinterventionalSponsorMassachusetts General HospitalRan2018 to 2022Enrolled174ConditionsHIV/AIDSArmsMERM - medication event reminder monitor
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Jessica E HabererCenter for Global Health, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0001-5845-3190
Lindsey GarrisonCenter for Global Health, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0003-2384-4399
John Bosco TumuhairweKabwohe Clinical Research Centre, Kabwohe, Uganda.ORCID 0000-0003-2132-6758
Robert BaijukaKabwohe Clinical Research Centre, Kabwohe, Uganda.ORCID 0000-0002-9024-2358
Edna TindimwebwaKabwohe Clinical Research Centre, Kabwohe, Uganda.ORCID 0000-0003-4255-2818
James TinkamanyireKabwohe Clinical Research Centre, Kabwohe, Uganda.ORCID 0000-0001-8893-0912
Bridget F BurnsDepartment of Urban Studies and Planning, Massachusetts Institute of Technology, Boston, MA, United States.ORCID 0000-0002-7517-0130
Stephen AsiimweKabwohe Clinical Research Centre, Kabwohe, Uganda.ORCID 0000-0001-6440-0036
Harvard University · USMassachusetts General Hospital · USMassachusetts Institute of Technology · US

Funding

Optimizing mHealth for adherence monitoring and interventionK24MH114732 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HABERER, JESSICA ELIZABETH · 2017 to 2021
$800k
NIMH NIH HHS K24 MH114732
6 · The paper itself

Abstract

backgroundHigh, sustained adherence to HIV antiretroviral therapy (ART) is critical for achieving viral suppression, which in turn leads to important individual health benefits and reduced secondary viral transmission. Electronic adherence monitors record a date-and-time stamp with each opening as a proxy for pill-taking behavior. These monitors can be combined with interventions (eg, data-informed adherence counseling, SMS-based adherence support, and/or alarms) and have been shown to improve adherence in multiple settings. Their use, however, has largely been limited to the research context.

objectiveThe goal of the research was to use the Consolidated Framework for Implementation Research (CFIR) to understand factors relevant for implementing a low-cost electronic adherence monitor and associated interventions for routine HIV clinical care in Uganda.

methodsWe conducted in-depth qualitative interviews with health care administrators, clinicians, and ART clients about likes and dislikes of the features and functions of electronic adherence monitors and associated interventions, their potential to influence HIV care, suggestions on how to measure their value, and recommendations for their use in routine care. We used an inductive, content analysis approach to understand participant perspectives, identifying aspects of CFIR most relevant to technology implementation in this setting.

resultsWe interviewed 34 health care administrators/clinicians and 15 ART clients. Participants largely saw the monitors and associated interventions as favorable and beneficial for supporting adherence and improving clinical outcomes through efficient, differentiated care. Relevant outside factors included structural determinants of health, international norms around supporting adherence, and limited funding that necessitates careful assessment of costs and benefits. Within the clinic, the adherence data were felt likely to improve the quality of counseling and thereby morale, as well as increase the efficiency of care delivery. Existing infrastructure and care expenditures and the need for proper training were other noted considerations. At the individual level, the desire for good health and a welcomed pressure to adhere favored uptake of the monitors, although some participants were concerned with clients not using the monitors as planned and the influence of poverty, stigma, and need for privacy. Finally, participants felt that decisions around the implementation process would have to come from the Ministry of Health and other funders and would be influenced by sustainability of the technology and the target population for its use. Coordination across the health care system would be important for implementation.

conclusionsLow-cost electronic adherence monitoring combined with data-informed counseling, SMS-based support, and/or alarms have potential for use in routine HIV care in Uganda. Key metrics of successful implementation will include their impact on efficiency of care delivery and clinical outcomes with careful attention paid to factors such as stigma and cost. Further theory-driven implementation science efforts will be needed to move promising technology from research into clinical care.

trial registrationClinicalTrials.gov NCT03825952; https://clinicaltrials.gov/ct2/show/NCT03825952.

Indexed as

Anti-Retroviral AgentsFemaleHIV InfectionsHumansMaleMedication AdherenceMiddle AgedQualitative ResearchUgandaAnti-Retroviral Agentsadherenceantiretroviral therapyelectronic monitoringimplementation science

Identifiers

PMID32687473
PMCPMC7516683
OpenAlexW3038081979

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.