Evidence map›Paper›PMID 39264700›Full record

ArticleJMIR human factors2024

Co-Designing Digital Health Intervention for Monitoring Medication and Consultation Among Transgender People in Underserved Communities: Collaborative Approach.

Emmanuel Oluwatosin Oluokun, Festus Fatai Adedoyin, Huseyin Dogan, Nan Jiang

Abstract read
In one paragraph

Article in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Emmanuel Oluwatosin Oluokun *Department of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole, Dorset, United Kingdom.ORCID 0009-0008-5391-4048
Festus Fatai Adedoyin *Department of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole, Dorset, United Kingdom.ORCID 0000-0002-3586-2570
Huseyin Dogan *Department of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole, Dorset, United Kingdom.ORCID 0000-0002-9138-9319
Nan Jiang *Department of Computing and Informatics, Faculty of Science and Technology, Bournemouth University, Poole, Dorset, United Kingdom.ORCID 0000-0003-1510-9888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn many parts of the world, men who have sex with men and transgender individuals face criminalization and discrimination. As a result, they are less likely to seek medical help, despite experiencing higher rates of HIV/AIDS, mental health issues, and other health problems. Reaching key populations (KPs) with essential testing, care, and treatment services can be challenging, as they often have a higher likelihood of contracting and spreading the virus. They have limited access to antiretroviral (ARV) therapy (ART) services, which means that KPs may continue to serve as reservoirs for new HIV infections if they do not receive effective HIV programming. This ongoing issue complicates efforts to control the epidemic. Therefore, modeling a digital health system to track ARV medication access and use is crucial. This paper advocates for the use of digital interventions to manage the health of KPs in underserved regions, using Nigeria as a case study.

objectiveThis study aims to assess digital health interventions for monitoring medication and consultations among transgender people in underserved communities. It also sought to determine whether a system exists that could support ART adherence in Nigeria. Additionally, the study evaluated design strategies to address privacy and confidentiality concerns, aiming to reduce nonadherence to ARV medications among KPs in Nigeria.

methodsA qualitative approach was adopted for this research, involving a thematic analysis of information collected from interviews with clinicians and other health practitioners who work directly with these communities, as well as from an interactive (virtual) workshop.

resultsThe findings from the thematic analysis indicate a need to increase attendance at ART therapy sessions through the implementation of an intensive care web app. Unlike previous solutions, this study highlights the importance of incorporating a reminder feature that integrates with an in-app telemedicine consultancy platform. This platform would facilitate discussions about client challenges, such as adverse drug effects, counseling sessions with clinical psychologists, and the impact of identity discrimination on mental health. Other data-driven health needs identified in the study are unique drug request nodes, client-led viral load calculators, remote requests, and drug delivery features within the web app. Participants also emphasized the importance of monitoring medication compliance and incorporating user feedback mechanisms, such as ratings and encouragement symbols (eg, stars, checkmarks), to motivate adherence.

conclusionsThe study concludes that technology-driven solutions could enhance ART adherence and reduce HIV transmission among transgender people. It also recommends that local governments and international organizations collaborate and invest in health management services that prioritize health needs over identity.

Indexed as

HIV InfectionsTelemedicineTransgender PersonsAdultAnti-Retroviral AgentsDigital HealthFemaleHumansMaleMedically Underserved AreaMedication AdherenceReferral and ConsultationAnti-Retroviral AgentsARTdata-driven health caredigital healthHIV/AIDS medicationinteractive managementLGTBQI+transgender

Identifiers

PMID39264700
PMCPMC11444122

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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.