Evidence map›Paper›PMID 37043263›Full record

ArticleJMIR formative research2023

Digital Adherence Technologies and Mobile Money Incentives for Management of Tuberculosis Medication Among People Living With Tuberculosis: Mixed Methods Formative Study.

Angella Musiimenta, Wilson Tumuhimbise, Esther Atukunda, Aaron Mugaba, Sebastian Linnemayr, Jessica Haberer

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05656287 (My Mobile Wallet), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.1field-weighted citation impact, top 4% 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.

NCT05656287 naunknown statusnot on this map

My Mobile Wallet: An Intervention to Support Access to Tuberculosis Care and Medication Adherence in Rural Uganda

TypeinterventionalSponsorMbarara University of Science and TechnologyRan2022 to 2026Enrolled242ConditionsTuberculosisArmsSMS texts + incentives + Wisepill device for medication monitoring, SMS texts only + Wisepill device for medication monitoring, Wisepill device for medication monitoring only
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 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

6 authors at 3 institutions in 2 countries.

Angella MusiimentaFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0000-0003-1983-696X
Wilson TumuhimbiseFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0000-0003-1895-9255
Esther AtukundaFaculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0000-0002-0045-0138
Aaron MugabaFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0000-0003-4625-069X
Sebastian LinnemayrDepartment of Economics, Sociology, and Statistics, Rand Corporation, Santa Monica, CA, United States.ORCID https://orcid.org/0000-0002-6945-5279
Jessica HabererMedicine Department, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0001-5845-3190
Mbarara University of Science and Technology · UGHarvard University · USRAND Corporation · US

Funding

Optimizing mHealth for adherence monitoring and interventionK24MH114732 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HABERER, JESSICA ELIZABETH · 2017 to 2021
$800k
My Mobile Wallet: An Intervention to Support Access to Tuberculosis Care and Medication Adherence in Rural UgandaR33HD107985 · NICHD · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI MUSIIMENTA, ANGELLA · 2023 to 2025
$718k
Real time Tuberculosis Medication Adherence Intervention in Rural Southwestern UgandaK43TW010388 · FIC · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI MUSIIMENTA, ANGELLA · 2016 to 2021
$602k
Patient-centered mobile technology interventions to improve maternal health in UgandaK43TW011004 · FIC · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI ATUKUNDA, ESTHER CATHYLN · 2018 to 2022
$542k
My Mobile Wallet: An Intervention to Support Access to Tuberculosis Care and Medication Adherence in Rural UgandaR21HD107985 · NICHD · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI MUSIIMENTA, ANGELLA · 2021 to 2022
$309k
FIC NIH HHS K43 TW010388FIC NIH HHS K43 TW011004NICHD NIH HHS R21 HD107985NICHD NIH HHS R33 HD107985NIMH NIH HHS K24 MH114732
6 · The paper itself

Abstract

backgroundAlthough there is an increasing use of digital adherence technologies (DATs), such as real-time monitors and SMS reminders in tuberculosis medication adherence, suboptimal patient engagement with various DATs has been reported. Additionally, financial constraints can limit DAT's utility. The perceived usefulness and the design mechanisms of DATs linked to mobile money financial incentives for tuberculosis medication management remain unclear.

objectiveThe aim of this study is to describe the perceived usefulness and design mechanisms for a DAT intervention called My Mobile Wallet, which is composed of real-time adherence monitors, SMS reminders, and mobile money incentives to support tuberculosis medication adherence in a low-income setting.

methodsThis study used mixed methods approaches among persons with tuberculosis recruited from the Tuberculosis Clinic in the Mbarara Regional Referral Hospital. We purposively sampled 21 persons with tuberculosis aged 18 years and older, who owned cell phones and were able to use SMS text messaging interventions. We also enrolled 9 participants who used DATs in our previous study. We used focus group discussions with the 30 participants to solicit perceptions about the initial version of the My Mobile Wallet intervention, and then iteratively refined subsequent versions of the intervention following a user-centered design approach until the beta version of the intervention that suited their needs was developed. Surveys eliciting information about participants' cell phone use and perceptions of the intervention were also administered. Content analysis was used to inductively analyze qualitative data to derive categories describing the perceived usefulness of the intervention, concerns, and design mechanisms. Stata (version 13; StataCorp) was used to analyze survey data.

resultsParticipants expressed the perceived usefulness of the My Mobile Wallet intervention in terms of being reminded to take medication, supported with transport to the clinic, and money to meet other tuberculosis medication-related costs, all of which were perceived to imply care, which could create a sense of connectedness to health care workers. This could consequently cause participants to develop a self-perceived need to prove their commitment to adherence to health care workers who care for them, thereby motivating medication adherence. For fear of unintended tuberculosis status disclosure, 20 (67%) participants suggested using SMS language that is confidential-not easily related to tuberculosis. To reduce the possibilities of using the money for other competing demands, 25 (83%) participants preferred sending the money 1-2 days before the appointment to limit the time lag between receiving the money and visiting the clinic.

conclusionsDATs complemented with mobile money financial incentives could potentially provide acceptable approaches to remind, support, and motivate patients to adhere to taking their tuberculosis medication.

trial registrationClinicalTrials.gov NCT05656287; https://clinicaltrials.gov/ct2/show/NCT05656287.

Indexed as

digital adherence technologiesfinancial incentivesmedication adherencemobile moneymobile phonemobile walletreal-time monitoringSMS reminderssupport medicationtuberculosisuser-centered approach

Identifiers

PMID37043263
PMCPMC10134020
OpenAlexW4323529115

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.