Evidence map›Paper›PMID 39844335›Full record

ArticleImplementation science : IS2025

Looking under the hood of a hybrid two-way texting intervention to improve early retention on antiretroviral therapy in Malawi: an implementation fidelity evaluation.

Robin E Klabbers, Caryl Feldacker, Jacqueline Huwa, Christine Kiruthu-Kamamia, Agness Thawani, Hannock Tweya

Abstract read
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Article in Implementation science : IS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Robin E KlabbersDepartment of Global Health, University of Washington, Seattle, WA, USA. reklabb@uw.edu.ORCID 0000-0002-1462-0046
Caryl FeldackerDepartment of Global Health, University of Washington, Seattle, WA, USA.
Jacqueline HuwaLighthouse Trust, Lilongwe, Malawi.
Christine Kiruthu-KamamiaInternational Training and Education Center for Health (I-TECH), Seattle, WA, USA.
Agness ThawaniLighthouse Trust, Lilongwe, Malawi.
Hannock TweyaDepartment of Global Health, University of Washington, Seattle, WA, USA.

Funding

Malawi HIV Implementation Research Scientist Training Program (MHIRST)D43TW010060 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MINA CHRISTINE HOSSEINIPOUR, Victor Mwapasa · 2015 to 2026
$3.8M
Two-way Texting (2wT) to Improve Patient Retention While Reducing the Healthcare Workload in High-Burden Public HIV Clinics in MalawiR33TW011658 · FIC · UNIVERSITY OF WASHINGTON · PI O'MALLEY, GABRIELLE · 2022 to 2024
$1.1M
Two-way Texting (2wT) to Improve Patient Retention While Reducing the Healthcare Workload in High-Burden Public HIV Clinics in MalawiR21TW011658 · FIC · UNIVERSITY OF WASHINGTON · PI FELDACKER, CARYL · 2020 to 2021
$391k
FIC NIH HHS D43 TW010060FIC NIH HHS R21 TW011658FIC NIH HHS R21TW011658/R33TW011658FIC NIH HHS R33 TW011658
6 · The paper itself

Abstract

backgroundWhile key to interpreting findings and assessing generalizability, implementation fidelity is underreported in mobile health (mHealth) literature. We evaluated implementation fidelity of an opt-in, hybrid, two-way texting (2wT) intervention previously demonstrated to improve 12-month retention on antiretroviral therapy (ART) among people living with HIV (PLHIV) in a quasi-experimental study in Lilongwe, Malawi.

methodsShort message service (SMS) data and ART refill visit records were used to evaluate adherence to 2wT content, frequency and duration through the lens of the Conceptual Framework for Implementation Fidelity. Message delivery and 2wT participant interactions were considered across four core 2wT components: 1) weekly motivational SMS messages; 2) proactive SMS appointment reminders; 3) SMS reminders after missed appointments; and 4) interactive messaging with 2wT staff about transfers and appointment rescheduling. Using mixed-effects logistic regression models adjusted for participant demographics, we examined the effect of core 2wT component fidelity on a) on-time appointment attendance and b) timely return to care after a missed appointment, presenting adjusted odds ratios (aORs) and 95% confidence intervals (CIs).

resultsThe 468 2wT participants had a median of 52 study weeks (interquartile range [IQR] 34 - 52) with 6 ART appointments (IQR 4-7) of which 2 (IQR 1 - 3) were missed. On average, participants received a motivation message for 75% (IQR 56%-83%) of enrolled weeks, a reminder before 83% (IQR 67%-100%) of appointments, and after 67% (IQR 0%-100%) of missed appointments. Participants reported 9 transfers and rescheduled 46 appointments through 2wT prompts; 196 appointments were changed via unprompted interaction. Participants with 10% higher expected motivation message delivery were more likely to attend clinic appointments on time (aOR: 1.08; 95%CI: 1.01 - 1.16, p = 0.03). Receiving and responding to an appointment reminder in any way were also associated with increased on-time appointment attendance (aOR: 1.35; 95%CI: 1.03 - 1.79, p = 0.03 and aOR: 1.47, 95%CI: 1.16 - 1.87, p = 0.001, respectively). No associations were found for 2wT messages and timely return to care following a missed appointment.

conclusionGreater 2wT implementation fidelity was associated with improved care outcomes. Although implementation fidelity monitoring of mHealth interventions is complex, it should be integrated into study design.

Indexed as

Anti-HIV AgentsAnti-Retroviral AgentsHIV InfectionsMedication AdherenceReminder SystemsText MessagingAdultAppointments and SchedulesFemaleHumansImplementation ScienceMalawiMaleMiddle AgedMotivationRetention in CareAnti-HIV AgentsAnti-Retroviral AgentsDigital health innovationFrameworkImplementation fidelityImplementation science, early retention in antiretroviral therapyInteractive messagingMobile healthRoutine settings, MalawiShort message service

Identifiers

PMID39844335
PMCPMC11753095

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LicenceCC BY
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Registered trials

None linked

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.