Evidence map›Paper›PMID 42061851›Full record

ArticleJMIR formative research2026

Community Health Worker Feedback on an mHealth Intervention for Hypertension in Rural Guatemala: Mixed Methods Formative Study.

Alvaro Bermudez-Cañete, Pablo Nuñez-Perez, Sean Duffy, Alejandro Chavez, Ian Stanley Arthur, Rafael Tun, Yoselin Letona Lopez, Celina Perez, Taryn McGinn Valley

Abstract read
In one paragraph

Article in JMIR formative research, 2026. 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. Trial
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

9 authors.

Alvaro Bermudez-Cañete *Department of Bioengineering, Stanford University, Stanford, CA, United States.ORCID 0009-0007-5122-2016
Pablo Nuñez-Perez *Department of Bioengineering, Stanford University, Stanford, CA, United States.ORCID 0009-0005-9809-0319
Sean DuffyDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-1993-7835
Alejandro ChavezSchool of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0003-1166-9896
Ian Stanley ArthurDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-3927-3570
Rafael TunHospital Obras Sociales Monseñor Gregorio Schaffer, San Lucas Mission, San Lucas, Guatemala.ORCID 0009-0003-3876-9966
Yoselin Letona LopezHospital Obras Sociales Monseñor Gregorio Schaffer, San Lucas Mission, San Lucas, Guatemala.ORCID 0009-0008-0041-2757
Celina PerezHospital Obras Sociales Monseñor Gregorio Schaffer, San Lucas Mission, San Lucas, Guatemala.ORCID 0009-0004-6545-5054
Taryn McGinn ValleyDepartment of Anthropology; Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0003-2866-9518

Funding

Integrated Training For Physician-ScientistsT32GM140935 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Anna Huttenlocher, Jeniel E Nett · 2021 to 2026
$6.5M
mHealth to Enable Task Sharing for Hypertension Care in LMICR33TW011891 · FIC · UNIVERSITY OF WISCONSIN-MADISON · PI DUFFY, SEAN MICHAEL · 2023 to 2025
$758k
mHealth to Enable Task Sharing for Hypertension Care in LMICR21TW011891 · FIC · UNIVERSITY OF WISCONSIN-MADISON · PI DUFFY, SEAN MICHAEL · 2021 to 2022
$333k
FIC NIH HHS R21 TW011891FIC NIH HHS R33 TW011891NIGMS NIH HHS T32 GM140935
6 · The paper itself

Abstract

backgroundHypertension remains a leading global health challenge, particularly in low- and middle-income countries (LMICs), where limited health care infrastructure and resources restrict effective management. Community health workers (CHWs) are critical in delivering care in these settings, and when equipped with mobile health (mHealth) apps, they can greatly enhance chronic disease management. Involving CHWs in the design and development at all stages is essential for the success of such programs. However, relatively little research discusses CHW feedback on mHealth interventions.

objectiveThis study aims to evaluate CHW feedback on a hypertension program using a novel tablet-based mHealth tool designed for CHW hypertension diagnosis and management in rural Guatemala.

methodsWe conducted a mixed-methods analysis as part of a pilot study in San Lucas Tolimán, Guatemala, involving 6 CHWs over a 6-month period. Quantitative data were collected using the System Usability Scale and Likert-scale surveys before and after study completion. Qualitative data were gathered through written surveys and focus group interviews conducted in Spanish by bilingual team members. These methods assessed the app's ease of use, workflow integration, and cultural appropriateness. CHWs provided detailed perspectives on technical challenges, training adequacy, and patient engagement, which guided iterative refinements to both the mHealth app and the hypertension management program.

resultsThe mHealth app was generally well-received. Average System Usability Scale scores exceeded 70, surpassing established usability thresholds. Likert scale data revealed CHWs found the app to be useful and easy to use, but identified training protocols as areas for improvement. Qualitative analysis of focus groups and written surveys revealed 3 dominant themes. First, CHWs identified practical short-term needs, including slower and more comprehensive training sessions, simplified medication dosing regimens to reduce pill burden, and streamlined survey questions to shorten patient visit times. Second, CHWs raised larger structural concerns, including retention challenges related to financial compensation and misalignment between required clinical data collection and the cultural appropriateness of certain app questions. Third, CHWs highlighted program benefits, including improved patient care and hypertension management, empowerment through educational tools, and increased pride and community trust associated with the program.

conclusionsOur findings suggest that iteratively integrating user feedback into the development of mHealth interventions is key to improve usability, cultural appropriateness, and overall effectiveness of chronic disease management in resource-constrained settings. Due to the small number of CHW participants, as well as a reliance on self-reported perceptions, these findings should be interpreted as exploratory and hypothesis-generating rather than generalizable. This study contributes to the growing literature on mHealth apps for noncommunicable diseases in LMICs and provides insights into CHW experiences. Addressing the technical barriers and systemic challenges identified in this study can help improve future implementations of mHealth-enabled chronic disease programs in LMICs.

Indexed as

Community Health WorkersDisease ManagementHypertensionMobile ApplicationsAdultFemaleGuatemalaHumansMaleMiddle AgedPilot ProjectsQualitative ResearchRural Populationcommunity health workersdigital healthGuatemalahypertension managementmHealth appmobile healthnoncommunicable diseasesrural health

Identifiers

PMID42061851
PMCPMC13135166

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.