Evidence map›Paper›PMID 41659079›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Feasibility study of a novel mHealth clinical decision support application to enable Community Health Workers to manage hypertension in rural Guatemala.

Sean Duffy, Alejandro Chavez, Ian Stanley Arthur, Gabriella Lucia Ortiz, Alvaro Bermudez-Cañete, Pablo Nuñez-Perez, Elizabeth White, Valerie Aguilar, Juan Aguirre, Do Dang and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Sean DuffyDepartment of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.ORCID 0000-0002-1993-7835
Alejandro ChavezUniversity of California-San Francisco School of Medicine, San Francisco, CA, USA.
Ian Stanley ArthurDepartment of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Gabriella Lucia OrtizUniversity of Wisconsin-Madison, Madison, WI, USA.ORCID 0009-0002-6943-2429
Alvaro Bermudez-CañeteDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID 0009-0007-5122-2016
Pablo Nuñez-PerezDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID 0009-0005-9809-0319
Elizabeth WhiteBrellium, Inc., New York, NY, USA.
Valerie AguilarDepartment of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.
Juan AguirreDepartment of Family & Community Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Do DangDivision of Geriatric Medicine and Palliative Care, NYU Langone Health, New York, NY, USA.ORCID 0009-0006-7275-3134
Celina Sonia Perez AbajHospital Obras Sociales Monseñor Gregorio Schaffer, San Lucas Tolimán, Sololá, Guatemala.
Yoselin Emelina Letona LópezHospital Obras Sociales Monseñor Gregorio Schaffer, San Lucas Tolimán, Sololá, Guatemala.
Rafael TunHospital Obras Sociales Monseñor Gregorio Schaffer, San Lucas Tolimán, Sololá, Guatemala.
Taryn McGinn ValleyUniversity of Wisconsin-Madison, Madison, WI, USA.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 LMICR21TW011891 · FIC · UNIVERSITY OF WISCONSIN-MADISON · PI DUFFY, SEAN MICHAEL · 2021 to 2022
$333k
FIC NIH HHS R21 TW011891NIGMS NIH HHS T32 GM140935
6 · The paper itself

Abstract

Background: Hypertension is a leading global cause of morbidity and mortality, especially in low- and middle-income countries (LMICs), where low health service access limits diagnosis and treatment. Community health workers (CHWs) supported by mobile health (mHealth) clinical decision support (CDS) tools may help. This study evaluated the feasibility of CHW-led hypertension management using an mHealth CDS application in rural Guatemala. Methods: We conducted a six-month, single-group feasibility study in rural San Lucas Tolimán, Guatemala. Trained CHWs used a CommCare-based CDS application wherein algorithms based on WHO HEARTS guided medication titration, lifestyle counseling, and physician consultation. Adults (≥18 years) with diagnosed hypertension were followed monthly for six months. The primary feasibility outcome was prescribing agreement between CHWs and supervising physicians with application antihypertensive recommendations (minimum acceptable agreement = 90%). Primary clinical outcomes were changes in systolic (SBP) and diastolic (DBP) blood pressure. Secondary outcomes included retention, visit completion, patient satisfaction, and safety. Results: Thirty-two participants were enrolled (84% female); 30 (93.8%) completed six-month follow-up, with 96.4% of possible visits completed. Overall CHW-physician agreement with application recommendations was 96.7%, increasing to 98.9% over the final three months. Median SBP decreased 7.5 mmHg (95% CI 1.0-12.0) and mean DBP 3.1 mmHg (95% CI 0.1-6.1). The proportion of patients with controlled SBP (<140 mmHg) increased from 66.7% to 76.7% (p = 0.505). Eleven application errors (5% of 217 visits) occurred early and were corrected. There were no adverse events requiring hospitalization. Patient satisfaction remained high. Conclusions: In this pilot, CHWs supported by an mHealth CDS application safely and effectively managed hypertension with high physician agreement, patient retention, and blood pressure improvement. These findings demonstrate the feasibility of CHW task-sharing hypertension management in low-resource settings and support evaluation of this approach in larger trials.

Identifiers

PMID41659079
PMCPMC12879708

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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.