Evidence map›Paper›PMID 33361237›Full record

ArticleGlobal health, science and practice2020

Using Community Health Workers and a Smartphone Application to Improve Diabetes Control in Rural Guatemala.

Sean Duffy, Derek Norton, Mark Kelly, Alejandro Chavez, Rafael Tun, Mariana Niño de Guzmán Ramírez, Guanhua Chen, Paul Wise, Jim Svenson

2 registry-linked trialsAbstract read
In one paragraph

Article in Global health, science and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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.

NCT03626909 completednot on this map

Diabetes Treatment in Rural Guatemala

TypeobservationalSponsorUniversity of Wisconsin, MadisonRan2018 to 2019Enrolled89ConditionsDiabetesArmsPrimary visit and assessment, Follow up visits, 3 month visits, Unscheduled visits
NCT05479097 nacompletednot on this mapstarted 2023, after this paper: background citation

A Feasibility Study of a Novel mHealth Clinical Decision Support Application to Enable Community Health Workers to Manage Hypertension With Remote Physician Supervision

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2023 to 2023Enrolled32ConditionsHypertensionArmsAnti-Hypertensive
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Sean DuffyUniversity of Wisconsin School of Medicine and Public Health, Department of Family Medicine and Community Health, Madison, WI, USA. sean.duffy@fammed.wisc.edu.
Derek NortonUniversity of Wisconsin School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Madison, WI, USA.
Mark KellyUniversity of California-Los Angeles David Geffen School of Medicine, Internal Medicine Residency Program, Los Angeles, CA, USA.
Alejandro ChavezStanford University School of Medicine, Stanford, CA, USA.
Rafael TunHospital Obras Sociales Monseñor Gregorio Schaffer, San Lucas Tolimán, Guatemala.
Mariana Niño de Guzmán RamírezUniversity of Wisconsin School of Medicine and Public Health, Department of Family Medicine and Community Health, Madison, WI, USA.
Guanhua ChenUniversity of Wisconsin School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Madison, WI, USA.
Paul WiseStanford University School of Medicine, Stanford, CA, USA.
Jim SvensonUniversity of Wisconsin School of Medicine and Public Health, Department of Emergency Medicine, Madison, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global prevalence of diabetes has nearly doubled since 1980. Seventy-five percent of patients with diabetes live in low- and middle-income countries, such as Guatemala, where health care systems are often poorly equipped for chronic disease management. Community health workers (CHWs) and mobile health technology have increasingly been applied to the diabetes epidemic in these settings, although mostly in supportive rather than primary roles in diabetes management. We sought to improve diabetes care in rural Guatemala through the development of a CHW-led diabetes program and a smartphone application to provide CHWs with clinical decision support.

methodsWe worked with our local partners to develop a program model and the smartphone application (using the CommCare platform) and to train CHWs. We recruited patients with type 2 diabetes living in rural communities. Program evaluation used a single-group, pre-post design. Primary outcomes were hemoglobin A1c and the percentage of patients meeting A1c goals compared with baseline. We also followed a variety of process metrics, including application reliability.

resultsEighty-nine patients enrolled during the study period. The hemoglobin A1c percentage decreased significantly at 3 months (-1.0; 95% CI=-1.7, -0.6), 6 months (-1.5; 95% CI=-2.2, -0.8), 9 months (-1.3; 95% CI=-2.0, -0.6), and 12 months (-1.0; 95% CI=-1.7, -0.4). The percentage of patients with A1c ≤ 8% increased significantly at 3 months (23.6% to 44.4%,

conclusionOur results suggest that CHWs can safely and effectively manage diabetes with the assistance of a smartphone application and remote physician supervision. This model should be evaluated versus other standards of care and could be adapted to other low-resource settings and chronic diseases.

Indexed as

Community Health WorkersDiabetes Mellitus, Type 2GuatemalaHumansReproducibility of ResultsRural PopulationSmartphone

Identifiers

PMID33361237
PMCPMC7784066

What Socratic 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 Socratic graph.