Evidence map›Paper›PMID 35635752›Full record

ArticleJMIR diabetes2022

Community Health Worker-Led mHealth-Enabled Diabetes Self-management Education and Support Intervention in Rural Latino Adults: Single-Arm Feasibility Trial.

Shiyu Li, Zenong Yin, Janna Lesser, Chengdong Li, Byeong Yeob Choi, Deborah Parra-Medina, Belinda Flores, Brittany Dennis, Jing Wang

Open access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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.

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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 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

9 authors at 5 institutions in 1 country.

Shiyu LiCenter on Smart and Connected Health Technologies, School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0001-8420-9343
Zenong YinDepartment of Public Health, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0001-7597-3147
Janna LesserSchool of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0001-6592-7868
Chengdong LiCollege of Nursing, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0001-5330-9624
Byeong Yeob ChoiDepartment of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-4205-1442
Deborah Parra-MedinaLatino Research Institute, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-5505-524X
Belinda FloresSouth Coastal Area Health Education Center, Corpus Christi, TX, United States.ORCID https://orcid.org/0000-0002-9667-2404
Brittany DennisCenter on Smart and Connected Health Technologies, School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-4909-9609
Jing WangCollege of Nursing, Florida State University, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0002-4012-0977
The University of Texas Health Science Center at San Antonio · USFlorida State University · USCoastal Area Health Education Center · USThe University of Texas at Austin · USThe University of Texas at San Antonio · US

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

backgroundLatinos living in rural South Texas have a higher prevalence of diabetes, but their access to diabetes self-management education and support (DSMES) is limited.

objectiveWe aimed to test the feasibility of a community health worker-led, mobile health (mHealth)-based DSMES intervention to reduce disparities in accessing DSMES in underserved rural Latino residents in South Texas.

methodsThis 12-week, single-arm, pre-post trial was delivered by trained community health workers to 15 adults with type 2 diabetes. The intervention consisted of digital diabetes education, self-monitoring, a cloud-based connected platform, and community health worker support. Feasibility was evaluated as retention, actual intervention use, program satisfaction, and barriers to implementation. We also explored the intervention's effect on weight loss and hemoglobin A

resultsAll 15 participants were Latino (mean age 61.87 years, SD 10.67; 9/15 female, 60%). The retention rate at posttest was 14 of 15 (93%). On average, the participants completed 37 of 42 (88%) digital diabetes education lessons with 8 participants completing all lessons. Participants spent 81/91 days (89%) step tracking, 71/91 days (78%) food logging, 43/91 days (47%) blood glucose self-monitoring, and 74/91 days (81%) weight self-monitoring. The level of program satisfaction was high. On average, participants lost 3.5 (SD 3.2) kg of body weight (P=.001), while HbA

conclusionsA community health worker-led mHealth-based intervention was feasible and acceptable to improve access to DSMES services for Latino adults living in rural communities. Future randomized controlled trials are needed to test intervention efficacy on weight loss and glycemic control.

Indexed as

community healthcommunity health workerdiabetesdiabetes managementdigital healthhealth disparityhealth educationLatinomHealthmobile healthruralrural healthself managementtechnology feasibilityunderserved

Identifiers

PMID35635752
PMCPMC9153909
OpenAlexW4229025008

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.