Evidence map›Paper›PMID 38700575›Full record

ArticleJournal of immigrant and minority health2024

Effectiveness of Trained Community Lay Workers on Glycemic Control, Knowledge, and Self-Efficacy Among Agricultural Workers with Diabetes in the Texas Panhandle.

Anabel Rodriguez, Lus Chavez, Teresa Wagner, Carol Howe

Abstract read
In one paragraph

Article in Journal of immigrant and minority health, 2024. 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

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

4 authors.

Anabel RodriguezSchool of Public Health College Station, Texas A&M University, Environmental and Occupational Health, 212 Adriance Lab Road, 1266 TAMU, College Station, TX, 77843, USA. Anabelr@tamu.edu.ORCID http://orcid.org/0000-0001-7460-5879
Lus ChavezFamily Support Services of Amarillo, Sembrando el Sueño, 2209 SW 7th, Amarillo, TX, 79106, USA.
Teresa WagnerSchool of Health Professions, The University of North Texas Health Science Center at Fort Worth, 3500 Camp Bowie Blvd, IREB 470C, Fort Worth, TX, 76107, USA.
Carol HoweHarris College of Nursing and Health Sciences, Texas Christian University, 2800 South University Drive, Fort Worth, TX, 76109, USA.ORCID http://orcid.org/0000-0003-3022-8316

Funding

High Plains Intermountain Center for Agricultural Health and Safety-RenewalU54OH008085 · OH · COLORADO STATE UNIVERSITY · PI STALLONES, LORANN · 2011 to 2025
$22.2M
ACL HHS U54OH008085High Plains Center for Agricultural Health and Safety CDC/NIOSH U54OH008085NIOSH CDC HHS U54 OH008085
6 · The paper itself

Abstract

Systemic health barriers, economic challenges, and lack of follow-up care exacerbate self-management of chronic diseases like diabetes among Hispanic agricultural workers. The primary objective of this pilot project was to determine the benefit of using community coaches to decrease A1C levels and increase diabetes knowledge among agricultural workers with diagnosed diabetes in the Texas Panhandle. A longitudinal study design with two phases was used to create, deliver, and evaluate a diabetes coaching program. Phase 1 was the development of the program and community coaches training (n = 4). In Phase 2, the coaches then delivered the program over 12 weeks to thirteen clients. Phase 1: All coaches were Hispanic females, 28.3 (SD 3.8) years of age, half had at most a high school education level and the other half had a vocational certification (n = 4). Mean DKQ-24 score was 54.2% (SD = 29.7) at baseline and 75.0% (SD = 31.4) after training (t (4) = 4.6, P < 0.05). We observed a very large difference between mean baseline and exit DKQ-24 scores relative to the pooled standard deviation, resulting in an effect size estimate of 0.59 indicative of a medium to large learning effect. Phase 2: Clients were Hispanic Spanish-speaking, predominantly female (55%), 44.4 (SD 6.8) years of age with at most a high school level of education (88.9%) and occupations varied from dairy farm worker (33.3%), meat processing worker (33.3%), and other agriculture or manufacturing position (33.3%). The mean SKILLD score was 40.0% (SD = 28.7) at baseline, increasing to 72.2% (SD = 25.4) at 12 weeks upon completion of the coaching program (t (9) = 2.956, P < 0.05). We observed a very large difference between mean baseline and exit SKILLD scores relative to the pooled standard deviation, resulting in an effect size estimate of 1.13 indicative of a large learning effect. The mean A1C levels at baseline screening was 8.3% (SD = 3.0) and 7.6% (SD = 3.0) at exit screening, representing a 0.7% decrease (p = 0.4730). No statistically significant differences were observed between depression (p = 0.786) or anxiety (p = 1.000) measures at baseline compared to exit. Training and coaching programs for hard-to-reach agricultural and meat processing workers must be culturally, linguistically, and literacy appropriate for both coaches and clients. The program must be feasible and sustainable, focus on empowering community members, capitalize on technological advances and persisting new-normals from the COVID-19 pandemic as well as dismantle common systemic barriers to health and understanding lived-experiences of agricultural working populations in rural regions.

Indexed as

FarmersHealth Knowledge, Attitudes, PracticeHispanic or LatinoSelf EfficacyAdultCommunity Health WorkersDiabetes MellitusFemaleGlycated HemoglobinGlycemic ControlHumansLongitudinal StudiesMaleMiddle AgedPilot ProjectsTexasGlycated HemoglobinDiabetesGuatemalaHispanicK’iche’Rural healthTraining

Identifiers

PMID38700575
PMCPMC11413030

What OpenQuestion holds

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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.