Evidence map›Paper›PMID 37006528›Full record

ArticleFrontiers in public health2023

Co-creation of a training for community health workers to enhance skills in serving LGBTQIA+ communities.

Vanessa Kitzie, Julie Smithwick, Carmen Blanco, M Greg Green, Sarah Covington-Kolb

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. 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

5 authors.

Vanessa KitzieSchool of Information Science, University of South Carolina, Columbia, SC, United States.
Julie SmithwickCenter for Community Health Alignment, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.
Carmen BlancoCenter for Community Health Alignment, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.
M Greg GreenCenter for Community Health Alignment, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.
Sarah Covington-KolbCenter for Community Health Alignment, University of South Carolina Arnold School of Public Health, Columbia, SC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes creating and implementing a 30-h LGBTQIA+ specialty training for community health workers (CHWs). The training was co-developed by CHW training facilitators (themselves CHWs), researchers with expertise in LGBTQIA+ populations and health information, and a cohort of 11 LGBTQIA+ CHWs who theater tested and piloted the course. The research and training team collected cohort feedback through focus groups and an evaluative survey. Findings stress the importance of a curriculum designed to elicit lived experiences and informed by a pedagogical framework centered on achieving LGBTQIA+ visibilities. This training is a vital tool for CHWs to foster cultural humility for LGBTQIA+ populations and identify opportunities to support their health promotion, especially considering their limited and sometimes absent access to affirming and preventative healthcare. Future directions include revising the training content based on cohort feedback and adapting it to other contexts, such as cultural humility training for medical and nursing professionals and staff.

Indexed as

Community Health WorkersCurriculumFocus GroupsHealth PromotionHealth Services AccessibilityHumansCHW training protocolcommunity health workerscurriculum developmentLGBTQLGBTQIA+

Identifiers

PMID37006528
PMCPMC10060788

What OpenQuestion holds

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LicenceCC BY
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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.