Evidence map›Paper›PMID 41693812›Full record

ArticlemHealth2026

Community health workers and social media: benefits, drawbacks, and training needs.

Manuel A Ocasio, Joanna Fashjian, Charles A Haywood, Tamachia Davenport, Ashley Wennerstrom, Mallory O Johnson, Parya Saberi, M Isabel Fernández

Abstract read
In one paragraph

Article in mHealth, 2026. 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

8 authors.

Manuel A OcasioDepartment of Pediatrics, Tulane University School of Medicine, New Orleans, LA, USA.ORCID https://orcid.org/0000-0002-8287-2878
Joanna FashjianDepartment of Pediatrics, Tulane University School of Medicine, New Orleans, LA, USA.
Charles A HaywoodWomen with a Vision, New Orleans, LA, USA.
Tamachia DavenportCamp ACE/St. John the Baptist #5, New Orleans, LA, USA.
Ashley WennerstromDepartment of Community Health Science & Policy, LSU Health Sciences Center, New Orleans, LA, USA.
Mallory O JohnsonDepartment of Medicine, University of California, San Francisco, CA, USA.
Parya SaberiDepartment of Medicine, University of California, San Francisco, CA, USA.
M Isabel FernándezCollege of Osteopathic Medicine, Nova Southeastern University, Miami, FL, USA.

Funding

Substance Use and HIV Prevention Research in Minority Communities Training ProgramR25DA028567 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Julia Lechuga, Torsten Brian Neilands · 2009 to 2026
$5.4M
Diffusing persuasive HIV testing messages: engaging Black sexual minority youth social media influencersK01MD016813 · NIMHD · TULANE UNIVERSITY OF LOUISIANA · PI OCASIO, MANUEL A · 2021 to 2025
$613k
Mentoring Clinical Investigators in Psychedelic-Assisted Therapy for HIV (Mentor-PATH)K24DA061664 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Parya Saberi · 2025 to 2026
$433k
NIDA NIH HHS K24 DA061664NIDA NIH HHS R25 DA028567NIMHD NIH HHS K01 MD016813
6 · The paper itself

Abstract

Background: Community health workers (CHWs) are an essential and rapidly growing part of the public health workforce. CHW activities are traditionally conducted in person, such as in clinics and at community events; social media could further extend their impact. Many health professionals use social media for disseminating health information, engaging patients, and promoting positive health change, while also navigating risks, such as privacy concerns. Training could be an effective approach to equipping CHWs with skills to maximize social media's benefits while mitigating risks. Furthermore, artificial intelligence (AI) tools are increasingly popular for creating, refining, or tailoring social media content and could be useful for CHWs who use social media. In this study, we conducted qualitative interviews to explore the potential benefits and drawbacks of using social media as a CHW tool, CHW preferences for social media skills training, and interest in learning how to use AI for social media content creation. Methods: We recruited CHWs in Louisiana, USA, through targeted e-mails to a CHW professional organization and agencies that employ CHWs. Between October 2024 and February 2025, we conducted 15 interviews. Interviews were audio-recorded and transcribed for analysis. We used deductive and general inductive approaches to analyze transcripts and generate themes. Results were finalized with input from experienced CHWs. Results: We identified five themes related to the benefits and drawbacks of social media use: reach and engagement, privacy and confidentiality, health education, organizational policy and expectations, and time and effort. For example, in terms of reach and engagement, CHWs highlighted social media as being particularly effective for reaching specific groups, such as young people, but also recognized that many clients they serve live in rural areas with limited internet access. All participants were supportive of a social media skills training, except for one. Participants commented on the format, teaching approaches, and content they would like to see in a social media skills training program for CHWs, such as incorporating interactive elements and teaching how to develop culturally sensitive content and navigate personal-professional boundaries. Many CHWs expressed hesitancy about training on how to use AI for content creation, noting concerns about authenticity and accuracy. Conclusions: Social media could be a powerful tool for boosting outreach efforts and expanding access to health information. However, using social media can present challenges in maintaining personal-professional boundaries and the privacy and confidentiality of CHWs and their clients. Results from our study can be used to inform the development and testing of a social media skills training that is responsive to CHW needs.

Indexed as

artificial intelligence (AI)Community health workers (CHW)health workforcesocial mediatraining

Identifiers

PMID41693812
PMCPMC12902161

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.