Evidence map›Paper›PMID 36718769›Full record

ArticleEpidemiology and psychiatric sciences2023

The Bay Area Muslim mental health community advisory board: evaluation of a community based participatory approach.

S S Ali, I Mahoui, R Hassoun, H Mojaddidi, R Awaad

Open access · goldAbstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Meta-Research on the Science of Lived Experience Engagement in Mental Health and Substance Use Health Research: A Scoping Review and Qualitative Synthesis.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  3. [Rethinking patient-centered care through an intersectional lens: pathways to health equity].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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 at 2 institutions in 1 country.

S S AliDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, USA.ORCID https://orcid.org/0000-0001-9717-1962
I MahouiStanford Muslims Mental Health and Wellbeing Program, Stanford University School of Medicine, Stanford, USA.
R HassounSchool of Public Health, George Washington University, Washington, USA.
H MojaddidiCommunity Advisory Board Member, Muslim Community Association, Santa Clara, USA.
R AwaadStanford Muslim Mental Health and Islamic Psychology Lab, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, USA.ORCID https://orcid.org/0000-0002-6277-3741
Stanford University · USGeorge Washington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this paper is to present a novel case for the formation, operation and evaluation of a community advisory aboard comprised of Muslims residing in the San Francisco Bay Area, California that utilised a community based participatory approach to address local Muslim mental health needs. The CAB was recruited in partnership with the Muslim Community Association (MCA), one of the largest Islamic centres in the San Franscisco Bay Area. In addition to describing the development of the CAB, the authors present the findings of the evaluation and synthesis of best processes based on CAB members' feedback.

methodsTo evaluate the perceived community advisory board members' perceptions of their roles and elicit feedback on how to enhance the relationship between the university team and the CAB, an evaluation was conducted by an independent team who was not part of the research process. Data was collected using anonymous individual surveys and small group open discussions that were conducted over three evaluation meetings. The evaluation utilised mixed method data collection strategies using questions from Schulz

resultsResults of the evaluation within the sphere of CAB operation indicated that CAB members found the greatest satisfaction from their contributions through direct participation in the research activities that were conducted by the university-CAB team. The collective responses indicated that most CAB members were satisfied with trust built between the university-CAB team and the diversity represented in the members of the board. However, given that the Bay Area is home to a very diverse Muslim community, challenges in recruiting representatives that account for all possible self-identifying groups was reported by the CAB with recommendations to recruit religious leaders. Recommendations also included eliciting funds for potential financial compensation for CAB members.

conclusionsThe Stanford-San Francisco Bay Area CAB demonstrated that empowering community members through direct participation, creating channels and safe spaces for feedback help create community rooted research that carry the true voices of marginalised communities and reflects their evolving needs.

Indexed as

IslamMental HealthCommunity-Based Participatory ResearchCommunity ParticipationCooperative BehaviorHumansCommunity mental healthminority issues and cross cultural psychiatrymulticulturalreligionresearch design and methods

Identifiers

PMID36718769
PMCPMC9971854
OpenAlexW4318615842

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.