Evidence map›Paper›PMID 32515481›Full record

ArticleTranslational behavioral medicine2021

Key considerations for designing capacity-building interventions to support evidence-based programming in underserved communities: a qualitative exploration.

Shoba Ramanadhan, Kayoll Galbraith-Gyan, Anna Revette, Alisa Foti, Charlotte Rackard James, Vilma Martinez-Dominguez, Elecia Miller, Jamiah Tappin, Natalicia Tracy, Carmenza Bruff and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Translational behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.9field-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

20 citing papers in PubMed, 32 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

15 authors at 7 institutions in 1 country.

Shoba RamanadhanDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kayoll Galbraith-GyanSchool of Nursing, Northeastern University, Boston, MA, USA.
Anna RevetteCenter for Community-Based Research, Dana-Farber Cancer Institute, Boston, MA, USA.
Alisa FotiMt. Sinai Healthcare Foundation, Cleveland, OH, USA.
Charlotte Rackard JamesGreater Love Tabernacle, Boston, MA, USA.
Vilma Martinez-DominguezOffice of Community Development, Lawrence, MA, USA.
Elecia MillerCity of Lawrence Mayor's Health Task Force, Lawrence, MA, USA.
Jamiah TappinHealth Resources in Action, Boston, MA, USA.
Natalicia TracyBrazilian Worker Center, Boston, MA, USA.
Carmenza BruffCenter for Community-Based Research, Dana-Farber Cancer Institute, Boston, MA, USA.
S Tiffany DonaldsonUniversity of Massachusetts - Boston, Boston, MA, USA.
Sara MinskyCenter for Community-Based Research, Dana-Farber Cancer Institute, Boston, MA, USA.
Doris SempasaCenter for Community-Based Research, Dana-Farber Cancer Institute, Boston, MA, USA.
Carlos SiqueiraUniversity of Massachusetts - Boston, Boston, MA, USA.
Kasisomayajula ViswanathDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Dana-Farber Cancer Institute · USUniversity of Massachusetts Boston · USHarvard University · USGreater Lawrence Family Health Center · USHealth Resources in Action · USMt. Sinai Health Care Foundation · USNortheastern University · US

Funding

U Mass Boston / DFHCC U54 Partnership (1 of 2)U54CA156732 · NCI · DANA-FARBER CANCER INST · PI Nikhil Wagle · 2010 to 2026
$25.6M
UMass Boston-DF/HCC U54 Partnership (2 of 2)U54CA156734 · NCI · UNIVERSITY OF MASSACHUSETTS BOSTON · PI ADAN COLON-CARMONA, Jill A. Macoska · 2010 to 2026
$24.9M
NCI NIH HHS U54 CA156732NCI NIH HHS U54 CA156734
6 · The paper itself

Abstract

Increasing the use of evidence-based programs (EBPs) in community settings is critical for improving health and reducing disparities. Community-based organizations (CBOs) and faith-based organizations (FBOs) have tremendous reach and trust within underserved communities, but their impact is constrained by limited staff capacity to use EBPs. This exploratory study sought to identify design and delivery considerations that could increase the impact of capacity-building interventions for CBOs and FBOs working with underserved communities. Data come from a community-based participatory research project addressing cancer disparities in Black, Latino, and Brazilian communities from Greater Boston and Greater Lawrence, Massachusetts. We conducted four focus group discussions with program coordinators in CBOs and FBOs (n = 27) and key informant interviews with CBO and FBO leaders (n = 15). Three researchers analyzed the data using a multi-stage coding process that included both prefigured and emergent codes. Key design considerations included embedding customized capacity-building interventions into community networks with local experts, supporting ongoing engagement with the intervention via a range of resources and communication channels, and addressing resource constraints. Regarding the contextual factors that should influence capacity-building intervention content, participants highlighted resource constraints, environments in which EBP use is not the norm, and challenges linking available programs with the multi-level barriers to good health faced by community members. Overall, the study highlights the need for integrated, long-term capacity-building efforts developed in partnership with, and ultimately sustained by, local organizations.

Indexed as

Faith-Based OrganizationsHealth PromotionCapacity BuildingCommunity-Based Participatory ResearchCommunity NetworksHumansCapacity-buildingCommunity-based organizationsCommunity-based participatory researchFaith-based organizationsHealth promotion

Identifiers

PMID32515481
PMCPMC7963294
OpenAlexW3032951508

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.