ArticleBMC health services research2025
Building healthcare-community partnerships: process evaluation of a coalition approach to addressing cancer survivors' health-related social needs.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- The role of external and internal context on adoption and implementation of evidence-based practices: a serial case study qualitative analysis of top performers in the HEALing Communities Study.Implementation science communications · 2026Article
- Chronic Psychological Stress in Oncogenesis: Multisystem Crosstalk and Multimodal Interventions.Research (Washington, D.C.) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundCoalitions involving both healthcare organizations and community organizations, are a way of providing community support to patients. However, the impact of these collaborations and partner satisfaction can be hard to measure without the use of a theoretical framework to guide progress.
methodsIn January 2023 we established the BEAT-C coalition, guided by the Community Coalition Action Theory (CCAT), to improve clinical-community linkages for addressing non-medical needs among individuals affected by cancer in the Washington, D.C. region. To create broad representation, we invited organizations focused on faith, older adults, cancer support, health promotion, healthy food access, and community health to join. The coalition dedicated significant effort at the outset to establish trust, cultivate relationships, and define shared values, mission, goals, and objectives. To assess coalition functioning, we administered a modified version of the Coalition Self-Assessment Survey (CSAS) in December 2023.
resultsSixteen individuals representing 10 organizations completed the adapted CSAS. Respondents generally responded positively regarding the coalition and made decisions primarily through discussion and agreement (75.0%). Respondents noted respect for leadership (81.3%) and respect for and from fellow coalition members (100.0%). While 56.3% reported meaningful action through the coalition, 31.3% thought there could be more meaningful action. Qualitative feedback mirrored these findings: participants positively regarded the coalition’s responsiveness and noted activities occurring through partnerships developed from the coalition, but some respondents emphasized a desire to act more swiftly.
conclusionOur research described facilitators and barriers to early implementation of a theory-driven collaborative coalition to enhance cancer survivor support. Through the continued efforts of the coalition and increased community capacity building, the multi-disciplinary efforts of the coalition have potential to address the needs of cancer survivors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.