Literature DB >> 29355934

Cross-Sector Collaboration in the High-Poverty Setting: Qualitative Results from a Community-Based Diabetes Intervention.

Elizabeth L Tung1, Kathryn E Gunter1, Nyahne Q Bergeron1, Stacy Tessler Lindau2, Marshall H Chin3, Monica E Peek3.   

Abstract

OBJECTIVE: To characterize the motivations of stakeholders from diverse sectors who engaged in cross-sector collaboration with an academic medical center. DATA SOURCE: Primary qualitative data (2014-2015) were collected from 22 organizations involved in a cross-sector diabetes intervention on the South Side of Chicago. STUDY
DESIGN: In-depth, semistructured interviews; participants included leaders from all stakeholder organization types (e.g., businesses, community development, faith-based) involved in the intervention. DATA COLLECTION
METHODS: Data were transcribed verbatim from audio and video recordings. Analysis was conducted using the constant comparison method, derived from grounded theory. PRINCIPAL
FINDINGS: All stakeholders described collaboration as an opportunity to promote community health in vulnerable populations. Among diverse motivations across organization types, stakeholders described collaboration as an opportunity for: financial support, brand enhancement, access to specialized skills or knowledge, professional networking, and health care system involvement in community-based efforts. Based on our findings, we propose a framework for implementing a working knowledge of stakeholder motivations to facilitate effective cross-sector collaboration.
CONCLUSIONS: We identified several factors that motivated collaboration across diverse sectors with health care systems to promote health in a high-poverty, urban setting. Understanding these motivations will be foundational to optimizing meaningful cross-sector collaboration and improving diabetes outcomes in the nation's most vulnerable communities. © Health Research and Educational Trust.

Entities:  

Keywords:  Cross-sector collaboration; community health promotion; diabetes; intersectoral health; population health

Mesh:

Year:  2018        PMID: 29355934      PMCID: PMC6153162          DOI: 10.1111/1475-6773.12824

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


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