Integrating Mixed Methods Social Network Analysis to Assess Community–Academic Partnerships
Bibliographic Data
| ID | 12808906 |
|---|---|
| Authors | Tatiana E Bustos (0000-0002-0776-7701, corresponding author), Julia Liu (0000-0002-8604-1633), Sana Simkani |
| Year | 2022 |
| Volume | 16 |
| Issue | 2 |
| Pages | 249-264 |
| Publication date | 2022-06-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Progress in community health partnerships (JOURNAL) |
| Journal identifiers | ISSN: 1557-055X • E-ISSN: 1557-0541 |
| Publisher | Project MUSE (PUBLISHER • US) |
| DOI | 10.1353/cpr.2022.0029 |
| PMID | 35662151 |
| OpenAlex | W4281939090 |
| Language | EN |
Systems level approaches must be applied to capture broader contexts (e.g., community, interpersonal, and individual) surrounding community health partnerships. The use of MMSNA maximizes benefits from a systems methodology-social network analysis-with qualitative interviews that allow for the critical assessment of network structure and community centered perspectives. Community health partnerships are encouraged to utilize this approach in order to deliver more sustainable public health efforts centered on the community that is directly impacted
Community health · Community practice · Community-based participatory research · Medical education · Participatory action research · Political science · Psychological intervention · Public health · Public relations · Social network analysis · Social science · Sociology · Community Health and Development · Health Policy Implementation Science · Medicine · Mental Health and Patient Involvement · Nursing · Psychology
| Highly cited | No |
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