ArticleTranslational behavioral medicine2014
Modeling the sustainability of community health networks: novel approaches for analyzing collaborative organization partnerships across time.
Article in Translational behavioral medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Effects of Resource Sharing Networks on Community Anti-Drug Coalitions' Outcomes: A Social Network Analysis.Prevention science : the official journal of the Society for Prevention Research · 2024Article
- Eco-decisional well-being networks as a tool for community decision support.Frontiers in ecology and evolution · 2024Article
- Protocol for a hybrid type 3 cluster randomized trial of a technical assistance system supporting coalitions and evidence-based drug prevention programs.Implementation science : IS · 2021Article
- Measurement Approaches to Partnership Success: Theory and Methods for Measuring Success in Long-Standing Community-Based Participatory Research Partnerships.Progress in community health partnerships : research, education, and action · 2020Article
- Rapid organizational network analysis to assess coordination of services for HIV testing clients: an exploratory study.Journal of HIV/AIDS & social services · 2018Article
- A catalyst for system change: a case study of child health network formation, evolution and sustainability in Canada.BMC health services research · 2017Article
- Article
- Integrating Systems Science and Community-Based Participatory Research to Achieve Health Equity.American journal of public health · 2016Article
- The National Cancer Institute's Community Networks Program Initiative to Reduce Cancer Health Disparities: Outcomes and Lessons Learned.Progress in community health partnerships : research, education, and action · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Sustainability is important if community health organizations are to be effective in collaborating to achieve long term health goals. We present a multi-method set of longitudinal analyses examining structural markers applied to a group of organizations brought together to reduce cancer disparities among older African American adults. At the overall network level, sustainability was seen in the growth of outgoing connections and multiplexity. Results of hierarchical clustering analyses identified distinct patterns of collaborative activation over time at the relationship level. Growth modeling indicated the effects of continuing network membership and participation in collaborative events on several structural markers of sustainability. Results of these analyses provide longitudinal indicators for how collaborations among partner organizations impacted their likelihood of continuing in the community network program. The strategy presented here introduces novel methods to assist with planning and evaluation of future community based public health endeavors.
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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.