Evidence map›Paper›PMID 36060606›Full record

ArticleSocial networks2022

Resilience and fragmentation in healthcare coalitions: The link between resource contributions and centrality in health-related interorganizational networks.

Eve Bohnett, Raffaele Vacca, Yujie Hu, David Hulse, Danielle Varda

Abstract read
In one paragraph

Article in Social networks, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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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

5 authors.

Eve BohnettDepartment of Landscape Architecture, University of Florida, Gainesville, USA.
Raffaele VaccaDepartment of Social and Political Sciences, University of Milan, Italy.
Yujie HuDepartment of Geography, University of Florida, Gainesville, USA.
David HulseDepartment of Landscape Architecture, University of Florida, Gainesville, USA.
Danielle VardaDepartment of Health Systems, Management and Policy, University of Colorado, Denver, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interorganizational coalitions or collaboratives in healthcare are essential to address the health challenges of local communities, particularly during crises such as the Covid-19 pandemic. However, few studies use large-scale data to systematically assess the network structure of these collaboratives and understand their potential to be resilient or fragment in the face of structural changes. This paper analyzes data collected in 2009-2017 about 817 organizations (nodes) in 42 healthcare collaboratives (networks) throughout Florida, the third-largest U.S. state by population, including information about interorganizational ties and organizations' resource contributions to their coalitions. Social network methods are used to characterize the resilience of these collaboratives, including identification of key players through various centrality metrics, analyses of fragmentation centrality and core/periphery structure, and Exponential Random Graph Models to examine how resource contributions facilitate interorganizational ties. Results show that the most significant resource contributions are made by key players identified through fragmentation centrality and by members of the network core. Departure or removal of these organizations would both strongly disrupt network structure and sever essential resource contributions, undermining the overall resilience of a collaborative. Furthermore, one-third of collaboratives are highly susceptible to disruption if any fragmentation-central organization is removed. More fragmented networks are also associated with poorer health-system outcomes in domains such as education, health policy, and services. ERGMs reveal that two types of resource contributions - community connections and in-kind resource sharing - are especially important to facilitate the formation of interorganizational ties in these coalitions.

Indexed as

Core-periphery structureExponential Random Graph ModelsFragmentation CentralityHealthcareKey playersResilience

Identifiers

PMID36060606
PMCPMC9420007

What OpenQuestion holds

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Registered trials

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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.