Evidence map›Paper›PMID 24406092›Full record

ArticlePreventing chronic disease2014

The mobilizing action toward community health partnership study: multisector partnerships in US counties with improving health metrics.

Susan J Zahner, Thomas R Oliver, Kirstin Q Siemering

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Preventing chronic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  4. Mapping the Lay of the Land: Using Interactive Network Analytic Tools for Collaboration in Rural Cancer Prevention and Control.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
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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

3 authors.

Susan J ZahnerVilas Distinguished Achievement Professor, School of Nursing, University of Wisconsin-Madison, H6/240 CSC, 600 Highland Ave, Madison, WI 53792-2455. Email: sjzahner@wisc.edu.
Thomas R OliverUniversity of Wisconsin-Madison, Madison, Wisconsin.
Kirstin Q SiemeringUniversity of Wisconsin-Madison, Madison, Wisconsin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMultisector partnerships are promoted as a mechanism to improve population health. This study explored the types and salient features of multisector partnerships in US counties with improving population health metrics.

methodsWe used the "Framework for Understanding Cross-Sector Collaborations" proposed by Bryson, Crosby, and Stone to guide data collection and interpretation. Comparative case studies were conducted in 4 counties selected on the basis of population, geographic region, an age-adjusted mortality decline better than the US average, and stable per capita income. Data were collected through website and report reviews and through in-depth interviews with key informants (N = 59) representing multiple sectors. County reports were developed and cross-case themes related to partnership types and salient features were derived.

resultsMultisector collaboration was common in all 4 counties despite substantial variations in population, geographic size, demographic diversity, and other characteristics. Most partnerships were formed by professionals and organizations to improve delivery of health and social services to vulnerable populations or to generate policy, system, and environment changes. Multisector collaboration was valued in all cases. Outcomes attributed to partnerships included short- and long-term effects that contributed to improved population health.

conclusionThe Bryson, Crosby, and Stone model is a useful framework for conducting case study research on multisector partnerships. Outcomes attributed to the multisector partnerships have the potential to contribute to improvement in population health. Further study is needed to confirm whether multisector partnerships are necessary for improving population health within counties and to understand which partnership characteristics are critical for success.

Indexed as

Cooperative BehaviorPublic-Private Sector PartnershipsCommunity NetworksCross-Sectional StudiesData Interpretation, StatisticalDelivery of Health CareHumansOrganizational Case StudiesQualitative ResearchQuality Indicators, Health CareSocial WorkUnited States

Identifiers

PMID24406092
PMCPMC3887051

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.