Suppr超能文献

公共卫生领域多部门联盟有效性关键因素的系统评价

A Systematic Review of Key Factors in the Effectiveness of Multisector Alliances in the Public Health Domain.

作者信息

Wiggins Bonnie, Anastasiou Kim, Cox David N

机构信息

Nutrition and Health, Health and Biosecurity, 2221CSIRO, Adelaide, South Australia, Australia.

出版信息

Am J Health Promot. 2021 Jan;35(1):93-105. doi: 10.1177/0890117120928789. Epub 2020 Jun 3.

Abstract

OBJECTIVE

The purpose of this systematic literature review is to assess the factors associated with synergistic multisector alliances in the public health domain.

DATA SOURCE

Articles in PubMed, CINAHL, Scopus, and Google Scholar between March 2009 and February 2019 were searched.

STUDY INCLUSION AND EXCLUSION CRITERIA

Included alliances had a public health and behavioral focus, were from the public or private sector, and were multipartner and multisector, and from high-income countries. Public health research alliances were included, but clinical research alliances were excluded.

DATA EXTRACTION

Data extraction included alliance description, alliance domain, country, single or multiple alliances, and the sectors included in the alliance. Two theoretical frameworks were used in data extraction.

DATA SYNTHESIS

Data were coded according to 28 factors representing antecedents, management, and evaluation (Parent and Harvey model) and 3 output-specific factors (Bergen model).

RESULTS

A final 24 papers were included, of which 58% contained synergistic alliances. While almost all factors reportedly enabled synergy, some factors were more frequently associated with synergistic alliances, including clear purpose and positive coordination, information sharing, and evaluation of project outcomes. Complexity within some factors was also reported.

CONCLUSION

The theoretical models were supported by the data. Public health alliances would likely benefit from incorporating factors identified as beneficial for synergy and from carefully considering the management of complex factors.

摘要

目的

本系统文献综述旨在评估与公共卫生领域协同多部门联盟相关的因素。

数据来源

检索了2009年3月至2019年2月期间PubMed、CINAHL、Scopus和谷歌学术上的文章。

研究纳入和排除标准

纳入的联盟以公共卫生和行为为重点,来自公共或私营部门,是多伙伴和多部门的,且来自高收入国家。纳入公共卫生研究联盟,但排除临床研究联盟。

数据提取

数据提取包括联盟描述、联盟领域、国家、单一或多个联盟以及联盟中包含的部门。在数据提取中使用了两个理论框架。

数据综合

根据代表前因、管理和评估的28个因素(Parent和Harvey模型)以及3个特定产出因素(Bergen模型)对数据进行编码。

结果

最终纳入24篇论文,其中58%包含协同联盟。虽然据报道几乎所有因素都能实现协同,但有些因素与协同联盟的关联更为频繁,包括明确的目标和积极的协调、信息共享以及对项目成果的评估。还报告了一些因素中的复杂性。

结论

数据支持这些理论模型。公共卫生联盟可能会从纳入被确定为有利于协同的因素以及仔细考虑复杂因素的管理中受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfbe/7747138/14def64bc93b/10.1177_0890117120928789-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验