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系统评价框架对中低收入国家心理健康证据与政策的相互关系。

A systematic review of frameworks for the interrelationships of mental health evidence and policy in low- and middle-income countries.

机构信息

Centre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, David Goldberg Centre Rm: M0.08 PO Box 28, De Crespigny Park - Denmark Hill, London, SE5 8AF, United Kingdom.

Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, David Goldberg Centre Rm: M0.08 PO Box 28, De Crespigny Park - Denmark Hill, London, SE5 8AF, United Kingdom.

出版信息

Health Res Policy Syst. 2018 Aug 22;16(1):85. doi: 10.1186/s12961-018-0357-2.

Abstract

BACKGROUND

The interrelationships between research evidence and policy-making are complex. Different theoretical frameworks exist to explain general evidence-policy interactions. One largely unexplored element of these interrelationships is how evidence interrelates with, and influences, policy/political agenda-setting. This review aims to identify the elements and processes of theories, frameworks and models on interrelationships of research evidence and health policy-making, with a focus on actionability and agenda-setting in the context of mental health in low- and middle-income countries (LMICs).

METHODS

A systematic review of theories was conducted based on the BeHeMOTh search method, using a tested and refined search strategy. Nine electronic databases and other relevant sources were searched for peer-reviewed and grey literature. Two reviewers screened the abstracts, reviewed full-text articles, extracted data and performed quality assessments. Analysis was based on a thematic analysis. The included papers had to present an actionable theoretical framework/model on evidence and policy interrelationships, such as knowledge translation or evidence-based policy, specifically target the agenda-setting process, focus on mental health, be from LMICs and published in English.

RESULTS

From 236 publications included in the full text analysis, no studies fully complied with our inclusion criteria. Widening the focus by leaving out 'agenda-setting', we included ten studies, four of which had unique conceptual frameworks focusing on mental health and LMICs but not agenda-setting. The four analysed frameworks confirmed research gaps from LMICs and mental health, and a lack of focus on agenda-setting. Frameworks and models from other health and policy areas provide interesting conceptual approaches and lessons with regards to agenda-setting.

CONCLUSION

Our systematic review identified frameworks on evidence and policy interrelations that differ in their elements and processes. No framework fulfilled all inclusion criteria. Four actionable frameworks are applicable to mental health and LMICs, but none specifically target agenda-setting. We have identified agenda-setting as a research theory gap in the context of mental health knowledge translation in LMICs. Frameworks from other health/policy areas could offer lessons on agenda-setting and new approaches for creating policy impact for mental health and to tackle the translational gap in LMICs.

摘要

背景

研究证据与决策之间的相互关系非常复杂。有不同的理论框架可以用来解释一般的证据-政策相互作用。这些相互关系中一个很大程度上尚未被探索的因素是证据如何与政策/政治议程设置相互关联并影响其发展。本综述旨在确定研究证据与卫生政策制定相互关系的理论、框架和模型的要素和过程,重点关注中低收入国家(LMICs)心理健康背景下的可操作性和议程设置。

方法

采用经过测试和完善的搜索策略,基于 BeHeMOTh 搜索方法对理论进行了系统综述。检索了 9 个电子数据库和其他相关来源,以获取同行评议和灰色文献。两名评审员筛选摘要、审查全文文章、提取数据并进行质量评估。分析基于主题分析。纳入的论文必须提出一个关于证据和政策相互关系的可操作性理论框架/模型,例如知识转化或循证政策,专门针对议程设置过程,关注心理健康,来自 LMICs 并以英文发表。

结果

在纳入全文分析的 236 篇出版物中,没有研究完全符合我们的纳入标准。通过放宽对“议程设置”的关注,我们纳入了 10 项研究,其中 4 项具有独特的概念框架,重点关注心理健康和 LMICs,但不关注议程设置。分析的四个框架证实了来自 LMICs 和心理健康的研究差距,以及缺乏对议程设置的关注。来自其他卫生和政策领域的框架和模型提供了关于议程设置的有趣的概念方法和经验教训。

结论

我们的系统综述确定了证据与政策相互关系的框架,这些框架在其要素和过程上有所不同。没有一个框架完全符合所有纳入标准。四个可操作的框架适用于心理健康和 LMICs,但没有一个专门针对议程设置。我们已经确定议程设置是 LMICs 心理健康知识转化背景下的研究理论差距。来自其他卫生/政策领域的框架可以提供有关议程设置和为心理健康创造政策影响的新方法的经验教训,并解决 LMICs 中的转化差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41a4/6106735/9a9f0de0aa30/12961_2018_357_Fig1_HTML.jpg

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