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心理健康政策实施实证评估中使用的定量措施:一项系统综述。

Quantitative measures used in empirical evaluations of mental health policy implementation: A systematic review.

作者信息

Pilar Meagan, Jost Eliot, Walsh-Bailey Callie, Powell Byron J, Mazzucca Stephanie, Eyler Amy, Purtle Jonathan, Allen Peg, Brownson Ross C

机构信息

Prevention Research Center, Brown School, Washington University in St. Louis, St. Louis, MO, USA.

Department of Infectious Diseases, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.

出版信息

Implement Res Pract. 2022 Dec 4;3:26334895221141116. doi: 10.1177/26334895221141116. eCollection 2022 Jan-Dec.

Abstract

BACKGROUND

Mental health is a critical component of wellness. Public policies present an opportunity for large-scale mental health impact, but policy implementation is complex and can vary significantly across contexts, making it crucial to evaluate implementation. The objective of this study was to (1) identify quantitative measurement tools used to evaluate the implementation of public mental health policies; (2) describe implementation determinants and outcomes assessed in the measures; and (3) assess the pragmatic and psychometric quality of identified measures.

METHOD

Guided by the Consolidated Framework for Implementation Research, Policy Implementation Determinants Framework, and Implementation Outcomes Framework, we conducted a systematic review of peer-reviewed journal articles published in 1995-2020. Data extracted included study characteristics, measure development and testing, implementation determinants and outcomes, and measure quality using the Psychometric and Pragmatic Evidence Rating Scale.

RESULTS

We identified 34 tools from 25 articles, which were designed for mental health policies or used to evaluate constructs that impact implementation. Many measures lacked information regarding measurement development and testing. The most assessed implementation determinants were readiness for implementation, which encompassed training (  =  20, 57%) and other resources (  =  12, 34%), actor relationships/networks (  =  15, 43%), and organizational culture and climate (  =  11, 31%). Fidelity was the most prevalent implementation outcome (  =  9, 26%), followed by penetration (  =  8, 23%) and acceptability (  =  7, 20%). Apart from internal consistency and sample norms, psychometric properties were frequently unreported. Most measures were accessible and brief, though minimal information was provided regarding interpreting scores, handling missing data, or training needed to administer tools.

CONCLUSIONS

This work contributes to the nascent field of policy-focused implementation science by providing an overview of existing measurement tools used to evaluate mental health policy implementation and recommendations for measure development and refinement. To advance this field, more valid, reliable, and pragmatic measures are needed to evaluate policy implementation and close the policy-to-practice gap.

PLAIN LANGUAGE SUMMARY

Mental health is a critical component of wellness, and public policies present an opportunity to improve mental health on a large scale. Policy implementation is complex because it involves action by multiple entities at several levels of society. Policy implementation is also challenging because it can be impacted by many factors, such as political will, stakeholder relationships, and resources available for implementation. Because of these factors, implementation can vary between locations, such as states or countries. It is crucial to evaluate policy implementation, thus we conducted a systematic review to identify and evaluate the quality of measurement tools used in mental health policy implementation studies. Our search and screening procedures resulted in 34 measurement tools. We rated their quality to determine if these tools were practical to use and would yield consistent (i.e., reliable) and accurate (i.e., valid) data. These tools most frequently assessed whether implementing organizations complied with policy mandates and whether organizations had the training and other resources required to implement a policy. Though many were relatively brief and available at little-to-no cost, these findings highlight that more reliable, valid, and practical measurement tools are needed to assess and inform mental health policy implementation. Findings from this review can guide future efforts to select or develop policy implementation measures.

摘要

背景

心理健康是健康的关键组成部分。公共政策为大规模影响心理健康提供了契机,但政策实施过程复杂,且在不同背景下差异显著,因此评估实施情况至关重要。本研究的目的是:(1)确定用于评估公共心理健康政策实施情况的定量测量工具;(2)描述这些测量工具中评估的实施决定因素和结果;(3)评估所确定测量工具的实用性和心理测量质量。

方法

在实施研究综合框架、政策实施决定因素框架和实施结果框架的指导下,我们对1995 - 2020年发表的同行评审期刊文章进行了系统综述。提取的数据包括研究特征、测量工具的开发与测试、实施决定因素和结果,以及使用心理测量和实用证据评级量表对测量工具质量的评估。

结果

我们从25篇文章中确定了34种工具,这些工具是为心理健康政策设计的,或用于评估影响实施的构念。许多测量工具缺乏关于测量工具开发与测试的信息。评估最多的实施决定因素是实施准备情况,其中包括培训(n = 20,57%)和其他资源(n = 12,34%)、行为者关系/网络(n = 15,43%)以及组织文化和氛围(n = 11,31%)。保真度是最普遍的实施结果(n = 9,26%),其次是渗透率(n = 8,23%)和可接受性(n = 7,20%)。除了内部一致性和样本规范外,心理测量特性经常未被报告。大多数测量工具易于获取且简短,但关于分数解释、缺失数据处理或使用工具所需培训的信息很少。

结论

这项工作通过概述用于评估心理健康政策实施情况的现有测量工具以及测量工具开发和完善的建议,为新兴的以政策为重点的实施科学领域做出了贡献。为了推动该领域的发展,需要更有效、可靠和实用的测量工具来评估政策实施情况并缩小政策与实践之间的差距。

通俗易懂的总结

心理健康是健康的关键组成部分,公共政策为大规模改善心理健康提供了契机。政策实施很复杂,因为它涉及社会多个层面的多个实体采取行动。政策实施也具有挑战性,因为它可能受到许多因素的影响,如政治意愿、利益相关者关系以及可用于实施的资源。由于这些因素,实施情况在不同地区(如州或国家)可能会有所不同。评估政策实施情况至关重要,因此我们进行了系统综述,以识别和评估心理健康政策实施研究中使用的测量工具的质量。我们的检索和筛选程序产生了34种测量工具。我们对它们的质量进行了评级,以确定这些工具是否实用,是否能产生一致(即可靠)和准确(即有效)的数据。这些工具最常评估的是实施组织是否遵守政策要求,以及组织是否拥有实施政策所需的培训和其他资源。尽管许多工具相对简短且成本低廉,但这些发现表明,需要更可靠、有效和实用的测量工具来评估心理健康政策实施情况并为其提供信息。本次综述的结果可为未来选择或开发政策实施测量工具的工作提供指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed07/9924289/29304fbf8856/10.1177_26334895221141116-fig1.jpg

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