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运用定性比较分析(QCA)解决复杂系统中的因果关系:对公共卫生干预研究的系统评价

The use of Qualitative Comparative Analysis (QCA) to address causality in complex systems: a systematic review of research on public health interventions.

作者信息

Hanckel Benjamin, Petticrew Mark, Thomas James, Green Judith

机构信息

Institute for Culture and Society, Western Sydney University, Sydney, Australia.

Department of Public Health, Environments and Society, LSHTM, London, UK.

出版信息

BMC Public Health. 2021 May 7;21(1):877. doi: 10.1186/s12889-021-10926-2.

Abstract

BACKGROUND

Qualitative Comparative Analysis (QCA) is a method for identifying the configurations of conditions that lead to specific outcomes. Given its potential for providing evidence of causality in complex systems, QCA is increasingly used in evaluative research to examine the uptake or impacts of public health interventions. We map this emerging field, assessing the strengths and weaknesses of QCA approaches identified in published studies, and identify implications for future research and reporting.

METHODS

PubMed, Scopus and Web of Science were systematically searched for peer-reviewed studies published in English up to December 2019 that had used QCA methods to identify the conditions associated with the uptake and/or effectiveness of interventions for public health. Data relating to the interventions studied (settings/level of intervention/populations), methods (type of QCA, case level, source of data, other methods used) and reported strengths and weaknesses of QCA were extracted and synthesised narratively.

RESULTS

The search identified 1384 papers, of which 27 (describing 26 studies) met the inclusion criteria. Interventions evaluated ranged across: nutrition/obesity (n = 8); physical activity (n = 4); health inequalities (n = 3); mental health (n = 2); community engagement (n = 3); chronic condition management (n = 3); vaccine adoption or implementation (n = 2); programme implementation (n = 3); breastfeeding (n = 2), and general population health (n = 1). The majority of studies (n = 24) were of interventions solely or predominantly in high income countries. Key strengths reported were that QCA provides a method for addressing causal complexity; and that it provides a systematic approach for understanding the mechanisms at work in implementation across contexts. Weaknesses reported related to data availability limitations, especially on ineffective interventions. The majority of papers demonstrated good knowledge of cases, and justification of case selection, but other criteria of methodological quality were less comprehensively met.

CONCLUSION

QCA is a promising approach for addressing the role of context in complex interventions, and for identifying causal configurations of conditions that predict implementation and/or outcomes when there is sufficiently detailed understanding of a series of comparable cases. As the use of QCA in evaluative health research increases, there may be a need to develop advice for public health researchers and journals on minimum criteria for quality and reporting.

摘要

背景

定性比较分析(QCA)是一种用于识别导致特定结果的条件组合的方法。鉴于其在复杂系统中提供因果关系证据的潜力,QCA越来越多地用于评估研究,以检验公共卫生干预措施的采用情况或影响。我们梳理了这一新兴领域,评估已发表研究中所确定的QCA方法的优缺点,并确定对未来研究和报告的启示。

方法

对PubMed、Scopus和Web of Science进行系统检索,以查找截至2019年12月发表的、使用QCA方法来识别与公共卫生干预措施的采用和/或效果相关条件的英文同行评审研究。提取并以叙述方式综合了与所研究干预措施(干预设置/水平/人群)、方法(QCA类型、案例水平、数据来源、使用的其他方法)以及所报告的QCA优缺点相关的数据。

结果

检索到1384篇论文,其中27篇(描述26项研究)符合纳入标准。所评估的干预措施包括:营养/肥胖(n = 8);身体活动(n = 4);健康不平等(n = 3);心理健康(n = 2);社区参与(n = 3);慢性病管理(n = 3);疫苗采用或实施(n = 2);项目实施(n = 3);母乳喂养(n = 2),以及一般人群健康(n = 1)。大多数研究(n = 24)仅针对或主要针对高收入国家的干预措施。所报告的主要优点是,QCA提供了一种解决因果复杂性的方法;并且它为理解不同背景下实施过程中的作用机制提供了一种系统方法。所报告的缺点与数据可用性限制有关,尤其是关于无效干预措施的数据。大多数论文展示了对案例的充分了解以及案例选择的合理性,但在方法学质量的其他标准方面,满足程度较低。

结论

QCA是一种很有前景的方法,可用于解决背景在复杂干预措施中的作用,以及在对一系列可比案例有足够详细了解的情况下,识别预测实施和/或结果的条件因果组合。随着QCA在评估性健康研究中的应用增加,可能需要为公共卫生研究人员和期刊制定关于质量和报告最低标准的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6968/8103634/f9130d20c2ed/12889_2021_10926_Fig1_HTML.jpg

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