规划和评估快速定性分析的严谨性 (PARRQA):基于共识的设计、实施和报告框架。

IF 8.8 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Christine P Kowalski, Andrea L Nevedal, Erin P Finley, Jessica P Young, Allison A Lewinski, Amanda M Midboe, Alison B Hamilton
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引用次数: 0

摘要

背景:过去十年来,快速定性方法在质量改进和医疗服务研究中的使用大幅增加。这些方法在实施研究和实践中得到了广泛应用,因为在实施研究和实践中,往往需要进行实时调整,以优化流程和结果。这种快速增长引出了这样的问题:在使用快速定性分析(RQA)的项目中,严谨性意味着什么?我们如何定义一个务实的框架来帮助研究团队设计和开展严谨有效的快速定性项目?作者如何在方法描述中阐明严谨性?最后,评审者如何评估快速定性项目的严谨性?由七位跨学科定性方法专家组成的团队制定了一个框架,以确保快速定性分析的严谨性和有效性以及适合这种分析方法的方法。我们进行了定性证据综述,以确定文献中的空白,然后借鉴文献、团队内部的标准程序以及快速定性培训材料库,创建了一个规划和报告框架。在一年的时间里,我们召开了 11 次小组工作会议(每次会议 60-90 分钟),对该框架进行了反复改进,并就各个项目征求反馈意见,以确保其完整性、清晰度和可理解性:结果:规划和评估快速定性分析的严谨性(PARRQA)框架在从设计到传播的各个阶 段逐步展开,具体如下:1) 严格设计(原理和人员配置),2) 半结构化数据收集(试点和规划),3) 快速定性分析:摘要模板开发(准确性和校准),4) 快速定性分析:矩阵分析(矩阵),5) 快速定性数据综合。这些章节中的 18 项建议明确了严谨性和有效性的最佳实践:结论:快速定性方法在实施评估中发挥着核心作用,有可能迅速提供有关背景、过程和关系的信息和见解。然而,关于如何评估严谨性的指导还很缺乏。PARRQA 框架提供了一些标准,以确保在涉及 RQA 的项目中对严谨性进行适当的规划和评估,从而充实了相关文献。该框架提供了一个基于共识的资源,以支持实施科学中高水平的定性方法严谨性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Planning for and Assessing Rigor in Rapid Qualitative Analysis (PARRQA): a consensus-based framework for designing, conducting, and reporting.

Background: The use of rapid qualitative methods has increased substantially over the past decade in quality improvement and health services research. These methods have gained traction in implementation research and practice, wherein real-time adjustments are often made to optimize processes and outcomes. This brisk increase begs the questions: what does rigor entail in projects that use rapid qualitative analysis (RQA)? How do we define a pragmatic framework to help research teams design and conduct rigorous and valid rapid qualitative projects? How can authors articulate rigor in their methods descriptions? Lastly, how can reviewers evaluate the rigor of rapid qualitative projects?.

Methods: A team of seven interdisciplinary qualitative methods experts developed a framework for ensuring rigor and validity in RQA and methods suitable for this analytic approach. We conducted a qualitative evidence synthesis to identify gaps in the literature and then drew upon literature, standard procedures within our teams, and a repository of rapid qualitative training materials to create a planning and reporting framework. We iteratively refined this framework through 11 group working meetings (60-90 minutes each) over the course of one year and invited feedback on items to ensure their completeness, clarity, and comprehensibility.

Results: The Planning for and Assessing Rigor in Rapid Qualitative Analysis (PARRQA) framework is organized progressively across phases from design to dissemination, as follows: 1) rigorous design (rationale and staffing), 2) semi-structured data collection (pilot and planning), 3) RQA: summary template development (accuracy and calibration), 4) RQA: matrix analysis (matrices), and 5) rapid qualitative data synthesis. Eighteen recommendations across these sections specify best practices for rigor and validity.

Conclusions: Rapid qualitative methods play a central role in implementation evaluations, with the potential to yield prompt information and insights about context, processes, and relationships. However, guidance on how to assess rigor is nascent. The PARRQA framework enhances the literature by offering criteria to ensure appropriate planning for and assessment of rigor in projects that involve RQA. This framework provides a consensus-based resource to support high-level qualitative methodological rigor in implementation science.

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来源期刊
Implementation Science
Implementation Science 医学-卫生保健
CiteScore
14.30
自引率
11.10%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Implementation Science is a leading journal committed to disseminating evidence on methods for integrating research findings into routine healthcare practice and policy. It offers a multidisciplinary platform for studying implementation strategies, encompassing their development, outcomes, economics, processes, and associated factors. The journal prioritizes rigorous studies and innovative, theory-based approaches, covering implementation science across various healthcare services and settings.
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