Center for Clinical Management Research, VA Ann Arbor Healthcare System, 2215 Fuller Rd, Ann Arbor, MI, 48105, USA.
VA Health Systems Research Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, 16111 Plummer Street, Sepulveda, CA, 91343, USA.
Implement Sci. 2024 Oct 11;19(1):71. doi: 10.1186/s13012-024-01397-1.
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?.
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.
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.
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.
在过去十年中,快速定性方法在质量改进和卫生服务研究中的应用大大增加。这些方法在实施研究和实践中得到了关注,因为在这些研究和实践中,经常需要实时调整以优化过程和结果。这种快速增长引发了以下问题:使用快速定性分析(RQA)的项目需要什么严格性?我们如何定义一个实用的框架来帮助研究团队设计和进行严格有效的快速定性项目?作者如何在方法描述中表达严谨性?最后,评审员如何评估快速定性项目的严谨性?
一组由 7 名跨学科定性方法专家组成的团队制定了一个框架,用于确保 RQA 和适合这种分析方法的方法的严谨性和有效性。我们进行了一项定性证据综合研究,以确定文献中的差距,然后借鉴文献、我们团队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。我们通过一年中 11 次小组工作会议(每次 60-90 分钟)对该框架进行了迭代改进,并邀请反馈意见以确保其完整性、清晰度和可理解性。
规划和评估快速定性分析的严谨性(PARRQA)框架是按照从设计到传播的阶段逐步组织的,如下所示:1)严格的设计(理由和人员配备),2)半结构化数据收集(试点和规划),3)RQA:总结模板开发(准确性和校准),4)RQA:矩阵分析(矩阵),5)快速定性数据分析。这些部分的 18 条建议指定了严谨性和有效性的最佳实践。
快速定性方法在实施评估中发挥着核心作用,具有及时提供有关背景、过程和关系的信息和见解的潜力。然而,关于如何评估严谨性的指南还处于起步阶段。PARRQA 框架通过提供确保涉及 RQA 的项目进行适当规划和评估严谨性的标准,增强了文献。该框架提供了一个基于共识的资源,以支持实施科学中高级定性方法的严谨性。