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健康公平研究人员增强分析严谨性并从定性数据中得出有意义见解的实用策略。

Practical Strategies for Health Equity Researchers to Enhance Analytic Rigor and Generate Meaningful Insights From Qualitative Data.

机构信息

San Diego State University School of Public Health, San Diego, California.

Institute for Behavioral and Community Health, San Diego State University Research Foundation, San Diego, California.

出版信息

Prev Chronic Dis. 2022 Nov 3;19:E69. doi: 10.5888/pcd19.220134.

Abstract

Researchers and public health practitioners increasingly need to leverage diverse methodologic approaches in health equity research that will lead to innovations in the assessment of health inequities and development of interventions to decrease health inequities. One well-suited approach is the use of robust qualitative methods (alone or in combination with quantitative methods). As more health equity researchers employ qualitative methods in their study designs, additional guidance is needed on how to conduct robust and rigorous qualitative data analyses. We share a 4-step analytic strategy for health equity researchers and practitioners - particularly those with limited training in qualitative data analysis - that can be used to effectively execute qualitative analysis to inform health equity-driven efforts. These strategies will guide those less experienced in qualitative methodology to employ a pragmatic approach to analysis that is sound, reasonable, and produces meaningful insight that can be used to inform efforts to advance health equity for communities with the greatest needs.

摘要

研究人员和公共卫生从业者越来越需要利用健康公平研究中的多种方法,这将推动健康不公平评估和减少健康不公平干预措施的创新。一种非常适合的方法是使用强有力的定性方法(单独或与定量方法结合使用)。随着越来越多的健康公平研究人员在研究设计中采用定性方法,需要更多关于如何进行强有力和严格的定性数据分析的指导。我们为健康公平研究人员和从业者(特别是那些在定性数据分析方面培训有限的人员)分享了一个 4 步分析策略,可用于有效地执行定性分析,为健康公平驱动的工作提供信息。这些策略将指导那些在定性方法方面经验较少的人采用一种实用的分析方法,该方法合理、合理,并产生有意义的见解,可用于为最需要的社区推进健康公平的工作提供信息。

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