Professor of Bioethics and Education, Centre for Public Policy Research, 121212King's College London, UK.
Improvement Science Fellow, Faculty of Medicine, 4957Imperial College London, UK.
J Health Serv Res Policy. 2022 Apr;27(2):151-156. doi: 10.1177/13558196211054278. Epub 2022 Mar 2.
Qualitative data analysis should be embedded in routine health service measurement, management and organizational practices. The rigorous use of such analyses should become an institutional norm, comparable to the routine use of quantitative data. Our case is intended to have general relevance, but we develop it by reference to person-centred care and patient-centred outcome measures (PCOMs). The increased use of qualitative data analysis of individualized PCOMs is a crucial complementary counterweight to steps towards the standardization of PCOMs. More broadly, our argument is that health care organizations cannot make confident judgements about whether they are offering appropriate care without collecting qualitative data on what matters to individual patients. Introducing properly supported and conducted qualitative data analyses is important in its own right, and also helps underpin the validity and usefulness of quantitative measurement.
定性数据分析应当嵌入常规卫生服务的测量、管理和组织实践中。严格使用此类分析应当成为一种制度规范，可与定量数据的常规使用相媲美。我们的案例旨在具有普遍意义，但我们通过参考以患者为中心的护理和以患者为中心的结果测量（PCOMs）来进行阐述。越来越多地对个体化 PCOMs 进行定性数据分析，是对 PCOMs 标准化步骤的重要补充和制衡。更广泛地说，我们的观点是，如果不收集有关个体患者关注事项的定性数据，医疗机构就无法自信地判断其是否提供了适当的护理。引入经过适当支持和实施的定性数据分析本身很重要，还有助于支持定量测量的有效性和有用性。
