数据驱动还是基于数据? 一般医生如何使用数据来评估自己和同事在集群中的临床工作
Christoffer Bjerre Haase1,2,3, Margaret Bearman2, John Brandt Brodersen3,4,5
1Department of Public Health, Section for Health Services Research, University of Copenhagen, Copenhagen, Denmark.
Sociology of health & illness
|December 29, 2023
概括
丹麦的全科医生使用数据来评估临床质量. 当数据讨论影响他们的质量感知时,他们会改变做法,这表明从质量转变到质量转变.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 卫生社会学 卫生社会学
- 科学与技术研究 研究科学与技术研究
背景情况:
- 政策制定者越来越多地倡导"数据驱动"医疗保健以提高质量.
- 丹麦国家质量发展计划要求全科医生在"集群"中使用临床数据进行自我评估.
- 该计划涉及使用基准和平均值来比较临床质量.
研究的目的:
- 探索一般医生如何理解和信任用于质量保证的数据.
- 调查数据驱动讨论对全科医生的临床实践和质量认知的影响.
- 检查社会学在日常医疗实践中与证据的接触的作用.
主要方法:
- 与丹麦的全科医生进行半结构面试.
- 基于科学和技术研究的定性分析.
- 探索一般医生对临床质量数据的信任和解释.
主要成果:
- 一般医生对数据的理解和信任对于其对实践的影响至关重要.
- 围绕数据进行讨论,而不仅仅是数据,促使临床实践发生变化.
- 数据与质量保证的整合影响了全科医生对临床质量的看法.
结论:
- 在医疗保健方面,建议从"数据驱动"转向"数据信息化"方法.
- 社会学观点对于理解医学实践中的证据使用至关重要.
- 在医疗保健中有效利用数据需要注意如何解释证据,以及从业人员如何信任这些证据.
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