什么是衡量问题:用于定性患者报告经验测量数据的分析方法的范围审查
Teyl Engstrom1, Max Shteiman2, Kim Kelly3
1Queensland Digital Health Centre, Centre for Health Services Research, The University of Queensland, Herston, QLD, Australia.
International journal of medical informatics
|July 20, 2024
概括
医院使用患者报告体验测量 (PREM) 调查来获得反. 分析正在从手动转向自动化方法,以获得定性PREM数据以改善患者护理.
科学领域:
- 改善医疗保健质量 改善医疗保健质量
- 医疗保健服务研究 医疗服务研究
- 患者体验测量 患者体验测量
背景情况:
- 医院越来越多地通过患者报告经验测量 (PREM) 调查收集患者反.
- 定性PREM数据提供了丰富的洞察力,但由于资源有限,这也带来了分析挑战.
- 本综述探讨了从常规医院护理中分析定性PREMs数据的方法.
研究的目的:
- 进行对用于分析患者报告体验指标 (PREM) 调查数据的定性分析方法的范围审查.
- 在常规医院环境中识别PREMs定性数据分析的趋势.
- 了解从手动到自动化数据分析技术的转变.
主要方法:
- 使用JBI范围审查方法.
- 在四个数据库中搜索了2013年至2023年间发表的文章.
- 提取了研究特征,并将分析方法分类为手动,自动或组合.
主要成果:
- 54项研究有资格,其中75.9%仅使用手动内容分析.
- 16.7%使用手动和自动化方法的组合,而7.4%仅使用自动化方法.
- 自动化方法的使用率从14.3% (2013-2018) 增加到27.5% (2019-2023).
结论:
- 显而易见的是,人们正在转向计算机化方法来分析PREM的定性数据.
- 自动化分析可以实现更大规模的数据处理,这对于不断增长的数据量至关重要.
- 对于医疗保健服务来说,有效的分析至关重要,以利用患者反以实现以消费者为中心的改进.
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