长期护理居民文件的数据质量:系统性审查和元分析
Aurora Monticelli1, Franziska Zúñiga1, Jianan Huang1
1Nursing Science, Department Public Health, University of Basel, Basel, Switzerland.
Journal of the American Medical Directors Association
|March 2, 2025
概括
干预措施提高了长期护理的居民文件质量13%,但证据质量很低. 关键因素包括系统的有用性和员工的知识,使用冠军和反等策略被证明是有效的.
科学领域:
- 改善医疗保健质量 改善医疗保健质量
- 长期护理研究的研究.
- 医疗信息学 医疗信息学
背景情况:
- 改善居民文件中的数据质量对于在住宅长期护理机构的有效护理至关重要.
- 现有干预措施的影响和实施挑战需要进行系统评估.
研究的目的:
- 评估改善长期护理居民文档数据质量的干预措施.
- 探索实施策略和数据质量的决定因素.
主要方法:
- 进行了对30项研究的系统审查.
- 数据合成包括叙事合成和元分析.
- 用专题分析分析了定性数据.
主要成果:
- 诸如电子健康记录和教育策略等干预措施显示出小到中等的改善 (平均完整性增加13%).
- 关键决定因素包括系统的感知效用和员工知识.
- 实施策略涉及冠军,审计,反和咨询.
结论:
- 干预措施在文档完整性方面提供了适度的改进,但证据质量非常低.
- 数据的准确性和及时性仍未得到充分研究.
- 对于稳固的数据质量,有效的干预措施尚未明确确确立.
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