数据Derm:改善绩效测量趋势
Matthew E Fitzgerald1, Marta J Van Beek2, Robert A Swerlick3
1Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois.
Journal of the American Academy of Dermatology
|December 22, 2023
概括
通过跟踪绩效指标,参与DataDerm注册会提高护理质量. 这一多机构注册表显示了改善医疗保健质量指标的巨大潜力.
科学领域:
- 皮肤病学 提高质量 提高质量
- 医疗保健绩效测量方法 医疗保健绩效测量方法
- 医疗登记数据分析 数据分析
背景情况:
- 医疗保险的质量报告计划于2015年被整合为基于功绩的激励支付系统 (MIPS).
- 该研究的重点是皮肤病学实践中的质量改善.
研究的目的:
- 评估使用DataDerm注册表改善护理质量的潜力和改善率.
- 在皮肤病学中分析23个质量指标的表现.
主要方法:
- 检查了DataDerm注册表中的23项措施的绩效率,每项措施至少需要20名临床医生和50名患者的经验.
- 计算每个措施的总和总的总成绩率.
主要成果:
- 总体绩效率差异很大,从20.4%到99.9%.
- 总体总成绩率为81.2%,表明有18.8%的改进潜力.
- 绩效从2016-2018年持续改善,随着时间的推移跟踪的措施在2019-2020年出现了一些变化.
结论:
- 参与像DataDerm这样的多机构注册表可以提高符合绩效指标的改进.
- 在注册表设置中跟踪性能指标可以提高皮肤病护理的质量.
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