医疗保险协议D部分和最低数据集在养老院报告的精神药物使用情况
Tianwen Huan1, Orna Intrator2, Adam Simning3
1Department of Public Health Sciences, University of Rochester, Rochester, NY, USA; Geriatrics and Extended Care Data and Analysis Center, James J. Peters VA Medical Center, Bronx, NY, USA.
Journal of the American Medical Directors Association
|March 30, 2025
概括
最小数据集 (MDS) 准确地记录了养老院居民使用抗精神病和抗抑郁药的情况. 然而,需要进一步的研究来了解MDS和处方药事件 (PDE) 数据之间的催眠药物报告中的差异.
科学领域:
- 老年学是一门学科.
- 医疗信息学 医疗信息学
- 心理药理学 心理药理学
背景情况:
- 最小数据集 (MDS) 药物数据的准确性尚未得到充分证实.
- 准确的药物数据对于养老院的护理质量至关重要.
研究的目的:
- 将最小数据集 (MDS) 药物数据的准确性与处方药事件 (PDE) 心理药物数据进行比较.
- 评估MDS数据对长期住院住户抗精神病,抗抑郁药和催眠药的有效性.
主要方法:
- 进行了药物使用的横截面比较.
- 分析了2018年美国长期居民 (≥65岁) 养老院的数据.
- 使用科恩卡帕和有效性参数评估了MDS和PDE数据之间的一致性.
主要成果:
- 在MDS和PDE之间发现了抗精神病 (kappa=0.9) 和抗抑郁药 (kappa=0.83) 使用的高度一致性.
- 对于抗精神病和抗抑郁药的使用,MDS数据显示出高有效性 (例如,敏感性,特异性).
- 对于催眠使用 (kappa=0.1) 观察到显著的不同意见,尽管与抗焦虑药物结合改善了协议 (kappa=0.74).
结论:
- 该MDS是测量抗精神病和抗抑郁药在养老院居民使用的有效工具.
- 需要进一步调查,以解决MDS和PDE数据之间的催眠药物报告中的差异.
- 确保MDS中准确的药物数据对于监测和改善住院护理至关重要.
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