养老院居民死亡风险:一个跨国视角
John N Morris1, Elizabeth P Howard2, Erez Schachter3
1Hebrew SeniorLife, The Hinda and Arthur Marcus Institute for Aging Research, Boston, MA, USA.
Journal of the American Medical Directors Association
|July 10, 2024
概括
一个新的尺度,DeathRisk-NH,有效地预测了在12个月内养老院居民的死亡. 该工具通过识别高风险个体,有助于护理规划和资源分配.
科学领域:
- 老年学是一门学科.
- 医疗保健服务研究 医疗服务研究
- 生物统计学 生物统计学
背景情况:
- 养老院居民面临着严重的死亡风险.
- 现有的工具,如健康变化,末期疾病,症状和体征 (CHESS) 尺度,需要提高精确的风险预测.
- 准确的死亡率预测对于有效的患者护理和长期护理机构的资源管理至关重要.
研究的目的:
- 描述四个连续季度养老院居民的死亡率.
- 为养老院居民制定最佳的死亡风险分类.
- 通过开发DeathRisk-NH尺度来扩展现有的CHESS尺度.
主要方法:
- 来自加拿大和美国养老院的最小数据集 (MDS) 数据的二次分析.
- 基于CHESS尺度的DeathRisk-NH尺度的开发,使用后勤回归来识别死亡预测因素.
- 包括MDS项目,重点关注临床复杂性,诊断条件和严重的临床困难.
主要成果:
- 死亡的养老院居民的百分比从3个月后的10.5%增加到12个月后的30.7%.
- 研究队列的平均年死亡率是全国平均水平的5.5倍.
- 在加拿大和美国队伍中观察到类似的居民特征 (ADL等级,流动性,禁欲,记忆力,CHESS分数).
结论:
- 死亡风险-NH尺度是预测养老院居民在入院第一年内死亡率的有效模型.
- 这种工具可以显著帮助患者护理规划和养老院资源分配.
- 死亡风险-NH尺度对于监测长期护理人口中过度死亡是有价值的.
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