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使用新的国家质量指标预测养老院居民的身体功能下降。

Physical function decline predictors in nursing home residents using new national quality indicators.

机构信息

Department of Home and Palliative Care Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Bunkyo-ku, Japan.

Department of Biostatistics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.

出版信息

Geriatr Gerontol Int. 2024 Jan;24(1):123-132. doi: 10.1111/ggi.14763. Epub 2023 Dec 9.

Abstract

AIM

To determine the predictors of physical function (PF) decline among nursing home residents using items from the Long-term care Information system For Evidence (LIFE), a system launched in 2021 to ensure the quality of long-term care.

METHODS

The LIFE data of 1648 residents from 45 nursing homes in Japan were retrospectively collected in July 2021 (T0) and January 2022 (T1), including demographics, PF assessed by the Barthel index (BI), nutrition and oral health, and cognitive function. The Dementia Behavior Disturbance scale was used to assess the frequency of certain behaviors, such as "waking at midnight." The predictors of PF decline, defined as a decrease ≥5 in the BI score at T1 compared with that at T0, were determined using mixed-effects logistic regression analyses. PF at T0 was classified into high (>60 BI) and low (≤60 BI) groups.

RESULTS

The participants' mean age was 87.2 ± 7.1 years, and 45.3% experienced PF decline. The significant predictors of PF decline were age ≥ 90 years, body mass index <18.5 kg/m , dementia diagnosis, moderate and severe cognitive impairments, not vocalizing reciprocal exchanges at will, always "waking at midnight," and high PF at T0.

CONCLUSIONS

The LIFE items predicted PF decline among nursing home residents, suggesting that LIFE data can be used to ensure the quality of long-term care. Geriatr Gerontol Int 2024; 24: 123-132.

摘要

目的

使用 2021 年推出的旨在确保长期护理质量的长期护理信息系统(LIFE)中的项目来确定养老院居民身体功能(PF)下降的预测因素。

方法

2021 年 7 月(T0)和 2022 年 1 月(T1)从日本 45 家养老院回顾性收集 LIFE 数据,共 1648 名居民,包括人口统计学、Barthel 指数(BI)评估的 PF、营养和口腔健康以及认知功能。使用痴呆行为障碍量表评估某些行为的频率,例如“午夜醒来”。使用混合效应逻辑回归分析确定 PF 下降的预测因素,PF 下降定义为 T1 时 BI 评分与 T0 相比下降≥5。T0 时 PF 分为高(>60 BI)和低(≤60 BI)组。

结果

参与者的平均年龄为 87.2±7.1 岁,45.3%经历了 PF 下降。PF 下降的显著预测因素为年龄≥90 岁、体重指数<18.5kg/m²、痴呆诊断、中重度认知障碍、不能随意进行语言交流、总是“午夜醒来”以及 T0 时 PF 较高。

结论

LIFE 项目预测了养老院居民 PF 的下降,表明 LIFE 数据可用于确保长期护理质量。老年医学与老年病学国际 2024;24:123-132。

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