Kitazawa Kazuki, Tsuchiya Kenji, Hirao Kazuki, Furukawa Tomomi, Tozato Fusae, Iwaya Tsutomu, Mitsui Shinichi
Department of Rehabilitation, Faculty of Health Sciences, Nagano University of Health and Medicine, Nagano, Japan.
Department of Rehabilitation Sciences, Gunma University Graduate School of Health Sciences, Maebashi, Japan.
Health Serv Res Manag Epidemiol. 2024 Apr 24;11:23333928241247027. doi: 10.1177/23333928241247027. eCollection 2024 Jan-Dec.
The Kihon Checklist (KCL) is valuable for predicting long-term care (LTC) certification. However, the precise association between KCL scores and the temporal dynamics of LTC need certification remains unclear. This study clarified the characteristic trajectory of KCL scores in individuals certified for LTC need.
The KCL scores spanning from 2011 to 2019 were obtained from 5630 older individuals, including those certified for LTC need in November 2020, in Iiyama City, Nagano, Japan. We analyzed the KCL score trajectories using a linear mixed model, both before and after propensity score matching.
Throughout the 9-year observation period, the KCL scores consistently remained higher in the certified group compared to the non-certified group. Notably, a significant score increase occurred within the 3 years preceding LTC certification.
Our findings highlight the effectiveness of continuous surveillance using the KCL in identifying individuals likely to require LTC within a few years.
基宏检查表(KCL)对于预测长期护理(LTC)认证很有价值。然而,KCL评分与LTC需求认证的时间动态之间的确切关联仍不清楚。本研究阐明了LTC需求认证个体的KCL评分特征轨迹。
从日本长野县饭山市的5630名老年人中获取了2011年至2019年的KCL评分,其中包括2020年11月认证为有LTC需求的个体。我们在倾向得分匹配前后,使用线性混合模型分析了KCL评分轨迹。
在整个9年的观察期内,认证组的KCL评分始终高于未认证组。值得注意的是,在LTC认证前3年内,评分显著增加。
我们的研究结果强调了使用KCL进行持续监测在识别几年内可能需要LTC的个体方面的有效性。