Escalation on Kihon Checklist Scores Preceding the Certification of Long-Term Care Need in the Older Population in Japan. A 9-Year Retrospective Study.

IF 1.5 Q3 HEALTH POLICY & SERVICES Health Services Research and Managerial Epidemiology Pub Date : 2024-04-24 eCollection Date: 2024-01-01 DOI:10.1177/23333928241247027
Kazuki Kitazawa, Kenji Tsuchiya, Kazuki Hirao, Tomomi Furukawa, Fusae Tozato, Tsutomu Iwaya, Shinichi Mitsui
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Abstract

Objectives: 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.

Methods: 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.

Results: 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.

Discussion: Our findings highlight the effectiveness of continuous surveillance using the KCL in identifying individuals likely to require LTC within a few years.

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日本老年人口在获得长期护理需求认证前的 Kihon 检查表评分升级。一项为期 9 年的回顾性研究。
目的:Kihon 检查表(KCL)对预测长期护理(LTC)认证很有价值。然而,KCL 分数与 LTC 需求认证的时间动态之间的确切联系仍不清楚。本研究阐明了获得长期护理需求认证的个人的 KCL 分数的特征轨迹:我们从日本长野县饭山市的 5630 名老年人(包括 2020 年 11 月获得 LTC 需求认证的老年人)中获得了 2011 年至 2019 年的 KCL 分数。我们使用线性混合模型分析了倾向得分匹配前后的 KCL 分数轨迹:结果:在长达 9 年的观察期内,获得认证组的 KCL 分数始终高于未获得认证组。值得注意的是,在获得 LTC 认证前的 3 年内,得分出现了明显的增长:我们的研究结果凸显了使用 KCL 进行持续监测在识别几年内可能需要 LTC 的人群方面的有效性。
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来源期刊
CiteScore
1.60
自引率
6.20%
发文量
32
审稿时长
12 weeks
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