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

Author:

Noguchi‐Watanabe Maiko1ORCID,Ishikawa Takako1ORCID,Ikuta Kasumi1ORCID,Aishima Miya1ORCID,Nonaka Sayuri1,Takahashi Kunihiko2ORCID,Anzai Tatsuhiko2ORCID,Fukui Sakiko1ORCID

Affiliation:

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

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

Abstract

AimTo 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.MethodsThe 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.ResultsThe 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/m2, dementia diagnosis, moderate and severe cognitive impairments, not vocalizing reciprocal exchanges at will, always “waking at midnight,” and high PF at T0.ConclusionsThe 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.

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

General Medicine

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