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Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
Published on: September 30, 2020
Physical function decline predictors in nursing home residents using new national quality indicators
Maiko Noguchi-Watanabe1, Takako Ishikawa1, Kasumi Ikuta1
1Department of Home and Palliative Care Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Bunkyo-ku, Japan.
Predictors of physical function decline in nursing home residents were identified using the Long-term care Information system For Evidence (LIFE). Key factors include advanced age, low BMI, dementia, and cognitive impairment.
Area of Science:
- Gerontology
- Geriatric Medicine
- Long-term Care Quality
Background:
- Physical function (PF) decline is a significant concern for nursing home residents, impacting quality of life and care needs.
- Identifying predictors of PF decline is crucial for developing targeted interventions and improving care quality.
Purpose of the Study:
- To determine the predictors of physical function decline among nursing home residents.
- To evaluate the utility of the Long-term care Information system For Evidence (LIFE) in identifying these predictors.
Main Methods:
- Retrospective analysis of data from 1648 nursing home residents in Japan using the LIFE system.
- Assessment of demographics, physical function (Barthel Index), nutrition, oral health, and cognitive function.
- Mixed-effects logistic regression used to identify predictors of PF decline (defined as a decrease ≥5 in BI score).
Main Results:
- 45.3% of residents experienced physical function decline.
- Significant predictors included advanced age (≥90 years), low body mass index (<18.5 kg/m²), dementia diagnosis, moderate to severe cognitive impairment, and specific behavioral indicators.
- High physical function at baseline was also a predictor of decline.
Conclusions:
- The Long-term care Information system For Evidence (LIFE) effectively identified predictors of physical function decline in nursing home residents.
- LIFE data holds potential for monitoring and enhancing the quality of long-term care.
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