BACKGROUND
There is a growing need to accurately anticipate and respond to various risks associated with care for older adults. There is a lack of risk prediction models developed and validated in the nursing home setting.
OBJECTIVE
This review was conducted to scope and synthesize the existing evidence on the validated prediction models in nursing home setting.
METHODS
PRISMA guideline extension for scoping reviews (PRISMA-ScR) were used for study selection. PubMed and CINAHL databases were used to retrieve the studies. Articles published to Sep 30, 2023, were included.
RESULTS
A total of 17 papers were selected for final inclusion in this review. Outcomes of interest were hospitalization, fall, fall-related injury or fracture, NH related infection, pressure Injury, delirium, and mortality. Validation methods included internal validation(bootstrapping) and external validation calibration and discrimination). Reported C-statistics ranged from 0.6 to 0.8. MDS was mostly used as data source.
CONCLUSIONS
Nursing Homes are environments that can implement various prevention strategies to reduce the risk of deterioration in activities of daily living (ADLs) other than death, including fall-related injuries and fractures. Future research is needed to design and implement more personalized prevention strategies including considerations on pre-placement factors, quality of nursing home care, and risk scores calculated by validated prediction models.