Factors Influencing Hospitalization of Nursing Home Residents in Korea Using Regularized Negative Binomial Regression

Abstract

The appropriateness of hospitalization for nursing home (NH) residents is still up for debate, with determining factors including timeliness, available treatment, healthcare staff, medication options in hospitals, and safety issues. Although the factors leading to hospitalization have been studied expansively, research on staffing is limited. Thus, this study aimed to investigate organizational predictors, nurse staffing, and government incentives and find important factors to hospitalization due to infection or disease among NH residents in Korea. A cross-sectional design was used, and data were collected via survey from a total of 51 NHs from August 27, 2021 to March 25, 2022. A total of 32 explanatory variables were included. The response variable was the count of hospitalized residents due to infection or disease. We analyzed data using least absolute shrinkage and negative binomial regression. We found that registered nurses’ increased hours per resident day were related to decreased hospitalizations due to infection or disease. Appropriate retention and recruitment of nurse staffing with professional leadership should be performed to increase the quality of care for NH residents.