{"title":"利用正则化负二叉回归分析韩国养老院住院患者住院的影响因素。","authors":"Juh H Shin, Sun O Jung, Eun J Min","doi":"10.1177/15271544241259427","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":53177,"journal":{"name":"Policy, Politics, and Nursing Practice","volume":" ","pages":"141-151"},"PeriodicalIF":2.1000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors Influencing Hospitalization of Nursing Home Residents in Korea Using Regularized Negative Binomial Regression.\",\"authors\":\"Juh H Shin, Sun O Jung, Eun J Min\",\"doi\":\"10.1177/15271544241259427\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":53177,\"journal\":{\"name\":\"Policy, Politics, and Nursing Practice\",\"volume\":\" \",\"pages\":\"141-151\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Policy, Politics, and Nursing Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/15271544241259427\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Policy, Politics, and Nursing Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15271544241259427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Factors Influencing Hospitalization of Nursing Home Residents in Korea Using Regularized Negative Binomial Regression.
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.
期刊介绍:
Policy, Politics & Nursing Practice is a quarterly, peer-reviewed journal that explores the multiple relationships between nursing and health policy. It serves as a major source of data-based study, policy analysis and discussion on timely, relevant policy issues for nurses in a broad variety of roles and settings, and for others outside of nursing who are interested in nursing-related policy issues.