{"title":"中国养老院分布现状:全国横断面研究","authors":"Meng‐Wei Ge, Peng Liu, Hai‐Yan Shi, Xiao‐Min Li, Fei‐Hong Hu, Yi‐Jie Jia, Lu‐Ting Shen, Xiao‐Peng Xia, Hong‐Lin Chen","doi":"10.1111/jan.16505","DOIUrl":null,"url":null,"abstract":"AimsPopulation aging is a challenge that the whole world is facing, especially in China. This study aims to investigate the current distribution status of nursing homes in China using spatial epidemiology methods.DesignCross‐sectional study in China.MethodsThe data were obtained from the Integrated Civil Affairs Government Service Platform ‘China County Statistical Yearbook’ for 2020 and the ‘China City Statistical Yearbook’ for 2020. Using global Moran's index to test the clustering of nursing homes, inter‐group and intra‐group Theil index was utilised to differentiate the sources of differences. The coupling coordination analysis was conducted to explore the coordination. Geographically weighted regression was utilised to investigate the impact of economic development and aging on nursing home resources. All analyses were conducted by Arcgis 10.8 and R Studio 4.3.2.ResultsGlobal Moran's index indicated that the distribution of nursing homes in China exhibited clustering. The Theil index values for institutions and beds at the national county were 0.32450 and 0.30675. However, upon comparing provinces and regions, it was found that the differences across the country mainly stem from within provinces (contribution rate: institutions 65.0%; beds 73.0%) and within regions (contribution rate: institutions 99.0%; beds 91.0%). The majority of districts and counties had a coupling coordination index of institutions and bed numbers, both of which were < 0.5.ConclusionThe development of nursing home resources in China has been rapid, generally presenting a balanced state, but further optimisation is needed. This study established a foundation for the targeted distribution of essential public services, focusing on nursing home healthcare resources tailored to the needs of older persons.ImplicationsThe study underscored the urgent need for targeted elderly care policies, emphasising the optimisation of resource distribution to enhance the overall quality of care provided to the aging population.No Patients or Public ContributionThe study did not involve humans.","PeriodicalId":54897,"journal":{"name":"Journal of Advanced Nursing","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Current Status of Nursing Home Distribution in China: A National Cross‐Sectional Study\",\"authors\":\"Meng‐Wei Ge, Peng Liu, Hai‐Yan Shi, Xiao‐Min Li, Fei‐Hong Hu, Yi‐Jie Jia, Lu‐Ting Shen, Xiao‐Peng Xia, Hong‐Lin Chen\",\"doi\":\"10.1111/jan.16505\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AimsPopulation aging is a challenge that the whole world is facing, especially in China. This study aims to investigate the current distribution status of nursing homes in China using spatial epidemiology methods.DesignCross‐sectional study in China.MethodsThe data were obtained from the Integrated Civil Affairs Government Service Platform ‘China County Statistical Yearbook’ for 2020 and the ‘China City Statistical Yearbook’ for 2020. Using global Moran's index to test the clustering of nursing homes, inter‐group and intra‐group Theil index was utilised to differentiate the sources of differences. The coupling coordination analysis was conducted to explore the coordination. Geographically weighted regression was utilised to investigate the impact of economic development and aging on nursing home resources. All analyses were conducted by Arcgis 10.8 and R Studio 4.3.2.ResultsGlobal Moran's index indicated that the distribution of nursing homes in China exhibited clustering. The Theil index values for institutions and beds at the national county were 0.32450 and 0.30675. However, upon comparing provinces and regions, it was found that the differences across the country mainly stem from within provinces (contribution rate: institutions 65.0%; beds 73.0%) and within regions (contribution rate: institutions 99.0%; beds 91.0%). The majority of districts and counties had a coupling coordination index of institutions and bed numbers, both of which were < 0.5.ConclusionThe development of nursing home resources in China has been rapid, generally presenting a balanced state, but further optimisation is needed. This study established a foundation for the targeted distribution of essential public services, focusing on nursing home healthcare resources tailored to the needs of older persons.ImplicationsThe study underscored the urgent need for targeted elderly care policies, emphasising the optimisation of resource distribution to enhance the overall quality of care provided to the aging population.No Patients or Public ContributionThe study did not involve humans.\",\"PeriodicalId\":54897,\"journal\":{\"name\":\"Journal of Advanced Nursing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advanced Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/jan.16505\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jan.16505","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
Current Status of Nursing Home Distribution in China: A National Cross‐Sectional Study
AimsPopulation aging is a challenge that the whole world is facing, especially in China. This study aims to investigate the current distribution status of nursing homes in China using spatial epidemiology methods.DesignCross‐sectional study in China.MethodsThe data were obtained from the Integrated Civil Affairs Government Service Platform ‘China County Statistical Yearbook’ for 2020 and the ‘China City Statistical Yearbook’ for 2020. Using global Moran's index to test the clustering of nursing homes, inter‐group and intra‐group Theil index was utilised to differentiate the sources of differences. The coupling coordination analysis was conducted to explore the coordination. Geographically weighted regression was utilised to investigate the impact of economic development and aging on nursing home resources. All analyses were conducted by Arcgis 10.8 and R Studio 4.3.2.ResultsGlobal Moran's index indicated that the distribution of nursing homes in China exhibited clustering. The Theil index values for institutions and beds at the national county were 0.32450 and 0.30675. However, upon comparing provinces and regions, it was found that the differences across the country mainly stem from within provinces (contribution rate: institutions 65.0%; beds 73.0%) and within regions (contribution rate: institutions 99.0%; beds 91.0%). The majority of districts and counties had a coupling coordination index of institutions and bed numbers, both of which were < 0.5.ConclusionThe development of nursing home resources in China has been rapid, generally presenting a balanced state, but further optimisation is needed. This study established a foundation for the targeted distribution of essential public services, focusing on nursing home healthcare resources tailored to the needs of older persons.ImplicationsThe study underscored the urgent need for targeted elderly care policies, emphasising the optimisation of resource distribution to enhance the overall quality of care provided to the aging population.No Patients or Public ContributionThe study did not involve humans.
期刊介绍:
The Journal of Advanced Nursing (JAN) contributes to the advancement of evidence-based nursing, midwifery and healthcare by disseminating high quality research and scholarship of contemporary relevance and with potential to advance knowledge for practice, education, management or policy.
All JAN papers are required to have a sound scientific, evidential, theoretical or philosophical base and to be critical, questioning and scholarly in approach. As an international journal, JAN promotes diversity of research and scholarship in terms of culture, paradigm and healthcare context. For JAN’s worldwide readership, authors are expected to make clear the wider international relevance of their work and to demonstrate sensitivity to cultural considerations and differences.