Study on the Utilization of Inpatient Services for Middle-Aged and Elderly Rural Females in Less Developed Regions of China
Xiaotong Wen,
Lanyue Cui,
Fang Yuan,
Xiaojun Liu,
Mufeng Ouyang,
Yuxiao Sun,
Yuchen Liu,
Yong Liu,
Huiqiang Yu,
Huilie Zheng,
Yuanan Lu and
Zhaokang Yuan
Additional contact information
Xiaotong Wen: School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang 330006, China
Lanyue Cui: Queen Mary School, Nanchang University, Nanchang 330006, China
Fang Yuan: Office of Public Health Studies, University of Hawaii at Mānoa, Honolulu, HI 96822, USA
Xiaojun Liu: Global Health Institute, Wuhan University, Wuhan 430071, China
Mufeng Ouyang: Office of Public Health Studies, University of Hawaii at Mānoa, Honolulu, HI 96822, USA
Yuxiao Sun: Office of Public Health Studies, University of Hawaii at Mānoa, Honolulu, HI 96822, USA
Yuchen Liu: Office of Public Health Studies, University of Hawaii at Mānoa, Honolulu, HI 96822, USA
Yong Liu: School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang 330006, China
Huiqiang Yu: School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang 330006, China
Huilie Zheng: School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang 330006, China
Yuanan Lu: School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang 330006, China
Zhaokang Yuan: School of Public Health, Nanchang University, Nanchang, Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang 330006, China
IJERPH, 2020, vol. 17, issue 2, 1-18
Abstract:
The aim of this study is to understand the utilization of inpatient services and its contributing factors among middle-aged and elderly females (MAEF) in less developed rural regions. Five surveys were conducted between 2006 and 2014 with rural residents of Jiangxi by stratified cluster random sampling. Participant females included only those who were aged 45 and above. Complex sampling logistics analysis was performed to analyze the effect of three factors on inpatient service. Complex sampling logistics regression analysis revealed that the probability of hospitalization for the divorced or widowed females was significantly lower than that of married ones (aOR = 0.177, p < 0.05). However, the probability of early discharge was significantly higher among divorced or widowed females than married ones (aOR = 3.237, p < 0.05). In addition, females with chronic diseases were more likely to be hospitalized (aOR = 3.682, p < 0.05). Also, early discharge (aOR = 7.689, p < 0.05) occurred among the participants who should be hospitalized but were not hospitalized occurred (aOR = 3.258, p < 0.05). The continuous improvement of the new rural cooperative medical policy has promoted the utilization of inpatient services for the MAEF. Findings from this study emphasize the need to strengthen the prevention and treatment of chronic diseases among middle-aged and elderly women.
Keywords: less developed regions; rural; middle-aged and elderly; female; inpatient (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mdpi.com/1660-4601/17/2/514/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/2/514/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:2:p:514-:d:308430
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().