Efficiency of nursing-homes in Israel: A comparison between private, non-profit and governmental nursing-homes
Jaudat Khalaily
Additional contact information
Jaudat Khalaily: Alexandru Ioan Cuza University, Iasi, Romania
Network Intelligence Studies, 2023, issue 22, 103-118
Abstract:
This article explores the satisfaction of elderlies from their nursing home (NH), while examining how the type of the NH (private, governmental, or associational) and the funding of an elderly (private or public) affects the efficiency of NHs and consequently its impact on elderlies' satisfaction from their NHs. The research confirms that governmental nursing homes are less efficient, and consequently elderlies feel less satisfied from their care than private and associational ones. Another explanation for the high satisfaction from the private and associational nursing homes is that elderlies in an NH prefer to receive large rooms, good quality food, and quick response from the nursing home staff. These services are less available in governmental nursing homes, where the ratio of elderlies to one staff is higher than in non-profit and private NHs. The rate of satisfaction regarding the associational nursing homes are found in the middle between the other two. These associational nursing homes scored higher on satisfaction than the governmental, but less than the private ones.
Keywords: nursing homes; satisfaction; types of nursing homes; funding for nursing homes; management of nursing homes in Israel; Covid-19 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/NIS_22_2.pdf (application/pdf)
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:cmj:networ:y:2023:i:22:p:103-118
Access Statistics for this article
Network Intelligence Studies is currently edited by Romanian Foundation for Business Intelligence
More articles in Network Intelligence Studies from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().