Modes and models of care delivery in municipal long-term care services: a cross-sectional study from Norway

Author:

Rostad Hanne Marie,Skinner Marianne Sundlisæter,Wentzel-Larsen Tore,Hellesø Ragnhild,Sogstad Maren Kristine Raknes

Abstract

Abstract Background Numerous forces drive the evolution and need for transformation of long-term care services. Decision-makers across the globe are searching for models to redesign long-term care to become more responsive to changing health and care needs. Yet, knowledge of different care models unfolding in the long-term care service landscape is limited. The objective of this article is twofold: 1) to identify and characterise models of care in Norwegian municipal long-term care services based on four different modes of service delivery: Specialised municipal services, Assistive technology, Planning and coordination, and Health Promotion and Activity, and 2) to analyse whether the identified care models vary with regard to municipal characteristics, more specifically ‘population size’ and ‘income’. Methods We adopted a cross-sectional approach and used data from a web-based survey conducted in 2019 to identify and characterize models of care in Norwegian long-term care services, based on four modes of service delivery. The questionnaire was developed through a comprehensive review of national healthcare policy documents and previous research and amended in collaboration with a user panel. A set of questions from the questionnaire were used to create four modes of service delivery. Hierarchical cluster analysis was used to cluster the municipalities based on the mean scores of the modes to identify care models. Results In total, 277 municipalities (response rate 66%) completed the survey. The four modes made it possible to identify four care models that differ on the level of Specialised municipal services, Assistive technology, Planning and coordination, and Health Promotion and Activity. Additionally, the models differed regarding municipal population size (p < 0.001) and income (p = 0.006). Conclusions We put forward a theoretical description of the variety of ways long-term care services are provided, offering a way of simplifying complex information which can assist care providers and policymakers in analysing and monitoring their own service provision and making informed decisions. This is important to the development of services for current and future care needs.

Funder

Norges Forskningsråd

NTNU Norwegian University of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Health Policy

Reference61 articles.

1. European Commission report on the impact of demographic change. https://ec.europa.eu/info/files/report-impact-demographic-change-reader-friendly-version-0_en. Accessed 1 Mar 2022.

2. The Asian Development Bank. The road to better long-term care in Asia and the Pacific—building systems of care and support for older persons. 2022. https://doi.org/10.22617/TCS220199-2. Accessed 16 Mar 2023.

3. Agyemang FA. Long-term care and caregiving for older adults in Africa. AARP International; 2021. https://www.aarpinternational.org/file%20library/aarpthejournal/agyemang-2021aarpjournal.doi.10.26419-2fint.00051.020.pdf. Accessed 16 March 2023.

4. Butler SM. The challenging future of long-term care for older adults. JAMA Health Forum. 2022;3(5):e222133.

5. OECD/EU. Health at a glance: Europe 2016 – state of health in the EU Cycle. 2016. https://doi.org/10.1787/9789264265592-en.  Accessed 10 Feb 2022.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3