THE PUBLIC ECONOMICS OF LONG-TERM CARE. A SURVEY OF RECENT CONTRIBUTIONS

2018 ◽  
Vol 89 (1) ◽  
pp. 49-63 ◽  
Author(s):  
Justina KLIMAVICIUTE ◽  
Pierre PESTIEAU
2022 ◽  
Author(s):  
Pierre Pestieau

Our societies are witnessing a steady increase in longevity. This demographic evolution is accompanied by some convergence across countries, but at the same time substantial longevity inequalities persist within nations across income classes. This Element aims to survey some crucial implications of changing longevity on the design of optimal public policy. For that purpose, it first focuses on some difficulties raised by risky and varying lifetime for the representation of individual and social preferences. Then, it explore some central implications of changing longevity for optimal policy making, regarding prevention against premature death, pension policies, education, health care and long-term care. The author distinguishes between the case when longevity is partially the responsibility of individuals and the case when longevity is plainly exogenous.


1989 ◽  
Vol 2 (1) ◽  
pp. 18-24
Author(s):  
Douglas H. Rapelje

After two years of design research, the near-term goal of the Senior Citizens Department, Regional Niagara, was to build innovative homes to address the issues and programs the studies revealed. The long-term objective was to build homes that would start to change the public perception of long-term care facilities. Featuringa “Town Square”, the home comprises five houses of 20 beds, each providing a different level of care. Corridors are a unique design, and each house has its own dining room facilities and activity room. A central Day Care lounge features dining room facilities for family and friends. The Department hopes the overall design will help to break down the stereotype image of long-term care design, an d provide a suitable environment for the mentally and physically frail, as well as ambulatory residents.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S802-S803
Author(s):  
Barbara Hanratty ◽  
Rachel Stocker ◽  
Katie Brittain

Abstract Patients and the public are involved in health and social care research more than ever before. Much effort has been put into developing patient and public involvement (PPI), and promoting co-production of research with patients and the public. Yet there is little guidance for researchers on how to involve PPI partners in the research process, or how involvement can be judged as meaningful. This presentation has its origins in the attempts of one research team to question and navigate a way of involving PPI in long term care research. In this presentation, we describe our model of collaborative qualitative data analysis with PPI partners, in a study exploring primary care services for older adults living in long-term care facilities in England. Anonymised interview transcript excerpts were presented in written, audio, and role-play format to our PPI partners. PPI partners derived meaning from interview data, identifying, confirming and critiquing emerging themes. Their input at this critical stage of the study deepened our initial analysis and prompted the research team to new and different interpretations of the data. This talk addresses ways of engaging PPI partners in innovative ways during data analysis, and offers other researchers some questions, challenges and potential principles for effective practice. We conclude that in areas such as long term care, with multiple stakeholders and a dynamic environment, effective PPI may be flexible, messy and difficult to define.


Author(s):  
Amy H. I. Lee ◽  
He-Yau Kang ◽  
Yu-Ai Liu

For many developed countries and regions, long-term care is becoming an important issue due to demographic changes and an increasing willingness and need of family members to let the elderly be taken care of by non-family members. Thus, effectively managing long-term care needs has become a major societal concern. In this paper, the public attitude towards long-term care and the satisfaction of long-term care services in Taiwan are examined. First, internal consistency reliability, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are applied to delete unimportant indicators. Second, structural equation modeling (SEM) is used to determine which indicators have a statistically significant influence on the public attitude toward long-term care and on the satisfaction of long-term care services. Third, artificial neural network (ANN) is applied to understand the relative importance of the indicators in influencing the public attitude and satisfaction of long-term care services. The contribution of this study is significant because some of the factors investigated in the study should be stressed by the government or institutions to provide more satisfactory services to the elderly and their families.


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