Optimising care delivery models to support ageing-in-place 2015-2018

Huang, Junjie and Hadjri, Karim (2021). Optimising care delivery models to support ageing-in-place 2015-2018. [Data Collection]. Colchester, Essex: UK Data Archive. 10.5255/UKDA-SN-853182

Population ageing has been recognised for some time in European countries like UK and France. However, this has been acknowledged in China only recently but with more urgency due to the tremendous population size and predicted growth; China will have 64 older people for every 100 workers by 2025. China presents what is, in effect, a different ageing trajectory from European countries, and has unique characteristics shaped by its distinct historical, cultural, economic and political contexts. Recent demographic changes and significant economic transformations have led China to move from a traditional familial dominated elder system of care in which older people are being cared for by the extended family structure, to one which seeks to be based on efficient and sustainable social care support. The importance of building up a long-term care system to adequately and sensitively serve the diverse needs of ageing individuals appears however, self-evident for both Europe and China. In both settings, there is a persistently increasing trend for older people to choose to live independently in their own home (ageing-in-place). In Europe, care provision is being shifted to accommodate this trend, though it is acknowledged that this shift will require investment for homes that provide for independent or semi-independent living and that in doing so, can meet the range of later life physical needs. However, it is probable that targeted investment in adaptation for improved levels of accessibility and in specialised and/or supported housing for older people to live independently for longer in their own homes can lead to substantial cost savings in associated health and long-term care.
This research will attempt to contribute to the processes for meeting older people's needs in terms of these changes by exploring the relationships between living arrangement, living environment and the design of care delivery from technological, financial, political and social perspectives. Taking account of the factors that impact on the different ways in which older people in China, UK and France see care delivery, this proposal will build a common framework for the study of care delivery mechanisms and options available to older people that includes consideration of the role of cultural, socio-economic and welfare system dimensions. This will allow scenario building and in-depth comparative analyses among the three partner countries.
The study will use a mixed-method design, combining data mining and in-depth analysis, robust measures of the quality of the built environment, together with a participative action research approach to generate the engagement of key stakeholders and a range of qualitative data. It has six work packages which will be conducted in parallel in the three partner countries. The research will provide comparative studies and a synthesis that will inform recommendations to benefit China and Europe.
The study will help understand ageing-in-place in the three countries and will identify common features for integrated care under different policy and society circumstances. It will examine the potential of such models, their impact on improvement to the care of older people and finance implications. The involvement of academic and non-academic stakeholders will strengthen the methods, reach and impact of this research.

Data description (abstract)

This is a mixed methods project conducted in China, UK and France to gather information about older people’s experiences within their home environment and the assistive technologies used to support them so that to assess the feasibility of proposed recommendations for age-friendly housing environments.

This collection consists of survey, focus group and interview data. Each bundle belongs to one work package in the ODESSA project. All deposited data were collected by the ODESSA UK research team.
There are in total 6 different work packages in the ODESSA project. WP1 & WP6 were funded by NSFC of China, WP2 & WP5 by ANR France and WP3 & WP4 by ESRC UK. WP1 used CHARLS longitudinal surveys while WP2 used SHARE and ELSA longitudinal surveys. They did not generate new data only some analysis to inform WP6. WP5 conducted scoping studies on reverse mortgage, Viager and PPP and did not generate new datasets. WP6.1 produced a prediction model based on the CHARLS data. The UK team was responsible for WP3 & WP4 and for project management. WP6.2 was a new addition to the project once the team realised that WP6 could have a qualitative (WP6.2) and a quantitative (WP6.1) contribution.
The access information to the CHARLS, SHARE and ELSA datasets is provided in the related resources list and the notes on access.

Data creators:
Creator Name Affiliation ORCID (as URL)
Huang Junjie School of Architecture, University of Sheffield https://orcid.org/0000-0003-4484-2296
Hadjri Karim School of Architecture, University of Sheffield https://orcid.org/0000-0001-8243-8396
Contributors:
Name Affiliation ORCID (as URL)
Hadjri Karim School of Architecture, University of Sheffield https://orcid.org/0000-0001-8243-8396
Huang Junjie School of Architecture, University of Sheffield https://orcid.org/0000-0003-4484-2296
Morris David School of Social Work, Care and Community, University of Central Lancashire
Bola Manjit School of Social Work, Care and Community, University of Central Lancashire
Gadakari Tulika School of Art and Design, Faculty of Arts and Humanities, Coventry University
Wang Jingjing School of Architecture, University of Sheffield
Abubaca Aliyu School of Architecture, University of Sheffield
Sponsors: Economic and Social Research Council, National Natural Science Foundation of China, Agence Nationale de la Recherche
Grant reference: ES/L016095/1 & ES/L016095/2
Topic classification: Social welfare policy and systems
Housing and land use
Health
Demography (population, vital statistics and censuses)
Society and culture
Keywords: ageing, housing, care of the elderly, communities
Project title: Euro-China UPC: Optimising care delivery models to support ageing-in-place: towards autonomy, affordability and financial sustainability - ODESSA
Alternative title: ODESSA (Optimising care delivery models to support ageing-in-place)
Grant holders: Karim Hadjri, David Morris, Akintola Akintoye, Jez Buffin
Project dates:
FromTo
1 March 201528 February 2018
Date published: 13 Dec 2019 13:02
Last modified: 02 Sep 2021 08:20

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