Summary information

Study title

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

Creator

Huang, J, School of Architecture, University of Sheffield
Hadjri, K, School of Architecture, University of Sheffield

Study number / PID

853182 (UKDA)

10.5255/UKDA-SN-853182 (DOI)

Data access

Restricted

Series

Not available

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.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...
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Methodology

Data collection period

01/03/2015 - 28/02/2018

Country

United Kingdom, China, France

Time dimension

Not available

Analysis unit

Individual
Group

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric
Text

Data collection mode

The methods used in the data collection include questionnaire surveys, focus groups, interviews. WP3: A mixed methods approach was employed. A survey instrument was developed to collect a range of personal, accommodation and connection data. Qualitative data to provide additional information on perceived enablers and barriers was collected through focus groups.WP4: Focus groups were 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. Interview with Chinese stakeholders (academic researchers and practitioners) were also carried out to understand older people’s housing choices as well as establish physical design factors, challenges and potentials of residential design for older people.WP6 Part 2: Based on the research findings in the ODESSA project, twelve scenarios were developed. Two public events were held in Beijing to collect people's scaled evaluation feedbacks on the plausibility and robustness, importance, value, optimism and acceptance of these scenarios. Comments were also collected for qualitative analysis.

Funding information

Grant number

ES/L016095/1 & ES/L016095/2

Access

Publisher

UK Data Service

Publication year

2019

Terms of data access

The Data Collection is available for download to users registered with the UK Data Service.

Related publications

Not available