Viewing Study NCT04765696



Ignite Creation Date: 2024-05-06 @ 3:49 PM
Last Modification Date: 2024-10-26 @ 1:57 PM
Study NCT ID: NCT04765696
Status: ACTIVE_NOT_RECRUITING
Last Update Posted: 2023-10-05
First Post: 2021-02-16

Brief Title: Prospective RELOC-AGE How Do Housing Choices and Relocation Matter for Active Ageing
Sponsor: Lund University
Organization: Lund University

Study Overview

Official Title: Prospective RELOC-AGE How Do Housing Choices and Relocation Matter for Active Ageing
Status: ACTIVE_NOT_RECRUITING
Status Verified Date: 2023-10
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: RELOC-AGE
Brief Summary: The objective of prospective RELOC-AGE is to study housing choices and relocation and to examine the effects on active ageing among people aged 55 considering relocation All data collection will be conducted at baseline and after 1 3 5 and 7 years of follow-up
Detailed Description: The objective of prospective RELOC-AGE is to study housing choices and relocation and to examine the effects on active ageing among people aged 55 considering relocation

Research Questions

1 What aspects of housing health and participation predict a relocation to different housing options in the ordinary housing stock b residential care facilities c remaining in the present dwelling
2 How is the complex interaction between objective and perceived aspects of housing health and participation associated with active ageing and what are the patterns and characteristics of such dynamics
3 What housing attributes do people aged 55 considering relocation find important and to what extent when making their decisions on housing preferences
4 How do people aged 55 considering relocation reason a regarding different housing options b motives for considering and effectuating relocation and c to what extent are their motives fulfilled

The sample will include people aged 55 considering relocation Recruitment will be made from a sub-sample based on waiting lists n22 000 among three housing companies in Sweden Karlshamnsbostäder AB Örebrobostäder AB and Riksbyggen The expected final sample size is n3000 Quantitative data will be collected through a web survey and one telephone interview at baseline 2021 and by a web survey at follow-ups 2022 2024 2026 and 2028 Data on primary and secondary outcomes are based on established questionnaires used in previous research on older people health and housing as well as in national public health surveys in Sweden In addition to primary and secondary outcomes presented below the surveys include demographic and socioeconomic characteristics including civil status education level economic situation occupational status holding a driver license critical life events eg death of spouse long-term disease divorce original nationality questions about present housing situation dwelling characteristics eg type and size of dwelling location and neighborhood characteristics eg access to services and green areas potential and realized mobility socialcohabiting situation time spent at home housing adaptations use of technical aids for mobility use of health social and informal care thoughts about future housing reasons related to consideration about relocating and moving intentions Data on stated preferences in relation to housing will be collected in a specific survey based on a discrete choice methodology Qualitative interviews will be conducted consecutively with a subsample n100 of respondents who have relocated during the follow-up period Further linking to register data will be made within the scope of Register RELOC-AGE which is another part of the larger project

For quantitative data descriptive exploratory and inferential statistics will be used For longitudinal analyses generalized linear models or Cox regression with time-dependent covariates will be applied Throughout we will control for demographic and socioeconomic characteristics and other potential confounders and compare the results across different cohorts Quantitative analyses will be conducted using standard statistical software For analyses of DCE data we will use the conditional logit model also referred to as the multinomial logit model as the reference model but the analysis will be extended to mixed logit and latent class models to take preference heterogeneity into account Qualitative interviews will be audio-recorded and transcribed verbatim and principles from Grounded Theory will be used for the analysis

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None