Measuring the quality of life and well-being of people with dementia: A review of observational measures

Algar, K. and Woods, R.T. and Windle, G. (2014) Measuring the quality of life and well-being of people with dementia: A review of observational measures. Dementia: the International Journal of Social Research and Practice. DOI: 10.1177/1471301214540163

Full-text not available from this repository..


The dynamic nature of psychosocial interventions implies that trying to measure their effects using standardised clinical trial measures may not capture their full effects. Rich and valuable data during the sessions may be missed by using standard quality of life questionnaires. This paper compares observational measures in the context of recording the well-being of a person with dementia during and outside of a visual arts intervention. A literature search was conducted using systematic principles of searching, screening and retrieval to identify peer-reviewed English language evaluations of research projects using observational measures with people with dementia. Psychometric properties, strengths and weaknesses of 11 observational tools are reviewed in order to identify the most appropriate one for evaluating a visual art intervention for people with dementia. This review supports the Greater Cincinnati Chapter Well-Being Observation Tool as an appropriate measure to evaluate a visual art programme for people with dementia. The results of this review will help researchers plan projects to show the full range of effects for people with dementia for taking part in art sessions.

Item Type: Article
Subjects: Research Publications
Departments: College of Health and Behavioural Sciences > Institute of Medical & Social Care Research
Date Deposited: 09 Dec 2014 16:29
Last Modified: 16 Dec 2015 03:38
ISSN: 1471-3012
URI: http://e.bangor.ac.uk/id/eprint/263
Identification Number: DOI: 10.1177/1471301214540163
Publisher: Sage Publications
Administer Item Administer Item

eBangor is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.