Development, validation and reliability of a web-based questionnaire to measure health-related quality of life in dogs

Reid, J., Wiseman-Orr, M.L., Scott, E.M. and Nolan, A.N. (2013) Development, validation and reliability of a web-based questionnaire to measure health-related quality of life in dogs. Journal of Small Animal Practice, 54(5), pp. 227-233. (doi:10.1111/jsap.12059)

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Abstract

Objectives: To describe the development, preliminary validation and reliability testing of a shortened web-based form of GUVQuest, a structured questionnaire to measure health-related quality of life in dogs.

Methods: The original 109 items were reduced using expert judgement and factor analysis. Validity was established by factor analysis and in a subsequent field trial using a “known groups” approach and classical test theory. Test–retest reliability was assessed using intraclass correlation coefficients.

Results: The instrument comprises 46 items each of which is rated by dog owners using a 7-point Likert scale. Factor analysis revealed a sensible structure containing four health-related quality of life domains (vitality, pain, distress and anxiety) accounting for 64·1% of the variability in the data. The field test involving 125 dogs demonstrated very good discriminative properties and intraclass correlation coefficient values of greater than 0·6.

Clinical Significance: This is the first report of a valid and reliable companion animal health-related quality of life instrument, the contemporary approach to animal welfare measurement, which is presented in a web-based format, with automated production of a health-related quality of life profile. It offers major advantages to dog owners, practitioners and researchers.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Scott, Professor E Marian and Wiseman-Orr, Dr Margaret and Reid, Professor Jacqueline
Authors: Reid, J., Wiseman-Orr, M.L., Scott, E.M., and Nolan, A.N.
College/School:College of Medical Veterinary and Life Sciences > School of Veterinary Medicine
College of Science and Engineering > School of Mathematics and Statistics
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Journal of Small Animal Practice
Publisher:Wiley-Blackwell Publishing Ltd.
ISSN:0022-4510
ISSN (Online):1748-5827

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