Cory E Noble1, Lesley M Wiseman-Orr2, Marian E Scott2, Andrea M Nolan3, Jacky Reid1,4. 1. 1 NewMetrica, Glasgow, UK. 2. 2 School of Mathematics and Statistics, University of Glasgow, Glasgow, UK. 3. 3 Edinburgh Napier University, Sighthill Campus, Edinburgh, UK. 4. 4 College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Abstract
OBJECTIVES: The objective of this study was to develop a valid, reliable, web-based generic feline health-related quality-of-life (HRQoL) questionnaire instrument to measure the affective impact of chronic disease. METHODS: A large initial item pool, obtained through interviews with cat owners, was reduced using predetermined criteria, survey scores for relevance and clarity, and the ability of individual items to discriminate between healthy and sick cats when owners completed a prototype questionnaire. Using these data, factor analysis was used to derive a scoring algorithm and provide evidence for factorial validity. Validity was demonstrated further in a field trial using a 'known groups' approach (sick vs healthy cats will have a different HRQoL profile, and the HRQoL profile of cats will deteriorate as comorbidities increase). Test-retest reliability was assessed using intra-class correlation coefficients (ICCs). RESULTS: In total, 165 items were reduced to 20 and, on the basis of a factor analysis that explained 72.3% of the variation in scores input by 71 owners of 30 healthy and 41 sick cats using the prototype, these were allocated to three domains (vitality, comfort and emotional wellbeing [EWB]) with a scoring algorithm derived using item loadings. Subsequently, the owners of 36 healthy and 58 sick cats completed one or two (n = 48) assessments. Median scores (healthy vs sick) for all domains were significantly different ( P <0.001), 78% of cats were correctly classified as healthy or sick and for comorbidities the correlation coefficients were moderate (vitality 0.64; comfort 0.63; EWB 0.50). Test-retest reliability was good (ICC vitality 0.635; comfort 0.716; EWB 0.853). CONCLUSIONS AND RELEVANCE: This study provides initial evidence for the validity and reliability of a novel HRQoL instrument to aid the assessment and management of chronic diseases of cats.
OBJECTIVES: The objective of this study was to develop a valid, reliable, web-based generic feline health-related quality-of-life (HRQoL) questionnaire instrument to measure the affective impact of chronic disease. METHODS: A large initial item pool, obtained through interviews with cat owners, was reduced using predetermined criteria, survey scores for relevance and clarity, and the ability of individual items to discriminate between healthy and sick cats when owners completed a prototype questionnaire. Using these data, factor analysis was used to derive a scoring algorithm and provide evidence for factorial validity. Validity was demonstrated further in a field trial using a 'known groups' approach (sick vs healthy cats will have a different HRQoL profile, and the HRQoL profile of cats will deteriorate as comorbidities increase). Test-retest reliability was assessed using intra-class correlation coefficients (ICCs). RESULTS: In total, 165 items were reduced to 20 and, on the basis of a factor analysis that explained 72.3% of the variation in scores input by 71 owners of 30 healthy and 41 sick cats using the prototype, these were allocated to three domains (vitality, comfort and emotional wellbeing [EWB]) with a scoring algorithm derived using item loadings. Subsequently, the owners of 36 healthy and 58 sick cats completed one or two (n = 48) assessments. Median scores (healthy vs sick) for all domains were significantly different ( P <0.001), 78% of cats were correctly classified as healthy or sick and for comorbidities the correlation coefficients were moderate (vitality 0.64; comfort 0.63; EWB 0.50). Test-retest reliability was good (ICC vitality 0.635; comfort 0.716; EWB 0.853). CONCLUSIONS AND RELEVANCE: This study provides initial evidence for the validity and reliability of a novel HRQoL instrument to aid the assessment and management of chronic diseases of cats.
Authors: Barr N Hadar; Kenneth J Lambrecht; Zvonimir Poljak; Jason B Coe; Elizabeth A Stone; Adronie Verbrugghe; Theresa M Bernardo Journal: J Feline Med Surg Date: 2021-10-21 Impact factor: 1.971
Authors: Imogen Schofield; Dan G O'Neill; Dave C Brodbelt; David B Church; Rebecca F Geddes; Stijn J M Niessen Journal: J Vet Intern Med Date: 2019-10-29 Impact factor: 3.333