Original ArticleDevelopment and preliminary psychometric evaluation of an owner-completed measure of feline quality of life
Introduction
Due to improved healthcare and longevity, health-related quality of life (HRQoL) has been increasingly studied in companion animals (Niessen et al., 2010, Lynch et al., 2011, Lavan, 2013). HRQoL is considered a multi-dimensional concept (Lavan, 2013, Mullan, 2015), representing both physical (including comfort/discomfort) and non-physical factors (feelings felt by animals). Assessing these concepts in animals in a valid and reliable way is challenging (McMillan, 2000). However, measuring HRQoL can help to influence treatment decisions, and aid veterinarians and pet owners in tracking changes in HRQoL over time. The Food and Drug Administration (FDA) patient-reported outcome (PRO) guidance1 outlines robust methods for the development and validation of human PROs and HRQoL measures (Campbell and Fiske, 1959, Nunnally, 1994, Marquis et al., 2006, Streiner et al., 2008, Lasch et al., 2010). Such methods have been applied to companion animal HRQoL measures, using in-depth qualitative research in the target population (i.e. pet owners), to identify relevant concepts (McMillan, 2000, Niessen et al., 2010, Lynch et al., 2011), and to inform question (item) development and comprehensiveness of concepts assessed, as well as reliability and validity using statistical methods. Validity establishes whether measures assess concepts they were designed to measure; reliability indicates the accuracy of assessing responses over time (Yeates and Main, 2009).1
Arguably, challenges in developing an animal HRQoL assessment are similar to those in developing observer-reported outcome (ObsRO) measures in non-verbal human paediatric populations (Patrick et al., 2011, Arbuckle and Abetz-Webb, 2013); there is a need to measure observable behaviours that can be accurately and consistently rated (Yeates and Main, 2009, Arbuckle and Abetz-Webb, 2013, Matza et al., 2013).
Numerous disease-specific HRQoL measures have been developed for dogs and cats (Freeman et al., 2005, Yazbek and Fantoni, 2005, Brown et al., 2007, Budke et al., 2008, Hielm-Bjorkman et al., 2009, Favrot et al., 2010, Niessen et al., 2010, Lynch et al., 2011, Noli et al., 2011, Iliopoulou et al., 2013, Lavan, 2013, Belshaw et al., 2015, Bijsmans et al., 2015); however, there is a paucity of HRQoL measures for the broad feline population (Bijsmans et al., 2015, Freeman et al., 2016). This paper describes the development and psychometric evaluation of an owner-completed measure to assess feline QoL in veterinary clinical practice.
Section snippets
Materials and methods
Fig. 1 provides a methodological overview of the development and validation of a feline QoL measure, including an online survey, qualitative interviews with pet owners and a quantitative observational study.
Demographics
In the psychometric study, 199 pet owners completed the feline measure (Table 1). The mean age of cats was 7.6 years and 60.3% were male. The average length of time owners had spent with their cats was 6.8 years.
Item level and dimensionality results
Completion rates were excellent, with no missing data. Item response distributions were highly skewed towards the positive end of the scale (i.e. indicating good QoL) and ceiling effects were present on all 22 items (>20% selecting the highest response option). Items 5, 15, 17 and 20
Discussion
The feline QoL measure was developed following best practice methods for development and validation of Clinical Outcome Assessments (Nunnally, 1994, Marquis et al., 2006, Lasch et al., 2010),1,2 analysing qualitative data from pet
Conclusions
HRQoL is increasingly important in companion animal medicine. This study developed and evaluated the content and psychometric properties of an owner-completed assessment of health and QoL in cats for use in general veterinary clinical practice. The final 16-item feline QoL measure had strong cross-sectional psychometric properties. This study provides evidence that the feline QoL measure has strong content and construct validity and reliability with healthy cats in the USA. With additional
Conflict of interest statement
None of the authors of this paper has a financial or personal relationship with other people or organisations that could inappropriately influence or bias the content of the paper.
Sophi Tatlock, Nicola Williamson and Rob Arbuckle are employees of Adelphi Values, a consultancy paid by Zoetis to perform the study and develop the manuscript. Margaret Gober is an employee of Zoetis.
Acknowledgements
This study was funded by Zoetis. We would like to thank Nancy Postorino-Reeves for her valuable input in the development of the tool and all of the cat owners who participated in the research. Please contact the developers for requests to use the feline QoL measure.
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