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Published on: February 22, 2019
Item generation and design testing of a questionnaire to assess degenerative joint disease-associated pain in cats
Helia Zamprogno1, Bernie D Hansen, Howard D Bondell
1Comparative Pain Research Laboratory & Center for Comparative Medicine and Translational Research, College of Veterinary Medicine, University of North Carolina, Raleigh, NC 27606, USA.
Objective:
To determine the items (question topics) for a subjective instrument to assess degenerative joint disease (DJD)-associated chronic pain in cats and determine the instrument design most appropriate for use by cat owners.
Animals:
100 randomly selected client-owned cats from 6 months to 20 years old.
Procedures:
Cats were evaluated to determine degree of radiographic DJD and signs of pain throughout the skeletal system. Two groups were identified: high DJD pain and low DJD pain. Owner-answered questions about activity and signs of pain were compared between the 2 groups to define items relating to chronic DJD pain. Interviews with 45 cat owners were performed to generate items. Fifty-three cat owners who had not been involved in any other part of the study, 19 veterinarians, and 2 statisticians assessed 6 preliminary instrument designs.
Results:
22 cats were selected for each group; 19 important items were identified, resulting in 12 potential items for the instrument; and 3 additional items were identified from owner interviews. Owners and veterinarians selected a 5-point descriptive instrument design over 11-point or visual analogue scale formats.
Conclusions And Clinical Relevance:
Behaviors relating to activity were substantially different between healthy cats and cats with signs of DJD-associated pain. Fifteen items were identified as being potentially useful, and the preferred instrument design was identified. This information could be used to construct an owner-based questionnaire to assess feline DJD-associated pain. Once validated, such a questionnaire would assist in evaluating potential analgesic treatments for these patients.
