Optimisation of Scores Generated by an Online Feline Health–Related Quality of Life (HRQL) Instrument to Assist the Veterinary User Interpret Its Results

Using methodology previously described for the dog health-related quality of life (HRQL) tool (VetMetrica™), the aim was to optimize the scores profile of a comparable feline online HRQL instrument for monitoring HRQL in cats, to assist in its interpretation. Measuring HRQL helps quantify the impact of disease and its treatment on well-being, aids clinical decision making and provides information in clinical trials. In Study 1, using data collected from previous studies, scores generated for three domains of HRQL (Vitality, Comfort, Emotional Well-being) in healthy cats were normalized using standard statistical techniques of logit transformation and T-scores, such that the average healthy cat has a score of 50 in all three HRQL domains. Using normalized scores from healthy and sick cats, a threshold score of 44.8 was determined, above which 70% of healthy cats should score. Study 2 determined the Minimal Important Difference (MID) in normalized score that constituted a clinically significant improvement in each domain. Three methods were tested in order to determine the MID, with the final choice made based on statistical and clinical considerations. Thresholds of 5, 7.5, and 5 were chosen for the three HRQL domains representing Vitality, Comfort and Emotional Well-being, respectively. This study makes available a means of displaying HRQL scores from an online application in an easily interpretable manner and quantifies a clinically meaningful improvement in score. To illustrate the practical application of these developments, three case examples are presented. Example 1 illustrates the raw and normalized scores for a group of overweight cats enrolled in a Feline Weight Management Programme. Example 2 shows three groups of osteoarthritic cats, each with different severity of disease. The third is an elderly, un-well cat whose HRQL was recorded over time, specifically to facilitate end of life discussion between owner and veterinary clinician.

Recent developments in the assessment of quality of life in Multiple Sclerosis (MS)

Multiple sclerosis (MS) and its treatment have broad-ranging effects on quality of life. This article reviews recent efforts to assess the impact of MS on activities of daily living (ADLs) and health-related quality of life (HRQL), and describes the development of the Multiple Sclerosis Quality of Life Inventory (MSQLI). The MSQLI is a modular MS-specific HRQL instrument consisting of a widely-used generic measure, the Health Status Questionnaire (SF-36), supplemented by nine symptom-specific measures (covering fatigue, pain, bladder function, bowel function, emotional status, perceived cognitive function, visual function, sexual satisfaction, and social relationships). Content validation consisted of evaluating its adherence to a conceptual model of the impact of MS, and review by MS specialists (neurologists and allied health professionals), HRQL experts, patients, and caregivers. The reliability and construct validity of the MSQLI were rigorously evaluated in a field test with 300 North American patients (198 female, 102 male) with definite MS (Poser criteria) and a broad range of physical impairment (EDSS=0.0-8.5). This article concludes by comparing the MSQLI with two other MS-specific HRQL measures (MS Quality of Life-54 (QOL-54) and Functional Assessment of Multiple Sclerosis (FAMS)) and discussing key issues to consider in selecting an HRQL instrument for a collaborative database.