Inclusion of Carer Health-Related Quality of Life in National Institute for Health and Care Excellence Appraisals.

OBJECTIVES: Health interventions for patients can have effects on their carers too. For consistency, decision makers may wish to specify whether carer outcomes should be included. One example is the National Institute for Health and Care Excellence (NICE), whose reference case specifies that economic evaluations should include direct health effects for patients and carers where relevant. We aimed to review the methods used in including carer health-related quality of life (HRQL) in NICE appraisals. METHODS: We reviewed all published technology appraisals (TAs) and highly specialized technologies (HSTs) to identify those that included carer HRQL and discussed the methods and data sources. RESULTS: Twelve of 414 TAs (3%) and 4 of 8 HSTs (50%) included carer HRQL in cost-utility analyses. Eight were for multiple sclerosis, the remainder were each in a unique disease area. Twelve of the 16 appraisals modeled carer HRQL as a function of the patient's health state, 3 modeled carer HRQL as a function of the patient's treatment, and 1 included family quality-adjusted life year (QALY) loss. They used 5 source studies: 2 compared carer EQ-5D scores with controls, 2 measured carer utility only (1 health utilities index and 1 EQ-5D), and 1 estimated family QALY loss from a child's death. Two used disutility estimates not from the literature. Including carer HRQL increased the incremental QALYs and decreased incremental cost-effectiveness ratios in all cases. CONCLUSIONS: The inclusion of carer HRQL in NICE appraisals is relatively uncommon and has been limited by data availability.

Mapping From Visual Acuity to EQ-5D, EQ-5D With Vision Bolt-On, and VFQ-UI in Patients With Macular Edema in the LEAVO Trial.

OBJECTIVES: Mappings to convert clinical measures to preference-based measures of health such as the EQ-5D-3L are sometimes required in cost-utility analyses. We developed mappings to convert best-corrected visual acuity (BCVA) to the EQ-5D-3L, the EQ-5D-3L with a vision bolt-on (EQ-5D V), and the Visual Functioning Questionnaire-Utility Index (VFQ-UI) in patients with macular edema caused by central retinal vein occlusion. METHODS: We used data from Lucentis, Eylea, Avastin in vein occlusion (LEAVO), which is a phase-3 randomized controlled trial comparing ranibizumab, aflibercept, and bevacizumab in 463 patients with observations at 6 time points. We estimated adjusted limited dependent variable mixture models consisting of 1 to 4 distributions (components) using BCVA in each eye, age, and sex to predict utility within the components and BCVA as a determinant of component membership. We compared model fit using mean error, mean absolute error, root mean square error, Akaike information criteria, Bayesian information criteria, and visual inspection of mean predicted and observed utilities and cumulative distribution functions. RESULTS: Mean utility scores were 0.82 for the EQ-5D-3L, 0.79 for the EQ-5D V, and 0.88 for the VFQ-UI. The best-fitting models for the EQ-5D and EQ-5D V had 2 components (with means of approximately 0.44 and 0.85), and the best-fitting model for VFQ-UI had 3 components (with means of approximately 0.95, 0.74, and 0.90). CONCLUSIONS: Models with multiple components better predict utility than those with single components. This article provides a valuable addition to the literature, in which previous mappings in visual acuity have been limited to linear regressions, resulting in unfounded assumptions about the distribution of the dependent variable.