Utility Studies in Rare Diseases: A Systematic Literature Review
Author(s)
Ruban-Fell B1, van Pelt R2, Wright S1, Abdullah A1, Upadhyaya S3, Griffiths A2
1Costello Medical, London, UK, 2Costello Medical, Cambridge, UK, 3Rare Disease Expert, London, UK
OBJECTIVES: Measuring health-related quality of life (HRQoL) in rare diseases is associated with various practical and ethical considerations. Further to previous research,1,2 our aim was to systematically review published studies collecting utility data in rare diseases, and compare applied methods against available best practice guidance.3
METHODS: Rare disease utility studies published from database inception to March 2022 were systematically identified through MEDLINE and Embase via Ovid SP; no geographical or date limits were applied. Abstracts were screened by two independent reviewers and methodological details were extracted. Full-text screening, hand-searches and full extractions are on-going; final results, and their comparison against recent guidance on preferred HRQoL measurement methods, will be presented.
RESULTS: 448/1,426 articles were included at the abstract screening stage, including 310 primary research studies measuring HRQoL, and 138 systematic literature reviews or economic evaluations. Of the 310 primary research studies: 49.7% were published in or after 2020; 17.1% reported on interventional trials, 31.6% on observational studies and 7.7% included vignettes. Regarding HRQoL tools, 19.4% of included primary research studies directly obtained utility values using EQ-5D only; an additional 14.8% combined EQ-5D with other tools, such as SF-36. The SF-36 was the most commonly used non-preference based instrument, reported in 43.5% of primary research articles. Disease-specific tools were reported in 12.9% of studies. Direct preference elicitation methods, such as time trade-off, were reported by 12.3% of studies.
CONCLUSIONS: This research systematically explores the variety of methods and tools used to measure HRQoL in rare diseases. The large number of studies using tools other than EQ-5D demonstrate the value of published guidance where EQ-5D is unavailable or inappropriate. Further analysis will be conducted to examine how closely guidance has been followed in such cases.
REFERENCES: 1. Warnants et al. ISPOR-EU 2020. 2. Bewicke-Copley et al. ISPOR-EU 2019. 3. NICE health technology evaluations: the manual. 2022.Conference/Value in Health Info
Value in Health, Volume 25, Issue 12S (December 2022)
Code
PCR281
Topic
Patient-Centered Research, Study Approaches
Topic Subcategory
Health State Utilities, Literature Review & Synthesis, Patient-reported Outcomes & Quality of Life Outcomes
Disease
No Additional Disease & Conditions/Specialized Treatment Areas