title: An educational review of the statistical issues in analysing utility data for cost-utility analysis.
abstract: The aim of cost-utility analysis is to support decision making in healthcare by providing a standardised mechanism for comparing resource use and health outcomes across programmes of work. The focus of this paper is the denominator of the cost-utility analysis, specifically the methodology and statistical challenges associated with calculating QALYs from patient-level data collected as part of a trial. We provide a brief description of the most common questionnaire used to calculate patient level utility scores, the EQ-5D, followed by a discussion of other ways to calculate patient level utility scores alongside a trial including other generic measures of health-related quality of life and condition- and population-specific questionnaires. Detail is provided on how to calculate the mean QALYs per patient, including discounting, adjusting for baseline differences in utility scores and a discussion of the implications of different methods for handling missing data. The methods are demonstrated using data from a trial. As the methods chosen can systematically change the results of the analysis, it is important that standardised methods such as patient-level analysis are adhered to as best as possible. Regardless, researchers need to ensure that they are sufficiently transparent about the methods they use so as to provide the best possible information to aid in healthcare decision making.
authors.affiliation: Research Department of Primary Care and Population Health, University College London Medical School (UCL), Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK, r.hunter@ucl.ac.uk.
authors.forename: Rachael Maree
authors.initials: RM
authors.lastname: Hunter
authors.forename: Gianluca
authors.initials: G
authors.lastname: Baio
authors.forename: Thomas
authors.initials: T
authors.lastname: Butt
authors.forename: Stephen
authors.initials: S
authors.lastname: Morris
authors.forename: Jeff
authors.initials: J
authors.lastname: Round
authors.forename: Nick
authors.initials: N
authors.lastname: Freemantle
mesh_terms: D003362:Cost-Benefit Analysis; D003657:Decision Making; D017048:Health Care Costs; D006302:Health Services Research / Q000592:standards / Q000706:statistics & numerical data; D019057:Quality-Adjusted Life Years