title: Estimating effect sizes for health-related quality of life outcomes.
abstract: To enable an assessment of the costs and benefits of a new health technology one should use a range of outcome measures, including medical, psychosocial and economic. Therefore, unless a patient-reported outcome as well as clinical outcome is assessed in a study, the effect of a health technology on the patient will remain unknown as two therapies may have similar clinical consequences but different impacts upon the quality of the life of the patients. An important issue when designing a study with a new patient-reported outcome is the quantification of an effect size. Through a case study we highlight how simple calculations can enable the estimation of the effect sizes if there is information on established outcomes. This is done by mapping changes on the new scale to clinically relevant and important changes on established scales. We recommend the approaches described in this paper be considered for the quantification of important treatment effects when designing a clinical trial with a new patient-reported outcome measure.
authors: University of Sheffield, Sheffield, England s.a.julious@sheffield.ac.uk.
authors: Steven A
authors: SA
authors: Julious
authors: University of Sheffield, Sheffield, England.
authors: Stephen J
authors: SJ
authors: Walters
mesh_terms: D002986:Clinical Trials as Topic / Q000592:standards*; D003362:Cost-Benefit Analysis; D004185:Disability Evaluation; D006801:Humans; D015233:Models, Statistical; D063868:Patient Outcome Assessment; D011788:Quality of Life; D012107:Research Design; D018434:Sickness Impact Profile; D020521:Stroke / Q000503:physiopathology* / Q000628:therapy*; D011795:Surveys and Questionnaires
keywords: Sample size; health-related quality of life; patient-reported outcomes