Assessing Quality of Life in Clinical Trials: Methods and Practice
Peter M. Fayers, Ron D. Hays
Oxford University Press, 2005 - Medical - 467 pages
Quality of Life Assessment has progressed considerably since the publication of the first highly acclaimed edition of this book in 1998. Quality of life has now become an indispensable outcome measure in many randomised clinical trials and other studies. Thus, it is timely to provide not just an update, but a completely new edition that reviews the current state of art and also discusses topical issues including areas where active research is in progress. The first section discussesthe development and evaluation of generic and disease-targeted questionnaires. Having decided the items to be included the thrust of the next section covers how to convert these into usable forms. Section 3 addressing analysis and the methods of analysing studies with missing data is followed by chapters on interpretation of results and exploring the role of single-item questions. The final section of the book looks beyond the individual clinical trial and how we can use clinical trial and other data to make macro-decisions. A strong international team of experts cover a wide range of topics, emphasizing new and innovative approaches that are of practical and clinical importance, reviewing the current state of the art and illustrating the benefits and potential of health related quality of life assessment in clinical trials.
approach associated attributes baseline breast cancer cancer patients Cella cent Chapter chemotherapy clinical trials clinicians cognitive comparisons concepts construct validity correlations DIF analysis differential item functioning disease domains effect effect size end points estimates etal evaluation example factor analysis Fairclough fatigue Fayers Feeny Guyatt Hays health-related quality HRQoL assessment HRQoL data HRQoL instruments HRQoL measures HRQoL scores HUI2 impact important included individual interpretation intervention interviews IRT models item bank item response theory Journal of Clinical Medical mental health meta-analysis methods missing data multi-item scales multiple Oncology Osoba osteoarthritis outcomes p-values pain parameters Pharmacoeconomics population preference-based measures preferences problems proxy Psychological psychometric questionnaire questions randomized Rasch models ratings relevant reliability reported response categories response shift sample self-rated health Sickness Impact Profile significant social standard standard gamble statistical summary measures symptoms therapy tion Torrance variables Ware