Examining the patient's subjective experience in prospective clinical comparative effectiveness research (CER) of oncology treatments or process interventions is essential for informing decision making. Patient-reported outcome (PRO) measures are the standard tools for directly eliciting the patient experience. There are currently no widely accepted standards for developing or implementing PRO measures in CER. Recommendations for the design and implementation of PRO measures in CER were developed via a standardized process including multistakeholder interviews, a technical working group, and public comments. Key recommendations are to include assessment of patient-reported symptoms as well as health-related quality of life in all prospective clinical CER studies in adult oncology; to identify symptoms relevant to a particular study population and context based on literature review and/or qualitative and quantitative methods; to assure that PRO measures used are valid, reliable, and sensitive in a comparable population (measures particularly recommended include EORTC QLQ-C30, FACT, MDASI, PRO-CTCAE, and PROMIS); to collect PRO data electronically whenever possible; to employ methods that minimize missing patient reports and include a plan for analyzing and reporting missing PRO data; to report the proportion of responders and cumulative distribution of responses in addition to mean changes in scores; and to publish results of PRO analyses simultaneously with other clinical outcomes. Twelve core symptoms are recommended for consideration in studies in advanced or metastatic cancers. Adherence to methodologic standards for the selection, implementation, and analysis/reporting of PRO measures will lead to an understanding of the patient experience that informs better decisions by patients, providers, regulators, and payers.
The objective of this article was to describe and illustrate a comprehensive approach for estimating clinically important differences (CIDs) in health-related quality-of-life (HR-QOL). A literature review and pilot study were conducted to determine whether effect size-based benchmarks are consistent with CIDs obtained from other approaches. CIDs may be estimated based primarily upon effect sizes, supplemented by more traditional anchor-based methods of benchmarking (i.e. direct, cross-sectional or longitudinal approaches). A literature review of articles discussing CIDs provided comparative data on effect sizes for various chronic conditions. A pilot study was then conducted to estimate the minimum CID of the Health Utilities Index (HUI) Mark II, and to compare the observed between-group differences observed in a recent randomised trial of an acute stroke intervention with this benchmark. The use of standardised effect size benchmarks has a number of advantages-for example, effect sizes are efficient, widely accepted outside HR-QOL, and have well accepted benchmarks based upon external anchors. In addition, our literature review and pilot study suggest that effect size-based CID benchmarks are similar to those which would be obtained using more traditional methods. For most HR-QOL instruments, we do not know the changes in score which constitute CIDs of various magnitudes. This makes interpretation of HR-QOL results from clinical trials difficult, and having a benchmarking process which is relatively straightforward would be highly desirable.
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