Quality-of-life (QoL) outcomes are important elements of randomized controlled trials. The instruments for measurement of QoL vary but usually multiple comparisons are possible, a concern that can be offset by prespecifying the outcomes of interest. Missing data may threaten the validity of QoL assessments in trials. Therefore familiarity with the strategies used to account for missing data is necessary. Measures that incorporate both survival and QoL are helpful for treatment decisions. The definition of minimal clinically important differences in QoL scores is important and often derived using inadequate methods.
Bibliographical notePublisher Copyright:
© Springer Science+Business Media New York 2015.
- Measurement scales
- Minimal clinically important difference
- Missing data
- Patient-reported outcome
- Quality of life
- Quality-adjusted survival