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Assessing the Content Validity of Preference-Based Measures in Cancer
Adam E J Gibson1, Louise Longworth1, Bryan Bennett2
1Putnam PHMR Ltd, London, England, UK.
Condition-specific preference-based measures (PBMs) showed better relevancy for cancer patients than generic PBMs. The FACT-8D demonstrated the best content validity, informing oncology measurement strategies.
Area of Science:
- Oncology
- Health Outcomes Research
- Psychometrics
Background:
- Preference-based measures (PBMs) are crucial for assessing health-related quality of life (HRQoL) in cancer care.
- Evaluating the content validity of generic and condition-specific PBMs is essential for informing oncology development programs and real-world applications.
Purpose of the Study:
- To assess the content validity of generic and condition-specific PBMs using patient perspectives.
- To evaluate PBMs against the Consensus-Based Standards for the Selection of Health Measurement Instruments criteria.
Main Methods:
- Individual, semistructured interviews with 96 cancer patients in the UK and US.
- Patients completed 3 generic PBMs and 2 condition-specific PBMs.
- Thematic and content analysis of interview transcripts.
Main Results:
- Condition-specific PBMs were rated as more relevant than generic PBMs.
- The Functional Assessment of Cancer Therapy Eight Dimension (FACT-8D) showed the highest content validity for relevancy.
- The EQ-5D-5L was rated highest for comprehensibility, with FACT-8D and Quality of Life Utility-Core 10 Dimension also performing well.
Conclusions:
- While generally adequate, PBMs need further development, especially for long-term cancer impacts and treatment side effects.
- Future instruments should incorporate conventional health, treatment impacts, and psychological items for comprehensive cancer HRQoL assessment.
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