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Co-calibrating quality-of-life scores from three pulmonary disorders: implications for comparative-effectiveness
M Rouse1, J Twiss1, S P McKenna1
1a Galen Research Ltd , Manchester , UK.
Disease-specific patient-reported outcome (PRO) measures can be co-calibrated, enabling valid comparisons across different diseases in comparative effectiveness research (CER). This allows for more accurate health resource utilization and outcome assessment.
Area of Science:
- Health outcomes research
- Psychometrics
- Comparative effectiveness research
Background:
- Accurate outcome assessment is crucial for efficient health resource allocation.
- Disease-specific patient-reported outcome (PRO) measures offer greater relevance than generic PROs.
- Current understanding suggests disease-specific measures are not suitable for comparative effectiveness research (CER).
Purpose of the Study:
- To provide evidence for the value of disease-specific PRO measures in cross-disease comparisons.
- To demonstrate the feasibility of co-calibrating different disease-specific PRO measures.
- To enhance the application of PROs in comparative effectiveness research.
Main Methods:
- The Asthma Life Impact Scale (ALIS), Living with Chronic Obstructive Pulmonary Disease (LCOPD), and Cambridge Pulmonary Hypertension Outcome Review (CAMPHOR) scales were administered to patient cohorts.
- Data from the three disease-specific PRO measures were analyzed for Rasch model fit individually and after combining unique items.
- Raw scores were co-calibrated, and a transformation table was generated to enable score comparison.
Main Results:
- All individual scales and the combined item set demonstrated good fit to the Rasch model.
- No differential item functioning was observed concerning age, gender, or disease.
- Co-calibrated scales effectively differentiated between patient-perceived severity groups (p < 0.001).
Conclusions:
- Co-calibration of scores from disease-specific PRO measures is feasible.
- This co-calibration facilitates more accurate and sensitive outcome measurement for CER.
- The method allows for the calculation of gamma (γ) scores to directly compare intervention impacts across diverse diseases.
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