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Patient reported outcome measures: a model-based classification system for research and clinical practice
Jose M Valderas1, Jordi Alonso
1National School for Primary Care Research, University of Manchester, Oxford Road, Williamson Building, Manchester, M13 9PL, UK. jose.valderas@manchester.ac.uk
Summary
A new classification system for Patient Reported Outcomes (PRO) measures was developed using a conceptual model. This system helps categorize PRO instruments, improving their selection and application in healthcare research.
Area of Science:
- Health outcomes research
- Measurement science
- Health services research
Background:
- Patient Reported Outcomes (PRO) are crucial for assessing perceived health.
- A clear relationship between PRO measures and existing conceptual models needs establishment.
- A standardized classification system for PRO instruments is lacking.
Purpose of the Study:
- To develop a novel classification system for Patient Reported Outcomes (PRO) measures.
- To base this classification system on a scientifically valid conceptual model.
- To enhance the understanding and application of PRO instruments.
Main Methods:
- Integrated existing health outcome models (Wilson and Cleary, ICF) into a unified conceptual framework.
- Developed a cross-classification system using identified common concepts.
- Categorized instruments based on WHO International Classifications (ICD-10, ICF).
Main Results:
- Identified three core classification concepts: construct, population, and measurement model.
- Demonstrated the feasibility of the classification system with selected PRO instruments.
- Found that most PRO measures assess multiple constructs.
Conclusions:
- The developed classification system effectively categorizes existing PRO measures.
- This system facilitates more appropriate selection and application of PRO instruments.
- It provides a framework for understanding the scope of PRO measures.
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