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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)
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A Guide to Understanding and Analysing PROMs Scores in Wales
Michal Pruski1,2, Robert I Palmer1,3, Tim Pickles4,5
1CEDAR, Cardiff and Vale UHB, Cardiff, Wales, UK.
Patient Related Outcome Measures
|June 8, 2026
Summary
This perspective article provides recommendations for analyzing and presenting patient-reported outcome measures (PROMs) data in Wales. It emphasizes best practices for handling PROM data to improve healthcare quality and patient outcomes.
Area of Science:
- Health Services Research
- Clinical Data Analysis
- Patient-Reported Outcomes
Background:
- Patient-reported outcome measures (PROMs) are crucial for assessing patient experiences and outcomes within the National Health Service (NHS) Wales.
- Effective utilization of PROM data requires standardized approaches to analysis and presentation.
- Understanding PROM validation and data types is essential for appropriate interpretation.
Purpose of the Study:
- To outline recommendations for the analysis and presentation of patient-reported outcome measures (PROMs) data.
- To promote good practice in handling PROM data across Wales.
- To guide healthcare professionals in the appropriate use of PROM data for improved patient care.
Main Methods:
- This perspective article focuses on the overall approach to analyzing and presenting PROM data, rather than detailed statistical instructions.
- It discusses the importance of data collection methods and their impact on analysis.
- Recommendations are provided for selecting appropriate inferential statistics tests.
Main Results:
- The article highlights the significance of patient-reported outcome data in NHS Wales.
- It explains the validation process for PROM questionnaires and their structure.
- Key considerations for comparing data within questionnaires and the consequences of inappropriate analysis are discussed.
Conclusions:
- Adherence to recommended practices for analyzing and presenting PROM data is vital for ensuring data integrity and utility.
- Appropriate statistical analysis and presentation enhance the value of patient-reported outcome measures in clinical decision-making.
- Simplified recommendations are provided for broader dissemination and application within the healthcare system.
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