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Linking measurement error to minimal important change of patient-reported outcomes
Caroline B Terwee1, Leo D Roorda, Dirk L Knol
1Department of Epidemiology and Biostatistics, EMGO Institute, VU University Medical Center, Amsterdam, The Netherlands. cb.terwee@vumc.nl
Objective:
To provide a practical example showing how to relate measurement error to minimal important change (MIC) to estimate sample sizes required for detecting important changes in research, and to determine the usefulness of patient-reported outcomes (PROs) in daily clinical practice.
Study Design And Setting:
The standard error of measurement (SEM) can be calculated as a parameter of measurement error. MIC can be determined by taking the mean change in score on the questionnaire in the subgroup of patients that reported to be "a little better" or "better" on a global rating scale minus the mean change in score in the subgroup of patients that reported to be "not changed." Based on SEM and MIC, formulas are presented that can be used to estimate sample sizes and to determine whether the questionnaire can be used to monitor changes in individual patients in daily clinical practice.
Results:
A fully worked-out example is presented, using Western Ontario and McMaster University Osteoarthritis Index data from a cohort of patients undergoing hip or knee replacement.
Conclusion:
We strongly recommend investigators to present the SEM and MIC of PROs and use these to estimate sample sizes for research and to determine the usefulness of these outcomes in daily clinical practice.
Insights
Researchers should report the standard error of measurement (SEM) and minimal important change (MIC) for patient-reported outcomes (PROs). This helps estimate sample sizes for studies and assess PROs
Area of Science:
- Health Outcomes Research
- Clinical Measurement
- Patient-Reported Outcomes (PROs)
Background:
- Measurement error is a critical factor in assessing the reliability of patient-reported outcomes (PROs).
- Understanding the minimal important change (MIC) is essential for interpreting the clinical significance of PRO data.
- Estimating appropriate sample sizes is crucial for the validity of research findings.
Purpose of the Study:
- To demonstrate how to link measurement error (SEM) with minimal important change (MIC) for sample size estimation in research.
- To evaluate the utility of PROs in routine clinical practice for monitoring patient progress.
Main Methods:
- Calculated the standard error of measurement (SEM) as a measure of error.
- Determined MIC by comparing mean score changes in patients reporting improvement versus no change on a global rating scale.
- Developed formulas for sample size estimation and assessing clinical utility based on SEM and MIC.
Main Results:
- A practical example is provided using the Western Ontario and McMaster University Osteoarthritis Index (WOMI) data.
- Demonstrated the application of SEM and MIC for sample size calculations in a real-world clinical scenario.
Conclusions:
- Investigators are urged to report SEM and MIC for their PROs.
- Utilizing SEM and MIC is recommended for accurate sample size determination in research.
- SEM and MIC are valuable for assessing the clinical usefulness of PROs in daily practice.
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