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Equating the MOS SF36 and the LSU HSI Physical Functioning Scales
W P Fisher1, R L Eubanks, R L Marier
1Louisiana State University Medical Center, New Orleans 70112, USA.
Summary
This study successfully equated the Medical Outcomes Study Short Form 36 (SF36) and the Louisiana State University Health Status Instruments (LSU HSI) physical functioning scales. Conversion tables allow for score transformation into a common metric, improving measurement consistency.
Area of Science:
- Health Measurement
- Psychometrics
- Biostatistics
Background:
- The Medical Outcomes Study Short Form 36 (SF36) and Louisiana State University Health Status Instruments (LSU HSI) are used to assess physical functioning.
- Equating these instruments allows for standardized comparison of physical functioning scores across different patient populations and studies.
Purpose of the Study:
- To equate the physical functioning subscales of the SF36 and LSU HSI.
- To establish a common unit of measurement for physical functioning scores derived from both instruments.
- To provide conversion tables for transforming scores between the two scales.
Main Methods:
- Utilized Rasch rating scale models (separate and mixed) to analyze data from 285 patients.
- Fit the SF36's 10-item physical functioning scale (PF10) and the LSU HSI's 29-item Physical Functioning Scale (PFS).
- Correlated difficulty estimates of similar items to assess measurement convergence.
Main Results:
- Item difficulty estimates from both instruments were highly correlated (.95), indicating they measure the same construct.
- Equated measures showed a strong correlation (.80, .86 disattenuated).
- The LSU HSI (PFS) demonstrated lower error, better model fit, and higher reliability coefficients compared to the SF36 (PF10).
Conclusions:
- The SF36 and LSU HSI physical functioning scales can be equated and used to measure physical functioning in a common metric.
- The LSU HSI appears to be a more precise and reliable measure of physical functioning.
- Conversion tables facilitate the integration of data from both instruments, enhancing comparability in health status assessments.