Frequently Used Patient-Reported Outcome Measures of General Physical Function Were Highly Correlated With a Multitask Performance Outcome Test Battery

OBJECTIVES

This study aimed to determine the relationship between frequently used patient-reported outcome (PRO) measures and a multitask performance outcome (PerfO) measure of general physical function (PF) and to examine the association of these measures with depressive mood, pain, and age.

METHODS

Frequently used PRO measures of general PF (Patient-Reported Outcomes Measurement Information System [PROMIS] PF item bank, PROMIS PF Short Form 20a, Short Form 36 Physical Function Scale) and a PerfO test battery, namely, the Physical Performance Test (PPT), were administered to 78 adult patients from 3 inpatient clinics (cardiology and angiology, rheumatology and clinical immunology, and psychosomatic medicine) at Charité - Universitätsmedizin Berlin. Pearson correlations were used to investigate the associations between PRO measures and the PPT. To explore the predictive value of age, depressive symptoms, and pain intensity, we conducted multiple linear regression analysis for each PF measure.

RESULTS

We found strong linear relationships between PRO measures and PPT sum scores. Correlations between PPT sum scores and PROMIS PF T-scores were r > 0.75. For all PRO and PerfO measures, age was a predictor of general PF whereas depressive mood was not found to be a relevant predictor. Moreover, pain intensity was found to be a significant predictor of PRO measures but not for PPT sum scores.

CONCLUSIONS

Our findings suggest that frequently used PRO measures and a multitask PerfO measure of general PF can be used to measure a common PF construct. Nevertheless, PF scores based on PRO measures should ideally be controlled for self-rated pain intensity.

The MSOAC approach to developing performance outcomes to measure and monitor multiple sclerosis disability

Background:

The Multiple Sclerosis Outcome Assessments Consortium (MSOAC) was formed by the National MS Society to develop improved measures of multiple sclerosis (MS)-related disability.

Objectives:

(1) To assess the current literature and available data on functional performance outcome measures (PerfOs) and (2) to determine suitability of using PerfOs to quantify MS disability in MS clinical trials.

Methods:

(1) Identify disability dimensions common in MS; (2) conduct a comprehensive literature review of measures for those dimensions; (3) develop an MS Clinical Data Interchange Standards Consortium (CDISC) data standard; (4) create a database of standardized, pooled clinical trial data; (5) analyze the pooled data to assess psychometric properties of candidate measures; and (6) work with regulatory agencies to use the measures as primary or secondary outcomes in MS clinical trials.

Conclusion:

Considerable data exist supporting measures of the functional domains ambulation, manual dexterity, vision, and cognition. A CDISC standard for MS (http://www.cdisc.org/therapeutic#MS) was published, allowing pooling of clinical trial data. MSOAC member organizations contributed clinical data from 16 trials, including 14,370 subjects. Data from placebo-arm subjects are available to qualified researchers. This integrated, standardized dataset is being analyzed to support qualification of disability endpoints by regulatory agencies.