Responsiveness and Predictive Validity of the Participation Measure-3 Domains, 4 Dimensions in Survivors of Stroke.

Abstract

To examine the responsiveness and predictive validity of the Participation Measure-3 Domains, 4 Dimensions (PM-3D4D) in people receiving outpatient rehabilitation following stroke. Prospective cohort observational study. Outpatient rehabilitation settings. Volunteer patients (N=269) with stroke (mean age ± SD [y], 55.36±12.46; 70.26% male). Not applicable. The PM-3D4D was designed to measure 3 domains (Productivity, Social, and Community) and 4 dimensions (Diversity, Frequency, Desire for change, and Difficulty) of participation in individuals with rehabilitation needs. All participants completed the PM-3D4D, the Participation Assessment with Recombined Tools-Objective (PART-O), the Participation Measure for Post-Acute Care (PM-PAC), and the EuroQol-5-Dimension (EQ-5D) at the baseline assessment and again following 3 months of outpatient rehabilitation. Significant mean changes in scores were observed for most of the PM-3D4D subscales, with the largest score change observed in the Difficulty subscale (standardized response mean=0.57∼0.88). The minimal detectable change and meaningful clinically important differences were calculated for each subscale. The Frequency and Difficulty dimensions of the PM-3D4D demonstrated significantly greater responsiveness than the PART-O and PM-PAC, respectively. The baseline PM-3D4D scores, except for Desire for change subscales, were significantly correlated with the PART-O, PM-PAC, and EQ-5D scores after 3 months of rehabilitation. This study provides evidence supporting the responsiveness and predictive validity of the PM-3D4D in survivors of stroke. Among all subscales of the PM-3D4D, the Difficulty dimensional scale demonstrated the greatest responsiveness. The Desire for change dimension of the PM-3D4D showed less responsiveness, and we recommend that it be used as a goal-setting tool rather than an outcome measure. The PM-3D4D can potentially be used to predict participation outcomes and the health-related quality of life following rehabilitation interventions.