| Literature DB >> 34068212 |
Marco Iosa1,2, Giovanni Galeoto3,4, Daniela De Bartolo1,2, Valentina Russo1,2, Ilaria Ruotolo3, Grazia Fernanda Spitoni2,5, Irene Ciancarelli6, Marco Tramontano2, Gabriella Antonucci1,2, Stefano Paolucci2, Giovanni Morone2.
Abstract
Patient's active participation in therapy is a key component of successful rehabilitation. In fact, low participation has been shown to be a prognostic factor of poor outcome; however, participation is rarely assessed in clinical settings. The Pittsburgh Rehabilitation Participation Scale (PRPS) is a validated, quick, and accurate measure of participation, relying on clinicians' observation, and not requiring any self-report by patients. The aim of this study was to validate an Italian version of the PRPS. Following forward and back-translation of PRPS into Italian, the translated version was validated in a total of 640 therapy sessions, related to a cohort of 32 patients admitted to an Italian hospital. It was tested for concurrent validity, finding significant correlations with Barthel Index (R > 0.58, p < 0.001) and SF-36 Physical and Mental Health (R > 0.4, p < 0.02), for predictive validity, finding significant correlation with the effectiveness of rehabilitation (R = 0.358, p = 0.045), and for inter-rater and intra-rater reliability, computing an Intra-class correlation coefficient (ICC = 0.926 and 0.756, respectively). These psychometric properties results were similar to those of the original version of this scale. The proposed PRPS can be helpful for Italian clinicians in the assessment of patient's participation during rehabilitation.Entities:
Keywords: compliance; neurorehabilitation; participation; psychometry; rehabilitation; reliability; stroke; validity
Year: 2021 PMID: 34068212 PMCID: PMC8153139 DOI: 10.3390/brainsci11050626
Source DB: PubMed Journal: Brain Sci ISSN: 2076-3425
Mean ± standard deviation or percentages of demographical and clinical features.
| Parameter | Description | Values |
|---|---|---|
| Age | Years | 60.3 ± 18.0 |
| Gender | Male | 62.5% |
| Female | 37.5% | |
| Pathology | Stroke | 37.5% |
| Other Neurological Disorders | 28.1% | |
| Orthopedic Pathologies | 34.4% | |
| Barthel Index | Admission | 59.9 ± 28.0 |
| Discharge | 73.4 ± 25.5 | |
| Effectiveness | 39.4 ± 42.2% | |
| SF-36 Physical Health | Admission | 40.7 ± 7.3 |
| Discharge | 43.8 ± 8.8 | |
| Effectiveness | 5.0 ± 13.0% | |
| SF-36 Mental Health | Admission | 41.1 ± 9.5 |
| Discharge | 46.8 ± 10.3 | |
| Effectiveness | 8.6 ± 16.4% | |
| PRPS | Therapist 1 First session | 4.6 ± 1.3 |
| Therapist 2 First session | 4.8 ± 1.1 | |
| Therapist 1 First 10 sessions | 4.8 ± 1.0 | |
| Therapist 1 Last 10 sessions | 5.0 ± 0.9 | |
| Therapist 1 Last session | 5.1 ± 0.8 |
Comparisons of the psychometric properties of the Italian version of PRPS and those found in the original study [8] (BI stands for Barthel Index, FIM for motor domain of the functional independence measure, SF-36 for Short Form, PH for physical health, MH for mental health, ICC is intra-class correlation coefficient, R stands for Pearson’s correlation coefficient in the original study and for Spearman correlation coefficient in our study, 10S stands for ten sessions of therapy).
| Psychometric Properties of PRPS | Results of the Italian Version of PRPS | Results of the Original Study on PRPS [ |
|---|---|---|
| Mean PRPS score | 4.91 ± 1.03 (range: 1–6) | 4.73 ± 0.76 (range not reported) |
| PRPS score increment | From 4.78 ± 1.24 to 4.87 ± 1.13 | From 4.29 ± 0.93 to 4.67 ± 1.04 |
| Inter-rater reliability | ICC = 0.926 | ICC = 0.91 for occupational therapists |
| Intra-rater reliability | ICC = 0.844, Cronbach’s alpha = 0.982 (first 10S) | Not assessed |
| Concurrent validity | ||
| Predictive Validity |
Figure 1Frequency distribution of PRPS score. In the above plot are the distribution of scores in the first (grey bars) and last (black bars) ten sessions. In the below plot are the percentages of PRPS scores equal to 5 (very good) or 6 (excellent) in the first and last sessions associated to the BI score at admission and discharge, respectively (dots represent data, whereas the curve represents the fit obtained using a Parameter Logistic Model).