Italian version of the pittsburgh rehabilitation participation scale: Psychometric analysis of validity and reliability

Marco Iosa, Giovanni Galeoto, Daniela De Bartolo, Valentina Russo, Ilaria Ruotolo, Grazia Fernanda Spitoni, Irene Ciancarelli, Marco Tramontano, Gabriella Antonucci, Stefano Paolucci, Giovanni Morone

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number626
JournalBrain Sciences
Volume11
Issue number5
DOIs
Publication statusPublished - May 2021

Keywords

  • Compliance
  • Neurorehabilitation
  • Participation
  • Psychometry
  • Rehabilitation
  • Relia-bility
  • Stroke
  • Validity

ASJC Scopus subject areas

  • Neuroscience(all)

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