Italian Version of the Pittsburgh Rehabilitation Participation Scale: Psychometric Analysis of Validity and Reliability
Abstract
:1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Mead, N.; Bower, P. Patient-centredness: A conceptual framework and review of the empirical literature. Soc. Sci. Med. 2000, 51, 1087–1110. [Google Scholar] [CrossRef]
- Paolucci, S.; Di Vita, A.; Massicci, R.; Traballesi, M.; Bureca, I.; Matano, A.; Iosa, M.; Guariglia, C. Impact of participation on rehabilitation results: A multivariate study. Eur. J. Phys. Rehabil. Med. 2012, 48, 455–466. [Google Scholar]
- MacLean, N.; Pound, P. A critical review of the concept of patient motivation in the literature on physical rehabilitation. Soc. Sci. Med. 2000, 50, 495–506. [Google Scholar]
- Salter, K.L.; Foley, N.C.; Jutai, J.W.; Teasell, R.W. Assessment of participation outcomes in randomized controlled trials of stroke rehabilitation interventions. Int. J. Rehabil. Res. 2007, 30, 339–342. [Google Scholar] [CrossRef] [PubMed]
- Morghen, S.; Morandi, A.; Guccione, A.A.; Bozzini, M.; Guerini, F.; Gatti, R.; Del Santo, F.; Gentile, S.; Trabucchi, M.; Bellelli, G. The association between patient participation and functional gain following inpatient rehabilitation. Aging Clin. Exp. Res. 2017, 29, 729–736. [Google Scholar] [CrossRef]
- Lenze, E.J.; Munin, M.C.; Quear, T.; Dew, M.A.; Rogers, J.C.; Begley, A.E.; Reynolds, C.F. Significance of poor patient par-ticipation in physical and occupational therapy for functional outcome and length of stay. Arch. Phys. Med. Rehabil. 2004, 85, 1599–1601. [Google Scholar] [CrossRef]
- Hershkovitz, A.; Kalandariov, Z.; Hermush, V.; Weiss, R.; Brill, S. Factors Affecting Short-Term Rehabilitation Outcomes of Disabled Elderly Patients With Proximal Hip Fracture. Arch. Phys. Med. Rehabil. 2007, 88, 916–921. [Google Scholar] [CrossRef] [PubMed]
- Lenze, E.J.; Munin, M.C.; Quear, T.; Dew, M.A.; Rogers, J.C.; Begley, A.E.; Reynolds, C.F. The Pittsburgh Rehabilitation Par-ticipation Scale: Reliability and validity of a clinician-rated measure of participation in acute rehabilitation. Arch. Phys. Med. Rehabil. 2004, 85, 380–384. [Google Scholar] [CrossRef]
- Yang, S.-Y.; Kong, K.H. Level and predictors of participation in patients with stroke undergoing inpatient rehabilitation. Singap. Med. J. 2013, 54, 564–568. [Google Scholar] [CrossRef] [PubMed]
- Merlo, A.R.; Goodman, A.; McClenaghan, B.A.; Fritz, S.L. Participants’ Perspectives on the Feasibility of a Novel, Intensive, Task-Specific Intervention for Individuals with Chronic Stroke: A Qualitative Analysis. Phys. Ther. 2013, 93, 147–157. [Google Scholar] [CrossRef] [PubMed]
- Gittins, M.; Vail, A.; Bowen, A.; Lugo-Palacios, D.; Paley, L.; Bray, B.; Gannon, B.; Tyson, S. Factors influencing the amount of therapy received during inpatient stroke care: An analysis of data from the UK Sentinel Stroke National Audit Programme. Clin. Rehabil. 2020, 34, 981–991. [Google Scholar] [CrossRef]
- Morone, G.; Paolucci, S.; Mattia, D.; Pichiorri, F.; Tramontano, M.; Iosa, M. The 3Ts of the new millennium neurorehabilita-tion gym: Therapy, technology, translationality. Expert Rev. Med. Devices 2016, 13, 785–787. [Google Scholar] [CrossRef]
- Morone, G.; Spitoni, G.F.; De Bartolo, D.; Ghanbari Ghooshchy, S.; Di Iulio, F.; Paolucci, S.; Zoccolotti, P.; Iosa, M. Rehabilitative devices for a top-down approach. Expert Rev. Med. Devices 2019, 16, 187–195. [Google Scholar] [CrossRef]
- Souliotis, K.; Agapidaki, E.; Peppou, L.E.; Tzavara, C.; Varvaras, D.; Buonomo, O.C.; Debiais, D.; Hasurdjiev, S.; Sarkozy, F. Assessing Patient Organization Participation in Health Policy: A Comparative Study in France and Italy. Int. J. Health Policy Manag. 2018, 7, 48–58. [Google Scholar] [CrossRef]
- Castiglia, S.F.; Galeoto, G.; Lauta, A.; Palumbo, A.; Tirinelli, F.; Viselli, F.; Santilli, V.; Sacchetti, M.L. The culturally adapted Italian version of the Barthel Index (IcaBI): Assessment of structural validity, inter-rater reliability and responsiveness to clin-ically relevant improvements in patients admitted to inpatient rehabilitation centers. Funct. Neurol. 2017, 22, 221–228. [Google Scholar] [CrossRef]
- Apolone, G.; Mosconi, P. The Italian SF-36 Health Survey: Translation, validation and norming. J. Clin. Epidemiol. 1998, 51, 1025–1036. [Google Scholar] [CrossRef]
- Carlsson, A.M. Assessment of chronic pain. I. Aspects of the reliability and validity of the visual analogue scale. Pain 1983, 16, 87–101. [Google Scholar] [CrossRef]
- Sangha, H.; Lipson, D.; Foley, N.; Salter, K.; Bhogal, S.; Pohani, G.; Teasell, R.W. A comparison of the Barthel Index and the Functional Independence Measure as outcome measures in stroke rehabilitation: Patterns of disability scale usage in clinical trials. Int. J. Rehabil. Res. 2005, 28, 135–139. [Google Scholar] [CrossRef] [PubMed]
- Shah, S.; Vanclay, F.; Cooper, B. Efficiency, effectiveness, and duration of stroke rehabilitation. Stroke 1990, 21, 241–246. [Google Scholar] [CrossRef] [PubMed]
- Cumming, T.B.; Marshall, R.S.; Lazar, R.M. Stroke, Cognitive Deficits, and Rehabilitation: Still an Incomplete Picture. Int. J. Stroke 2013, 8, 38–45. [Google Scholar] [CrossRef]
- Park, J.H.; Kim, B.J.; Bae, H.J.; Lee, J.; Lee, J.; Han, M.K. Impact of Post-Stroke Cognitive Impairment with No Dementia on Health-Related Quality of Life. J. Stroke 2013, 15, 49–56. [Google Scholar] [CrossRef] [PubMed]
- WHO. Expert Committee on Disability Prevention and Rehabilitation. Disability prevention and rehabilitation. World Health Organ. Tech. Rep. Ser. 1981, 668, 1–39. [Google Scholar]
- Tramontano, M.; Morone, G.; Palomba, A.; De Angelis, S.; Mercuro, A.; Caltagirone, C.; Grasso, M.G. Effectiveness of a sensor-based technology in upper limb motor recovery in post-acute stroke neurorehabilitation: A randomized controlled trial. J. Biol. Regul. Homeost. Agents 2021, 34, 165–174. [Google Scholar]
- Tramontano, M.; Morone, G.; De Angelis, S.; Casagrande Conti, L.; Galeoto, G.; Grasso, M.G. Sensor-based technology for upper limb rehabilitation in patients with multiple sclerosis: A randomized controlled trial. Restor. Neurol. Neurosci. 2020, 38, 333–341. [Google Scholar] [CrossRef]
- Bragoni, M.; Broccoli, M.; Iosa., M.; Morone, G.; De Angelis, D.; Venturiero, V.; Coiro, P.; Pratesi, L.; Mezzetti, G.; Fusco, A.; et al. Influence of psychologic features on rehabilitation outcomes in patients with subacute stroke trained with robotic-aided walking therapy. Am. J. Phys. Med. Rehabil. 2013, 92, e16–e25. [Google Scholar] [CrossRef]
- De Bartolo, D.; Spitoni, G.F.; Iosa, M.; Morone, G.; Ciancarelli, I.; Paolucci, S.; Antonucci, G. From movement to thought and back: A review on the role of cognitive factors influencing technological neurorehabilitation. Funct. Neurol. 2020, 34, 131–144. [Google Scholar]
- De Bartolo, D.; Morone, G.; Lupo, A.; Aloise, F.; Baricich, A.; Di Francesco, D.; Calderone, C.; Cisari, C.; Verdecchia, G.; Sandrini, G.; et al. From paper to informatics: The Post Soft Care-App, an easy-to-use and fast tool to help therapists identify unmet needs in stroke patients. Funct. Neurol. 2018, 33, 200–205. [Google Scholar] [PubMed]
- Iosa, M.; Aydin, M.; Candelise, C.; Coda, N.; Morone, G.; Antonucci, G.; Marinozzi, F.; Bini, F.; Paolucci, S.; Tieri, G. The Michelangelo Effect: Art Improves the Performance in a Virtual Reality Task Developed for Upper Limb Neurorehabilitation. Front. Psychol. 2021, 11, 611956. [Google Scholar] [CrossRef]
- Horton, A.; Hebson, G.; Holman, D. A longitudinal study of the turning points and trajectories of therapeutic relationship development in occupational and physical therapy. BMC Heal. Serv. Res. 2021, 21, 1–14. [Google Scholar] [CrossRef] [PubMed]
- Vestøl, I.; Debesay, J.; Pajalic, Z.; Bergland, A. The importance of a good therapeutic alliance in promoting exercise motivation in a group of older Norwegians in the subacute phase of hip fracture; a qualitative study. BMC Geriatr. 2020, 20, 118. [Google Scholar] [CrossRef] [PubMed]
- Van Willigen, Z.; Ostler, C.; Thackray, D.; Cusack, R. Patient and family experience of physical rehabilitation on the intensive care unit: A qualitative exploration. Physiotherapy 2020, 109, 102–110. [Google Scholar] [CrossRef] [PubMed]
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 |
Psychometric Properties of PRPS | Results of the Italian Version of PRPS | Results of the Original Study on PRPS [8] |
---|---|---|
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 in 9 sessions (p = 0.47, Wilcoxon test) From to 4.78 ± 1.24 to 5.13 ± 0.79 in all sessions (p = 0.04, Wilcoxon test) | From 4.29 ± 0.93 to 4.67 ± 1.04 in 9 sessions (p < 0.0001, t-test) |
Inter-rater reliability | ICC = 0.926 Cronbach’s alpha = 0.962 | ICC = 0.91 for occupational therapists ICC = 0.96 for physical therapists |
Intra-rater reliability | ICC = 0.844, Cronbach’s alpha = 0.982 (first 10S) ICC = 0.756, Cronbach’s alpha = 0.969 (last 10S) | Not assessed |
Concurrent validity | R = 0.633 (p < 0.001) with BI R = −0.400 (p = 0.023) with age R = 0.518 (p = 0.002) with SF-36PH R = 0.433 (p = 0.013) with SF-36MH | R = 0.38 (p < 0.001) with FIM R = −0.21 (p < 0.001) with age |
Predictive Validity | R = 0.358 (p = 0.045) with BI-effectiveness R = 0.222 (p = 0.222) with SF36PH-effectiveness R = 0.035 (p = 0.851) with SF36MH-effectiveness | R = 0.32 (p < 0.001) with change in FIM R = −0.13 (p < 0.05) with length of stay |
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Iosa, M.; Galeoto, G.; De Bartolo, D.; Russo, V.; Ruotolo, I.; Spitoni, G.F.; Ciancarelli, I.; Tramontano, M.; Antonucci, G.; Paolucci, S.; et al. Italian Version of the Pittsburgh Rehabilitation Participation Scale: Psychometric Analysis of Validity and Reliability. Brain Sci. 2021, 11, 626. https://doi.org/10.3390/brainsci11050626
Iosa M, Galeoto G, De Bartolo D, Russo V, Ruotolo I, Spitoni GF, Ciancarelli I, Tramontano M, Antonucci G, Paolucci S, et al. Italian Version of the Pittsburgh Rehabilitation Participation Scale: Psychometric Analysis of Validity and Reliability. Brain Sciences. 2021; 11(5):626. https://doi.org/10.3390/brainsci11050626
Chicago/Turabian StyleIosa, Marco, Giovanni Galeoto, Daniela De Bartolo, Valentina Russo, Ilaria Ruotolo, Grazia Fernanda Spitoni, Irene Ciancarelli, Marco Tramontano, Gabriella Antonucci, Stefano Paolucci, and et al. 2021. "Italian Version of the Pittsburgh Rehabilitation Participation Scale: Psychometric Analysis of Validity and Reliability" Brain Sciences 11, no. 5: 626. https://doi.org/10.3390/brainsci11050626
APA StyleIosa, M., Galeoto, G., De Bartolo, D., Russo, V., Ruotolo, I., Spitoni, G. F., Ciancarelli, I., Tramontano, M., Antonucci, G., Paolucci, S., & Morone, G. (2021). Italian Version of the Pittsburgh Rehabilitation Participation Scale: Psychometric Analysis of Validity and Reliability. Brain Sciences, 11(5), 626. https://doi.org/10.3390/brainsci11050626