| Titre : | Interrater Reliability of the Power Mobility Road Test in the Virtual Reality–Based Simulator-2 (2016) |
| Auteurs : | Deepan C. Kamaraj ; Brad E. Dicianno ; Harshal P. Mahajan |
| Type de document : | Article |
| Dans : | Archives of Physical Medicine and Rehabilitation (2016/7, 2016) |
| Article en page(s) : | pp. 1078–1084 |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci Evaluation de processus en soins de santé ; Rééducation et réadaptation |
| Mots-clés: | Durable medical equipment ; Matériel médical durable ; Neurological rehabilitation ; Rééducation neurologique ; Process assessment (health care) ; Reproducibility of results ; Reproductibilité des résultats ; Simulation training ; Formation par simulation ; Virtual reality exposure therapy ; Thérapie par réalité virtuelle ; Wheelchairs ; Fauteuils roulants |
| Résumé : |
Objective To assess interrater reliability of the Power Mobility Road Test (PMRT) when administered through the Virtual Reality–based SIMulator–version 2 (VRSIM-2). Design Within-subjects repeated-measures design. Setting Participants interacted with VRSIM-2 through 2 display options (desktop monitor vs immersive virtual reality screens) using 2 control interfaces (roller system vs conventional movement-sensing joystick), providing 4 different driving scenarios (driving conditions 1–4). Participants performed 3 virtual driving sessions for each of the 2 display screens and 1 session through a real-world driving course (driving condition 5). The virtual PMRT was conducted in a simulated indoor office space, and an equivalent course was charted in an open space for the real-world assessment. After every change in driving condition, participants completed a self-reported workload assessment questionnaire, the Task Load Index, developed by the National Aeronautics and Space Administration. Participants A convenience sample of electric-powered wheelchair (EPW) athletes (N=21) recruited at the 31st National Veterans Wheelchair Games. Interventions Not applicable. Main Outcome Measures Total composite PMRT score. Results The PMRT had high interrater reliability (intraclass correlation coefficient [ICC]>.75) between the 2 raters in all 5 driving conditions. Post hoc analyses revealed that the reliability analyses had >80% power to detect high ICCs in driving conditions 1 and 4. Conclusions The PMRT has high interrater reliability in conditions 1 and 4 and could be used to assess EPW driving performance virtually in VRSIM-2. However, further psychometric assessment is necessary to assess the feasibility of administering the PMRT using the different interfaces of VRSIM-2. |
| Disponible en ligne : | Oui |
| En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999316001349 |
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