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Titre : | Development and psychometric testing of the 10-item satisfaction with Nursing Skill Examination: Objective Structured Clinical Assessment scale (2020) |
Auteurs : | Leanne Hunt ; Lucie M. Ramjan ; Miranda Daly ; Peter A. Lewis ; Rebecca O'Reilly ; Sue Willis ; Yenna Salamonson |
Type de document : | Article |
Dans : | Nurse Education in Practice (Vol. 45, May 2020) |
Article en page(s) : | 102779 |
Note générale : | https://doi.org/10.1016/j.nepr.2020.102779 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Contrôle de qualité ; Echelle d'évaluation ; Enquête de satisfaction ; Evaluation des compétences ; Psychométrie |
Mots-clés: | Évaluation clinique objective structurée |
Résumé : | The Objective Structured Clinical Examination (OSCE) or Assessment (OSCA) has traditionally been used in disciplines such as medicine and nursing, to assess students' competence to perform clinical skills safely in a simulated hospital environment. Despite its accepted use, a validated and reliable tool has yet to be developed and tested to assess students' perception of and satisfaction with this mode of assessment. This study developed and tested the psychometric properties of a brief Objective Structured Clinical Examination tool for assessing student perception that could have transferability across health education settings. The study used a cross-sectional survey design. Final year students (n = 727) enrolled in an undergraduate nursing program in Western Sydney completed the 10-item Satisfaction with Nursing Skill Examination: Objective Structured Clinical Assessment (SINE-OSCA) Scale in 2017. Exploratory factor analysis uncovered a one-component structure with component loading that ranged from 0.45 to 0.86. Cronbach's alpha of the SINE-OSCA was 0.91. Socio-demographic group comparisons revealed that respondents who were: i) male (p = 0.003); ii) non-native-born (p |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/abs/pii/S1471595318301483#! |