Computer-Based Case Simulations for Assessment in Health Care: A Literature Review of Validity Evidence.
assessment
case simulations
clinical scenarios
computer-based
decision-making
replication
virtual patients
Journal
Evaluation & the health professions
ISSN: 1552-3918
Titre abrégé: Eval Health Prof
Pays: United States
ID NLM: 7805992
Informations de publication
Date de publication:
03 2019
03 2019
Historique:
pubmed:
21
7
2017
medline:
5
9
2020
entrez:
21
7
2017
Statut:
ppublish
Résumé
Simulation for education and training in health-care professions has been widely applied. However, its value as an assessment tool for competence is not fully known. Logistical barriers of simulation-based assessments have led some health-care organizations to utilize computer-based case simulations (CCSs) for assessment. This article provides a review of the literature on the identification of psychometrically sound, CCS instruments designed to measure decision-making competence in health-care professionals. CINAHL, MEDLINE, and Ovid databases identified 84 potentially relevant articles published between January 2000 and May 2017. A total of 12 articles met criteria for inclusion in this review. Findings of these 12 articles indicate that summative assessment in health care using CCSs in the form of clinical scenarios is utilized to assess higher order performance aspects of competence in the form of decision-making. Psychometric strength was validated in eight articles and supported by four replication studies. Two of the eight articles reported evidence of construct validity and support the need for evidence based on a theoretical framework. This literature review offers implications for further research on the use of CCS tools as a method for assessment of competence in health-care professionals and the need for psychometric evidence to support it.
Identifiants
pubmed: 28727944
doi: 10.1177/0163278717718609
doi:
Types de publication
Journal Article
Review
Langues
eng