Using criteria-based interview models for assessing clinical expertise to select physiotherapists at major multisport games

Phillips, Nicola, Grant, Marie Elaine and Booth, Lynn 2015. Using criteria-based interview models for assessing clinical expertise to select physiotherapists at major multisport games. British Journal of Sports Medicine 49 (5) , pp. 312-317. 10.1136/bjsports-2014-094176

Full text not available from this repository.

Abstract

Background: Benchmarking is an established means of identifying levels of specialist practice and competence-based interviews are a tool used to facilitate this. The London 2012 Olympic and Paralympic Games (LOCOG) provided an opportunity to introduce a pragmatic approach to assess expert behaviour in large numbers of volunteer physiotherapists. Aim: To test inter-tester repeatability of an assessment matrix used to score clinical expertise in a sporting context, followed by reporting on the findings for physiotherapy selection. Methods: Four volunteers were videoed answering an identical sport-specific clinical scenario. Recordings were initially scored by two experienced assessors (gold standard). Subsequently, nine assessors scored the same videos then compared with the gold standard. 602 physiotherapists were assessed during volunteer interviews for LOCOG. Scores were compared to those based on self-reported clinical experience. Cross-tabulation was used to determine levels of agreement for the initial scoring matrix and the relationship between the two scoring systems was analysed. Results: Levels of agreement ranged from 22% to 88%. A good correlation (r=0.754 p>0.001) was found between self-reported clinical experience and scenario scores. Marginal data points in the correlational analysis indicated that only 52% of participants attained the same score across assessments. Conclusions: A tool to facilitate assessment for large scale selection could be used for Host Nation physiotherapist selection for Major Games. There is a need to train assessors in this environment, as well as provide detailed matrices, specific to each context being assessed, to ensure that observations can be made on domain-specific and general, non-technical aspects.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Healthcare Sciences
Publisher:	BMJ Publishing Group
Last Modified:	05 Mar 2019 15:13
URI:	https://orca.cardiff.ac.uk/id/eprint/68784

Citation Data

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item