Psychometric appraisal of the Readiness for Interprofessional Learning Scale (RIPLS) Arabic-version

Abstract

Interprofessional education within healthcare has been shown to have many benefits, however, it is a relatively new educational concept within the Arabic setting. Although the Readiness for Interprofessional Learning Scale is a commonly utilised tool to examine student attitudes, there is a lack of evidence for use of an Arabic translated version. The aim of this study was to develop and psychometrically evaluate an Arabic language version of the Readiness for Interprofessional Learning Scale with Saudi nurses. Two independent translators, proficient in both English and Arabic languages, completed a forward-backward translation of the original English version of the Readiness for Interprofessional Learning Scale. Subsequently, this Readiness for Interprofessional Learning Scale–Arabic version was used to collect data from undergraduate nursing students enrolled at a number of Saudi Arabian universities. Exploratory and Confirmatory Factor Analyses were then performed on the scale. Six hundred and fifty-two participants were recruited. Exploratory Factor Analysis of the Readiness for Interprofessional Learning Scale-Arabic version resulted in a 15-item, three-factor model. Subsequent analysis with Confirmatory Factor Analysis and the resultant final 13-item model demonstrated a poor fit between the hypothesized model and the data. Although our three-factor model is supported by previous studies, the proposed model did not perform well on Confirmatory Factor Analysis assessment. This suggests that there may be issues of applicability of the Readiness for Interprofessional Learning Scale-Arabic version within the current cohort. The present study of the Readiness for Interprofessional Learning Scale-Arabic version has demonstrated some psychometric inadequacies and thus it is possible that this scale may not be appropriate for use with Saudi nurses. However further research with different professional groups is suggested to fully explore its utility within the Saudi setting.