Radiographers' experiences of image interpretation training in a low-resource setting

Abstract

IntroductionRadiographers extend their roles through formal and on-the-job training to keep up with clinical practice changes. One area of role extension that is now incorporated into undergraduate programmes is image interpretation, although the training provided may vary between institutions. This study explored the experiences of graduates from one higher education institution in a low-resource context with regard to their image interpretation training. MethodsA qualitative phenomenological research design was employed to investigate the experiences of ten radiography graduates who were purposively selected from one higher education institution. Individual semi-structured interviews were conducted with each participant after obtaining their informed consent. The interview recordings were transcribed and analysed using Atlas.ti Windows (Version 9.0) software, following Colaizzi's seven-steps of data analysis. ResultsFrom the ten interviews conducted, teaching approach, clinical education, and assessment strategy emerged as areas of experience within the teaching and learning theme, while practitioner role modelling, skill utilisation, and industry impact were sub-themes under the paradoxical reality theme. The participants' experiences indicated a theory-practice gap in image interpretation among radiographers. ConclusionThe participants' experiences reflected a misalignment in the educational process due to inadequacies in the teaching approach, clinical education, and assessment strategies. Participants encountered significant differences between their expectations and clinical realities during and after training. Image interpretation by radiographers was recognised as a relevant area for role extension in this low-resource setting. Implications for practiceWhile these findings are specific to the experiences of the participants, conducting similar research in comparable contexts and implementing competency-based image interpretation assessments could help identify gaps and guide interventions to address shortcomings.