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Evaluation of a simulation faculty training workshop in a low-resource setting: a qualitative study


Introduction Simulation instructor training courses are infrequent in low-resource countries. PediSTARS India organisation has been conducting a Training of Trainers (TOT) workshop annually since 2014 and has trained 380 instructors in the last 6 years. The objective of this study is to evaluate this workshop using the basic Kirkpatrick model with a blended evaluation approach.

Methods A qualitative study design was used with purposive sampling from the 2018 workshop cohort. An initial online questionnaire gathered demographic and professional profile of participants. Semistructured interviews with those who consented explored their perceptions about the workshop and their experiences using simulation for training at their workplaces. The analysis was done based on a deductive research approach around the framework of the first three levels of the Kirkpatrick model.

Results A total of 11 in-depth interviews were conducted. Participants reported long-term retention, translation and positive impact of the knowledge and skills gained at the TOT workshop. The results achieved saturation and underwent respondent validation.

Conclusion This study provides evidence to support simulation faculty training workshops as an effective educational intervention in promoting simulation-related workplace-based education and training among health practitioners and that follow-up activity may be useful in some cases. This is the first study of its kind in a low-resource setting, and supports similar simulation instructor training in these settings and provides a blueprint for such training. Follow-up studies are required to evaluate the longer term impact of this simulation instructor training.

  • simulation-based training
  • transfer of training
  • qualitative research
  • faculty development
  • debriefing/facilitating

Data availability statement

All data relevant to the study are included in the article or uploaded as supplemental information. The dataset supporting the conclusions is included in the article and its additional files.

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