Level of awareness of simulation-based training among clinical medicine lecturers at Kenya Medical Training College
DOI :
https://doi.org/10.51867/scimundi.6.1.39Mots-clés :
Awareness of Simulation-Based Training, Clinical Medicine Lecturers, Kenya Medical Training College, Simulation-Based TrainingRésumé
Simulation-based training (SBT) has emerged as a growing field in our awareness of an effective pedagogical means to improve clinical competence, patient safety, and experiential learning in medical education. Kenya Medical Training College (KMTC) has invested in simulation facilities in order to support competency-based training, but the use of SBT by clinical medicine lecturers is inconsistent across campuses. There is limited empirical evidence on the factors affecting the adoption and application of SBT among lecturers in mid-level medical training institutions. This study sought to assess the level of awareness of SBT among clinical medicine lecturers at KMTC. The study was guided by the theory of innovation diffusion. The research design used was analytical and cross-sectional. The sampling techniques used were cluster and simple random. The target population included 250 lecturers of clinical medicine in 45 KMTC campuses in Kenya. A sample size was determined using Taro Yamane's formula, which generated 153 lecturers. Data collection was conducted using a structured online questionnaire through Google Forms. Data analysis was performed with the Statistical Package for the Social Sciences (SPSS) version 27.0 by means of descriptive statistics, such as frequencies, percentages, means, and standard deviations, and inferential statistics, including regression analysis. The findings revealed that most respondents agreed SBT provides safe development of clinical skills, as students can make errors without harm to patients, with 24.2% indicating agreement and 66.0% strong agreement. Knowledge of KMTC or national policies/guidelines promoting simulation in medical education was more variable (agree, 29.4%; strongly agree, 22.2%). There was high conceptual awareness about the patient safety advantage, with 90.2% of lecturers agreeing that SBT allows risk-free practice of clinical skills. Regression analysis revealed that the level of awareness of SBT among clinical medicine lecturers predicted 9.3% of the utilisation of SBT (β=.305, R²=.093, p<.001). The study concludes that KMTC clinical medicine lecturers' awareness of simulation-based training is pedagogically informed but operationally limited. Despite lecturers acknowledging the advantages of SBT as a method of patient safety and procedural competence, knowledge of particular modalities and individual exposure is low, which leads to a hesitant and rare use. The study recommends that KMTC need to shift the indicative awareness-building on theoretical advocacy into practical pedagogy by instituting mandatory, cadre-specific faculty development programmes. They should focus on practical training on scenario design, facilitation, and structured debriefing and mentoring by the early adopters. A combination of awareness measures and utilisation results from institutional monitoring will make it possible to provide targeted assistance.
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Abahuje, E., Tuyishime, E., & Alayande, B. T. (2025). Global surgical simulation education, current practices, and future directions. Surgery, 180, 109050. DOI: 10.1016/j.surg.2024.109050
Aftab, R., Ahmad, S., & Khan, F. (2024). Effect of simulation-based workshop on changing faculty teaching practices. Pakistan Journal of Medical Sciences, 40(8), 8598. https://doi.org/10.12669/pjms.40.8.8598
Alayande, B. T., Forbes, C., Masimbi, O., Kingpriest, P., Shimelash, N., Wina, F., & Bekele, A. (2023). The implementation of simulation-based learning for training undergraduate medical students in essential surgical care across sub-Saharan Africa: A scoping review. Medical Science Educator, 34(1), 237-256. https://doi.org/10.1007/s40670-023-01898-6
Barlow, M., Heaton, L., Ryan, C., Downer, T., Reid-Searl, K., Guinea, S., Andersen, P., & Hawes, P. (2024). The application and integration of evidence-based best practice standards to healthcare simulation design: A scoping review. Clinical Simulation in Nursing, 87, 101495. https://doi.org/10.1016/j.ecns.2023.101495
Elendu, C., Amaechi, D. C., Okatta, A. U., Amaechi, E. C., Elendu, T. C., Ezeh, C. P., & Elendu, I. D. (2024). The impact of simulation-based training in medical education: A review. Medicine (Baltimore), 103(27), e38813. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11224887/
https://doi.org/10.1097/MD.0000000000038813
Fant, C., Olwala, M., Laanoi, G. M., Murithi, G., Otieno, W., Groothuis, E., & Doobay Persaud, A. (2022). Virtual faculty development in simulation in sub-Saharan Africa: A pilot training for pediatricians in Kisumu, Kenya. Frontiers in Pediatrics, 10, 957386. https://doi.org/10.3389/fped.2022.957386
Gaba, D. M. (2004). The future vision of simulation in health care. Quality and Safety in Health Care, 13(Suppl 1), i2-i10. https://doi.org/10.1136/qshc.2004.009878
Ismail, F. W., Ajani, K., Baqir, S. M., Nadeem, A., Qureshi, R., & Petrucka, P. (2024). Challenges and opportunities in the uptake of simulation in healthcare education in the developing world: a scoping review. MedEdPublish, 14, 38. doi: 10.12688/mep.20271.1
Karimijavan, G., Alizadeh, M., Ranjbar, F., Ghaffarifar, S., & Karimi, S. E. (2026). Determinants of effective feedback on educational performance of faculty members based on their own experiences: a content analysis study. BMC medical education, 26(1), 304. https://doi.org/10.1186/s12909-026-08601-4
Kavinya, M. P., Lugulu, J., & Mosol, P. (2023). Examining the challenges affecting the application of innovative simulation-based teaching and learning among teaching staff in selected Kenya Medical Training College campuses offering medical laboratory sciences in Kenya. International Journal of Tropical Diseases, 6, 071. https://doi.org/10.23937/2643-461X/1710071
Motola, I., Devine, L. A., Chung, H. S., Sullivan, J. E., & Issenberg, S. B. (2013). Simulation in healthcare education: A best evidence practical guide. AMEE Guide No. 82. Medical Teacher, 35(10), e1511-e1530. https://doi.org/10.3109/0142159X.2013.818632
Najjuma, J. N., Bajunirwe, F., Twine, M., Namata, T., Kyakwera, C. K., Cherop, M., & Santorino, D. (2020). Stakeholder perceptions about the establishment of medical simulation-based learning at a university in a low-resource setting: A qualitative study in Uganda. BMC Medical Education, 20, 379. https://doi.org/10.1186/s12909-020-02301-3
Nyamu, P., Gatere, R., & Kithinji, W. K. (2018). Evaluation of Utilization of Simulation as a Teaching and Learning Strategy at Kenya Medical Training College, Nairobi. International Journal of Current Aspects, 2(5), 12-28.
Pather, N., Blyth, P., Chapman, J. A., Dayal, M. R., Flack, N. A., Fogg, Q. A., … Lazarus, M. D. (2020). Forced disruption of anatomy education in Australia and New Zealand: An acute response to the COVID-19 pandemic. Anatomical Sciences Education, 13(3), 284-300. https://doi.org/10.1002/ase.1968
Robinson, S. J. A., Ritchie, A. M. A., Pacilli, M., Nestel, D., McLeod, E., & Nataraja, R. M. (2024). Simulation-based education of health workers in low- and middle-income countries: A systematic review. Global Health: Science and Practice, 12(6), e2400187. https://doi.org/10.9745/GHSP-D-24-00187
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Seethamraju, R. R., Stone, K. P., & Shepherd, M. (2022). Evolution of a simulation faculty development program in a low-resource setting. Simulation in Healthcare, 17(1), e122-e127. https://doi.org/10.1097/SIH.0000000000000563
Shikuku, D. N., Bar-Zeev, S., Ladur, A. N., Allott, H., Mwaura, C., Nandikove, P., & Ameh, C. (2022). Midwifery educators' experiences with simulation-based learning in Kenya. BMC Medical Education, 22, 387. DOI: 10.1186/s12909-024-05872-7
Sung, H., Kim, M., Park, J., Shin, N., & Han, Y. (2024). Effectiveness of virtual reality in healthcare education: A systematic review and meta-analysis. Sustainability, 16(19), 8520. https://doi.org/10.3390/su16198520
Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper & Row.
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(c) Tous droits réservés Kennedy Kinyua Njeru, Zippora Okoth, Jackson Mwangi 2026

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