Impact of interprofessional blended learning with low-fidelity simulation on neonatal resuscitation skills among interns: a quasi-experimental study in Tanzania

Abstract Background Despite the national rollout of the Helping Babies Breathe (HBB) program, neonatal mortality due to birth asphyxia remains a major challenge in Tanzania. Evidence shows that there is inadequate competence (including knowledge, skills, and attitudes) in newborn resuscitation among medical and nursing interns as they transition into practice. The traditional method of a one-day instructor-led HBB model provides little hands-on practice. Integrating low-fidelity simulation with blended learning may contribute to better transfer of learning and offer a more sustainable model for skills retention. Objective To evaluate the efficacy of interprofessional low-fidelity simulation with a blended-learning approach among medical and nursing interns’ HBB knowledge and skills in Dar es Salaam. Methods A controlled quasi-experimental design was used with 128 participants. Stratified random sampling by profession was used to select participants for the two groups (64 in the intervention group, 64 in the control group). The intervention group received a 2-h instructor-led online session and two days (16 h total) of hands-on low-fidelity simulation, guided by the HBB 2nd Edition curriculum (which emphasises the Golden Minute, preparation for birth, initial steps including stimulation and warming, bag-mask ventilation, and post-resuscitation care through interactive case-based scenarios and paired practice). The control group received reading materials and continued with their business-as-usual practice. Knowledge (17-item MCQ) and skills (18-item checklist) were assessed at baseline, immediately after intervention, and six weeks post-intervention for both groups. Data were analysed using IBM SPSS version 27, with an independent t-test and a linear mixed model (LMM). β coefficients represent adjusted mean differences from linear mixed models. Results The groups were similar at baseline. The intervention group showed significant improvements compared with the control group. Knowledge score increased by β = 5.39 immediately post-intervention post-training, and by β = 3.90 in six weeks (both p < 0.001). Skills improved by β = 5.36 immediately and β = 3.47 at six weeks (both p < 0.001). Conclusion Low-fidelity simulation with blended learning significantly improved HBB knowledge and skills among interns, with effects sustained at six weeks. This approach is practical and scalable for strengthening newborn resuscitation capacity in resource-limited settings. Trial registration Trial registered to Pan African Trial Registry with Reg no PACTR202512785351089.

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Publication Details

Journal
Advances in Simulation
Published
2026-06-18
DOI
https://doi.org/10.1186/s41077-026-00451-w
Primary Topic
Simulation-Based Education in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Impact of interprofessional blended learning with low-fidelity simulation on neonatal resuscitation skills among interns: a quasi-experimental study in Tanzania

Vicent Bankanie, Angelina A. Joho, Ambroce Stephen
Advances in Simulation
Simulation-Based Education in Healthcare
article

Impact of interprofessional blended learning with low-fidelity simulation on neonatal resuscitation skills among interns: a quasi-experimental study in Tanzania

Vicent Bankanie, Angelina A. Joho, Ambroce Stephen
article en

Abstract

Abstract Background Despite the national rollout of the Helping Babies Breathe (HBB) program, neonatal mortality due to birth asphyxia remains a major challenge in Tanzania. Evidence shows that there is inadequate competence (including knowledge, skills, and attitudes) in newborn resuscitation among medical and nursing interns as they transition into practice. The traditional method of a one-day instructor-led HBB model provides little hands-on practice. Integrating low-fidelity simulation with blended learning may contribute to better transfer of learning and offer a more sustainable model for skills retention. Objective To evaluate the efficacy of interprofessional low-fidelity simulation with a blended-learning approach among medical and nursing interns’ HBB knowledge and skills in Dar es Salaam. Methods A controlled quasi-experimental design was used with 128 participants. Stratified random sampling by profession was used to select participants for the two groups (64 in the intervention group, 64 in the control group). The intervention group received a 2-h instructor-led online session and two days (16 h total) of hands-on low-fidelity simulation, guided by the HBB 2nd Edition curriculum (which emphasises the Golden Minute, preparation for birth, initial steps including stimulation and warming, bag-mask ventilation, and post-resuscitation care through interactive case-based scenarios and paired practice). The control group received reading materials and continued with their business-as-usual practice. Knowledge (17-item MCQ) and skills (18-item checklist) were assessed at baseline, immediately after intervention, and six weeks post-intervention for both groups. Data were analysed using IBM SPSS version 27, with an independent t-test and a linear mixed model (LMM). β coefficients represent adjusted mean differences from linear mixed models. Results The groups were similar at baseline. The intervention group showed significant improvements compared with the control group. Knowledge score increased by β = 5.39 immediately post-intervention post-training, and by β = 3.90 in six weeks (both p < 0.001). Skills improved by β = 5.36 immediately and β = 3.47 at six weeks (both p < 0.001). Conclusion Low-fidelity simulation with blended learning significantly improved HBB knowledge and skills among interns, with effects sustained at six weeks. This approach is practical and scalable for strengthening newborn resuscitation capacity in resource-limited settings. Trial registration Trial registered to Pan African Trial Registry with Reg no PACTR202512785351089.

Advances in Simulation
The University of Dodoma (TZ), Hubert Kairuki Memorial University (TZ)
Quality Education
Openalex Percentile: Top 6%
Simulation-Based Education in Healthcare
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