Digital vs. conventional instructor-led midwifery training in Benue State, Nigeria: a randomized non-inferiority trial

Abstract

Background: Many health education institutions in African countries such as Nigeria face increasing enrolment of students but lack an adequate number of instructors to train them. If digital learning can be demonstrated effective in augmenting knowledge and skills, this approach could help fill this gap and improve education efficiency. A needs assessment in two Nigerian midwifery schools confirmed that digital learning would be feasible and welcomed. In this study, the Midwifery Active Digitization Empowerment Initiative (MADE-I) program was tested to determine if digital delivery of the Fundamental Interventions, Referral and Safe Transfer (FIRST) course is at least equally effective for training midwifery students compared to conventional small-group delivery. Methods: A non-inferiority randomized controlled trial design was used, enrolling 130 s-year students from 2 midwifery schools in Benue State, Nigeria. Students were randomly assigned into six cohorts. Each cohort received half of the course on a Learning Management Platform on their mobile phones, the other half through standard small-group teaching. Students’ knowledge, thinking, and technical skills were assessed using a pre-test, post-test, Objective Structured Clinical Exam (OSCE), and daily modular quizzes. The data was analyzed using the difference-in-difference method. Results: The study revealed that post-intervention student knowledge and thinking skills did not significantly differ between digital learning (75.26%) and small-group learning arms of the trial (75.02%, p = 0.404). Student knowledge improved significantly compared to the pre-test in both groups (by 25.03 points in the digital arm, 26.39, in small-group). Some differences were observed between digital and small-group learning in disaggregated analysis by specific module and midwifery school. Although there was a trend toward small-group learning of technical skills being more effective than digital learning, no significant differences between groups were observed in the post-intervention OSCE. Students in both groups learned equally well regardless of age, gender, and midwifery school entrance exam score. Conclusion: Digital learning is as effective as small-group learning, for midwifery trainees, in augmenting knowledge, thinking, and technical skills addressed in the FIRST course, and have lighter human resource requirements, an important consideration especially in LMIC. However, similar assessments would be needed to assess effectiveness for other digitally delivered clinical education programs. Copyright © 2024 Ujoh, Dzunic-Wachilonga, Noor, Gusa, Ape-aii, Ohene, Bola, Christilaw, Hodgins and Lett.

Author(s)

Ujoh F., Dzunic-Wachilonga A., Noor R., Gusa V., Ape-aii R.

Year

2024

Countries

Nigeria

Language

English

Research Method

Quantitative

Article Type

Peer-Reviewed Articles

Keywords

Higher education | Enrolment | Assessment | Health education | ICT in education | Excel Import

Full Citation Style

F., U., A., D., R., N., V., G., & R., A. (2024). Digital vs. conventional instructor-led midwifery training in Benue State, Nigeria: a randomized non-inferiority trial. Strategic Research Journal. https://doi.org/10.3389/feduc.2024.1470075
F., U., A., D., R., N., V., G. and R., A., 2024. Digital vs. conventional instructor-led midwifery training in Benue State, Nigeria: a randomized non-inferiority trial. Strategic Research Journal. Available at: <https://doi.org/10.3389/feduc.2024.1470075>
F., U., Dzunic-Wachilonga A., Noor R., Gusa V., and Ape-aii R.. "Digital vs. conventional instructor-led midwifery training in Benue State, Nigeria: a randomized non-inferiority trial." Strategic Research Journal (2024). https://doi.org/10.3389/feduc.2024.1470075
F. U, A. D, R. N, V. G, R. A. Digital vs. conventional instructor-led midwifery training in Benue State, Nigeria: a randomized non-inferiority trial. Strategic Research Journal. 2024; https://doi.org/10.3389/feduc.2024.1470075

Research Team

Ujoh F.

Ujoh F.

Dzunic-Wachilonga A.

Dzunic-Wachilonga A.

Noor R.

Noor R.

Gusa V.

Gusa V.

Ape-aii R.

Ape-aii R.

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