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

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.

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Publication Details

Journal
Frontiers in Education
Published
2024-10-23
DOI
https://doi.org/10.3389/feduc.2024.1470075
Citations
1
Primary Topic
Hospital Admissions and Outcomes
Type
article
Field-Weighted Citation Impact
0.69

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article

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

Rafat Noor, Rajan Bola, Jan Christilaw, Victoria Gusa et al.
1 citations
Frontiers in Education
Hospital Admissions and Outcomes
0.69
article

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

Rafat Noor, Rajan Bola, Jan Christilaw, Victoria Gusa, Ronald Lett, Fanan Ujoh, Stephen Hodgins, Anja Dzunic-Wachilonga, Roseline Ape-aii, Isaac Ohene
article en
1 citations

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.

Frontiers in EducationVol. 9
University of British Columbia (CA), University of Alberta (CA), University of Mkar (NG), Joseph Sarwuan Tarka University Makurdi (NG), HIV Legal Network (CA)
Donner Canadian Foundation, Mitacs
Openalex Percentile: Top 25%
Hospital Admissions and Outcomes
0.69
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