This study evaluates the effectiveness of a blended Health Informatics (HI) course (HI471) on knowledge retention and technology awareness among health science students in Nepal. Bachelor of Public Health (BPH) students (intervention group, n=17) received a 14-week HI471 course combining online, virtual, and in-person practical sessions. A control group of Bachelor of Pharmacy (B.Pharm) students (n=17) continued their standard curriculum without dedicated HI instruction. Both groups completed a validated 44-item knowledge assessment and an 11-item technology awareness survey at baseline (Week 1) and post-intervention (Week 15). The primary outcome was the between-group difference in knowledge gain scores. Results showed that BPH students significantly improved their total knowledge scores (median +31.5 points, r=0.879), while the B.Pharm control group showed no significant change. BPH students achieved 100% awareness of 9 out of 11 digital health tools at post-test. This study provides strong evidence that the HI471 blended course is highly effective in building informatics competencies in a low- and middle-income country (LMIC) academic setting. The study was retrospectively registered.
This controlled pre-test/post-test quasi-experimental study with a non-equivalent control group evaluated the effectiveness of the Health Informatics-471 (HI471) blended course at Madan Bhandari Academy of Health Sciences (MBAHS) in Nepal. The intervention group (G1) consisted of all 17 Bachelor of Public Health (BPH) students enrolled in the 7th semester, who received the HI471 course. The control group (G2) consisted of 17 Bachelor of Pharmacy (B.Pharm) 7th-semester students, randomly sampled from 29 eligible students, who received no dedicated HI instruction. The HI471 course integrated three blended modalities over 14 weeks: (i) online asynchronous LMS instruction (pre-recorded lectures, readings, quizzes), (ii) live synchronous Google Meet sessions, and (iii) in-person practical laboratory sessions covering EHR platforms, DHIS2, SPSS/R, and telemedicine interfaces. A validated 44-item Health Informatics Knowledge Assessment Tool (with weighted partial-credit scoring, maximum 100 points) and an 11-item binary technology awareness instrument were administered at T1 (Week 1, baseline) and T2 (Week 15, post-intervention). The primary outcome was the between-group difference in total knowledge gain scores (Δ = T2 - T1), analyzed using non-parametric statistics (Mann-Whitney U, Wilcoxon signed-rank, Friedman, McNemar) with bootstrap effect sizes. The study demonstrated large, significant knowledge gains in the intervention group (median +31.5 points, r=0.824, p\<0.001) compared to the control group, with robust findings across three pre-specified sensitivity analyses. The intervention group achieved near-complete technology awareness (100% on 9 out of 11 tools). This research addresses the evidence gap for controlled educational evaluations in low- and middle-income country (LMIC) academic settings. The study protocol was approved by the MBAHS Institutional Review Committee (IRC-134-082-083), and all participants provided written informed consent. The study was conducted in compliance with the Declaration of Helsinki (revised 2013). The study was registered retrospectively.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
34
A 14-week blended educational course combining: (i) online asynchronous LMS instruction (pre-recorded lectures, readings, quizzes); (ii) live synchronous Google Meet sessions (2 hours, 3 days per week); and (iii) in-person practical laboratory sessions (4 hours per week) covering Electronic Health Records (EHR), DHIS2, SPSS/R, and telemedicine interfaces. No drug, device, biological product, or surgical procedure was involved. This is a purely educational/behavioral intervention delivered in an academic setting.
Madan Bhandari Academy of Health Sciences
Hetauda, Bagmati, Nepal
Change in Total Health Informatics Knowledge Score
Measured using the Health Informatics Knowledge Assessment Tool (HIKAT) - a validated 44-item multiple-select instrument with weighted partial-credit scoring. Scores range from 0 to 100 points, where higher scores indicate better health informatics knowledge. Administered to both groups at T1 (Week 1, pre-test) and T2 (Week 15, post-test). The primary causal contrast is the between-group difference in gain scores (Δ = T2 - T1), analyzed using Mann-Whitney U test with bootstrapped effect sizes.
Time frame: Baseline (Week 1) to post-intervention (Week 15)
Domain-Specific Knowledge Gains Across Six HI Content Areas
Change in knowledge scores across six domain areas assessed using the Health Informatics Knowledge Assessment Tool (HIKAT): D1 General HI/Introduction to IT, D2 Operating Systems \& Software, D3 Public Health \& IT, D4 Database Management, D5+6 Data Analysis \& Coding, and D7 Telemedicine. Each domain score is expressed as a percentage of the domain maximum (minimum: 0%, maximum: 100%), where higher scores indicate greater domain-specific health informatics knowledge. Domain gains are analyzed using Friedman test with Kendall W and Holm-corrected post-hoc Wilcoxon signed-rank tests within the intervention group.
Time frame: Baseline (Week 1) to post-intervention (Week 15)
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.