Health Informatics Education Effectiveness in Nepal (HI-EDU)

July 7, 2026 updated by: Dip Bahadur Singh, Axon Infotech Research Academy Pvt. Ltd.

Assessing the Comparative Effectiveness of Health Informatics Education: Knowledge Retention and Technological Awareness in Health Science Students

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.

Study Overview

Status

Completed

Detailed Description

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

Enrollment (Actual)

34

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Bagmati
      • Hetauda, Bagmati, Nepal, 31206
        • Madan Bhandari Academy of Health Sciences

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Active enrollment in the 7th semester of the Bachelor of Public Health (BPH) program (intervention group) or the Bachelor of Pharmacy (B.Pharm) program (control group) at Madan Bhandari Academy of Health Sciences (MBAHS).
  • Voluntary written informed consent obtained prior to any study procedure.
  • Completion of both T1 (Week 1, baseline) and T2 (Week 15, post-intervention) assessments.

Exclusion Criteria:

  • Withdrawal from the study before completion of all study procedures.
  • Incomplete paired data (missing T1 or T2 assessment).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: BPH Intervention Group
Bachelor of Public Health (BPH) 7th-semester students (n=17) who received the 14-week Health Informatics-471 (HI471) blended course, consisting of online asynchronous LMS instruction, live synchronous Google Meet sessions, and in-person practical laboratory work covering seven HI content domains.
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.
No Intervention: B.Pharm Control Group
Bachelor of Pharmacy (B.Pharm) 7th-semester students (n=17) who continued their standard curriculum without any dedicated Health Informatics instruction. This group served as the non-equivalent control group.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Total Health Informatics Knowledge Score
Time Frame: Baseline (Week 1) to post-intervention (Week 15)
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.
Baseline (Week 1) to post-intervention (Week 15)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Domain-Specific Knowledge Gains Across Six HI Content Areas
Time Frame: Baseline (Week 1) to post-intervention (Week 15)
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.
Baseline (Week 1) to post-intervention (Week 15)

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Technological Awareness Across Digital Health Tools
Time Frame: Baseline (Week 1) to post-intervention (Week 15)
Change in binary (Yes/No) awareness of 11 digital health tools: EHR, Telemedicine, HMIS, Public Health Informatics, GIS, HIMS, DBMS, Python, Programming Language, Telehealth Platforms, and Remote Patient Monitoring.
Baseline (Week 1) to post-intervention (Week 15)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Dip Bahadur Singh, Axon Infotech Research Academy

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 15, 2026

Primary Completion (Actual)

June 20, 2026

Study Completion (Actual)

June 30, 2026

Study Registration Dates

First Submitted

July 2, 2026

First Submitted That Met QC Criteria

July 7, 2026

First Posted (Actual)

July 8, 2026

Study Record Updates

Last Update Posted (Actual)

July 8, 2026

Last Update Submitted That Met QC Criteria

July 7, 2026

Last Verified

July 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • HI471-MBAHS-2026
  • IRC-134-082-083 (Registry Identifier: Madan Bhandari Academy of Health Sciences IRC)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data (IPD) will not be shared because participants did not provide consent for their individual-level data to be shared with external researchers. Additionally, the small sample size (n=34) increases the risk of participant re-identification, even with de-identification. All aggregated, anonymized summary data are presented in the published manuscript and supplementary materials

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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