Health Informatics Education Effectiveness in Nepal (HI-EDU)
7 juillet 2026 mis à jour par: 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.
Aperçu de l'étude
Statut
Complété
Les conditions
Intervention / Traitement
Description détaillée
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.
Type d'étude
Interventionnel
Inscription (Réel)
34
Phase
- N'est pas applicable
Contacts et emplacements
Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.
Lieux d'étude
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Bagmati
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Hetauda, Bagmati, Népal, 31206
- Madan Bhandari Academy of Health Sciences
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Critères de participation
Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.
Critère d'éligibilité
Âges éligibles pour étudier
- Adulte
- Adulte plus âgé
Accepte les volontaires sains
Oui
La 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).
Plan d'étude
Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: Autre
- Répartition: Non randomisé
- Modèle interventionnel: Affectation parallèle
- Masquage: Aucun (étiquette ouverte)
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
|---|---|
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Expérimental: 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.
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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.
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Aucune 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.
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Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Change in Total Health Informatics Knowledge Score
Délai: Baseline (Week 1) to post-intervention (Week 15)
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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.
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Baseline (Week 1) to post-intervention (Week 15)
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Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Domain-Specific Knowledge Gains Across Six HI Content Areas
Délai: Baseline (Week 1) to post-intervention (Week 15)
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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.
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Baseline (Week 1) to post-intervention (Week 15)
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Autres mesures de résultats
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Change in Technological Awareness Across Digital Health Tools
Délai: Baseline (Week 1) to post-intervention (Week 15)
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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.
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Baseline (Week 1) to post-intervention (Week 15)
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Collaborateurs et enquêteurs
C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.
Parrainer
Les enquêteurs
- Chercheur principal: Dip Bahadur Singh, Axon Infotech Research Academy
Dates d'enregistrement des études
Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.
Dates principales de l'étude
Début de l'étude (Réel)
15 avril 2026
Achèvement primaire (Réel)
20 juin 2026
Achèvement de l'étude (Réel)
30 juin 2026
Dates d'inscription aux études
Première soumission
2 juillet 2026
Première soumission répondant aux critères de contrôle qualité
7 juillet 2026
Première publication (Réel)
8 juillet 2026
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
8 juillet 2026
Dernière mise à jour soumise répondant aux critères de contrôle qualité
7 juillet 2026
Dernière vérification
1 juillet 2026
Plus d'information
Termes liés à cette étude
Autres numéros d'identification d'étude
- HI471-MBAHS-2026
- IRC-134-082-083 (Identificateur de registre: Madan Bhandari Academy of Health Sciences IRC)
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
NON
Description du régime IPD
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
Informations sur les médicaments et les dispositifs, documents d'étude
Étudie un produit pharmaceutique réglementé par la FDA américaine
Non
Étudie un produit d'appareil réglementé par la FDA américaine
Non
Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .