ArticleGlobal health action2022
Development and assessment of novel virtual COVID-19 trainer-of trainers course implemented by an academic-humanitarian partnership.
Article in Global health action, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Interventions to Enhance COVID-19 Pandemic Health Literacy in Health Professionals: Systematic Review.JMIR medical education · 2026Pooled it
- Investigating Healthcare Educators' Interprofessional Socialisation Following an Interprofessional Simulation Facilitator Training Programme: A Mixed Methods Study.Journal of advanced nursing · 2026Article
- Pandemic ready or playing catch-up? A scoping review of public health training programs for pandemic preparedness and response efforts.BMC public health · 2026Article
- Training a Continent: A Process Evaluation of Virtual Training on Infection Prevention and Control in Africa During COVID-19.Global health, science and practice · 2023Article
- Feasibility of project ECHO telementoring to build capacity among non-specialist emergency care providers.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2022Article
- Coronavirus Disease 2019 (COVID-19) Pandemic across Africa: Current Status of Vaccinations and Implications for the Future.Vaccines · 2022Article
- Establishment of a Rapid Phone Consultation Service for COVID-19 Public Health Support in Nepal.Cureus · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn response to the coronavirus disease (COVID-19) pandemic, Project HOPE®, an international humanitarian organization, partnered with Brown University to develop and deploy a virtual training-of-trainers (TOT) program to provide practical knowledge to healthcare stakeholders. This study is designed to evaluate this TOT program.
objectiveThe goal of this study is to assess the effectiveness of this educational intervention in enhancing knowledge on COVID-19 concepts and to present relative change in score of each competency domains of the training.
methodsThe training was created by interdisciplinary faculty from Brown University and delivered virtually. Training included eight COVID-19 specific modules on infection prevention and control, screening and triage, diagnosis and management, stabilization and resuscitation, surge capacity, surveillance, and risk communication and community education. The assessment of knowledge attainment in each of the course competency domain was conducted using 10 question pre-and post-test evaluations. Paired t-test were used to compare interval knowledge scores in the overall cohort and stratified by WHO regions. TOT dissemination data was collected from in-country partners by Project Hope.
resultsOver the period of 7 months, 4,291 personnel completed the TOT training in 55 countries, including all WHO regions. Pre-test and post-test were completed by 1,198 and 706 primary training participants, respectively. The mean scores on the pre-test and post-test were 68.45% and 81.4%, respectively. The mean change in score was 11.72%, with P value <0.0005. All WHO regions had a statistically significant improvement in their score in post-test. The training was disseminated to 97,809 health workers through local secondary training.
conclusionInnovative educational tools resulted in improvement in knowledge related to the COVID-19 pandemic, significantly increasing the average score on knowledge assessment testing. Academic - humanitarian partnerships can serve to implement and disseminate effective education rapidly across the globe.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.