Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

biochemistry, genetics and molecular biology

A web-based global educational model for training in semen analysis during the covid-19 pandemic

World Journal of Men's Health, Volume 39, Year 2021

Purpose: In response to the COVID-19 pandemic, the American Center for Reproductive Medicine (ACRM) transitioned its annual training in assisted reproductive technology (ART) from a hands-on, laboratory-based training course to a fully online training endorsed by the American College of Embryology. Here we describe our experience and assess the quality of an online training format based on participant outcomes for the first three modules of a planned series of online ART training. Materials and Methods: These modules included manual semen analysis, sperm morphology and ancillary semen tests (testing for leukocytospermia, sperm vitality, and anti-sperm antibody screening). The virtual format consisted of lecture presentations featuring laboratory protocols with corresponding video demonstrations of routine techniques and best practices. Practical scenarios, troubleshooting, and clinical interpretation of laboratory results were also discussed. At the end of each module, an optional multiple choice question test was held as a prerequisite to obtain certification on the topics presented. Course quality was assessed using participant responses collected via online surveys. Results: The digital delivery methods used were found to have largely or completely met the participants' expectations for all questions (>85%). The majority (>87%) of the participants either strongly agreed or agreed that the course content was well-structured with appropriate depth, and that their overall expectations of the course had been met. Conclusions: This training format appears to be a realistic teaching option to freely share highly specialized expertise and technical knowledge with participants from anywhere in the world with varying levels of competency or experience.

Statistics
Citations: 26
Authors: 26
Affiliations: 24
Identifiers
Research Areas
Covid
Health System And Policy
Sexual And Reproductive Health
Study Design
Cross Sectional Study