Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Medical Education

Date Submitted: Sep 2, 2022
Open Peer Review Period: Sep 2, 2022 - Oct 28, 2022
Date Accepted: Jan 31, 2023
Date Submitted to PubMed: Feb 3, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

The Use of Open-Source Online Course Content for Training in Public Health Emergencies: Mixed Methods Case Study of a COVID-19 Course Series for Health Professionals

Skinner NA, Job N, Krause J, Frankel A, Ward V, Johnston J

The Use of Open-Source Online Course Content for Training in Public Health Emergencies: Mixed Methods Case Study of a COVID-19 Course Series for Health Professionals

JMIR Med Educ 2023;9:e42412

DOI: 10.2196/42412

PMID: 36735834

PMCID: 9999253

Use of open-source online course content for training in public health emergencies: Evidence from COVID-19 education for health professionals

  • Nadine Ann Skinner; 
  • Nophiwe Job; 
  • Julie Krause; 
  • Ariel Frankel; 
  • Victoria Ward; 
  • Jamie Johnston

ABSTRACT

Background:

The onset of the COVID-19 pandemic generated an urgent need for credible and actionable information to guide public health responses. The massive open-source online course (MOOC) format may be a valuable path for disseminating timely and widely accessible training for health professionals during public health crises; however, the reach and effectiveness of health-worker directed online courses during the pandemic remains largely unexplored.

Objective:

This study investigates the use of an open-source online course series designed to provide critical COVID-19 knowledge to frontline health workers and public health professionals globally. The study investigates how open-source online educational content can be optimized to support knowledge sharing among health professionals in public health emergencies, particularly in resource-limited contexts.

Methods:

The study examines global course enrollment patterns (N=2,185) and in-depth interviews with a purposive sub-sample of health professionals enrolled in the course series (N=12) selected to investigate the sharing of online content in pandemic responses. Interviewed learners were from Ethiopia, India, Kenya, Liberia, Malawi, Rwanda, Thailand, Uganda, the United Arab Emirates, and the United States. Inductive analysis and constant comparative methods were used to systematically code data and identify key themes emerging from interview data.

Results:

Analysis revealed that the online course content helped fill a critical gap in trustworthy COVID-19 information for pandemic responses and was shared through health worker professional and personal networks. Enrollment patterns and qualitative data illustrate how health professionals shared information within their professional networks. While learners shared knowledge they gained from the course, they expressed a need for contextualized information to more effectively educate others in their networks and in their communities. Due to technological and logistical barriers, participants did not attempt to adapt content to share with others.

Conclusions:

This study illustrates that health professional networks can facilitate the sharing of online open-source health education content, yet to fully leverage potential benefits, additional support is required to facilitate the adaptation of course content to more effectively reach communities globally.


 Citation

Please cite as:

Skinner NA, Job N, Krause J, Frankel A, Ward V, Johnston J

The Use of Open-Source Online Course Content for Training in Public Health Emergencies: Mixed Methods Case Study of a COVID-19 Course Series for Health Professionals

JMIR Med Educ 2023;9:e42412

DOI: 10.2196/42412

PMID: 36735834

PMCID: 9999253

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.