Evidence map›Paper›PMID 36735834›Full record

ArticleJMIR medical education2023

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.

Nadine Ann Skinner, Nophiwe Job, Julie Krause, Ariel Frankel, Victoria Ward, Jamie Sewan Johnston

Abstract read
In one paragraph

Article in JMIR medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nadine Ann SkinnerStanford Center for Health Education, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0003-0730-8190
Nophiwe JobStanford Center for Health Education, Stanford University, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-4266-8581
Julie KrauseLast Mile Health, Boston, MA, United States.ORCID https://orcid.org/0000-0002-5858-5043
Ariel FrankelTechChange, Washington, DC, United States.ORCID https://orcid.org/0000-0001-6836-7093
Victoria WardStanford Center for Health Education, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0002-2283-4052
Jamie Sewan JohnstonStanford Center for Health Education, Stanford University, Stanford, CA, United States.ORCID https://orcid.org/0000-0001-6992-5958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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 remain largely unexplored.

objectiveThis study investigated 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 investigated 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.

methodsThe study examined global course enrollment patterns (N=2185) and performed in-depth interviews with a purposive subsample of health professionals enrolled in the course series (N=12) 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.

resultsThe 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 the 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 the content to share with others.

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

Indexed as

community health workersCOVID-19 pandemicdigital educationdigital healthglobal health educationhealth care accesspartnerships for healthremote learning

Identifiers

PMID36735834
PMCPMC9999253

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.