Evidence map›Paper›PMID 39411488›Full record

ArticleFrontiers in public health2024

Evaluation of a massive open online course for just-in-time training of healthcare workers.

Matthew Charles Strehlow, Jamie Sewan Johnston, Kelly Zhang Aluri, Charles G Prober, Peter Corrigan Acker, Avinash S Patil, Aditya Mahadevan, Swaminatha V Mahadevan

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Matthew Charles StrehlowDepartment of Emergency Medicine, Stanford University, Palo Alto, CA, United States.
Jamie Sewan JohnstonStanford Center for Health Education, Stanford University, Stanford, CA, United States.
Kelly Zhang AluriSchool of Medicine, Stanford University, Stanford, CA, United States.
Charles G ProberStanford Center for Health Education, Stanford University, Stanford, CA, United States.
Peter Corrigan AckerDepartment of Emergency Medicine, Stanford University, Palo Alto, CA, United States.
Avinash S PatilDepartment of Emergency Medicine, Stanford University, Palo Alto, CA, United States.
Aditya MahadevanUC Irvine School of Medicine, Irvine, CA, United States.
Swaminatha V MahadevanDepartment of Emergency Medicine, Stanford University, Palo Alto, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: COVID-19 created a global need for healthcare worker (HCW) training. Initially, mass trainings focused on public health workers and physicians working in intensive care units. However, in resource-constrained settings, nurses and general practitioners provide most patient care, typically lacking the training and equipment to manage critically ill patients. We developed a massive open online course (MOOC) for HCWs in resource-constrained settings aimed at training bedside providers caring for COVID-19 patients. We describe the development, implementation and analysis of this MOOC. Methods: From May through June 2020, the course was developed by a multi-disciplinary team and launched on two online platforms in July. The 4-hour course comprises 6 video-based modules. Student knowledge was assessed using pre- and post-module quizzes and final exam, while demographics and user experience were evaluated by pre- and post-course surveys and learning platform data. Results: From July 17th to September 24th, 30,859 students enrolled, 18,818 started, and 7,101 completed the course. Most participants worked in healthcare (78%) and resided in lower middle- (38%) or upper middle- (20%) income countries. Learners from upper middle-income and lower middle-income countries had higher completion rates. Knowledge gains were observed from pre-module to post-module quizzes and a final exam. Afterward, participants reported increased self-efficacy regarding course objectives, a 0.63 mean increase on a 4-point scale (95% CI [0.60,0.66]). Most participants (93%) would recommend the course to others. Conclusion: This article demonstrates the potential of MOOCs to rapidly provide access to emerging medical knowledge during a public health crisis, particularly for HCWs in high- and middle-income countries.

Indexed as

COVID-19Education, DistanceHealth PersonnelAdultFemaleHumansMaleProgram EvaluationSARS-CoV-2healthcare worker trainingLMICsMOOConline educationpandemic

Identifiers

PMID39411488
PMCPMC11478164

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.