Evidence map›Paper›PMID 38904474›Full record

ArticleJMIR medical education2024

Health Care Workers' Motivations for Enrolling in Massive Open Online Courses During a Public Health Emergency: Descriptive Analysis.

Jennifer Jones, Jamie Sewan Johnston, Ngouille Yabsa Ndiaye, Anna Tokar, Saumya Singla, Nadine Ann Skinner, Matthew Strehlow, Heini Utunen

Abstract read
In one paragraph

Article in JMIR medical education, 2024. 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. Network-Based Asynchronous Research Training in Breast Imaging: A Multinational Pre-Post Evaluation for Cancer Education.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  3. Article
  4. Article
  5. Article
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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.

Jennifer JonesStanford School of Medicine, Stanford, CA, United States.ORCID 0000-0001-6700-2105
Jamie Sewan JohnstonStanford Center for Health Education, Stanford, CA, United States.ORCID 0000-0001-6992-5958
Ngouille Yabsa NdiayeLearning and Capacity Development Unit, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-6051-9483
Anna TokarLearning and Capacity Development Unit, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.ORCID 0000-0003-4992-6819
Saumya SinglaStanford Center for Health Education, Stanford, CA, United States.ORCID 0009-0003-7406-7152
Nadine Ann SkinnerStanford Center for Health Education, Stanford, CA, United States.ORCID 0000-0003-0730-8190
Matthew StrehlowStanford School of Medicine, Stanford, CA, United States.ORCID 0000-0002-0049-9716
Heini UtunenLearning and Capacity Development Unit, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-0509-5067

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: Massive open online courses (MOOCs) are increasingly used to educate health care workers during public health emergencies. In early 2020, the World Health Organization (WHO) developed a series of MOOCs for COVID-19, introducing the disease and strategies to control its outbreak, with 6 courses specifically targeting health care workers as learners. In 2020, Stanford University also launched a MOOC designed to deliver accurate and timely education on COVID-19, equipping health care workers across the globe to provide health care safely and effectively to patients with the novel infectious disease. Although the use of MOOCs for just-in-time training has expanded during the pandemic, evidence is limited regarding the factors motivating health care workers to enroll in and complete courses, particularly in low-income countries (LICs) and lower-middle-income countries (LMICs). Objective: This study seeks to gain insights on the characteristics and motivations of learners turning to MOOCs for just-in-time training, to provide evidence that can better inform MOOC design to meet the needs of health care workers. We examine data from learners in 1 Stanford University and 6 WHO COVID-19 courses to identify (1) the characteristics of health care workers completing the courses and (2) the factors motivating them to enroll. Methods: We analyze (1) course registration data of the 49,098 health care workers who completed the 7 focal courses and (2) survey responses from 6272 course completers. The survey asked respondents to rank their motivations for enrollment and share feedback about their learning experience. We use descriptive statistics to compare responses by health care profession and by World Bank country income classification. Results: Health care workers completed the focal courses from all regions of the world, with nearly one-third (14,159/49,098, 28.84%) practicing in LICs and LMICs. Survey data revealed a diverse range of professional roles among the learners, including physicians (2171/6272, 34.61%); nurses (1599/6272, 25.49%); and other health care professionals such as allied health professionals, community health workers, paramedics, and pharmacists (2502/6272, 39.89%). Across all health care professions, the primary motivation to enroll was for personal learning to improve clinical practice. Continuing education credit was also an important motivator, particularly for nonphysicians and learners in LICs and LMICs. Course cost (3423/6272, 54.58%) and certification (4238/6272, 67.57%) were also important to a majority of learners. Conclusions: Our results demonstrate that a diverse range of health care professionals accessed MOOCs for just-in-time training during a public health emergency. Although all health care workers were motivated to improve their clinical practice, different factors were influential across professions and locations. These factors should be considered in MOOC design to meet the needs of health care workers, particularly those in lower-resource settings where alternative avenues for training may be limited.

Indexed as

COVID-19Education, DistanceHealth PersonnelMotivationAdultEmergenciesFemaleHumansMalePandemicsPublic Healthcase studyclinicianclinicianscontinuing educationcoronavirusCOVID-19COVID-19 trainingcrisescrisisdescriptive analysesdescriptive analysisdeveloping countriesdeveloping countrydeveloping nationdeveloping nationseducationemergencyhealth care educationhealth care workerhealth care workershumanitarian emergency responseinfectious disease outbreak responseLICLMIClower-middle incomelower-middle–income countrylow-incomelow-income countrymassive open online coursemedicmedical educationMOOCmotivationmotivationsnursenursesonline courseonline coursesonline learningoutbreakpandemicpractitionerpractitionersprofessional developmentpublic healthSARS-CoV-2surveysurveystraining

Identifiers

PMID38904474
PMCPMC11199926

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.