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Superusers of Self-Paced Online Learning on OpenWHO.
Utunen, Heini; Mattar, Lama; Piroux, Corentin; Ndiaye, Ngouille; Christen, Paula; Attias, Melissa.
  • Utunen H; World Health Organization, Switzerland.
  • Mattar L; World Health Organization, Switzerland.
  • Piroux C; World Health Organization, Switzerland.
  • Ndiaye N; World Health Organization, Switzerland.
  • Christen P; World Health Organization, Switzerland.
  • Attias M; World Health Organization, Switzerland.
Stud Health Technol Inform ; 295: 16-19, 2022 Jun 29.
Article in English | MEDLINE | ID: covidwho-1924019
ABSTRACT

INTRODUCTION:

OpenWHO provides open-access, online, free and real-time learning responses to health emergencies, which includes capacitating healthcare providers, first liners, medical students and even the general public. During the pandemic and to date, an additional 40 courses for COVID-19 response have led to a massive increase in the number of learners and a change in user's trends. This paper presents initial findings on enrollment trends, use and completion rates of health emergency courses offered on OpenWHO.

METHODS:

The enrolment data statistics were drawn from OpenWHO's built-in reporting system, which tracks learners' enrolments, completion rates, demographics and other key course-related data, This information was collected from the beginning of the OpenWHO launch in 2017 up until October 2021.

RESULTS:

Average course completion rate on OpenWHO including all courses and languages was equal to 45.9%. Nearly half (46.4%) of all OpenWHO learners have enrolled in at least 2 courses and 71 000 superusers have completed at least 10 courses on the platform.

CONCLUSION:

WHO's learning platform during the pandemic registered record high completion rates and repeat learners enrollment. This highlights the massive impact of the OpenWHO online learning platform for health emergencies and the tangible knowledge transfer and access to health literacy.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / Education, Distance / Education, Medical / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220648

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / Education, Distance / Education, Medical / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220648