A Quantitative Analysis of Classes Exploring Factors That Make Participants More Like to Claim CE Credit

The Network of the National Library of Medicine (NNLM) offers a variety of classes to support professional development and continuing education of health information professionals. Most classes offer MLA CE credits, which provide proof of attendance, count toward AHIP, and may be used to earn MLA specializations, such as the Consumer Health Information Specialization (CHIS) or the Data Science Specialization (DSS). However, only a fraction of class registrants claim CE. Our objective is to determine which class factors most impact the percentage of registrants that claim MLA CE after the class: specialization type,class format (on-demand or scheduled), and class platform (webinar or Moodle). This resource is supported by the National Library of Medicine (NLM), National Institutes of Health (NIH) under cooperative agreement number UG4LM013732 with the University of Utah’s Spencer S. Eccles Health Sciences Library. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. If you have any questions, please reach out to [email protected].

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17666510
Primary Topic
Health Sciences Research and Education
Type
article
Field-Weighted Citation Impact
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article

A Quantitative Analysis of Classes Exploring Factors That Make Participants More Like to Claim CE Credit

Zenodo (CERN European Organization for Nuclear Research)
Health Sciences Research and Education
article

A Quantitative Analysis of Classes Exploring Factors That Make Participants More Like to Claim CE Credit

article en

Abstract

The Network of the National Library of Medicine (NNLM) offers a variety of classes to support professional development and continuing education of health information professionals. Most classes offer MLA CE credits, which provide proof of attendance, count toward AHIP, and may be used to earn MLA specializations, such as the Consumer Health Information Specialization (CHIS) or the Data Science Specialization (DSS). However, only a fraction of class registrants claim CE. Our objective is to determine which class factors most impact the percentage of registrants that claim MLA CE after the class: specialization type,class format (on-demand or scheduled), and class platform (webinar or Moodle). This resource is supported by the National Library of Medicine (NLM), National Institutes of Health (NIH) under cooperative agreement number UG4LM013732 with the University of Utah’s Spencer S. Eccles Health Sciences Library. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. If you have any questions, please reach out to [email protected].

Zenodo (CERN European Organization for Nuclear Research)
University of Utah (US)
Openalex Percentile: Top 28%
Health Sciences Research and Education
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