Evidence map›Paper›PMID 28721120›Full record

ArticleAdvances in medical education and practice2017

Effective learning environments - the process of creating and maintaining an online continuing education tool.

Sharon Davies, Gianni Roberto Lorello, Kristi Downey, Zeev Friedman

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Sharon DaviesDepartment of Anesthesia, Sinai Health System, University of Toronto, Toronto, ON, Canada.
Gianni Roberto LorelloDepartment of Anesthesia, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Kristi DowneyDepartment of Anesthesia, Sinai Health System, University of Toronto, Toronto, ON, Canada.
Zeev FriedmanDepartment of Anesthesia, Sinai Health System, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuing medical education (CME) is an indispensable part of maintaining physicians' competency. Since attending conferences requires clinical absenteeism and is not universally available, online learning has become popular. The purpose of this study is to conduct a retrospective analysis examining the creation process of an anesthesia website for adherence to the published guidelines and, in turn, provide an illustration of developing accredited online CME. Using Kern's guide to curriculum development, our website analysis confirmed each of the six steps was met. As well, the technical design features are consistent with the published literature on efficient online educational courses. Analysis of the database from 3937 modules and 1628 site evaluations reveals the site is being used extensively and is effective as demonstrated by the participants' examination results, content evaluations and reports of improvements in patient management. Utilizing technology to enable distant learning has become a priority for many educators. When creating accredited online CME programs, course developers should understand the educational principles and technical design characteristics that foster effective online programs. This study provides an illustration of incorporating these features. It also demonstrates significant participation in online CME by anesthesiologists and highlights the need for more accredited programs.

Indexed as

anesthesiacontinuing medical educationonline

Identifiers

PMID28721120
PMCPMC5501446

What OpenQuestion holds

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LicenceCC BY-NC
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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.