Evidence map›Paper›PMID 38058299›Full record

ArticleMedEdPublish (2016)2023

Twelve Tips for using Learning Curves in Health Professions Education Research.

Neva Howard, Roger Edwards, Kathy Boutis, Seth Alexander, Martin Pusic

Abstract read
In one paragraph

Article in MedEdPublish (2016), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Characterizing the Effects of Adding Virtual and Augmented Reality in Robot-Assisted Training.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Trial
  3. Article
  4. 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

5 authors.

Neva HowardPediatrics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA.ORCID https://orcid.org/0000-0003-1104-8555
Roger EdwardsHealth Professions, MGH Institute of Health Professions, Boston, MA, 02129, USA.
Kathy BoutisPediatrics, University of Toronto, Toronto, Ontario, M5G 1X8, Canada.
Seth AlexanderSchool of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, USA.ORCID https://orcid.org/0000-0002-2706-2696
Martin PusicPediatrics, Harvard University, Boston, Massachusetts, 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Learning curves can be used to design, implement, and evaluate educational interventions. Attention to key aspects of the method can improve the fidelity of this representation of learning as well as its suitability for education and research purposes. This paper addresses when to use a learning curve, which graphical properties to consider, how to use learning curves quantitatively, and how to use observed thresholds to communicate meaning. We also address the associated ethics and policy considerations. We conclude with a best practices checklist for both educators and researchers seeking to use learning curves in their work.

Indexed as

Curricular DesignCurricular EvaluationData ModelingLearning CurvesMedical EducationSkill Development

Identifiers

PMID38058299
PMCPMC10696298

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.