Evidence map›Paper›PMID 37552437›Full record

ReviewCognitive research: principles and implications2023

Cognitive perspectives on maintaining physicians' medical expertise: IV. Best practices and open questions in using testing to enhance learning and retention.

Scott H Fraundorf, Zachary A Caddick, Timothy J Nokes-Malach, Benjamin M Rottman

Abstract readReview
In one paragraph

Review in Cognitive research: principles and implications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
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.

Scott H FraundorfLearning Research and Development Center, University of Pittsburgh, 3420 Forbes Ave., Pittsburgh, PA, 15260, USA. scottfraundorf@gmail.com.ORCID http://orcid.org/0000-0002-0738-476X
Zachary A CaddickLearning Research and Development Center, University of Pittsburgh, 3420 Forbes Ave., Pittsburgh, PA, 15260, USA.
Timothy J Nokes-MalachLearning Research and Development Center, University of Pittsburgh, 3420 Forbes Ave., Pittsburgh, PA, 15260, USA.
Benjamin M RottmanLearning Research and Development Center, University of Pittsburgh, 3420 Forbes Ave., Pittsburgh, PA, 15260, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although tests and assessments-such as those used to maintain a physician's Board certification-are often viewed merely as tools for decision-making about one's performance level, strong evidence now indicates that the experience of being tested is a powerful learning experience in its own right: The act of retrieving targeted information from memory strengthens the ability to use it again in the future, known as the testing effect. We review meta-analytic evidence for the learning benefits of testing, including in the domain of medicine, and discuss theoretical accounts of its mechanism(s). We also review key moderators-including the timing, frequency, order, and format of testing and the content of feedback-and what they indicate about how to most effectively use testing for learning. We also identify open questions for the optimal use of testing, such as the timing of feedback and the sequencing of complex knowledge domains. Lastly, we consider how to facilitate adoption of this powerful study strategy by physicians and other learners.

Indexed as

LearningPhysiciansCertificationCognitionFeedbackHumansFeedbackInterleavingMedical expertiseTesting effect

Identifiers

PMID37552437
PMCPMC10409703

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.