Evidence map›Paper›PMID 34956708›Full record

ArticleMedical science educator2021

Enhanced Learning and Retention of Medical Knowledge Using the Mobile Flash card Application Anki.

Matthew Lu, John H Farhat, Gary L Beck Dallaghan

Abstract read
In one paragraph

Article in Medical science educator, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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

3 authors.

Matthew LuUniversity of North Carolina School of Medicine, Chapel Hill, NC USA.ORCID 0000-0002-7965-209X
John H FarhatUniversity of North Carolina School of Medicine, Chapel Hill, NC USA.ORCID 0000-0002-4382-3694
Gary L Beck DallaghanUniversity of North Carolina School of Medicine, 108 Taylor Hall, CB 7321, Chapel Hill, NC 27599 USA.ORCID 0000-0002-8539-6969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAs medical schools condense the basic science phase of undergraduate medical education, it has become increasingly important to identify methods and tools that facilitate learning, mastery, and application of medical knowledge. One increasingly popular tool that promotes engagement with content is Anki, a web-based flash card system. Using Anki, medical students can access pre-made flash cards specifically tailored to prepare students for the United States Medical Licensing Exam (USMLE) Step 1 exam. The objective of this study was to identify Anki use and its association to USMLE Step 1 performance.

methodsIn March 2020, medical students in years 2, 3, and 4 who had completed USMLE Step 1 were administered a survey to measure Anki usage. The survey was locally developed and was reviewed by survey experts on campus. Survey responses were paired with USMLE Step 1 results for analyses. Descriptive and inferential statistics were used for analysis.

resultsAnki usage was associated with higher USMLE Step 1 scores. Additionally, amongst those who used Anki, those with more consistent use had higher USMLE Step 1 scores and higher perceived levels of knowledge retention.

conclusionsThis research suggests that Anki is an effective educational tool that should be recommended to medical students alongside other evidenced-based study tools, such as the popular question bank USMLE World. Future research should attempt to identify a relationship between Anki usage and future clinical performance to demonstrate the implications that Anki has on clinical skills. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40670-021-01386-9.

Indexed as

AnkiFlash cardsMedical studentsSpaced retrievalUSMLE Step 1

Identifiers

PMID34956708
PMCPMC8651966

What OpenQuestion holds

Textmetadata
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Registered trials

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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.