Evidence map›Paper›PMID 27731842›Full record

ArticleJMIR medical education2015

Information-Seeking Behaviors of Medical Students: A Cross-Sectional Web-Based Survey.

Aoife Marie O'Carroll, Erin Patricia Westby, Joseph Dooley, Kevin E Gordon

Abstract read
In one paragraph

Article in JMIR medical education, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  15. Bioinformatics for medical students: a 5-year experience using OMIM® in medical student education.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
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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

4 authors.

Aoife Marie O'CarrollDalhousie University, Halifax, NS, Canada. aoife.ocarroll@dal.ca.ORCID http://orcid.org/0000-0003-4867-7494

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical students face an information-rich environment in which retrieval and appraisal strategies are increasingly important.

objectiveTo describe medical students' current pattern of health information resource use and characterize their experience of instruction on information search and appraisal.

methodsWe conducted a cross-sectional web-based survey of students registered in the four-year MD Program at Dalhousie University (Halifax, Nova Scotia, and Saint John, New Brunswick, sites), Canada. We collected self-reported data on information-seeking behavior, instruction, and evaluation of resources in the context of their medical education. Data were analyzed using descriptive statistics.

resultsSurveys were returned by 213 of 462 eligible students (46.1%). Most respondents (165/204, 80.9%) recalled receiving formal instruction regarding information searches, but this seldom included nontraditional tools such as Google (23/107, 11.1%), Wikipedia, or social media. In their daily practice, however, they reported heavy use of these tools, as well as EBM summaries. Accessibility, understandability, and overall usefulness were common features of highly used resources. Students identified challenges managing information and/or resource overload and source accessibility.

conclusionsMedical students receive instruction primarily on searching and assessing primary medical literature. In their daily practice, however, they rely heavily on nontraditional tools as well as EBM summaries. Attention to appropriate use and appraisal of nontraditional sources might enhance the current EBM curriculum.

Indexed as

information retrievalinformation-seeking behaviorInternetmedical educationmedical students

Identifiers

PMID27731842
PMCPMC5041342

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LicenceCC BY
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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.