Evidence map›Paper›PMID 25317266›Full record

ArticleJournal of community hospital internal medicine perspectives2014

Real-time use of the iPad by third-year medical students for clinical decision support and learning: a mixed methods study.

Michelle A Nuss, Janette R Hill, Ronald M Cervero, Julie K Gaines, Bruce F Middendorf

Abstract read
In one paragraph

Article in Journal of community hospital internal medicine perspectives, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Barriers and facilitators to clinical information seeking: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. GeriKit: A novel app for comprehensive geriatric assessment.Gerontology & geriatrics education · 2023
    Article
  7. Article
  8. Mobile app use by medical students and residents in the clinical setting: an exploratory study.The journal of the Canadian Health Libraries Association · 2022
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  12. Observational
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  20. Editor's note.Journal of community hospital internal medicine perspectives · 2014
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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

5 authors.

Michelle A NussGRU/UGA Medical Partnership, Athens, GA, USA.
Janette R HillCollege of Education, University of Georgia, Athens, GA, USA.
Ronald M CerveroCollege of Education, University of Georgia, Athens, GA, USA.
Julie K GainesGRU/UGA Medical Partnership, Athens, GA, USA.
Bruce F MiddendorfSt Mary's Hospital, Athens, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite widespread use of mobile technology in medical education, medical students' use of mobile technology for clinical decision support and learning is not well understood. Three key questions were explored in this extensive mixed methods study: 1) how medical students used mobile technology in the care of patients, 2) the mobile applications (apps) used and 3) how expertise and time spent changed overtime.

methodsThis year-long (July 2012-June 2013) mixed methods study explored the use of the iPad, using four data collection instruments: 1) beginning and end-of-year questionnaires, 2) iPad usage logs, 3) weekly rounding observations, and 4) weekly medical student interviews. Descriptive statistics were generated for the questionnaires and apps reported in the usage logs. The iPad usage logs, observation logs, and weekly interviews were analyzed via inductive thematic analysis.

resultsStudents predominantly used mobile technology to obtain real-time patient data via the electronic health record (EHR), to access medical knowledge resources for learning, and to inform patient care. The top four apps used were Epocrates(®), PDF Expert(®), VisualDx(®), and Micromedex(®). The majority of students indicated that their use (71%) and expertise (75%) using mobile technology grew overtime.

conclusionsThis mixed methods study provides substantial evidence that medical students used mobile technology for clinical decision support and learning. Integrating its use into the medical student's daily workflow was essential for achieving these outcomes. Developing expertise in using mobile technology and various apps was critical for effective and efficient support of real-time clinical decisions.

Indexed as

clerkshipcommunity hospitalinternal medicinemixed methods studymobile technologytablet computer

Identifiers

PMID25317266
PMCPMC4185144

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.