Evidence map›Paper›PMID 26473566›Full record

ArticleFamily medicine2015

Exploring Residents' Interactions With Electronic Health Records in Primary Care Encounters.

Onur Asan, Kenneth Kushner, Enid Montague

Abstract read
In one paragraph

Article in Family medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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

7 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.

Onur AsanCenter for Patient Care and Outcomes Research, Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin.
Kenneth Kushner
Enid Montague

Funding

INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Institutional Clinical and Translational Science Award (UW-Madison)KL2RR025012 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$11.1M
NCRR NIH HHS KL2 RR025012NCRR NIH HHS UL1 RR025011
6 · The paper itself

Abstract

objectivesOur objective was to explore and compare residents' interaction with electronic health records during primary care encounters and whether those behaviors differ by residency year level.

methodsA field study was conducted in which 38 patient visits with 12 family medicine resident physicians were observed and video recorded in two primary care clinics under the umbrella of a university-based department of family medicine. Videos were then coded for gaze behaviors in which patients' and physicians' gazes at electronic health records and at each other were coded using a pre-established objective coding scheme.

resultsThird-year residents spent the greatest percentage of visit time looking at EHR screens when compared to first- and second-year residents. Third-year residents also spent significantly more time typing or inputting information into the records during the clinical visit when compared to first- and second-year residents.

conclusionsThis study illustrated that patterns for using the EHR and interacting with patients may change over time for residents. These changes may be due to increased EHR proficiency or increased workload that incentivizes using the EHR to retrieve information and to complete charting in front of the patient.

Indexed as

Internship and ResidencyPhysician-Patient RelationsAdultAmbulatory Care FacilitiesCommunicationEducational StatusElectronic Health RecordsFamily PracticeFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'Primary Health CareRacial GroupsTime Factors

Identifiers

PMID26473566
PMCPMC6716379

What OpenQuestion holds

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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.