Evidence map›Paper›PMID 26958305›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Variability in Electronic Health Record Usage and Perceptions among Specialty vs. Primary Care Physicians.

Travis K Redd, Julie W Doberne, Daniel Lattin, Thomas R Yackel, Carl O Eriksson, Vishnu Mohan, Jeffrey A Gold, Joan S Ash, Michael F Chiang

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 5% of its field
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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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  4. Review
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  6. Article
  7. Chart Completion Time of Attending Physicians While Using Medical Scribes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021
    Article
  8. Article
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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

9 authors at 2 institutions in 1 country.

Travis K ReddDepartment of Ophthalmology, Critical Care Medicine Oregon Health & Science University, Portland, OR; Department of Medicine, Legacy Medical Group, Portland, OR.
Julie W DoberneDepartment of Medical Informatics & Clinical Epidemiology, Critical Care Medicine Oregon Health & Science University, Portland, OR.
Daniel LattinDepartment of Ophthalmology, Critical Care Medicine Oregon Health & Science University, Portland, OR.
Thomas R YackelDepartment of Medical Informatics & Clinical Epidemiology, Critical Care Medicine Oregon Health & Science University, Portland, OR.
Carl O ErikssonDepartment of Pediatrics, Critical Care Medicine Oregon Health & Science University, Portland, OR.
Vishnu MohanDepartment of Medical Informatics & Clinical Epidemiology, Critical Care Medicine Oregon Health & Science University, Portland, OR.
Jeffrey A GoldDepartment of Medical Informatics & Clinical Epidemiology, Critical Care Medicine Oregon Health & Science University, Portland, OR; Pulmonary and Critical Care Medicine Oregon Health & Science University, Portland, OR.
Joan S AshDepartment of Medical Informatics & Clinical Epidemiology, Critical Care Medicine Oregon Health & Science University, Portland, OR.
Michael F ChiangDepartment of Ophthalmology, Critical Care Medicine Oregon Health & Science University, Portland, OR; Department of Medical Informatics & Clinical Epidemiology, Critical Care Medicine Oregon Health & Science University, Portland, OR.
Oregon Health & Science University · USLegacy Health · US

Funding

OREGON CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024140 · NCRR · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2011
$61.1M
TRAINING PROGRAM IN HEALTH INFORMATICST15LM007088 · NLM · OREGON HEALTH & SCIENCE UNIVERSITY · PI WILLIAM R HERSH, Vishnu Mohan · 1992 to 2026
$23.4M
Oregon Patient Centered Outcomes Research K12 ProgramK12HS022981 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI GUISE, JEANNE-MARIE · 2014 to 2018
$4.1M
AHRQ HHS K12 HS022981NCRR NIH HHS UL1 RR024140NLM NIH HHS T15 LM007088
6 · The paper itself

Abstract

Despite federal incentives for adoption of electronic health records (EHRs), surveys have shown that EHR use is less common among specialty physicians than generalists. Concerns have been raised that current-generation EHR systems are inadequate to meet the unique information gathering needs of specialists. This study sought to identify whether information gathering needs and EHR usage patterns are different between specialists and generalists, and if so, to characterize their precise nature. We found that specialists and generalists have significantly different perceptions of which elements of the EHR are most important and how well these systems are suited to displaying clinical information. Resolution of these disparities could have implications for clinical productivity and efficiency, patient and physician satisfaction, and the ability of clinical practices to achieve Meaningful Use incentives.

Indexed as

Electronic Health RecordsMeaningful UsePhysicians, Primary CareAttitude to ComputersHumansMedicinePhysicians

Identifiers

PMID26958305
PMCPMC4765603
OpenAlexW2414610077

What OpenQuestion holds

Textmetadata
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.