Evidence map›Paper›PMID 30981897›Full record

Observational studyJournal of biomedical informatics2019

A mixed-methods evaluation framework for electronic health records usability studies.

Saif Khairat, Cameron Coleman, Thomas Newlin, Victoria Rand, Paige Ottmar, Thomas Bice, Shannon S Carson

Abstract readObservational Study
In one paragraph

Observational study in Journal of biomedical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Analysing EHR navigation patterns and digital workflows among physicians during ICU pre-rounds.Health information management : journal of the Health Information Management Association of Australia · 2021
    Observational
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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

7 authors.

Saif KhairatCarolina Health Informatics Program and School of Nursing, University of North Carolina at Chapel Hill, NC, USA. Electronic address: Saif@unc.edu.
Cameron ColemanCarolina Health Informatics Program, University of North Carolina at Chapel Hill, NC, USA.
Thomas NewlinCarolina Health Informatics Program, University of North Carolina at Chapel Hill, NC, USA.
Victoria RandCarolina Health Informatics Program, University of North Carolina at Chapel Hill, NC, USA.
Paige OttmarGilling's School of Global Public Health, University of North Carolina at Chapel Hill, NC, USA.
Thomas BicePulmonary Diseases and Critical Care Medicine, University of North Carolina at Chapel Hill, NC, USA.
Shannon S CarsonPulmonary Diseases and Critical Care Medicine, University of North Carolina at Chapel Hill, NC, USA.

Funding

An Interdisciplinary Program for Advanced Training in Health Data AnalyticsT15LM012500 · NLM · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOSTAFA, JAVED · 2017 to 2021
$2.9M
NLM NIH HHS T15 LM012500
6 · The paper itself

Abstract

backgroundPoor EHR design adds further challenges, especially in the areas of order entry and information visualization, with a net effect of increased rates of incidents, accidents, and mortality in ICU settings.

objectiveThe purpose of this study was to propose a novel, mixed-methods framework to understand EHR-related information overload by identifying and characterizing areas of suboptimal usability and clinician frustration within a vendor-based, provider-facing EHR interface.

methodsA mixed-methods, live observational usability study was conducted at a single, large, tertiary academic medical center in the Southeastern US utilizing a commercial, vendor based EHR. Physicians were asked to complete usability patient cases, provide responses to three surveys, and participant in a semi-structured interview.

resultsOf the 25 enrolled ICU physician participants, there were 5(20%) attending physicians, 9 (36%) fellows, and 11 (44%) residents; 52% of participants were females. On average, residents were the quickest in completing the tasks while attending physician took the longest to complete the same task. Poor usability, complex interface screens, and difficulty to navigate the EHR significantly correlated with high frustration levels. Significant association were found between the occurrence of error messages and temporal demand such that more error messages resulted in longer completion time (p = .03). DISCUSSION: Physicians remain frustrated with the EHR due to difficulty in finding patient information. EHR usability remains a critical challenge in healthcare, with implications for medical errors, patient safety, and clinician burnout. There is a need for scientific findings on current information needs and ways to improve EHR-related information overload.

Indexed as

Electronic Health RecordsUser-Computer InterfaceAcademic Medical CentersFemaleHumansMaleMedical Staff, HospitalSoutheastern United StatesElectronic Health RecordsEvaluationPhysiciansProvidersSatisfactionUsability

Identifiers

PMID30981897
PMCPMC6584062

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.