Evidence map›Paper›PMID 37163346›Full record

ArticleJMIR medical education2023

Examining Pediatric Resident Electronic Health Records Use During Prerounding: Mixed Methods Observational Study.

Jawad Alami, Clare Hammonds, Erin Hensien, Jenan Khraibani, Stephen Borowitz, Martha Hellems, Sara Riggs

Abstract read
In one paragraph

Article in JMIR medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jawad AlamiDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-1651-3500
Clare HammondsDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0009-0002-6107-8445
Erin HensienDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0009-0000-0599-0961
Jenan KhraibaniDepartment of Computer and Communication Engineering, American University of Beirut, Beirut, Lebanon.ORCID https://orcid.org/0009-0003-0806-6549
Stephen BorowitzDepartment of Pediatrics, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0001-9639-4830
Martha HellemsDepartment of Pediatrics, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-2396-0018
Sara RiggsDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States.ORCID https://orcid.org/0000-0002-0112-9469

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic health records (EHRs) play a substantial role in modern health care, especially during prerounding, when residents gather patient information to inform daily care decisions of the care team. The effective use of the EHR system is crucial for efficient and frustration-free prerounding. Ideally, the system should be designed to support efficient user interactions by presenting data effectively and providing easy navigation between different pages. Additionally, training on the system should aim to make user interactions more efficient by familiarizing the users with best practices that minimize interaction time while using the full potential of the system's capabilities. However, formal training on EHR systems often falls short of providing residents with all the necessary EHR-related skills, leading to the adoption of inefficient practices and the underuse of the system's full range of capabilities.

objectiveThis study aims to examine the efficiency of EHR use during prerounding among pediatric residents, assess the effect of experience level on EHR use, and identify areas for improvement in EHR design and training.

methodsA mixed methods approach was used, involving a self-reported survey and video analysis of prerounding practices of the entire population of pediatric residents from a large teaching hospital in the South Atlantic Region. The residents were stratified by experience level by postgraduate year. Data were collected on the number of pages accessed, duration of prerounding, task completion rates, and effective use of data sources. Observational and qualitative data complemented the quantitative analysis. Our study followed the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) reporting guidelines, ensuring completeness and transparency of reporting.

resultsOf the 30 pediatric residents, 20 were included in the analyses; of these, 16 (80%) missed at least 1 step during prerounding. Although more experienced residents on average omitted fewer steps, 4 (57%) of the 7 most experienced residents still omitted at least 1 step. On average, residents took 6.5 minutes to round each patient and accessed 21 pages within the EHR during prerounding; no statistically significant differences were observed between experience levels for prerounding times (P=.48) or number of pages accessed (P=.92). The use of aggregated data pages within the EHR system neither seem to improve prerounding times nor decrease the number of pages accessed.

conclusionsThe findings suggest that EHR design should be improved to better support user needs, and hospitals should adopt more effective training programs to familiarize residents with the system's capabilities. We recommend implementing prerounding checklists and providing ongoing EHR training programs for health care practitioners. Despite the generalizability of limitations of our study in terms of sample size and specialization, it offers valuable insights for future research to investigate the impact of EHR use on patient outcomes and satisfaction, as well as identify factors that contribute to efficient and effective EHR usage.

Indexed as

eHealthEHRelectronic health recordpediatricpreroundingtrainingusability

Identifiers

PMID37163346
PMCPMC10209786

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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.