Evidence map›Paper›PMID 39259920›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study.

Hwayoung Cho, Oliver T Nguyen, Michael Weaver, Jennifer Pruitt, Cassie Marcelle, Ramzi G Salloum, Gail Keenan

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  7. Moral Distress and the Governance of Attention in Nursing: A Hanian Reading of the Structural Restriction of Moral Agency.Nursing philosophy : an international journal for healthcare professionals · 2026
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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.

Hwayoung ChoCollege of Nursing, Department of Family, Community and Health System Science, University of Florida, Gainesville, FL 32610, United States.ORCID 0000-0002-6023-5309
Oliver T NguyenCollege of Engineering, Department of Industrial and Systems Engineering, University of Wisconsin at Madison, WI 53706, United States.
Michael WeaverCollege of Nursing, Department of Family, Community and Health System Science, University of Florida, Gainesville, FL 32610, United States.
Jennifer PruittCollege of Nursing, Department of Family, Community and Health System Science, University of Florida, Gainesville, FL 32610, United States.
Cassie MarcelleUF Health Shands Hospital, Gainesville, FL 32608, United States.
Ramzi G SalloumCollege of Medicine, Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32610, United States.ORCID 0000-0002-8139-2418
Gail KeenanCollege of Nursing, Department of Family, Community and Health System Science, University of Florida, Gainesville, FL 32610, United States.

Funding

Tailored Clinical Decision Support Formats Designed to Improve Palliative Care for Cancer and Chronically Ill Patients: A Pre-Clinical TestR01NR018416 · NINR · UNIVERSITY OF FLORIDA · PI DUNN LOPEZ, KAREN, KEENAN, GAIL M · 2019 to 2021
$1.7M
National Institute of Nursing Research, National Institutes of HealthNIH HHSNIH HHS R01 NR018416-01NINR NIH HHS R01 NR018416University of Florida College of NursingUniversity of Florida College of Nursing Internal
6 · The paper itself

Abstract

objectivesExamine electronic health record (EHR) use and factors contributing to documentation burden in acute and critical care nurses. MATERIALS AND

methodsA mixed-methods design was used guided by Unified Theory of Acceptance and Use of Technology. Key EHR components included, Flowsheets, Medication Administration Records (MAR), Care Plan, Notes, and Navigators. We first identified 5 units with the highest documentation burden in 1 university hospital through EHR log file analyses. Four nurses per unit were recruited and engaged in interviews and surveys designed to examine their perceptions of ease of use and usefulness of the 5 EHR components. A combination of inductive/deductive coding was used for qualitative data analysis.

resultsNurses acknowledged the importance of documentation for patient care, yet perceived the required documentation as burdensome with levels varying across the 5 components. Factors contributing to burden included non-EHR issues (patient-to-nurse staffing ratios; patient acuity; suboptimal time management) and EHR usability issues related to design/features. Flowsheets, Care Plan, and Navigators were found to be below acceptable usability and contributed to more burden compared to MAR and Notes. The most troublesome EHR usability issues were data redundancy, poor workflow navigation, and cumbersome data entry based on unit type. DISCUSSION: Overall, we used quantitative and qualitative data to highlight challenges with current nursing documentation features in the EHR that contribute to documentation burden. Differences in perceived usability across the EHR documentation components were driven by multiple factors, such as non-alignment with workflows and amount of duplication of prior data entries. Nurses offered several recommendations for improving the EHR, including minimizing redundant or excessive data entry requirements, providing visual cues (eg, clear error messages, highlighting areas where missing or incorrect information are), and integrating decision support.

conclusionOur study generated evidence for nurse EHR use and specific documentation usability issues contributing to burden. Findings can inform the development of solutions for enhancing multi-component EHR usability that accommodates the unique workflow of nurses. Documentation strategies designed to improve nurse working conditions should include non-EHR factors as they also contribute to documentation burden.

Indexed as

Attitude of Health PersonnelDocumentationElectronic Health RecordsAdultAttitude to ComputersCritical Care NursingFemaleHumansMaleNurse CliniciansNursing Staff, Hospitaldocumentation burdendocumentationselectronic health recordevaluationnursesusabilityuser interface

Identifiers

PMID39259920
PMCPMC11491602

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.