Evidence map›Paper›PMID 36805706›Full record

ReviewJournal of the American Medical Informatics Association : JAMIA2023

Safety risks and workflow implications associated with nursing-related free-text communication orders.

Catherine Staes, Saldi Yusuf, Medalit Hambly, Saifon Phengphoo, Jia-Wen Guo

Abstract readReview
In one paragraph

Review in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Quantitative and qualitative methods advance the science of clinical workflow research.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
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

5 authors.

Catherine StaesCollege of Nursing, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0002-5423-3251
Saldi YusufDigital Transformation, Ministry of Health, Jakarta, Indonesia.
Medalit HamblyCare Transformation, University of Utah Health, Salt Lake City, Utah, USA.
Saifon PhengphooNursing Informatics, Medicomp Systems, Inc., Chantilly, Virginia, USA.
Jia-Wen GuoCollege of Nursing, University of Utah, Salt Lake City, Utah, USA.

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

objectiveWe evaluated nursing-related free-text communication orders to identify potential safety hazards and describe patterns and scope of care domains addressed that may reveal preventable workarounds and potential gaps in electronic health record (EHR) functionality. MATERIALS AND

methodsA retrospective analysis of free-text EHR-based communication orders sent to or by nurses providing inpatient care at a major academic health system. Using built-in EHR tools and selection criteria, 13 193 orders were extracted, including 1373 unique orders. Using the Clinical Care Classification system standardized framework, we classified content by care domain and identified unique requests within each order. We reviewed each order for error-prone textual features based on standard patient safety guidance. We describe the distribution of domains, co-occurrence when 2 domains were present, and common patterns.

resultsThe 1373 unique orders included a single request (65.3%), 2 requests related to 1 or 2 domains (19%), or 3 or more requests (15.7%). No orders included terms on the Joint Commission's "Do Not Use" list. However, 13.6% of unique orders, and 16.7% of those related to medications, included error-prone symbols or abbreviations according to Institute for Safe Medication Practices guidance. Order content spanned 20 different care components but physical regulation, fluid volume, nutritional, safety, and medication were most frequently identified as single or co-occurring topics. Patterns were heterogenous. DISCUSSION: Free-text communication orders reveal workarounds, responses to upstream workarounds, and design constraints that should be further investigated. Remediation strategies are needed to reduce safety hazards and workflow impediments.

conclusionsAnalysis of free-text communication orders revealed opportunities for improvement.

Indexed as

Electronic Health RecordsPatient SafetyHumansRetrospective StudiesWorkflowClinical Care Classification (CCC) systeminterdisciplinary communicationmedical order entry systemsnursing carepatient safetyworkaround

Identifiers

PMID36805706
PMCPMC10114042

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.