Evidence map›Paper›PMID 39630450›Full record

ArticleJAMA network open2024

Secure Messaging Use and Wrong-Patient Ordering Errors Among Inpatient Clinicians.

Sunny S Lou, Daphne Lew, Linlin Xia, Laura Baratta, Elise Eiden, Thomas Kannampallil

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. 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

6 authors.

Sunny S LouDepartment of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri.
Daphne LewInstitute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, Missouri.
Linlin XiaDivision of Computational and Data Sciences, Washington University in St Louis, St Louis, Missouri.
Laura BarattaInstitute for Informatics, Data Science and Biostatistics, Washington University School of Medicine in St Louis, St Louis, Missouri.
Elise EidenDepartment of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri.
Thomas KannampallilDepartment of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri.

Funding

Intelligent Clinical Decision Support for Perioperative Blood ManagementK23HL166880 · NHLBI · WASHINGTON UNIVERSITY · PI Sunny S. Lou · 2024 to 2026
$521k
NHLBI NIH HHS K23 HL166880
6 · The paper itself

Abstract

Importance: Use of secure messaging for clinician-to-clinician communication has increased exponentially over the past decade, but its association with clinician work is poorly understood. Objective: To investigate the association between secure messaging use and wrong-patient ordering errors. Design, Setting, and Participants: This cohort study included inpatient attending physicians, trainee physicians, and advanced practice practitioners (APPs) from 14 academic and community hospitals. Secure messaging volume was assessed over a 3-month period (February 1 to April 30, 2023). Exposure: Secure messaging volume per clinician-day, measured as the count of secure messages sent and received by a clinician on a given clinician-day. Main Outcomes and Measures: Retract-and-reorder events were used to identify wrong-patient ordering errors, and the presence of any retract-and-reorder event on a clinician-day was the primary outcome. Multilevel logistic regression was used to examine the association between secure messaging volume and wrong-patient ordering errors after adjusting for clinician age, sex, patient load, order volume, and clinical service. Results: A total of 3239 clinicians (median [IQR] age, 37 [32-46] years; 1791 female [55.3%]; 1680 attending physicians [51.2%], 560 trainee physicians [17.3%], and 999 APPs [30.8%]) with 75 546 clinician-days were included. Median secure messaging volume was 16 (IQR, 0-61) messages per day. Retract-and-reorder events were identified on 295 clinician-days (0.4%). Clinicians with secure messaging volume at the 75th percentile had a 10% higher odds of wrong-patient ordering errors compared with those at the 25th percentile (odds ratio [OR], 1.10; 95% CI, 1.01-1.20). After stratifying by clinician role, the association between secure messaging and wrong-patient ordering errors was observed only for attending physicians (OR, 1.20; 95% CI, 1.02-1.42) and APPs (OR, 1.18; 95% CI, 1.00-1.40). Conclusions and Relevance: In this cohort study of inpatient clinicians, higher daily secure messaging was associated with increased odds of wrong-patient ordering errors. Although messaging may increase cognitive load and risk for wrong-patient ordering errors, these results do not provide conclusive evidence regarding the direct impact of secure messaging on errors, as increased messaging may also reflect greater care coordination, increased patient complexity, or communication of the presence of a wrong-patient ordering error.

Indexed as

Medical ErrorsAdultCohort StudiesFemaleHumansInpatientsMaleMiddle Aged

Identifiers

PMID39630450
PMCPMC11618466

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.