Evidence map›Paper›PMID 39048085›Full record

ArticleApplied clinical informatics2024

Contributors to Electronic Health Record-Integrated Secure Messaging Use: A Study of Over 33,000 Health Care Professionals.

Laura R Baratta, Daphne Lew, Thomas Kannampallil, Sunny S Lou

Abstract read
In one paragraph

Article in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Laura R BarattaDivision of Biology and Biomedical Sciences, Washington University School of Medicine, St Louis, Missouri, United States.
Daphne LewInstitute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St Louis, Missouri, United States.
Thomas KannampallilDivision of Biology and Biomedical Sciences, Washington University School of Medicine, St Louis, Missouri, United States.
Sunny S LouInstitute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St Louis, Missouri, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesElectronic health record (EHR)-integrated secure messaging is extensively used for communication between clinicians. We investigated the factors contributing to secure messaging use in a large health care system.

methodsThis was a cross-sectional study that included 14 hospitals and 263 outpatient clinic locations. Data on EHR-integrated secure messaging use over a 1-month period (February 1, 2023, through February 28, 2023) were collected. A multilevel mixed effects model was used to assess the contribution of clinical role, clinical unit (i.e., specific inpatient ward or outpatient clinic), hospital or clinic location (i.e., Hospital X or Outpatient Clinic Building Y), and inpatient versus outpatient setting toward secure messaging use.

resultsOf the 33,195 health care professionals who worked during the study period, 20,576 (62%) were secure messaging users. In total, 25.3% of the variability in messaging use was attributable to the clinical unit and 30.5% was attributable to the hospital or clinic location. Compared with nurses, advanced practice providers, pharmacists, and physicians were more likely to use secure messaging, whereas medical assistants, social workers, and therapists were less likely (

conclusionSecure messaging was widely used; however, there was substantial variation by clinical role, clinical unit, and hospital or clinic location. Our results suggest that interventions and policies for managing secure messaging behaviors are likely to be most effective if they are not only set at the organizational level but also communicated and tailored toward individual clinical units and clinician workflows.

Indexed as

Electronic Health RecordsHealth PersonnelComputer SecurityCross-Sectional StudiesHumans

Identifiers

PMID39048085
PMCPMC11268985

What OpenQuestion holds

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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.