Evidence map›Paper›PMID 29481625›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Interaction patterns of trauma providers are associated with length of stay.

You Chen, Mayur B Patel, Candace D McNaughton, Bradley A Malin

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
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  3. Article
  4. Review
  5. Familiarity Among Nurses: The Key to ICU Patient Outcomes?American journal of respiratory and critical care medicine · 2023
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  6. Assessing Intrahospital Care Transition Structures Before and During the COVID-19 Pandemic: Network Analysis Study.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
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  7. Team is brain: leveraging EHR audit log data for new insights into acute care processes.Journal of the American Medical Informatics Association : JAMIA · 2022
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  8. Article
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  10. Perioperative Care Structures and Non-Routine Events: Network Analysis.Studies in health technology and informatics · 2022
    Article
  11. Inferring EHR Utilization Workflows through Audit Logs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022
    Article
  12. Article
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  14. Article
  15. Article
  16. Article
  17. Article
  18. Provider Networks in the Neonatal Intensive Care Unit Associate with Length of Stay.... IEEE Conference on Collaboration and Internet Computing. IEEE Conference on Collaboration and Internet Computing · 2019
    Article
  19. Article
  20. 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

4 authors.

You ChenDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Mayur B PatelDepartment of Surgery, Division of Trauma, Surgical Critical Care, and Emergency General Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Candace D McNaughtonDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Bradley A MalinDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

From GWAS to PheWAS: Scanning the EMR Phenome for Gene-disease AssociationsR01LM010685 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BASTARACHE, LISA · 2011 to 2022
$6.3M
The INSIGHT-ICU Study: Illuminating Neuropsychological dysfunction and Systemic Inflammatory mechanisms Gleaned after Hospitalization in Trauma-ICU StudyR01GM120484 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PATEL, MAYUR B · 2017 to 2021
$3.0M
Learning Patterns of Collaboration to Optimize the Management of Care ProvidersR00LM011933 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHEN, YOU · 2016 to 2018
$738k
NIGMS NIH HHS R01 GM120484NLM NIH HHS R00 LM011933NLM NIH HHS R01 LM010685
6 · The paper itself

Abstract

Background: Trauma-related hospitalizations drive a high percentage of health care expenditure and inpatient resource consumption, which is directly related to length of stay (LOS). Robust and reliable interactions among health care employees can reduce LOS. However, there is little known about whether certain patterns of interactions exist and how they relate to LOS and its variability. The objective of this study is to learn interaction patterns and quantify the relationship to LOS within a mature trauma system and long-standing electronic medical record (EMR). Methods: We adapted a spectral co-clustering methodology to infer the interaction patterns of health care employees based on the EMR of 5588 hospitalized adult trauma survivors. The relationship between interaction patterns and LOS was assessed via a negative binomial regression model. We further assessed the influence of potential confounders by age, number of health care encounters to date, number of access action types care providers committed to patient EMRs, month of admission, phenome-wide association study codes, procedure codes, and insurance status. Results: Three types of interaction patterns were discovered. The first pattern exhibited the most collaboration between employees and was associated with the shortest LOS. Compared to this pattern, LOS for the second and third patterns was 0.61 days (P = 0.014) and 0.43 days (P = 0.037) longer, respectively. Although the 3 interaction patterns dealt with different numbers of patients in each admission month, our results suggest that care was provided for similar patients. Discussion: The results of this study indicate there is an association between LOS and the extent to which health care employees interact in the care of an injured patient. The findings further suggest that there is merit in ascertaining the content of these interactions and the factors that induce these differences in interaction patterns within a trauma system.

Indexed as

HospitalizationInterprofessional RelationsLength of StayPersonnel, HospitalTraumatologyAdultElectronic Health RecordsHumansLinear ModelsMedical Records Systems, ComputerizedMiddle AgedModels, StatisticalTrauma Centers

Identifiers

PMID29481625
PMCPMC6016682

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.