Evidence map›Paper›PMID 31931781›Full record

ArticleBMC public health2020

Evaluation of the secondary use of electronic health records to detect seasonal, holiday-related, and rare events related to traumatic injury and poisoning.

Timothy Bergquist, Vikas Pejaver, Noah Hammarlund, Sean D Mooney, Stephen J Mooney

Abstract readEvaluation Study
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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.

Timothy BergquistDepartment of Biomedical Informatics and Medical Education, University of Washington, Box 358047, Seattle, Washington, 98195-8047, USA. trberg@uw.edu.ORCID http://orcid.org/0000-0001-5614-8977
Vikas PejaverDepartment of Biomedical Informatics and Medical Education, University of Washington, Box 358047, Seattle, Washington, 98195-8047, USA.
Noah HammarlundDepartment of Biomedical Informatics and Medical Education, University of Washington, Box 358047, Seattle, Washington, 98195-8047, USA.
Sean D MooneyDepartment of Biomedical Informatics and Medical Education, University of Washington, Box 358047, Seattle, Washington, 98195-8047, USA.
Stephen J MooneyDepartment of Epidemiology, University of Washington, Seattle, WA, USA.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
The Automatic Context Measurement Tool: bringing environmental data to non-specialistsK99LM012868 · NLM · UNIVERSITY OF WASHINGTON · PI MOONEY, STEPHEN JOHN · 2018 to 2018
$127k
NCATS NIH HHS U24 TR002306NCATS NIH HHS U24TR002306NCATS NIH HHS UL1 TR002319NIH HHS K99LM012868NIH HHS RO1 LM007722NLM NIH HHS K99 LM012868NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

backgroundThe increasing adoption of electronic health record (EHR) systems enables automated, large scale, and meaningful analysis of regional population health. We explored how EHR systems could inform surveillance of trauma-related emergency department visits arising from seasonal, holiday-related, and rare environmental events.

methodsWe analyzed temporal variation in diagnosis codes over 24 years of trauma visit data at the three hospitals in the University of Washington Medicine system in Seattle, Washington, USA. We identified seasons and days in which specific codes and categories of codes were statistically enriched, meaning that a significantly greater than average proportion of trauma visits included a given diagnosis code during that time period.

resultsWe confirmed known seasonal patterns in emergency department visits for trauma. As expected, cold weather-related incidents (e.g. frostbite, snowboarding injury) were enriched in the winter, whereas fair weather-related incidents (e.g. bug bites, boating accidents, bicycle accidents) were enriched in the spring and summer. Our analysis of specific days of the year found that holidays were enriched for alcohol poisoning, assaults, and firework accidents. We also detected one time regional events such as the 2001 Nisqually earthquake and the 2006 Hanukkah Eve Windstorm.

conclusionsThough EHR systems were developed to prioritize operational rather than analytic priorities and have consequent limitations for surveillance, our EHR enrichment analysis nonetheless re-identified expected temporal population health patterns. EHRs are potentially a valuable source of information to inform public health policy, both in retrospective analysis and in a surveillance capacity.

Indexed as

Electronic Health RecordsEmergency Service, HospitalHolidaysHumansPoisoningPopulation SurveillanceSeasonsWashingtonWeatherWounds and InjuriesData scienceElectronic health recordsLearning healthcare systemPopulation health

Identifiers

PMID31931781
PMCPMC6958939

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.