Evidence map›Paper›PMID 37931203›Full record

ArticleHealth affairs (Project Hope)2023

Minnesota Data Sharing May Be Model For Near-Real-Time Tracking Of Drug Overdose Hospital And ED Trends.

Riley D Shearer, Rebecca Rossom, Paul J Christine, Madison Hoover, Julie Bauch, Peter Bodurtha, Nayanjot Kaur Rai, Michelle Clegg, Bjorn C Westgard, Kirsten R Ehresmann and 2 more

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Riley D ShearerRiley D. Shearer, University of Minnesota, Minneapolis, Minnesota.
Rebecca RossomRebecca Rossom, HealthPartners Institute, Bloomington, Minnesota.
Paul J ChristinePaul J. Christine, Boston Medical Center, Boston, Massachusetts.
Madison HooverMadison Hoover, Hennepin Healthcare Research Institute, Minneapolis, Minnesota.
Julie BauchJulie Bauch, Hennepin County Public Health, Minneapolis, Minnesota.
Peter BodurthaPeter Bodurtha, Hennepin Healthcare Research Institute.
Nayanjot Kaur RaiNayanjot Kaur Rai, University of Minnesota.
Michelle CleggMichelle Clegg, Hennepin Healthcare Research Institute.
Bjorn C WestgardBjorn C. Westgard, HealthPartners Institute.
Kirsten R EhresmannKirsten R. Ehresmann, HealthPartners Institute.
Amy Leite BennettAmy Leite Bennett, Hennepin County Public Health.
Tyler N A WinkelmanTyler N. A. Winkelman (Tyler.Winkelman@hcmed.org), Hennepin Healthcare, Minneapolis, Minnesota, and Hennepin Healthcare Research Institute.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
NCATS NIH HHS UM1 TR004405
6 · The paper itself

Abstract

The drug overdose epidemic in the US necessitates detailed and timely data to inform public health responses. In this article we describe how an electronic health record (EHR) data-sharing collaboration across health systems in Minnesota that was developed in response to the COVID-19 pandemic was adapted to monitor trends in substance use-related hospital and emergency department (ED) visits. We found large increases in methamphetamine- and opioid-involved hospital and ED visits. Throughout the study period, Native American, Black, and multiple-race people experienced the highest rates of drug-involved hospital and ED visits. Monitoring drug-involved health care use through EHR data has the potential to help public health officials detect trends in near real time before mortality spikes and may also inform early intervention. The use of EHR data also allows for detailed monitoring of the impact of the drug overdose epidemic across racial and ethnic groups.

Indexed as

Drug OverdosePandemicsAnalgesics, OpioidEmergency Service, HospitalHospitalsHumansMinnesotaAnalgesics, Opioid

Identifiers

PMID37931203
PMCPMC13571109

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.