Literature DB >> 23453105

Prehospital system delay in ST-segment elevation myocardial infarction care: a novel linkage of emergency medicine services and in hospital registry data.

Emil L Fosbøl1, Christopher B Granger, Eric D Peterson, Li Lin, Barbara L Lytle, Frances S Shofer, Chad Lohmeier, Greg D Mears, J Lee Garvey, Claire C Corbett, James G Jollis, Seth W Glickman.   

Abstract

BACKGROUND: Emergency medical services (EMS) are critical in the treatment of ST-segment elevation myocardial infarction (STEMI). Prehospital system delays are an important target for improving timely STEMI care, yet few limited data are available.
METHODS: Using a deterministic approach, we merged EMS data from the North Carolina Pre-hospital Medical Information System (PreMIS) with data from the Reperfusion of Acute Myocardial Infarction in Carolina Emergency Departments-Emergency Response (RACE-ER) Project. Our sample included all patients with STEMI from June 2008 to October 2010 who arrived by EMS and who had primary percutaneous coronary intervention (PCI). Prehospital system delays were compared using both RACE-ER and PreMIS to examine agreement between the 2 data sources.
RESULTS: Overall, 8,680 patients with STEMI in RACE-ER arrived at a PCI hospital by EMS; 21 RACE-ER hospitals and 178 corresponding EMS agencies across the state were represented. Of these, 6,010 (69%) patients were successfully linked with PreMIS. Linked and notlinked patients were similar. Overall, 2,696 patients were treated with PCI only and were taken directly to a PCI-capable hospital by EMS; 1,750 were transferred from a non-PCI facility. For those being transported directly to a PCI center, 53% reached the 90-minute target guideline goal. For those transferred from a non-PCI facility, 24% reached the 120-minute target goal for primary PCI.
CONCLUSIONS: We successfully linked prehospital EMS data with in hospital clinical data. With this linked STEMI cohort, less than half of patients reach goals set by guidelines. Such a data source could be used for future research and quality improvement interventions.
Copyright © 2013 Mosby, Inc. All rights reserved.

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Year:  2013        PMID: 23453105     DOI: 10.1016/j.ahj.2012.11.003

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  14 in total

1. 

Authors:  Eric I Benchimol; Liam Smeeth; Astrid Guttmann; Katie Harron; David Moher; Irene Petersen; Henrik T Sørensen; Jean-Marie Januel; Erik von Elm; Sinéad M Langan
Journal:  CMAJ       Date:  2019-02-25       Impact factor: 8.262

2.  Association Between Hospital Practices and Door-in-door-out Time in ST-segment Elevation Myocardial Infarction.

Authors:  Bryn E Mumma; James Eggert; Simon A Mahler; Michael C Kontos; Deborah B Diercks
Journal:  Crit Pathw Cardiol       Date:  2016-12

3.  Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department.

Authors:  Colby Redfield; Abdulhakim Tlimat; Yoni Halpern; David W Schoenfeld; Edward Ullman; David A Sontag; Larry A Nathanson; Steven Horng
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

4.  Minimizing transfer time to an ST segment elevation myocardial infarction-receiving center: a modified Delphi consensus.

Authors:  Bryn E Mumma; Conrad Williamson; Rahul K Khare; Kevin E Mackey; Deborah B Diercks
Journal:  Crit Pathw Cardiol       Date:  2014-03

5.  Probabilistic Linkage of Prehospital and Outcomes Data in Out-of-hospital Cardiac Arrest.

Authors:  Bryn E Mumma; Deborah B Diercks; Beate Danielsen; James F Holmes
Journal:  Prehosp Emerg Care       Date:  2014-12-12       Impact factor: 3.077

6.  Comparing routine administrative data with registry data for assessing quality of hospital care in patients with myocardial infarction using deterministic record linkage.

Authors:  Birga Maier; Katrin Wagner; Steffen Behrens; Leonhard Bruch; Reinhard Busse; Dagmar Schmidt; Helmut Schühlen; Roland Thieme; Heinz Theres
Journal:  BMC Health Serv Res       Date:  2016-10-21       Impact factor: 2.655

7.  [The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement].

Authors:  Eric I Benchimol; Liam Smeeth; Astrid Guttmann; Katie Harron; Lars G Hemkens; David Moher; Irene Petersen; Henrik T Sørensen; Erik von Elm; Sinéad M Langan
Journal:  Z Evid Fortbild Qual Gesundhwes       Date:  2016-09-28

8.  Warning system improve the clinical outcomes in transfer patients with ST-segment elevation myocardial infarction.

Authors:  Hsiu-Yu Fang; Wei-Chieh Lee
Journal:  Medicine (Baltimore)       Date:  2021-07-02       Impact factor: 1.817

9.  The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement.

Authors:  Eric I Benchimol; Liam Smeeth; Astrid Guttmann; Katie Harron; David Moher; Irene Petersen; Henrik T Sørensen; Erik von Elm; Sinéad M Langan
Journal:  PLoS Med       Date:  2015-10-06       Impact factor: 11.069

10.  Influence of heart failure on the prognosis of patients with acute myocardial infarction in southwestern China.

Authors:  Fuxue Deng; Yong Xia; Michael Fu; Yunfeng Hu; Fang Jia; Yeffry Rahardjo; Yingyi Duan; Linjing He; Jing Chang
Journal:  Exp Ther Med       Date:  2016-03-31       Impact factor: 2.447

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