Literature DB >> 34723392

Potential bypassing of nearest emergency department by EMS transports.

Amresh D Hanchate1,2, Danyang Qi3, Jason P Stopyra4, Michael K Paasche-Orlow2, William E Baker5, James Feldman5.   

Abstract

OBJECTIVE: Guidelines recommend emergency medical services (EMS) patients to be transported to the nearest appropriate emergency department (ED). Our objective was to estimate the prevalence of EMS transport to an ED other than the nearest ED ("potential bypassing"). DATA SOURCES: Illinois Prehospital Patient Care Report Data of EMS transports (July 2019 to December 2019). DATA COLLECTION/EXTRACTION
METHODS: We identified all EMS ground transports with an advanced life-support (ALS) paramedic to an ED for patients aged 21 years and older. Using street address of incident location, we performed geocoding and driving route analyses and obtained estimated driving distance and time to the destination ED and alternative EDs. MAIN OUTCOME AND MEASURES: Our main outcomes were dichotomous indicators of potential bypassing of the nearest ED based on distance and time. As secondary outcomes we examined potential bypassing indicators based on excess driving distance and time. STUDY
DESIGN: We used Poisson regression models to obtain adjusted relative rates of potential bypassing indicators by acuity level, primary impression, patient demographics and geographic characteristics. PRINCIPAL
FINDINGS: Our study cohort of 361,051 EMS transports consisted of 5.8% critical, 37.2% emergent and 57.0% low acuity cases transported to 222 EDs. The observed rate of potential bypassing was approximately 34% of cases for each acuity level. Treating the cardiovascular primary impression code group as the reference case, we found small to no differences in potential bypassing rates across other primary impression code groups of all acuity levels, with the exception of critical acuity trauma cases for which potential bypassing rate was 64% higher (incidence rate ratio = 1.64, 95% confidence interval, 1.54-1.74). Compared to zip codes with one ED within a 5-mile vicinity, potential bypassing was higher in areas with no ED or multiple EDs within a 5-mile vicinity.
CONCLUSION: Approximately one-third of EMS transports potentially bypassed the nearest ED. EMS transport destination may be motivated by factors other than proximity.
© 2021 Health Research and Educational Trust.

Entities:  

Keywords:  ambulance; bypassing; destination; emergency department; emergency medical services; hospital

Mesh:

Year:  2021        PMID: 34723392      PMCID: PMC8928012          DOI: 10.1111/1475-6773.13903

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  22 in total

1.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  Ann Intern Med       Date:  2007-10-16       Impact factor: 25.391

2.  The characteristics and performance of hospitals that care for elderly Hispanic Americans.

Authors:  Ashish K Jha; E John Orav; Jie Zheng; Arnold M Epstein
Journal:  Health Aff (Millwood)       Date:  2008 Mar-Apr       Impact factor: 6.301

3.  Designing Difference in Difference Studies: Best Practices for Public Health Policy Research.

Authors:  Coady Wing; Kosali Simon; Ricardo A Bello-Gomez
Journal:  Annu Rev Public Health       Date:  2018-01-12       Impact factor: 21.981

4.  Association between ambulance diversion and survival among patients with acute myocardial infarction.

Authors:  Yu-Chu Shen; Renee Y Hsia
Journal:  JAMA       Date:  2011-06-12       Impact factor: 56.272

5.  Low-quality, high-cost hospitals, mainly in South, care for sharply higher shares of elderly black, Hispanic, and medicaid patients.

Authors:  Ashish K Jha; E John Orav; Arnold M Epstein
Journal:  Health Aff (Millwood)       Date:  2011-10       Impact factor: 6.301

6.  Hospital choice of rural Medicare beneficiaries: patient, hospital attributes, and the patient-physician relationship.

Authors:  Wan-Tzu Connie Tai; Frank W Porell; E Kathleen Adams
Journal:  Health Serv Res       Date:  2004-12       Impact factor: 3.402

7.  Continuity of care and patient outcomes after hospital discharge.

Authors:  Carl van Walraven; Muhammad Mamdani; Jiming Fang; Peter C Austin
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

8.  Impact Of Ambulance Diversion: Black Patients With Acute Myocardial Infarction Had Higher Mortality Than Whites.

Authors:  Renee Y Hsia; Nandita Sarkar; Yu-Chu Shen
Journal:  Health Aff (Millwood)       Date:  2017-06-01       Impact factor: 6.301

9.  Potential bypassing of nearest emergency department by EMS transports.

Authors:  Amresh D Hanchate; Danyang Qi; Jason P Stopyra; Michael K Paasche-Orlow; William E Baker; James Feldman
Journal:  Health Serv Res       Date:  2021-11-24       Impact factor: 3.402

10.  Association of Race/Ethnicity With Emergency Department Destination of Emergency Medical Services Transport.

Authors:  Amresh D Hanchate; Michael K Paasche-Orlow; William E Baker; Meng-Yun Lin; Souvik Banerjee; James Feldman
Journal:  JAMA Netw Open       Date:  2019-09-04
View more
  1 in total

1.  Potential bypassing of nearest emergency department by EMS transports.

Authors:  Amresh D Hanchate; Danyang Qi; Jason P Stopyra; Michael K Paasche-Orlow; William E Baker; James Feldman
Journal:  Health Serv Res       Date:  2021-11-24       Impact factor: 3.402

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.