Literature DB >> 15995089

Paramedic response time: does it affect patient survival?

Peter T Pons1, Jason S Haukoos, Whitney Bludworth, Thomas Cribley, Kathryn A Pons, Vincent J Markovchick.   

Abstract

OBJECTIVES: One marker of quality emergency medical services care is measured by meeting an 8-minute response time guideline. This guideline was based on results of paramedic response times for nontraumatic cardiac arrest patients and has not been studied in unselected patients. The objective of this study was to evaluate the effect of paramedic response time on survival to hospital discharge in unselected patients in a large urban setting while controlling for a number of potentially important confounders, including level of illness severity.
METHODS: This was a retrospective cohort study performed in an urban 911-based ambulance service system. Patients transported by paramedics to a single urban county teaching hospital from January 1, 1998, to December 31, 1998, were included. Data collected included patient demographics; paramedic response, scene, and transport times; the nature of the medical complaint; and whether the patient survived to hospital discharge. Multivariable logistic regression models were developed using response time as the primary independent variable and survival to hospital discharge as the dependent variable. Covariates included scene time, transport time, age, gender, and level of illness severity.
RESULTS: Of 34,111 calls involving emergency response, 11,078 patients (32%) were transported to the study institution and 10,382 (94%) had response time data available. Of these, 9,559 patients (92%) had data available to categorize them into groups based on their level of illness severity and were thus included in the study. A survival benefit was identified for response times <or=4 minutes (odds ratio [OR], 0.70; 95% confidence interval [CI] = 0.52 to 0.95). No survival benefit was identified when response time was modeled as a continuous variable (OR, 1.01; 95% CI = 0.98 to 1.04) or when dichotomized at 8 minutes (OR, 1.06; 95% CI = 0.80 to 1.42).
CONCLUSIONS: A paramedic response time within 8 minutes was not associated with improved survival to hospital discharge after controlling for several important confounders, including level of illness severity. However, a survival benefit was identified when the response time was within 4 minutes for patients with intermediate or high risk of mortality. Adherence to the 8-minute response time guideline in most patients who access out-of-hospital emergency services is not supported by these results.

Entities:  

Mesh:

Year:  2005        PMID: 15995089     DOI: 10.1197/j.aem.2005.02.013

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  29 in total

1.  Evaluating emergency medical service performance measures.

Authors:  Laura A McLay; Maria E Mayorga
Journal:  Health Care Manag Sci       Date:  2010-06

2.  Revisiting the "Golden Hour": An Evaluation of Out-of-Hospital Time in Shock and Traumatic Brain Injury.

Authors:  Craig D Newgard; Eric N Meier; Eileen M Bulger; Jason Buick; Kellie Sheehan; Steve Lin; Joseph P Minei; Roxy A Barnes-Mackey; Karen Brasel
Journal:  Ann Emerg Med       Date:  2015-01-14       Impact factor: 5.721

3.  Time on the scene and interventions are associated with improved survival in pediatric out-of-hospital cardiac arrest.

Authors:  Janice A Tijssen; David K Prince; Laurie J Morrison; Dianne L Atkins; Michael A Austin; Robert Berg; Siobhan P Brown; Jim Christenson; Debra Egan; Preston J Fedor; Ericka L Fink; Garth D Meckler; Martin H Osmond; Kathryn A Sims; James S Hutchison
Journal:  Resuscitation       Date:  2015-06-19       Impact factor: 5.262

4.  A Multi-Objective Optimization Approach for Emergency Medical Service Facilities Location-Allocation in Rural Areas.

Authors:  Yulong Chen; Zhizhu Lai
Journal:  Risk Manag Healthc Policy       Date:  2022-03-15

5.  Emergency medical services intervals and survival in trauma: assessment of the "golden hour" in a North American prospective cohort.

Authors:  Craig D Newgard; Robert H Schmicker; Jerris R Hedges; John P Trickett; Daniel P Davis; Eileen M Bulger; Tom P Aufderheide; Joseph P Minei; J Steven Hata; K Dean Gubler; Todd B Brown; Jean-Denis Yelle; Berit Bardarson; Graham Nichol
Journal:  Ann Emerg Med       Date:  2009-09-23       Impact factor: 5.721

6.  Rural risk: Geographic disparities in trauma mortality.

Authors:  Molly P Jarman; Renan C Castillo; Anthony R Carlini; Lisa M Kodadek; Adil H Haider
Journal:  Surgery       Date:  2016-08-06       Impact factor: 3.982

7.  A comparison of the outcome of CPR according to AHA 2005 ACLS and AHA 2010 ACLS guidelines in cardiac arrest: multicenter study.

Authors:  Oktay Ocal; Dogac Niyazi Ozucelik; Akkan Avci; Mustafa Yazicioglu; Yilmaz Aydin; Baris Murat Ayvaci; Halil Dogan; Kurtulus Aciksari; Zafer Cukurova
Journal:  Int J Clin Exp Med       Date:  2015-11-15

8.  Use of a Motorlance to Deliver Emergency Medical Services; a Prospective Cross Sectional Study.

Authors:  Korakot Apiratwarakul; Kamonwon Ienghong; Thapanawong Mitsungnern; Praew Kotruchin; Pariwat Phungoen; Vajarabhongsa Bhudhisawasdi
Journal:  Arch Acad Emerg Med       Date:  2019-08-21

9.  Medical emergency motorcycle--is it useful in a Scandinavian Emergency Medical Service?

Authors:  Anders Rostrup Nakstad; Bjørn Bjelland; Mårten Sandberg
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2009-02-24       Impact factor: 2.953

10.  Using genetic algorithms to optimise current and future health planning--the example of ambulance locations.

Authors:  Satoshi Sasaki; Alexis J Comber; Hiroshi Suzuki; Chris Brunsdon
Journal:  Int J Health Geogr       Date:  2010-01-28       Impact factor: 3.918

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.