Modifiable Factors Associated With Improved Cardiac Arrest Survival in a Multicenter Basic Life Support/Defibrillation System: OPALS Study Phase I Results

Stiell, Ian G.; Wells, George A.; DeMaio, Valerie J; Spaite, Daniel W.; Field, Brian; Munkley, Douglas P; Lyver, Marion B; Luinstra, Lorraine G; Ward, Roxanne

doi:10.1016/s0196-0644(99)70415-4

Cited by 281 publications

(136 citation statements)

References 25 publications

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“…It included ambulance call reports, initial rhythm records, dispatch reports, and survival records. 33,34 This analysis outcome was survival to hospital discharge. This was verified by review of hospital records or an interview of the patient's family physician.…”

Section: Study Setting and Populationmentioning

confidence: 99%

Differential Survival for Men and Women from Out-of-hospital Cardiac Arrest Varies by Age: Results from the OPALS Study

et al. 2014

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Section: Study Setting and Populationmentioning

confidence: 99%

Differential Survival for Men and Women from Out-of-hospital Cardiac Arrest Varies by Age: Results from the OPALS Study

et al. 2014

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“…Patient and care characteristics can predict favourable outcome and this understanding has been incorporated in efforts to improve resuscitation. [1][2][3][4] EMS-treated out-of-hospital cardiac arrest survival figures across communities varies approximately 12-fold for both all-rhythms arrests (1.8%-21.5%) and arrests presenting with ventricular fibrillation (3.3-40.5%). 2,[5][6][7][8] Understanding this heterogeneity provides the foundation for improving the care and outcome for cardiac arrest and in turn may impact this public health challenge.…”

Section: Introductionmentioning

confidence: 99%

“…In other disease states registries have provided invaluable resources to establish novel prognostic measures that may serve to further the understanding of the pathophysiology or guide patient care. 1,3,5,6,9 To date, no single North American population-based registry from multiple communities exists for out-of-hospital cardiac arrest. The Resuscitation Outcomes Consortium (ROC) is supported to conduct randomized clinical trials evaluating promising treatment interventions for out-of-hospital cardiac arrest and life-threatening trauma.…”

Section: Introductionmentioning

confidence: 99%

Rationale, development and implementation of the Resuscitation Outcomes Consortium Epistry—Cardiac Arrest

Morrison¹,

Nichol²,

Rea³

et al. 2008

Resuscitation

247

204

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Objective-To describe the development, design and consequent scientific implications of the Resuscitation Outcomes Consortium (ROC) population-based registry; ROC Epistry-Cardiac Arrest. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Nonauthor contributions outlined in Online Appendix 1 Methods-The ROC Epistry-Cardiac Arrest is designed as a prospective population-based registry of all Emergency Medical Services (EMS)-attended 9-1-1 calls for patients with out-ofhospital cardiac arrest occurring in the geographical area described by the eight US and three Canadian regions. The data set was derived by an North American interdisciplinary steering committee. Enrolled cases include individuals of all ages who experience cardiac arrest outside the hospital, with evaluation by organized EMS personnel and: a) attempts at external defibrillation (by lay responders or emergency personnel), or chest compressions by organized EMS personnel; OR b) were pulseless but did not receive attempts to defibrillate or CPR by EMS personnel. Selected data items are categorized as mandatory or optional and undergo revisions approximately every 12 months. Where possible all definitions are referenced to existing literature. Where a common definition did not exist one was developed. Optional items include standardized CPR process data elements. It is anticipated the ROC Epistry-Cardiac Arrest will enroll between approximately 9000 and 13,500 treated all rhythm arrests and 4000 and 5000 ventricular fibrillation arrests annually and approximately 8000 EMS-attended but untreated arrests. Conflict of interest: None NIH Public AccessConclusion-We describe the rationale, development, design and future implications of the ROC Epistry-Cardiac Arrest. This paper will serve as the reference for subsequent ROC manuscripts and for the common data elements captured in both ROC Epistry-Cardiac Arrest and the ROC trials.

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“…The fitness of potential solutions were evaluated usingon EMS-distances between census area centroid and potential site. Of the re-allocating ambulances, 23 out of 27 were at existing sites, 4 were allocated to new sites, the average distance increased for 3 sites (by 319m) and decreased for 20 sites (by 630m (Snyder et al, 2007;Stiell et al, 1999). Specifically, several studies have noted the improved survival of patients with a high risk of mortality when the response time was less than 4 to 5 minutes (Blackwell and Kaufman, 2002;Pons et al, 2005) and have sought to improve the response times through enhancing EMS management and relocating ambulance stations (Gossage et al, 2008;Peleg and Pliskin, 2004).…”

Section: Discussionmentioning

confidence: 99%

“…Third, the model allows for different numbers of facilities to be located within the solution and their benefits evaluated. As ambulance response time to EMS cases is a critical factor in patient survival (Snyder et al, 2007;Stiell et al, 1999), the approach provides nuanced evidence to those responsible for developing spatial policy. Section 2 describes the scientific context of this work.…”

Section: Introductionmentioning

confidence: 99%

A modified grouping genetic algorithm to select ambulance site locations

Comber

Sasaki

Sano

et al. 2011

International Journal of Geographical Information Science

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This paper describes the development and application of a modified Grouping Genetic Algorithm (GGA) used to identify sets of optimal ambulance locations. The GGA was modified to consider a special case with only two groups, and the reproduction and mutation schemes were modified to operate more efficiently. It was applied to a case study locating ambulances from a fixed set of alternative locations. The sites were evaluated using data of emergency medical services (EMS) calls summarised over census areas and weighted by network distance. Census areas serviced by the same selected location defined ambulance catchments. The results indicated alternative sites for ambulances to be located, with average EMS response times improved by 1 minute 14 seconds and showed the impacts of having different numbers of ambulances in current locations and in new locations. The algorithmic developments associated with the modified GGA and the advantages of using census areas as spatial units to summarise data are discussed.

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Modifiable Factors Associated With Improved Cardiac Arrest Survival in a Multicenter Basic Life Support/Defibrillation System: OPALS Study Phase I Results

Cited by 281 publications

References 25 publications

Differential Survival for Men and Women from Out-of-hospital Cardiac Arrest Varies by Age: Results from the OPALS Study

Differential Survival for Men and Women from Out-of-hospital Cardiac Arrest Varies by Age: Results from the OPALS Study

Rationale, development and implementation of the Resuscitation Outcomes Consortium Epistry—Cardiac Arrest

A modified grouping genetic algorithm to select ambulance site locations

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