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Clinical Algorithms for Prehospital Cardiac Care

Dados Bibliográficos

ID9102444
AutoresC Gene Cayten (University of Pennsylvania), Jacqueline Oler (University of Pennsylvania), Rudolf Staroscik, Rudolf N Staroscik (University of Pennsylvania), Joel Morganroth (University of Pennsylvania), Kathleen Walker (0000-0003-1910-0055), Kathleen A Walker (University of Pennsylvania), Linda Cole (0000-0003-2952-1654, University of Pennsylvania), William Evans (0000-0002-8916-2684), William J Evans (0000-0001-6757-1471, University of Pennsylvania), Jane Murphy (0000-0003-3531-5566), Jane G Murphy (University of Pennsylvania)
Ano1983
Volume21
Fascículo2
Páginas147-156
Data de publicação1983-02-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-198302000-00003
PMID6827869
OpenAlexW2028835660
IdiomaEN
Citações recebidas1

Algorithms for the prehospital management of cardiac arrhythmias were developed and their use by and value to paramedics evaluated. The algorithms, in booklet form, were distributed to half of the Philadelphia paramedic platoons; paramedics in the other platoons followed a narrative protocol that reflected identical contents. An arrhythmia recognition test given 18 months after the algorithm booklets were introduced showed that paramedics who received the booklets scored significantly higher in identifying life-threatening arrhythmias (p = 0.029) than did their counterparts without the booklets. Survival data for 459 patients in ventricular fibrillation treated by paramedics were collected 1 year before and 7 months after the introduction of the algorithm booklets. The paramedics using the algorithms improved their survival rate from 11.25 to 15.1 per cent, while the survival rate for patients treated by paramedics using the narrative protocols decreased from 12.4 to 7.7 per cent. The likelihood of obtaining a ratio of survival odds of this magnitude when there is no true difference is 0.092. Time-to-death was significantly different (p = 0.04) for the two groups of patients. Thus, the use of algorithm booklets as an inexpensive educational aid for paramedics is recommended

Algorithm · Cardiology · Medical emergency · Narrative · Odds ratio · Ventricular fibrillation · Cardiac Arrest and Resuscitation · Computer Science · Emergency and Acute Care Studies · Emergency Medical Services · Emergency Medicine · Internal Medicine · Medicine · Trauma and Emergency Care Studies

  • Clinical Algorithms Teach Pediatric Decisionmaking More Effectively than Prose

    Carmi Z Margolis, Charles D Cook et al.•Medical Care•1989

Obras citantes distintas1
Citações por ano0,03
Intervalo de citações1989 - 1989 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
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