Literature DB >> 28943036

Validation of a Dispatch Protocol with Continuous Quality Control for Cardiac Arrest: A Before-and-After Study at a City Fire Department-Based Dispatch Center.

Chien-Hsiung Huang1, Hsuan-Jui Fan2, Cheng-Yu Chien2, Chen-June Seak2, Chan-Wei Kuo2, Chip-Jin Ng2, Wen-Cheng Li3, Yi-Ming Weng4.   

Abstract

BACKGROUND: An optimized protocol to help dispatchers identify potential cases of cardiac arrest and provide phone instructions for cardiopulmonary resuscitation (CPR) may increase the provision of bystander CPR, further improving the survival rate and neurological outcomes.
OBJECTIVE: We assessed a revised dispatcher-assisted (DA)-CPR protocol with a continuous quality-improvement feature in a county fire department-based emergency medical services system.
METHODS: This was a before-and-after intervention prospective study conducted in Taoyuan City, Taiwan. The participants were out-of-hospital cardiac arrest (OHCA) patients from November 2014 to February 2016. Interventional quality control started in August 2015. Approximately 10% of the telephone calls from these OHCA patients were reviewed.
RESULTS: In total, 66 and 64 cases were included in the before- and after-intervention groups, respectively. No significant differences were observed in sex, age, day, and time of events, or languages spoken by the callers. After the intervention, we found significant improvements in the rates at which cardiac arrests were recognized (54.5% vs. 68.8%; p = 0.007) and normal breathing was checked (51.5% vs. 76.6%, p = 0.003). Moreover, the frequency with which DA-CPR was provided by the dispatchers improved significantly (50.0% vs. 72.7%; p = 0.046). Significant improvement in patient outcomes was observed with regard to 24-h survival (7.6% vs. 20.3%, p = 0.036) but not with regard to survival to discharge (3.0% vs. 10.9%, p = 0.076).
CONCLUSIONS: The study found this DA-CPR protocol, which includes continuous quality control, is promising as it improved the successful recognition of cardiac arrests.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiac arrest; cardiopulmonary resuscitation; chest compression; dispatcher

Mesh:

Year:  2017        PMID: 28943036     DOI: 10.1016/j.jemermed.2017.06.028

Source DB:  PubMed          Journal:  J Emerg Med        ISSN: 0736-4679            Impact factor:   1.484


  4 in total

1.  [Degree of implementation of structured answering of emergency calls in German emergency dispatch centers and effects of the introduction in daily practice].

Authors:  T Luiz; H Marung; G Pollach; A Hackstein
Journal:  Anaesthesist       Date:  2019-03-21       Impact factor: 1.041

2.  Dispatcher assisted cardiopulmonary resuscitation implementation in Kuwait: A before and after study examining the impact on outcomes of out of hospital cardiac arrest victims.

Authors:  Dalal Al Hasan; Jonathan Drennan; Eloise Monger; Salim Al Mahmid; Haitham Ahmad; Mohmmad Ameen; Mazen El Sayed
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

3.  Tree-Based Algorithms and Association Rule Mining for Predicting Patients' Neurological Outcomes After First-Aid Treatment for an Out-of-Hospital Cardiac Arrest During COVID-19 Pandemic: Application of Data Mining.

Authors:  Wei-Chun Lin; Chien-Hsiung Huang; Liang-Tien Chien; Hsiao-Jung Tseng; Chip-Jin Ng; Kuang-Hung Hsu; Chi-Chun Lin; Cheng-Yu Chien
Journal:  Int J Gen Med       Date:  2022-09-19

4.  Adult Basic Life Support: International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.

Authors:  Theresa M Olasveengen; Mary E Mancini; Gavin D Perkins; Suzanne Avis; Steven Brooks; Maaret Castrén; Sung Phil Chung; Julie Considine; Keith Couper; Raffo Escalante; Tetsuo Hatanaka; Kevin K C Hung; Peter Kudenchuk; Swee Han Lim; Chika Nishiyama; Giuseppe Ristagno; Federico Semeraro; Christopher M Smith; Michael A Smyth; Christian Vaillancourt; Jerry P Nolan; Mary Fran Hazinski; Peter T Morley
Journal:  Resuscitation       Date:  2020-10-21       Impact factor: 5.262

  4 in total

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