Computerized data mining analysis of keywords as indicators of the concepts in AHA-BLS guideline updates.


Journal

The American journal of emergency medicine
ISSN: 1532-8171
Titre abrégé: Am J Emerg Med
Pays: United States
ID NLM: 8309942

Informations de publication

Date de publication:
07 2020
Historique:
received: 14 11 2019
revised: 26 11 2019
accepted: 30 11 2019
pubmed: 24 12 2019
medline: 25 8 2020
entrez: 24 12 2019
Statut: ppublish

Résumé

Cardiopulmonary resuscitation (CPR) guidelines have been updated every 5 years since 2000. Significant changes have been made in each update, and every time a guideline is changed, the instructors of each country that ratify the American Heart Association (AHA) must review the contents of the revised guideline to understand the changes made in the concept of CPR. The purpose of this study was to use a computerized data mining method to identify and characterize the changes in the key concepts of the AHA-Basic Life Support (BLS) updates between 2000 and 2015. We analyzed the guidelines of the AHA-BLS provider manual of 2000, 2005, 2010, and 2015 using a computerized data mining method and attempted to identify the changes in keywords along with changes in the guideline. In particular, the 2000 guideline has focused on the detailed BLS technique of an individual health care provider, whereas the 2005 and 2010 guidelines have focused on changing the ratio of chest compressions and breathing and changing the BLS sequence, respectively. In the most recent 2015 guideline, the CPR team was the central topic. We observed that as the guidelines were updated over the years, keywords related to CPR and automated external defibrillators (AED) associated with co-occurrence network continued to appear. Analysis revealed that keywords related to CPR and AED associated with the co-occurrence network continued to appear. We believe that the results of this study will ultimately contribute to optimizing AHA's educational strategies for health care providers.

Identifiants

pubmed: 31866248
pii: S0735-6757(19)30788-0
doi: 10.1016/j.ajem.2019.11.045
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1436-1440

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Hiroshi Sekiguchi (H)

Department of Critical Care and Emergency Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan. Electronic address: hiroshis@med.u-ryukyu.ac.jp.

Tatsuma Fukuda (T)

Department of Critical Care and Emergency Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.

Yuichiro Tamaki (Y)

Department of Critical Care and Emergency Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.

Kazuhiko Hanashiro (K)

Department of Public Health and Hygiene, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.

Kenichi Satoh (K)

The Center for Data Science Education and Research, Shiga University, Shiga, Japan.

Eiichi Ueno (E)

Fundamental Nursing, College of Nursing, University of Fukui School of Medical Sciences, Fukui, Japan.

Ichiro Kukita (I)

Department of Critical Care and Emergency Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.

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