Computerized data mining analysis of keywords as indicators of the concepts in AHA-BLS guideline updates.
American Heart Association
Basic Life Support
Cardiopulmonary resuscitation
Data mining analysis
Guideline
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
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
1436-1440Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.