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Predictors of Prehospital Delay in Patients With Acute Myocardial Infarction in Kashan City
BACKGROUND: The prehospital delay might result in death in patients with acute myocardial infarction (AMI). OBJECTIVES: This study aimed to investigate the prehospital delay and its related factors in patients with AMI admitted to Kashan’s Shahid Beheshti Hospital. PATIENTS AND METHODS: This cross-s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kashan University of Medical Sciences
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348727/ https://www.ncbi.nlm.nih.gov/pubmed/25741517 |
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author | Saberi, Farzaneh Adib-Hajbaghery, Mohsen Zohrehea, Javad |
author_facet | Saberi, Farzaneh Adib-Hajbaghery, Mohsen Zohrehea, Javad |
author_sort | Saberi, Farzaneh |
collection | PubMed |
description | BACKGROUND: The prehospital delay might result in death in patients with acute myocardial infarction (AMI). OBJECTIVES: This study aimed to investigate the prehospital delay and its related factors in patients with AMI admitted to Kashan’s Shahid Beheshti Hospital. PATIENTS AND METHODS: This cross-sectional study was conducted on 117 patients with AMI in the second half of 2013. The interval between the onset of symptoms and arrival at the hospital was noted and in cases of delay, the factors leading to the delay were investigated using a questionnaire. The content validity of the questionnaire was confirmed through content validity method and its internal consistency was confirmed using Cronbach's alpha coefficient. Chi-square test, odds ratio, and logistic regression analysis were used in data analysis. RESULTS: The median delay was 129 minutes (mean ± SD, 240.44 ± 295.30). Overall, 32.5% of patients were admitted within 90 minutes of symptom onset. The long distance between living locations to the hospital was the most common cause of delay to hospital admission (31.7%). Significant associations were observed between the delay time and location of residency (P = 0.00) and type of transportation vehicle (P = 0.003). Multivariate logistic regression analysis showed that the location of residency and type of transportation vehicle could significantly predict the delay time in patients with AMI (P = 0.039 and 0.036, respectively). CONCLUSIONS: The delay time from symptom onset to hospital admission was high in patients with AMI. It is necessary to create emergency medical system (EMS) stations in suburbs and train the public on the importance of quick contact with the EMS when the symptoms of an AMI are observed. |
format | Online Article Text |
id | pubmed-4348727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Kashan University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-43487272015-03-04 Predictors of Prehospital Delay in Patients With Acute Myocardial Infarction in Kashan City Saberi, Farzaneh Adib-Hajbaghery, Mohsen Zohrehea, Javad Nurs Midwifery Stud Research Article BACKGROUND: The prehospital delay might result in death in patients with acute myocardial infarction (AMI). OBJECTIVES: This study aimed to investigate the prehospital delay and its related factors in patients with AMI admitted to Kashan’s Shahid Beheshti Hospital. PATIENTS AND METHODS: This cross-sectional study was conducted on 117 patients with AMI in the second half of 2013. The interval between the onset of symptoms and arrival at the hospital was noted and in cases of delay, the factors leading to the delay were investigated using a questionnaire. The content validity of the questionnaire was confirmed through content validity method and its internal consistency was confirmed using Cronbach's alpha coefficient. Chi-square test, odds ratio, and logistic regression analysis were used in data analysis. RESULTS: The median delay was 129 minutes (mean ± SD, 240.44 ± 295.30). Overall, 32.5% of patients were admitted within 90 minutes of symptom onset. The long distance between living locations to the hospital was the most common cause of delay to hospital admission (31.7%). Significant associations were observed between the delay time and location of residency (P = 0.00) and type of transportation vehicle (P = 0.003). Multivariate logistic regression analysis showed that the location of residency and type of transportation vehicle could significantly predict the delay time in patients with AMI (P = 0.039 and 0.036, respectively). CONCLUSIONS: The delay time from symptom onset to hospital admission was high in patients with AMI. It is necessary to create emergency medical system (EMS) stations in suburbs and train the public on the importance of quick contact with the EMS when the symptoms of an AMI are observed. Kashan University of Medical Sciences 2014-12-29 2014-12 /pmc/articles/PMC4348727/ /pubmed/25741517 Text en Copyright © 2014, Kashan University of Medical Sciences. http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited. |
spellingShingle | Research Article Saberi, Farzaneh Adib-Hajbaghery, Mohsen Zohrehea, Javad Predictors of Prehospital Delay in Patients With Acute Myocardial Infarction in Kashan City |
title | Predictors of Prehospital Delay in Patients With Acute Myocardial Infarction in Kashan City |
title_full | Predictors of Prehospital Delay in Patients With Acute Myocardial Infarction in Kashan City |
title_fullStr | Predictors of Prehospital Delay in Patients With Acute Myocardial Infarction in Kashan City |
title_full_unstemmed | Predictors of Prehospital Delay in Patients With Acute Myocardial Infarction in Kashan City |
title_short | Predictors of Prehospital Delay in Patients With Acute Myocardial Infarction in Kashan City |
title_sort | predictors of prehospital delay in patients with acute myocardial infarction in kashan city |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348727/ https://www.ncbi.nlm.nih.gov/pubmed/25741517 |
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