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Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran

BACKGROUND: According to the reports of the World Health Organization 20% of world population suffer from pain and 33% of them suffer to some extent that they cannot live independently. METHODS: This is a cross-sectional study which was conducted in the emergency department (ED) of Valiasr Hospital...

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Autores principales: Cyrus, Ali, Moghimi, Mehrdad, Jokar, Abolfazle, Rafeie, Mohammad, Moradi, Ali, Ghasemi, Parisa, Shahamat, Hanieh, Kabir, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Pain Society 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3990824/
https://www.ncbi.nlm.nih.gov/pubmed/24748944
http://dx.doi.org/10.3344/kjp.2014.27.2.152
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author Cyrus, Ali
Moghimi, Mehrdad
Jokar, Abolfazle
Rafeie, Mohammad
Moradi, Ali
Ghasemi, Parisa
Shahamat, Hanieh
Kabir, Ali
author_facet Cyrus, Ali
Moghimi, Mehrdad
Jokar, Abolfazle
Rafeie, Mohammad
Moradi, Ali
Ghasemi, Parisa
Shahamat, Hanieh
Kabir, Ali
author_sort Cyrus, Ali
collection PubMed
description BACKGROUND: According to the reports of the World Health Organization 20% of world population suffer from pain and 33% of them suffer to some extent that they cannot live independently. METHODS: This is a cross-sectional study which was conducted in the emergency department (ED) of Valiasr Hospital of Arak, Iran, in order to determine the causes of delay in prescription of analgesics and to construct a model for prediction of circumstances that aggravate oligoanalgesia. Data were collected during a period of 7 days. RESULTS: Totally, 952 patients participated in this study. In order to reduce their pain intensity, 392 patients (42%) were treated. Physicians and nurses recorded the intensity of pain for 66.3% and 41.37% of patients, respectively. The mean (SD) of pain intensity according to visual analogue scale (VAS) was 8.7 (1.5) which reached to 4.4 (2.3) thirty minutes after analgesics prescription. Median and mean (SD) of delay time in injection of analgesics after the physician's order were 60.0 and 45.6 (63.35) minutes, respectively. The linear regression model suggested that when the attending physician was male or intern and patient was from rural areas the delay was longer. CONCLUSIONS: We propose further studies about analgesics administration based on medical guidelines in the shortest possible time and also to train physicians and nurses about pain assessment methods and analgesic prescription.
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spelling pubmed-39908242014-04-18 Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran Cyrus, Ali Moghimi, Mehrdad Jokar, Abolfazle Rafeie, Mohammad Moradi, Ali Ghasemi, Parisa Shahamat, Hanieh Kabir, Ali Korean J Pain Original Article BACKGROUND: According to the reports of the World Health Organization 20% of world population suffer from pain and 33% of them suffer to some extent that they cannot live independently. METHODS: This is a cross-sectional study which was conducted in the emergency department (ED) of Valiasr Hospital of Arak, Iran, in order to determine the causes of delay in prescription of analgesics and to construct a model for prediction of circumstances that aggravate oligoanalgesia. Data were collected during a period of 7 days. RESULTS: Totally, 952 patients participated in this study. In order to reduce their pain intensity, 392 patients (42%) were treated. Physicians and nurses recorded the intensity of pain for 66.3% and 41.37% of patients, respectively. The mean (SD) of pain intensity according to visual analogue scale (VAS) was 8.7 (1.5) which reached to 4.4 (2.3) thirty minutes after analgesics prescription. Median and mean (SD) of delay time in injection of analgesics after the physician's order were 60.0 and 45.6 (63.35) minutes, respectively. The linear regression model suggested that when the attending physician was male or intern and patient was from rural areas the delay was longer. CONCLUSIONS: We propose further studies about analgesics administration based on medical guidelines in the shortest possible time and also to train physicians and nurses about pain assessment methods and analgesic prescription. The Korean Pain Society 2014-04 2014-03-28 /pmc/articles/PMC3990824/ /pubmed/24748944 http://dx.doi.org/10.3344/kjp.2014.27.2.152 Text en Copyright © The Korean Pain Society, 2014 http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Cyrus, Ali
Moghimi, Mehrdad
Jokar, Abolfazle
Rafeie, Mohammad
Moradi, Ali
Ghasemi, Parisa
Shahamat, Hanieh
Kabir, Ali
Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran
title Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran
title_full Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran
title_fullStr Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran
title_full_unstemmed Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran
title_short Model Determination of Delayed Causes of Analgesics Prescription in the Emergency Ward in Arak, Iran
title_sort model determination of delayed causes of analgesics prescription in the emergency ward in arak, iran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3990824/
https://www.ncbi.nlm.nih.gov/pubmed/24748944
http://dx.doi.org/10.3344/kjp.2014.27.2.152
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