title: Model determination of delayed causes of analgesics prescription in the emergency ward in arak, iran.
abstract: 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.
authors.affiliation: Department of Urology, Arak University of Medical Sciences, Arak, Iran.
authors.forename: Ali
authors.initials: A
authors.lastname: Cyrus
authors.affiliation: Department of Surgery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Mehrdad
authors.initials: M
authors.lastname: Moghimi
authors.affiliation: Department of Emergency Medicine, Arak University of Medical Sciences, Arak, Iran.
authors.forename: Abolfazle
authors.initials: A
authors.lastname: Jokar
authors.affiliation: Department of Biostatistics, Arak University of Medical Sciences, Arak, Iran.
authors.forename: Mohammad
authors.initials: M
authors.lastname: Rafeie
authors.affiliation: Asasdabad Health and Treatment Network, Hamedan University of Medical Sciences, Hamadan, Iran. ; Department of Epidemiology, Faculty of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Ali
authors.initials: A
authors.lastname: Moradi
authors.affiliation: Department of Urology, Arak University of Medical Sciences, Arak, Iran.
authors.forename: Parisa
authors.initials: P
authors.lastname: Ghasemi
authors.affiliation: Department of Urology, Arak University of Medical Sciences, Arak, Iran.
authors.forename: Hanieh
authors.initials: H
authors.lastname: Shahamat
authors.affiliation: Department of Epidemiology, Faculty of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran. ; Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran.
authors.forename: Ali
authors.initials: A
authors.lastname: Kabir
keywords: analgesics; attitude of health personnel; emergency medicine; narcotics; pain; physician's practice patterns
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