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. 2014 Apr;27(2):152-61.
doi: 10.3344/kjp.2014.27.2.152. Epub 2014 Mar 28.

Model determination of delayed causes of analgesics prescription in the emergency ward in arak, iran

Ali Cyrus  1 , Mehrdad Moghimi  2 , Abolfazle Jokar  3 , Mohammad Rafeie  4 , Ali Moradi  5 , Parisa Ghasemi  1 , Hanieh Shahamat  1 , Ali Kabir  6
Affiliations

Model determination of delayed causes of analgesics prescription in the emergency ward in arak, iran

Ali Cyrus et al. Korean J Pain. 2014 Apr.

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.

Keywords: analgesics; attitude of health personnel; emergency medicine; narcotics; pain; physician's practice patterns.

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Fig. 1
Fig. 1
Relative frequency of prescribing pain medication to patients in stages I, II and III.
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References

    1. Fry M, Bennetts S, Huckson S. An Australian audit of ED pain management patterns. J Emerg Nurs. 2011;37:269–274. - PubMed
    1. Wilson JE, Pendleton JM. Oligoanalgesia in the emergency department. Am J Emerg Med. 1989;7:620–623. - PubMed
    1. Ducharme J. Acute pain and pain control: state of the art. Ann Emerg Med. 2000;35:592–603. - PubMed
    1. Marshall KW. Practical implications of cyclooxygenase-2--specific inhibitors in orthopedics. Am J Orthop (Belle Mead NJ) 1999;28(3 Suppl):19–21. - PubMed
    1. Kelly AM. Patient satisfaction with pain management does not correlate with initial or discharge VAS pain score, verbal pain rating at discharge, or change in VAS score in the Emergency Department. J Emerg Med. 2000;19:113–116. - PubMed

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