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Utilization, availability of analgesics and quality of pain control for post-operative pain in surgical patients

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Abstract

Background

Effective post-operative pain control can provide patient comfort and satisfaction and also improve quality of life.

Objectives

The study aimed to determine the amount of opioid and non-opioid analgesics used during the 24-h post-operative period, as well as the effectiveness of pain control, in the general surgical wards of Thingangyun Sanpya General Hospital and Yangon General Hospital in Yangon, Myanmar.

Methods

We conducted this hospital-based, prospective, cross-sectional descriptive study over a period of 5 months (May to September, 2016). World Health Organization (WHO) Anatomical Therapeutic Chemical classification (ATC)/Defined Daily Dose (DDD) methodology and drug utilization (DU) 90% segments were used to determine the amount of opioid and non-opioid analgesics used during the 24-h post-operative period. The effectiveness of pain control was determined using a numerical rating scale (NRS) and the pain Management Index (PMI).

Results

Among total 233 post-operative patients, 161 patients (69%) received combined opioids and non-opioid analgesics, 36 patients (15.5%) received opioid analgesics only and 36 patients (15.5%) received non-opioid analgesics only. Total analgesic usage was 11.04 DDD/1000 inhabitants/days. Diclofenac was the most frequently prescribed analgesic (5.9 DDD/1000 inhabitants/days), followed by tramadol (1.9), and ketorolac (1.75); fentanyl was the least frequently prescribed (0.04). Diclofenac, tramadol and ketorolac were included in the DU 90% segment. Six hourly NRS records reveal 7–25% of patients suffered moderate pain and 0.9–2.1% suffered severe pain. By using PMI, 208 patients (89.3%) received adequate pain medication and 25 patients (10.7%) received ineffective pain medication. All analgesics listed in the 2016 Myanmar National List of Essential Medicines were available on these wards.

Conclusion

The results of this study can provide information to the prescriber about to what extent analgesics were being used and to policy makers or administrators for planning services on management of post-operative pain.

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References

  1. Sjoqvist F, Birkett D. Drug utilization: introduction to drug utilization research (WHO booklet). New York: WHO Office of Publications; 2003. p. 76–84.

    Google Scholar 

  2. World Health Organization. Introduction to drug utilization research. Geneva: World Health Organization; 2003.

    Google Scholar 

  3. Capellà D. Descriptive tools and analysis. In: Dukes MNG, editor. Drug utilization studies: methods and uses. Geneva: WHO Regional Publications, European Series; 1992. p. 55–78.

    Google Scholar 

  4. Bergman U, Popa C, Tomson Y, et al. Drug utilization 90%: a simple method for assessing the quality of drug prescribing. Eur J Clin Pharmacol. 1998;54(2):113–8.

    Article  CAS  PubMed  Google Scholar 

  5. Wettermark B, Pehrsson A, Jinnerot D, et al. Drug utilization 90% profiles: a useful tools for quality assessment of prescribing in pharmacy health care in Stockholm. Pharmacoepidemiol Drug Saf. 2003;12(6):499–510.

    Article  PubMed  Google Scholar 

  6. IASP Subcommittee on Taxonomy. Pain terms: a list with definitions and notes on usage. Pain. 1980;8:249.

    Google Scholar 

  7. Hamilton GR, Baskett TF. In the arms of Morpheus: the development of morphine for postoperative pain relief. Can J Anaesth. 2000;47(4):367–74.

    Article  CAS  PubMed  Google Scholar 

  8. Dubois R, Melmed G, Henning J, et al. Risk of upper gastrointestinal injury and events in patients treated with cyclooxygenase (COX)-1/COX-2 non-steroidal anti-inflammatory drugs (NSAIDs), COX-2 selective NSAIDs, and gastro-protective cotherapy: an appraisal of the literature. J Clin Rheumatol. 2004;10(4):178–89.

    Article  PubMed  Google Scholar 

  9. Sen S, Bathini P. Auditing analgesic use in post-operative setting in a teaching hospital. J Clin Diagn Res. 2015;9(4):FC01–4.

    PubMed  PubMed Central  Google Scholar 

  10. Suseela TL, Jyothi SJ, Mahendra TE, et al. Drug utilization evaluation for post operative patients in obstetrics and gynaecology department in a tertiary care teaching hospital. World J Pharm Pharm Sci. 2016;5(7):1342–56.

    CAS  Google Scholar 

  11. Hudec R, Bozekova L, Foltan V, et al. 5 most consumed opioid analgesics in Slovakia in the year 2006: comparison to five other countries (Finland, Norway, Denmark, Spain, Australia). Bratisl Lek Listy. 2009;110(5):316–8.

    CAS  PubMed  Google Scholar 

  12. McGettigan P, Henry D. Use of non-steroidal anti-inflammatory drugs that elevate cardiovascular risk: an examination of sales and essential medicines lists in low-, middle-, and high-income countries. PLoS Med. 2013;10(2):e1001388.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. World Health Organization. Essential medicines: WHO model list. 19th ed. Geneva: World Health Organization; 2005.

    Google Scholar 

  14. Gerbershagen HJ, Aduckathil S, Van Wijck AJ, et al. Pain intensity on the first day after surgery: a prospective cohort study comparing 179 surgical procedures. J Am Soc Anesthesiol. 2013;118(4):934–44.

    Article  Google Scholar 

  15. Sommer M, De Rijke JM, Van Kleef M, et al. Predictors of acute postoperative pain after elective surgery. Clin J Pain. 2010;26(2):87–94.

    Article  PubMed  Google Scholar 

  16. Svensson I, Sjöström B, Haljamäe H. Assessment of pain experiences after elective surgery. J Pain Symptom Manag. 2000;20(3):193–201.

    Article  CAS  Google Scholar 

  17. Cleeland CS, Gonin R, Hatfield AK, et al. Pain and its treatment in outpatients with metastatic cancer. New Engl J Med. 1994;330(9):592–6.

    Article  CAS  PubMed  Google Scholar 

  18. Donnelly AJ, Golembiewski JA. Perioperative care. In: Koda-Kimble MA, Young LY, Alldredge BK, et al., editors. Applied therapeutics: the clinical use of drugs. 9th ed. Philadelphia: Lippincott Williams & Wilkins; 2009. p. 9–27.

    Google Scholar 

  19. International Narcotics Control Board. Availability of internationally controlled drugs: ensuring adequate access for medical and scientific purposes. United Nations; 2015. pp. 9–35.

  20. Woldehaimanot TE, Eshetie TC, Kerie MW. Postoperative pain management among surgically treated patients in an Ethiopian Hospital. PLoS One. 2014;9(7):e102835.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Hodges SC, Mijumbi C, Okello M, et al. Anaesthesia services in developing countries: defining the problems. Anaesthesia. 2007;62(1):4–11.

    Article  CAS  PubMed  Google Scholar 

  22. World Health Organization. Guidelines for ATC classification and DDD assignment. 18th ed. Oslo: World Health Organization; 2015.

    Google Scholar 

  23. Krnic D, Anic-Matic A, Dosenovic S, et al. National consumption of opioid and nonopioid analgesics in Croatia: 2007–2013. Ther Clin Ris Manag. 2015;11:1305–14.

    Google Scholar 

  24. Ponizovsky Marom AM, Zeldin E, et al. Trends in opioid analgesics consumption, Israel, 2000–2008. Eur J Clin Pharmacol. 2011;67(2):165–8.

    Article  PubMed  Google Scholar 

  25. Mary SC, Choy YC, Marzida M, et al. Use of opioid analgesics. In: Lian LM, Kamarudin A, Siti Fauziah A, et al. editors. Malaysian statistics on medicines. Malaysia: The National Medicines Use Survey; 2008. pp. 121–2.

    Google Scholar 

  26. Bisgaard T, Klarskov B, Rosenberg J, et al. Characteristics and prediction of early pain after laparoscopic cholecystectomy. Pain. 2001;90(3):261–9.

    Article  CAS  PubMed  Google Scholar 

  27. Farsi M, Gitto L. A statistical analysis of pain relief after surgical operations. Health Policy. 2007;83(2–3):382–90.

    Article  PubMed  Google Scholar 

  28. Aubrun F, Salvi N, Coriat P, et al. Sex- and age-related differences in morphine requirements for postoperative pain relief. J Am Soc Anesthesiol. 2005;103(1):156–60.

    Article  CAS  Google Scholar 

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Acknowledgements

We wish to thank Professor Thein Myint, Professor Soe Myat Mon, Dr. Kyaw Swar and Dr. Kyaw Swar Mya for their help and advice.

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Authors and Affiliations

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Corresponding author

Correspondence to Ye Htut Linn.

Ethics declarations

This study was approved by the Postgraduate Board of Studies (Pharmacology), University of Medicine 1, Yangon (an institutional review board). The trial was registered at Thai Clinical Trial registry with the trial registration number TCTR20180808006. All procedures performed in this study were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Written informed consent was obtained from all individual participants included in the study.

Conflict of interest

The authors declare that they have no conflict of interest.

Funding

No financial support was received for this study.

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Min, Y., Tun, T., Linn, Y.H. et al. Utilization, availability of analgesics and quality of pain control for post-operative pain in surgical patients. Drugs Ther Perspect 35, 93–99 (2019). https://doi.org/10.1007/s40267-018-0582-3

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  • DOI: https://doi.org/10.1007/s40267-018-0582-3

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