Skip to main content

Advertisement

Log in

Prevalence and predictors of non-steroidal anti-inflammatory drug/analgesic therapeutic duplication in the South Korean ambulatory care setting

  • Pharmacoepidemiology and Prescription
  • Published:
European Journal of Clinical Pharmacology Aims and scope Submit manuscript

Abstract

Purpose

Therapeutic duplication (TD) in prescriptions is a common cause of inappropriate drug use. This study aimed to determine the prevalence of TD in the Korean ambulatory setting and to determine the patient and prescriber characteristics that were associated with TD of non-steroidal anti-inflammatory drugs (NSAIDs) and analgesics.

Methods

Ambulatory care cases with NSAID/analgesic prescriptions were extracted from the National Health Insurance database for January–March 2011. The Korean TD classification (64 ingredients) was used to define cases of TD. Multivariate logistic regression was used to determine the predictors of TD. The independent variables in the regression model included patient characteristics (sex, age, insurance type, comorbidity, diagnosis, and number of prescribed drugs) and prescriber characteristics (type of medical institution and specialty).

Results

Among 21 million patients, we identified 59,636,222 ambulatory care visits with NSAID/analgesic prescriptions; 13.3 % of these cases involved TD. The most frequent duplications were diclofenac/aceclofenac (12.4 % of TDs), diclofenac/talniflumate (11.2 %), and diclofenac/loxoprofen sodium (10.7 %). Male sex, older age, and a Charlson comorbidity index of ≥1 were associated with an increased likelihood of TD. Arthritis, injection administration (OR 3.676, 95 % CI 3.670–3.683), and the number of drugs per prescription were associated with an increased likelihood of TD. Orthopedic and pediatric specialties were associated with an increased likelihood of TD.

Conclusions

This study is the first to determine the prevalence of NSAID TD and the factors that were associated with its occurrence in South Korea. These results may help prevent TD and improve appropriate medication use.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. United States. Social Security Administration. Office of Legislation and Congressional Affairs. (1990) Omnibus Budget Reconciliation Act of 1990 : H.R. 5835, Public Law 101-508, 101st Congress : reports, bills, debates, and act. Dept. of Health and Human Services, Social Security Administration, Office of the Deputy Commissioner for Policy and External Affairs, Office of Legislation and Congressional Affairs, Washington, D.C.

  2. Lanas A, Hunt R (2006) Prevention of anti-inflammatory drug-induced gastrointestinal damage: benefits and risks of therapeutic strategies. Ann Med 38:415–428

    Article  PubMed  CAS  Google Scholar 

  3. HIRA (2011) Prescribing & Dispensing Support System (DUR); Final Rule. In: ed. HIRA

  4. Hawkey CJ (2001) Nonsteroidal anti-inflammatory drugs and the gastrointestinal tract: consensus and controversy. Introduction. Am J Med 110(1A):1S–3S

    Article  PubMed  CAS  Google Scholar 

  5. Gabriel SE, Jaakkimainen L, Bombardier C (1991) Risk for serious gastrointestinal complications related to use of nonsteroidal anti-inflammatory drugs. A meta-analysis. Ann Intern Med 115:787–796

    Article  PubMed  CAS  Google Scholar 

  6. Hoppmann RA, Peden JG, Ober SK (1991) Central nervous system side effects of nonsteroidal anti-inflammatory drugs. Aseptic meningitis, psychosis, and cognitive dysfunction. Arch Intern Med 151:1309–1313

    Article  PubMed  CAS  Google Scholar 

  7. Aronson MD (1997) Nonsteroidal anti-inflammatory drugs, traditional opioids, and tramadol: contrasting therapies for the treatment of chronic pain. Clin Ther 19:420–432

    Article  PubMed  CAS  Google Scholar 

  8. Curhan GC, Willett WC, Rosner B, Stampfer M (2002) Frequency of analgesic use and risk of hypertension in younger women. Arch Intern Med 162:2204–2208

    Article  PubMed  CAS  Google Scholar 

  9. Azoulay L, Zargarzadeh A, Salahshouri Z, Oraichi D, Berard A (2005) Inappropriate medication prescribing in community-dwelling elderly people living in Iran. Eur J Clin Pharmacol 61:913–919

    Article  PubMed  Google Scholar 

  10. 10 Jeon HS (2008) Drug Utilization Review of Geriatric Outpatients. In: ed. Sungkyunkwan University

  11. Heo JH, Suh DC, Kim S, Lee EK (2013) Evaluation of the pilot program on the real-time drug utilization review system in South Korea. Int J Med Inform 82:987–995

    Article  PubMed  Google Scholar 

  12. WHO (2011) Anatomical Therapeutic Chemical (ATC) classification. In: ed. WHO Collaborating Centre for Drug Statistics Methodology.

  13. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383

    Article  PubMed  CAS  Google Scholar 

  14. Paulino EI, Bouvy ML, Gastelurrutia MA, Guerreiro M, Buurma H, Group E-SRCPR (2004) Drug related problems identified by European community pharmacists in patients discharged from hospital. Pharm World Sci 26:353–360

    PubMed  Google Scholar 

  15. Leemans L, Veroeveren L, Bulens J, Hendrickx C, Keyenberg W, Niesten F, Vandeberg J, Van Hoof J, Laekeman G (2003) Frequency and trends of interventions of prescriptions in Flemish community pharmacies. Pharm World Sci 25:65–69

    Article  PubMed  Google Scholar 

  16. Kjeldsen LJ, Birkholm T, Fischer H, Graabaek T, Kibsdal KP, Ravn-Nielsen LV, Truelshoj TH (2014) Characterization of drug-related problems identified by clinical pharmacy staff at Danish hospitals. Int J Clin Pharm 36:734–741

    Article  PubMed  Google Scholar 

  17. Lim CM, Aryani Md Yusof F, Selvarajah S, Lim TO (2011) Use of ATC to describe duplicate medications in primary care prescriptions. Eur J Clin Pharmacol 67:1035–1044

    Article  PubMed  Google Scholar 

  18. Chen YC, Hwang SJ, Lai HY, Chen TJ, Lin MH, Chen LK, Lee CH (2009) Potentially inappropriate medication for emergency department visits by elderly patients in Taiwan. Pharmacoepidemiol Drug Saf 18:53–61

    Article  PubMed  CAS  Google Scholar 

  19. Turunen JHO, Mantyselka PT, Kumpusalo EA, Ahonen RS (2005) Frequent analgesic use at population level: prevalence and patterns of use. Pain 115:374–381

    Article  PubMed  Google Scholar 

Download references

Author contributions

H.A.K. designed the study, performed the statistical analyses, and drafted the manuscript. S.M.L. reviewed literature and critically revised the manuscript. C.P. designed the study and performed the statistical analyses. D.S.K. contributed to the research question, study design, drafting, and final approval of the manuscript. D.S.K. is the guarantor of this work had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Funding

This study was partially funded by a research grant from the Health Insurance Review & Assessment Service in Korea.

Conflicts of interest

The authors declare no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dong-Sook Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kang, H.A., Lee, SM., Park, C. et al. Prevalence and predictors of non-steroidal anti-inflammatory drug/analgesic therapeutic duplication in the South Korean ambulatory care setting. Eur J Clin Pharmacol 72, 109–116 (2016). https://doi.org/10.1007/s00228-015-1958-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00228-015-1958-0

Keywords

Navigation