Skip to main content
Log in

Detection of potential drug interactions – a model for a national pharmacy register

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

Abstract

Objective

The widespread use of pharmaceuticals prescribed by different physicians has caused the Swedish government to propose a new legislation with registration of all prescriptions dispensed at the Swedish pharmacies. In the present study, we wanted to examine the frequency, distribution and determinants of potential drug interactions.

Methods

The prescriptions from all individuals (n=8,214) with two or more prescriptions during October 2003 to December 2004 were collected from the ongoing Jämtland cohort study of a total of about 11,000 individuals. Potential drug–drug interactions were detected with a computerized interaction detection system and classified according to clinical relevance (types A–D).

Results

On average each individual filled 14.6 (men 14.3, women 14.8) prescriptions during the study period. 3.6% of the individuals used more than 15 different drugs. The number of detected potential drug interactions type A–D was 4,941 (men 1,949, women 2,992). The risk of receiving a potential interaction type A–D was estimated as the cumulative incidence 0.26 (2,116/8,214) overall, 0.22 (748/3,467) for men and 0.29 (1,368/4,747) for women during the 15-month study period. The age adjusted risk, RRadj, for women was estimated as 1.30. Excluding sex hormones and modulators of the genital system, the RRadj was 0.96, with no elevated risk for women. For potential interactions type D, that might have serious clinical consequences, 167 (cumulative incidence 0.0203) individuals (72 men, cumulative incidence 0.0208, 95 women cumulative incidence 0.0200) were detected. The risk of receiving a combination of potentially interacting drugs was positively correlated to age and polypharmacy. The cumulative incidence for elderly was estimated as 0.36 (65–84 years) and 0.39 (85 years and above). The relative risk for individuals with 15 drugs or more was estimated as 3.67 (95% CI 3.46–3.90).

Conclusion

In a general population there were relatively few severe potential drug interactions. The new Swedish national pharmacy register will provide health care professionals with a powerful tool to systematically review all prescriptions. An alert system should focus on the more potential drug interactions, type C–D, with close monitoring of elderly and patients with polypharmacy.

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.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Prop. 2004/05:70 Ökad patientsäkerhet på läkemedelsområdet (Improved patient safety within the pharmaceutical arena). Socialdepartementet (Swedish Ministry of Health and Social Affairs), http://www.regeringen.se/sb/d/108/a/38890 2004-07-01

  2. Bergendal L, Friberg A, Schaffrath A (1995) Potential drug-drug interactions in 5,125 mostly elderly out-patients in Gothenburg, Sweden. Pharm World Sci 17:152–157

    Article  PubMed  CAS  Google Scholar 

  3. Bjerrum L, Andersen M, Petersen G, Kragstrup J (2003) Exposure to potential drug interactions in primary health care. Scand J Prim Health Care 21:153–158

    Article  PubMed  Google Scholar 

  4. Bjorkman IK, Fastbom J, Schmidt IK, Bernsten CB (2002) Drug-drug interactions in the elderly. Ann Pharmacother 36:1675–1681

    Article  PubMed  CAS  Google Scholar 

  5. Boethius G, Wiman F (1977) Recording of drug prescriptions in the county of Jamtland, Sweden. I. Methodological aspects. Eur J Clin Pharmacol 12:31–35

    Article  PubMed  CAS  Google Scholar 

  6. Cadieux RJ (1989) Drug interactions in the elderly. How multiple drug use increases risk exponentially. Postgrad Med 86:179–186

    PubMed  CAS  Google Scholar 

  7. Chen YF, Avery AJ, Neil KE, Johnson C, Dewey ME, Stockley IH (2005) Incidence and possible causes of prescribing potentially hazardous/contraindicated drug combinations in general practice. Drug Saf 28:67–80

    Article  PubMed  Google Scholar 

  8. Costa AJ (1991) Potential drug interactions in an ambulatory geriatric population. Fam Pract 8:234–236

    Article  PubMed  CAS  Google Scholar 

  9. Doucet J, Chassagne P, Trivalle C, Landrin I, Pauty MD, Kadri N, Menard JF, Bercoff E (1996) Drug-drug interactions related to hospital admissions in older adults: a prospective study of 1000 patients. J Am Geriatr Soc 44:944–948

    PubMed  CAS  Google Scholar 

  10. Egger SS, Drewe J, Schlienger RG (2003) Potential drug-drug interactions in the medication of medical patients at hospital discharge. Eur J Clin Pharmacol 58:773–778

    PubMed  Google Scholar 

  11. Goldberg RM, Mabee J, Chan L, Wong S (1996) Drug-drug and drug-disease interactions in the ED: analysis of a high-risk population. Am J Emerg Med 14:447–450

    Article  PubMed  CAS  Google Scholar 

  12. Gugler R, Allgayer H (1990) Effects of antacids on the clinical pharmacokinetics of drugs. An update. Clin Pharmacokinet 18:210–219

    Article  PubMed  CAS  Google Scholar 

  13. Hansten PD (2003) Drug interaction management. Pharm World Sci 25:94–97

    Article  PubMed  Google Scholar 

  14. Hardman JG, Limbird LE (2001) Goodman&Gilman’s The Pharmacological Basis of Therapeutics 10th International edn. McGraw-Hill Professional, New York, pp 54–56

    Google Scholar 

  15. Haumschild MJ, Ward ES, Bishop JM, Haumschild MS (1987) Pharmacy-based computer system for monitoring and reporting drug interactions. Am J Hosp Pharm 44:345–348

    PubMed  CAS  Google Scholar 

  16. Henry D, Dobson A, Turner C (1993) Variability in the risk of major gastrointestinal complications from nonaspirin nonsteroidal anti-inflammatory drugs. Gastroenterology 105:1078–1088

    PubMed  CAS  Google Scholar 

  17. Jankel CA, Fitterman LK (1993) Epidemiology of drug-drug interactions as a cause of hospital admissions. Drug Saf 9:51–59

    Article  PubMed  CAS  Google Scholar 

  18. Juurlink DN, Mamdani M, Kopp A, Laupacis A, Redelmeier DA (2003) Drug-drug interactions among elderly patients hospitalized for drug toxicity. Jama 289:1652–1658

    Article  PubMed  CAS  Google Scholar 

  19. Koch-Weser J, Greenblatt DJ (1977) Drug interactions in clinical perspective. Eur J Clin Pharmacol 11:405–408

    Article  PubMed  CAS  Google Scholar 

  20. Kohler GI, Bode-Boger SM, Busse R, Hoopmann M, Welte T, Boger RH (2000) Drug-drug interactions in medical patients: effects of in-hospital treatment and relation to multiple drug use. Int J Clin Pharmacol Ther 38:504–513

    PubMed  CAS  Google Scholar 

  21. Kurfees JF, Dotson RL (1987) Drug interactions in the elderly. J Fam Pract 25:477–488

    PubMed  CAS  Google Scholar 

  22. Linnarsson R (1993) Drug interactions in primary health care. A retrospective database study and its implications for the design of a computerized decision support system. Scand J Prim Health Care 11:181–186

    Article  PubMed  CAS  Google Scholar 

  23. Lipton HL, Bero LA, Bird JA, McPhee SJ (1992) The impact of clinical pharmacists′ consultations on physicians’ geriatric drug prescribing. A randomized controlled trial. Med Care 30:646–658

    Article  PubMed  CAS  Google Scholar 

  24. Manchon ND, Bercoff E, Lemarchand P, Chassagne P, Senant J, Bourreille J (1989) [Incidence and severity of drug interactions in the elderly: a prospective study of 639 patients]. Rev Med Interne 10:521–525

    Article  PubMed  CAS  Google Scholar 

  25. Merlo J, Liedholm H, Lindblad U, Bjorck-Linne A, Falt J, Lindberg G, Melander A (2001) Prescriptions with potential drug interactions dispensed at Swedish pharmacies in January 1999: cross sectional study. Bmj 323:427–428

    Article  PubMed  CAS  Google Scholar 

  26. Molden E, Garcia BH, Braathen P, Eggen AE (2005) Co-prescription of cytochrome P450 2D6/3A4 inhibitor-substrate pairs in clinical practice. A retrospective analysis of data from Norwegian primary pharmacies. Eur J Clin Pharmacol 61:119–125

    Article  PubMed  CAS  Google Scholar 

  27. Morera T, Gervasini G, Carrillo JA, Benitez J (2004) Early detection of drug interactions utilizing a computerized drug prescription handling system-focus on cerivastatin-gemfibrozil. Eur J Clin Pharmacol 59:917–921

    Article  PubMed  CAS  Google Scholar 

  28. Morera T, Gervasini G, Carrillo JA, Benitez J (2004) Using a computerized drug prescription screening system to trace drug interactions in an outpatient setting. Ann Pharmacother 38:1301–1306

    Article  PubMed  Google Scholar 

  29. Quinn D (1997) Clinically Important Drug Interactions. In: Speight TM, Holford N.H. (ed) Avery’s Drug Treatment, 4th edn. ADIS International, Auckland, Philadelphia, pp 301–328

  30. Rosholm JU, Bjerrum L, Hallas J, Worm J, Gram LF (1998) Polypharmacy and the risk of drug-drug interactions among Danish elderly. A prescription database study. Dan Med Bull 45:210–213

    PubMed  CAS  Google Scholar 

  31. Rothman KJ (1986) Modern Epidemiology. Little, Brown, Boston, Toronto, p 37

    Google Scholar 

  32. Rupp MT, DeYoung M, Schondelmeyer SW (1992) Prescribing problems and pharmacist interventions in community practice. Med Care 30:926–940

    Article  PubMed  CAS  Google Scholar 

  33. Seymour RM, Routledge PA (1998) Important drug-drug interactions in the elderly. Drugs Aging 12:485–494

    Article  PubMed  CAS  Google Scholar 

  34. Sjöqvist F (1997) Fundamentals of Clinical Pharmacology. In: Speight TM, Holford N.H. (ed) Avery’s Drug treatment, 4th edn. ADIS International, Auckland, Philadelphia, pp 52–53

    Google Scholar 

  35. Sjöqvist F (1997) A new classification system of drug interactions. Eur J Clin Pharmacol 52 (suppl.) Abstract 377

    Google Scholar 

  36. Stockley IH (2002) Stockley’s Drug Interactions, 6 edn. The Pharmaceutical Press, London, p 1

    Google Scholar 

  37. Strom BL (1994) Adverse reactions to over-the-counter analgesics taken for therapeutic purposes. Jama 272:1866–1867

    Article  PubMed  CAS  Google Scholar 

  38. Tatro DS, Olin BR (1992) Drug Interaction Facts. Facts and Comparisons, 3rd edn. Lippincott, St Louis

  39. W.H.O. ATC Index. W.H.O. (2005) Collaborating Centre for Drug Statistics Methodology, http://www.whocc.no/atcddd/ 07–20

  40. Vestal RE, Norris AH, Tobin JD, Cohen BH, Shock NW, Andres R (1975) Antipyrine metabolism in man: influence of age, alcohol, caffeine, and smoking. Clin Pharmacol Ther 18:425–432

    PubMed  CAS  Google Scholar 

  41. Whitcomb DC, Block GD (1994) Association of acetaminophen hepatotoxicity with fasting and ethanol use. Jama 272:1845–1850

    Article  PubMed  CAS  Google Scholar 

  42. Zhan C, Correa-de-Araujo R, Bierman AS, Sangl J, Miller MR, Wickizer SW, Stryer D (2005) Suboptimal prescribing in elderly outpatients: potentially harmful drug-drug and drug-disease combinations. J Am Geriatr Soc 53:262–267

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We are indebted to Sten-Erik Öhlund for developing the interaction detection software, to Mats Nordlöf for construction of Figs. 1 and 2 and to Apoteket AB for providing the crude data from the Jämtland study. The study was supported financially by Apoteket AB, including support to the E-Health Institute.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bengt Åstrand.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Åstrand, B., Åstrand, E., Antonov, K. et al. Detection of potential drug interactions – a model for a national pharmacy register. Eur J Clin Pharmacol 62, 749–756 (2006). https://doi.org/10.1007/s00228-006-0143-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00228-006-0143-x

Keywords

Navigation