Physicians' and pharmacies' overview of patients' medication. An analysis of fidelity coefficients

Eur J Clin Pharmacol. 2011 Sep;67(9):919-24. doi: 10.1007/s00228-011-1026-3. Epub 2011 Mar 12.


Background: It is essential that pharmacies and prescribers have an overview of each patient's medication in order to prevent drug interactions, unintentional co-prescribing, unnecessary polypharmacy and underprescribing. We have assessed this overview by measuring the 'fidelity coefficient', a measure of the extent to which a drug user has a preference for one prescriber or one pharmacy.

Methods and setting: Data for all prescriptions issued for the population in Southern Denmark (population 1.2 million) in 2009 was extracted from the Odense University Pharmacoepidemiological Database (OPED). Analysis of the extracted data was then limited to persons with at least ten prescriptions within the year, resulting in 8,246,064 prescriptions issued to 283,388 individuals. For each individual, we identified the most used prescriber and calculated the proportion of all prescriptions accounted for by that prescriber (FC(presc)). The individual user's most frequented pharmacy was also identified and the FC(pharm) calculated in a similar fashion.

Results: The average FC(Presc) and average FC(Pharm) were 0.883 (standard deviation 0.158) and 0.927 (0.139), respectively. The estimated difference was 0.0446 (95% confidence interval 0.0439-0.0453). Among the factors associated with a high FC(presc) and high FC(pharm) were older age, male gender and a high volume of prescriptions. The major drug classes that were most often prescribed by a non-main prescriber were beta-lactams, antidepressants and opioids. Similarly, the major drug classes associated with use of non-main pharmacy were beta-lactams, antidepressants and inhaled beta-agonists.

Conclusion: Based on this analysis, both prescribers and pharmacies generally have an equal potential for maintaining an excellent overview of their patients' medication, but the pharmacies account for a slightly higher proportion of patients.

MeSH terms

  • Community Pharmacy Services / standards
  • Community Pharmacy Services / statistics & numerical data*
  • Data Interpretation, Statistical
  • Databases, Factual
  • Denmark
  • Drug Interactions*
  • Drug Prescriptions / standards
  • Drug Prescriptions / statistics & numerical data*
  • Drug Utilization Review*
  • Female
  • Humans
  • Male
  • Polypharmacy
  • Practice Patterns, Physicians'*
  • Prescription Drugs / classification


  • Prescription Drugs