Prescription drug expenditures and population demographics

Health Serv Res. 2006 Apr;41(2):411-28. doi: 10.1111/j.1475-6773.2005.00495.x.

Abstract

Objective: To provide detailed demographic profiles of prescription drug utilization and expenditures in order to isolate the impact of demographic change from other factors that affect drug expenditure trends.

Data sources/study setting: Demographic information and drug utilization data were extracted for virtually the entire British Columbia (BC) population of 1996 and 2002. All residents had public medical and hospital insurance; however their drug coverage resembled the mix of private and public insurance in the United States.

Study design: A series of research variables were constructed to illustrate profiles of drug expenditures and drug utilization across 96 age/sex strata.

Data collection/extraction methods: Drug use and expenditure information was extracted from the BC PharmaNet, a computer network connecting all pharmacies in the province.

Principal findings: Per capita drug expenditures increased at an average annual rate of 10.8 percent between 1996 and 2002. Population aging explained 1.0 points of this annual rate of expenditure growth; the balance was attributable to rising age/sex-specific drug expenditures.

Conclusions: Relatively little of the observed increase in drug expenditures in BC could be attributed to demographic change. Most of the expenditure increase stemmed from the age/sex-specific quantity and type of drugs purchased. The sustainability of drug spending therefore depends not on outside forces but on decisions made by policy makers, prescribers, and patients.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Child
  • Child, Preschool
  • Cohort Studies
  • Demography*
  • Drug Utilization
  • Fees, Pharmaceutical / statistics & numerical data*
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Middle Aged
  • Prescription Fees / statistics & numerical data
  • Sex Factors