Booming prescription drug expenditure: a population-based analysis of age dynamics.
BACKGROUND
Prescription drug expenditures in North America have nearly doubled in the past 5 years, creating intense pressure for all public and private benefits managers and policymakers.


OBJECTIVE
The objective of this study was to describe age-specific drug expenditure trends from 1996 to 2002 for the Canadian province of British Columbia.


METHODS
This study shows changes in expenditures per capita quantified for 5 age categories: residents aged 0 to 19, 20 to 44, 45 to 64, 65 to 84, and 85 and older. The cost impacts of 7 determinants of prescription drug expenditures are quantified.


METHODS
This study describes population-based, patient-specific pharmaceutical data showing the type, quantity, and cost of every prescription drug purchased by virtually all residents of British Columbia.


RESULTS
Population-wide expenditures per capita grew at a rate of 11.6% per annum. Growth was primarily driven by the selection of more costly drugs per course of treatment and increases in the number concomitant treatments received per patient. Population aging did not have a major impact on expenditures. However, expenditure per capita grew most rapid among residents aged 45 to 64, the cohort that expended most over the period. The aging of this demographic cohort may threaten the financial viability of age-based drug benefit programs.
Morgan
Steven G
SG
Centre for Health Services and Policy Research, Department of Health Care and Epidemiology, University of British Columbia, Vancouver, British Columbia, Canada. morgan@chspr.ubc.ca
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001955:British Columbia; D002648:Child; D002675:Child, Preschool; D016208:Databases, Factual; D016527:Drug Costs / Q000706:statistics & numerical data / Q000639:trends*; D004363:Drug Utilization / Q000191:economics* / Q000706:statistics & numerical data / Q000639:trends; D005382:Financing, Personal / Q000706:statistics & numerical data / Q000639:trends; D005102:Health Expenditures / Q000706:statistics & numerical data / Q000639:trends*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008875:Middle Aged; D011157:Population Dynamics; D011306:Prescription Fees / Q000706:statistics & numerical data / Q000639:trends*