Prescription duration after drug copay changes in older people: methodological aspects.
OBJECTIVE
Impact assessment of drug benefits policies is a growing field of research that is increasingly relevant to health care planning for older people. Some cost-containment policies are thought to increase noncompliance. This paper examines mechanisms that can produce spurious reductions in drug utilization measures after drug policy changes when relying on pharmacy dispensing data. Reference pricing, a copayment for expensive medications above a fixed limit, for angiotensin-converting enzyme(ACE) inhibitors in older British Columbia residents, is used as a case example.


METHODS
Time series of 36 months of individual claims data. Longitudinal data analysis, adjusting for autoregressive data.


METHODS
Pharmacare, the drug benefits program covering all patients aged 65 and older in the province of British Columbia, Canada.


METHODS
All noninstitutionalized Pharmacare beneficiaries aged 65 and older who used ACE inhibitors between 1995 and 1997 (N = 119,074).


METHODS
The introduction of reference drug pricing for ACE inhibitors for patients aged 65 and older.


METHODS
Timing and quantity of drug use from a claims database.


RESULTS
We observed a transitional sharp decline of 110% t a standard error of 30% (P = .02) in the overall utilization rate of all ACE inhibitors after the policy implementation; five months later, utilization rates had increased, but remained under the predicted prepolicy trend. Coinciding with the sharp decrease, we observed a reduction in prescription duration by 31% in patients switching to no-cost drugs. This reduction may be attributed to increased monitoring for intolerance or treatment failure in switchers, which in turn led to a spurious reduction in total drug utilization. We ruled out the extension of medication use over the prescribed duration through reduced daily doses (prescription stretching) by a quantity-adjusted analysis of prescription duration.


CONCLUSIONS
The analysis of prescription duration after drug policy interventions may provide alternative explanations to apparent short-term reductions in drug utilization and adds important insights to time trend analyses of drug utilization data in the evaluation of drug benefit policy changes.
Schneeweiss
Sebastian
S
Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Ave., Boston, MA 02115, USA. schneeweiss@post.harvard.edu
Maclure
Malcolm
M
Soumerai
Stephen B
SB
D000367:Age Factors; D000368:Aged; D001955:British Columbia; D011307:Drug Prescriptions / Q000706:statistics & numerical data*; D006801:Humans; D007356:Insurance, Pharmaceutical Services / Q000706:statistics & numerical data*; D008137:Longitudinal Studies; D013997:Time Factors