This observational study takes advantage of a natural experiment and comprehensive health care data in the province of British Columbia to examine the effects, intended and unintended, of a policy of differential cost-sharing (reference pricing) for prescription drugs implemented on Jan 1, 1997. Two classes of drugs, ACE inhibitors (ACEIs) and calcium-channel blockers (CCBs), are studied. Outcomes include utilization of several categories of health care, total costs of care, and adverse outcomes (cardiovascular disease hospitalizations and mortality). The underlying study population includes approximately 445,000 persons aged 65 years of age and over on Jan 1 1995. Of these, about 160,000 appear to have received one of the cost-sharing drugs during the baseline period and would therefore be included in the analyses. Interrupted time-series analyses are proposed to control for secular trends in utilization and event rates among persons. Three control groups will also be studied: historical controls (persons using the same drugs, but identified and followed beginning one year earlier); concurrent controls on a non-cost-sharing drug (diltiazem); and external controls, drawn from users of the same cost-sharing drugs but from another province, Ontario, where cost-sharing was not introduced. Primary analyses are conducted for the entire population of users of these medications. For several policy-related reasons, relatively small fractions of these patients (slightly less than 25%) appear to have switched to low cost alternative ACEIs or CCBs or to have stopped their previously used medications altogether. Thus, effects on utilization or increasing rates of adverse events may be difficult to detect in the entire population. Secondary analyses are therefore proposed that will compare post-implementation rates in """"""""switchers"""""""" versus """"""""non-switchers"""""""". The investigators recognize that these secondary analyses introduce the strong likelihood of confounding by indication (switchers are very likely to differ in risk from non-switchers) and they propose to use comorbidity adjusters (a pharmacy-based chronic disease score, and a diagnosis-based casemix adjustment measure), and multiple patient and physician characteristics. These confounders will be adjusted for using a propensity score (propensity to switch or stop the cost-sharing drug). Additional analyses will examine possible changes in prescribing patterns for persons initiating ACEI or CCB treatment.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Research Project (R01)
Project #
5R01HS010881-03
Application #
6528237
Study Section
Health Care Quality and Effectiveness Research (HQER)
Program Officer
Chiang, Yen-Pin
Project Start
2000-09-30
Project End
2003-02-28
Budget Start
2002-09-01
Budget End
2003-02-28
Support Year
3
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02115
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Schneeweiss, Sebastian; Setoguchi, Soko; Brookhart, M Alan et al. (2009) Assessing residual confounding of the association between antipsychotic medications and risk of death using survey data. CNS Drugs 23:171-80
Dormuth, Colin R; Neumann, Peter; Maclure, Malcolm et al. (2009) Effects of prescription coinsurance and income-based deductibles on net health plan spending for older users of inhaled medications. Med Care 47:508-16
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Dormuth, Colin R; Maclure, Malcolm; Glynn, Robert J et al. (2008) Emergency hospital admissions after income-based deductibles and prescription copayments in older users of inhaled medications. Clin Ther 30 Spec No:1038-50
Wang, Philip S; Patrick, Amanda R; Dormuth, Colin R et al. (2008) The impact of cost sharing on antidepressant use among older adults in British Columbia. Psychiatr Serv 59:377-83
Schneeweiss, Sebastian (2007) Reference drug programs: effectiveness and policy implications. Health Policy 81:17-28
Schneeweiss, Sebastian (2007) Understanding secondary databases: a commentary on ""Sources of bias for health state characteristics in secondary databases"". J Clin Epidemiol 60:648-50

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