Recently a group of novel antipsychotic medications has become or are expected shortly to become available for the treatment of schizophrenia (risperidone, olanzapine, sertindole, quetiapine). Although their efficacy compared to placebo are established, the degree of benefit of these agents to patients in actual clinical practice relative to the older medications remains uncertain. In efficacy trials which have employed an active comparator in addition to or instead of placebo, the relative outcomes of these agents have been compared almost exclusively to a single agent, haloperidol. These data leave unanswered the question of pivotal importance to patients, families, and clinicians: how will the average patient benefit on one of the newer agents compared to the best choice among typical drugs based on each patient's individual previous treatment history and current clinical status? The relative cost of treatment associated with these agents also remains uncertain. It is often argued that the newer drugs will reduce hospitalization and other service utilization and that the reduced costs of service will offset the greater medication expense. The extent to which these cost savings are actually realized in practice, however, has not yet been demonstrated. This is a question of interest not only to patients, families, and clinicians but also to health care administrators, taxpayers, and formulary committees. The present proposal has two specific aims: to determine (1) the relative clinical outcome consequences and (2) the relative cost of treatment consequences of a decision to prescribe one of newer atypical antipsychotic medications vs traditional typical antipsychotic medications. These questions will be addressed using an effectiveness trial, a prospective clinical trial utilizing random assignment to open label alternatives. Patients randomized to atypical (n=200) or typical (n=200) medication classes will choose specific medications from within their assigned class. Benefit and cost outcomes will be assessed comprehensively over a one year follow-up. Eligible patients will be selected from among the group of patients acutely hospitalized for schizophrenic relapse in a state mental health care system.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH057292-02
Application #
2675666
Study Section
Services Research Review Committee (SER)
Project Start
1997-09-15
Project End
2001-04-30
Budget Start
1998-05-15
Budget End
1999-04-30
Support Year
2
Fiscal Year
1998
Total Cost
Indirect Cost
Name
Yale University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
082359691
City
New Haven
State
CT
Country
United States
Zip Code
06520
Woods, Scott W; Gueorguieva, Ralitza V; Baker, C Bruce et al. (2005) Control group bias in randomized atypical antipsychotic medication trials for schizophrenia. Arch Gen Psychiatry 62:961-70
Woods, S W; Stolar, M; Sernyak, M J et al. (2001) Consistency of atypical antipsychotic superiority to placebo in recent clinical trials. Biol Psychiatry 49:64-70
Woods, S W; Ziedonis, D M; Sernyak, M J et al. (2000) Characteristics of participants and nonparticipants in medication trials for treatment of schizophrenia. Psychiatr Serv 51:79-84