期刊
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
卷 23, 期 6, 页码 628-635出版社
WILEY
DOI: 10.1002/pds.3609
关键词
antipsychotic polypharmacy; administrative data; sensitivity; positive predictive value; Medicaid; pharmacoepidemiology
资金
- AHRQ HHS [U19 HS021112] Funding Source: Medline
- NIMH NIH HHS [P30 MH090322] Funding Source: Medline
PurposeGiven the metabolic and neurologic side effects of antipsychotics and concerns about the increased risks associated with concomitant use, antipsychotic polypharmacy is a quality concern. This study assessed the operating characteristics of a Medicaid claims-based measure of antipsychotic polypharmacy. MethodsA random sample from 10 public mental health clinics and 312 patients met criteria for this study. Medical record extractors were blind to measure status. We examined the prevalence, sensitivity, specificity, and positive predictive value (PPV) in Medicaid claims, testing nine different definitions of antipsychotic polypharmacy, including >14, >60, or >90days concurrent use of 2 antipsychotic agents, each with allowable gaps of up to 0, 14, or 32days in days' supply of antipsychotic medications. ResultsAll Medicaid claims measure definitions tested had excellent specificity and PPV (>91%). Good to excellent sensitivity was dependent upon use of a 32-day gap allowance, particularly as duration of concurrent antipsychotic use increased. The proposed claims-based measure (90-day concurrent use of 2 or more antipsychotics, allowing for a 32-day gap) had excellent specificity (99.1%, 95%CI: 98.2-99.6) and PPV (90.9%, 95%CI: 83.1-95.7) with good sensitivity (79.4%, 95%CI: 70.4-86.6). The overall level of concordance between claims and medical record-based categorization of antipsychotic polypharmacy was high (96.4%, n=301/312 clients, Cohen's K=84.7, 95%CI: 75.9-93.5). Discrepant cases were reviewed, and implications are discussed. ConclusionsAdministrative claims data can be used to construct valid measures of antipsychotic polypharmacy. Copyright (c) 2014 John Wiley & Sons, Ltd.
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