Prevalence and correlates of antipsychotic polypharmacy: A systematic review and meta-regression of global and regional trends from the 1970s to 2009
ABSTRACT To assess the prevalence and correlates of antipsychotic polypharmacy (APP) across decades and regions.
Electronic PubMed/Google Scholar search for studies reporting on APP, published from 1970 to 05/2009. Median rates and interquartile ranges (IQR) were calculated and compared using non-parametric tests. Demographic and clinical variables were tested as correlates of APP in bivariate and meta-regression analyses.
Across 147 studies (1,418,163 participants, 82.9% diagnosed with schizophrenia [IQR=42-100%]), the median APP rate was 19.6% (IQR=12.9-35.0%). Most common combinations included first-generation antipsychotics (FGAs)+second-generation antipsychotics (SGAs) (42.4%, IQR=0.0-71.4%) followed by FGAs+FGAs (19.6%, IQR=0.0-100%) and SGAs+SGAs (1.8%, IQR=0.0-28%). APP rates were not different between decades (1970-1979:28.8%, IQR=7.5-44%; 1980-1989:17.6%, IQR=10.8-38.2; 1990-1999:22.0%, IQR=11-40; 2000-2009:19.2% IQR=14.4-29.9, p=0.78), but between regions, being higher in Asia and Europe than North America, and in Asia than Oceania (p<0.001). APP increased numerically by 34% in North America from the 1980s 12.7%) to 2000s (17.0%) (p=0.94) and decreased significantly by 65% from 1980 (55.5%) to 2000 (19.2%) in Asia (p=0.03), with non-significant changes in Europe. APP was associated with inpatient status (p<0.001), use of FGAs (p<0.0001) and anticholinergics (<0.001), schizophrenia (p=0.01), less antidepressant use (p=0.02), greater LAIs use (p=0.04), shorter follow-up (p=0.001) and cross-sectional vs. longitudinal study design (p=0.03). In a meta-regression, inpatient status (p<0.0001), FGA use (0.046), and schizophrenia diagnosis (p=0.004) independently predicted APP (N=66, R(2)=0.44, p<0.0001).
APP is common with different rates and time trends by region over the last four decades. APP is associated with greater anticholinergic requirement, shorter observation time, greater illness severity and lower antidepressant use.
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ABSTRACT: Background The objective of this study was to characterize real-world treatment patterns in the prescription of antipsychotic polypharmacy (¿2 concurrent antipsychotics) compared with antipsychotic monotherapy for patients with schizophrenia.Methods This study was a retrospective claims-based analysis of patients (aged 13¿64 years) with schizophrenia belonging to an employer-based health plan. Duration of therapy was measured as the number of treatment days over one year following the initial date of antipsychotic therapy. Discontinuation was defined as a 90-day gap in antipsychotic treatment (or in at least one antipsychotic for the polypharmacy group). Logistic regression analyses were used to predict discontinuation within one year. Ordinary Least Squares (OLS) regressions were used to predict duration of therapy (by type of therapy) when controlling for gender, region, number of somatic and psychiatric comorbidities, Deyo-Charlson comorbidity score, and number of psychiatric and somatic medications.ResultsOf the 4,156 patients, 3,188 received monotherapy and 968 received polypharmacy. Mean age was 40 years (37.8 years for polypharmacy vs 40.3 years for monotherapy, p¿<¿0.001). Within one year, 77% of the polypharmacy group and 54% of the monotherapy group discontinued treatment. The average duration of therapy was 163 [SD¿=¿143] days in the polypharmacy group vs 253 [SD¿=¿147] days in the monotherapy group. In both cohorts, patients <25 years had a higher frequency of discontinuations than those ¿26 years. Age and polypharmacy were independent predictors of treatment duration and discontinuation prior to one year.Conclusions One quarter of patients with schizophrenia received antipsychotic polypharmacy. Discontinuation was higher in the polypharmacy group. Age and polypharmacy were significant predictors of treatment discontinuation.BMC Psychiatry 11/2014; 14(1):341. DOI:10.1186/s12888-014-0341-5 · 2.24 Impact Factor
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ABSTRACT: Medicines are a major treatment modality for many mental illnesses, and with the growing burden of mental disorders worldwide pharmacists are ideally positioned to play a greater role in supporting people with a mental illness. This narrative review aims to describe the evidence for pharmacist-delivered services in mental health care and address the barriers and facilitators to increasing the uptake of pharmacist services as part of the broader mental health care team. This narrative review is divided into three main sections: (1) the role of the pharmacist in mental health care in multidisciplinary teams and in supporting early detection of mental illness; (2) the pharmacists' role in supporting quality use of medicines in medication review, strategies to improve medication adherence and antipsychotic polypharmacy, and shared decision making; and (3) barriers and facilitators to the implementation of mental health pharmacy services with a focus on organizational culture and mental health stigma. In the first section, the review presents new roles for pharmacists within multidisciplinary teams, such as in case conferencing or collaborative drug therapy management; and new roles that would benefit from increased pharmacist involvement, such as the early detection of mental health conditions, development of care plans and follow up of people with mental health problems. The second section describes the impact of medication review services and other pharmacist-led interventions designed to reduce inappropriate use of psychotropic medicines and improve medication adherence. Other new potential roles discussed include the management of antipsychotic polypharmacy and involvement in patient-centered care. Finally, barriers related to pharmacists' attitudes, stigma and skills in the care of patients with mental health problems and barriers affecting pharmacist-physician collaboration are described, along with strategies to reduce mental health stigma.International Journal of Environmental Research and Public Health 10/2014; 11(10):10967-10990. DOI:10.3390/ijerph111010967 · 1.99 Impact Factor
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