Adding or switching antipsychotic medications in treatment-refractory schizophrenia

DRD4 VNTR 4/4 homozygosity as a genetic biomarker for treatment selection in patients with schizophrenia

OBJECTIVE

There seems to be an association between the DRD4 48-bp VNTR polymorphisms and antipsychotic treatment response, but there is a rare reference to confirm this finding. Hence, the present study tried to investigate the association between DRD4 48-bp VNTR polymorphisms and the treatment response of antipsychotics in patients with schizophrenia in Taiwan, using a propensity score matching (PSM) method.

METHODS

A total of 882 participants were enrolled in this study and completed informed consent, research questionnaires, including demographic information and the revised Chinese version Beliefs about Voices Questionnaire, and blood sampling. For descreasing of the selection bias and confounding variables, the PSM nearest neighbor matching method was used to select 765 paitents with schizophrenia (ratio of 1:8 between 85 persistent auditory hallucination and 680 controls) with matched and controlled the age and gender.

RESULTS

Schizophrenia patients with DRD4 4 R homozygosity had a lower rate of good antipsychotic treatment response than the other DRD4 genotype carriers (DRD4 non-4/4). Among those 4 R homozygosity carriers, 60 cases of 503 (11.9%) retain persistent auditory hallucinations. Furthermore, this subgroup of patients is accounted for up to 70.6% of cases with poor neuroleptic treatment response.

CONCLUSIONS

A poor treatment outcome for patients with the 4 R homozygosity had presented,that comparing with those DRD non-4/4 genotype carriers. DRD4 VNTR 4 R homozygosity could be a genetic biomarker to predict poor antipsychotic treatment response in schizophrenia. Patients with DRD 4/4 probably receive novel antipsychotic medications preferentially or in combination with alternative therapy, such as psychotherapy or milieu therapy.

Nationwide study on antipsychotic polypharmacy among forensic psychiatric patients

This nationwide retrospective cross-sectional study examines the prevalence of antipsychotic polypharmacy (APP) and demographic, forensic, and clinical factors associated with its practice among Greenlandic forensic psychiatric patients. We collected data from electronic patient files, court documents, and forensic psychiatric assessments. We defined APP as two or more concurrent prescriptions of antipsychotic medication. The study population of 74 patients had a mean age of 41.4 years, and 61 were men. All included patients had either schizophrenia or another ICD-10 F2-diagnosis. We used unpaired t-tests and Chi² or Fisher's exact test. The prevalence of APP was 35% (n = 26), and there was a significant association between APP and a prescription of clozapine (Chi², p = 0.010), olanzapine (Fisher's test, p = 0.003), and aripiprazole (Fisher's test, p = 0.013). Furthermore, we found a significant association between APP and prescription of a first-generation antipsychotic (FGA) (Chi², p = 0.011). Despite recommendations in guidelines, the use of APP is common practice. The majority of forensic psychiatric patients suffer from severe psychiatric disorders, often with other comorbidities, including substance use disorder. The severity and complexity in mental health render forensic psychiatric patients at high risk of APP treatment. Further knowledge on APP use is crucial to secure and further improve the psychopharmacological treatment for this group of patients.

Predictors of admission to an assertive outreach service for psychosis in Lebanon

Schizophrenia is a chronic, debilitating mental illness that contributes significantly to the global burden of disease. Assertive outreach treatment for patients with schizophrenia and psychotic disorders has been implemented to improve treatment adherence and outcomes. The suitability of this model of care outside the western context has not been fully established. We describe the characteristics of 45 patients enrolled in the Psychosis Recovery Outreach Program (PROP), a program developed at a leading psychiatric facility in Lebanon. We collected twelve-month data for patients and used logistic regression models to identify predictor variables for enrollment in the service compared to those receiving standard treatment. Patients were mostly males (77.8%), younger than 39 years (80%), of college or higher education (68.2%), and diagnosed with schizophrenia (46.7%) or schizoaffective disorder (48.9%). About one-quarter (22.7%) had a comorbid cannabis use disorder. A majority received more than one oral antipsychotic (75.6%) while half (51.1%) were maintained on a long-acting injectable (LAI) antipsychotic. The following variables were significant predictors of enrollment in PROP: having a comorbid cannabis use disorder (OR 2.83 [1.25 - 6.37]), being prescribed a LAI antipsychotic (OR 9.99 [4.93-20.24]) or more than one oral antipsychotic (OR 4.57 [2.22-9.39]), visiting the emergency department more than once (OR 8.7 [2.64-28.68]), and admission to the psychiatry unit (OR 13.91 [3.17-60.94]). In addition, those following up in PROP were younger and less likely to be in the oldest age group (over 54 years) [OR 0.11 (0.01-0.93)], less likely to be females (OR 0.39 [0.18-0.81]), and less likely to be diagnosed with "other psychotic disorder" as compared to schizophrenia (OR 0.14 [0.03 - 0.62]). Our findings highlight that the assertive outreach model of care is applicable to its target population in the context of psychiatric care in Lebanon, namely young individuals with psychosis, higher comorbidities and a severe course of illness.

Switching Between Second-Generation Antipsychotics in Patients with Schizophrenia and Schizoaffective Disorder: 10-Year Cohort Study in Brazil

Objective: Switching between second-generation antipsychotics (SGAs) is a common clinical practice in the treatment of schizophrenia and schizoaffective disorders due to differences in the drugs’ tolerability and safety profiles as well as the challenge of obtaining an ideal response. However, the factors associated with SGA switching remain uncertain and related real-world data are scarce. The main objective was to identify the factors associated with the switching of SGAs in patients with schizophrenia or schizoaffective disorder.

Methods: We conducted a retrospective cohort study of outpatients with schizophrenia or schizoaffective disorder, who were aged ≥18 years and received a SGA (clozapine, olanzapine, risperidone, quetiapine or ziprasidone) from a Brazilian pharmaceutical assistance program for at least 3 months. We identified SGA users from 2008 to 2017 by using a national administrative database (Ambulatory Information System-SIA/SUS). The factors associated with the switches were evaluated by Cox proportional hazards regression and adjusted for sex and age; the confidence interval was set at 95% (95% CI).

Results: In total, 563,765 patients were included. Female sex, advanced age of ≥70 years, residence in the Brazilian northeast region, and the type of antipsychotic used were associated with an increased risk of switching (p < 0.001). The incidence of switching ranged from 37.6/100 person-years for clozapine users to 58.2/100 person-years for risperidone users. Compared to the adjusted hazard ratio, for clozapine users, the corresponding ratios for risperidone, ziprasidone, quetiapine and olanzapine were 1.59 (95% CI, 1.57–1.61), 1.41 (95% CI, 1.39–1.44), 1.25 (95% CI, 1.23–1.26) and 1.11 (95% CI, 1.10–1.12) respectively.

Conclusion: The groups most susceptible to SGA switching in real-life setting were older individuals, women, and those living in the Brazilian northeast region. Risperidone was associated with the highest risk of switching and as expected, clozapine was associated with the lowest risk of switching than that associated with the other SGAs.

Significance and Factors Associated with Antipsychotic Polypharmacy Utilization Among Publicly Insured US Adults

Antipsychotic polypharmacy (APP) lacks evidence of effectiveness in the care of schizophrenia or other disorders for which antipsychotic drugs are indicated, also exposing patients to more risks. Authors assessed APP prevalence and APP association with beneficiary race/ethnicity and payer among publicly-insured adults regardless of diagnosis. Retrospective repeated panel study of fee-for-service (FFS) Medicare, Medicaid, and dually-eligible white, black, and Latino adults residing in California, Georgia, Iowa, Mississippi, Oklahoma, South Dakota, or West Virginia, filling antipsychotic prescriptions between July 2008 and June 2013. Primary outcome was any monthly APP utilization. Across states and payers, 11% to 21% of 397,533 antipsychotic users and 12% to 19% of 9,396,741 person-months had some APP utilization. Less than 50% of person-months had a schizophrenia diagnosis and up to 19% had no diagnosed mental illness. Payer modified race/ethnicity effects on APP utilization only in CA; however, the odds of APP utilization remained lower for minorities than for whites. Elsewhere, the odds varied by race/ethnicity only in OK, with Latinos having lower odds than whites (odds ratio 0.76; 95% confidence interval 0.60-0.96). The odds of APP utilization varied by payer in several study states, with odds generally higher for Dual eligibles, although the differences were generally small; the odds also varied by year (lower at study end). APP was frequently utilized but mostly declined over time. APP utilization patterns varied across states, with no consistent association with race/ethnicity and small payer effects. Greater use of APP-reducing strategies are needed, particularly among non-schizophrenia populations.

Does antipsychotic combination therapy reduce the risk of hospitalization in schizophrenia?

INTRODUCTION

: Despite treatment with antipsychotic medication, approximately 1/3 of individuals with schizophrenia will fail to have an adequate response. To treat these patients, a commonly utilized approach is antipsychotic combination therapy. Antipsychotic combination therapy is controversial with mixed efficacy and tolerability results. It is also unclear if antipsychotic combination therapy reduces or increases the risk of psychiatric hospitalization.

AREAS COVERED

: The authors review the prevalence, efficacy and tolerability concerns, and rationale behind antipsychotic combination therapy. Evidence comparing antipsychotic monotherapy vs polypharmacy using hospitalization as an outcome measure is summarized.

EXPERT OPINION

: Psychiatric rehospitalization is a useful measure of treatment effectiveness, incorporating aspects of treatment efficacy and tolerability. The evidence comparing the impact of antipsychotic monotherapy vs combination therapy on rehospitalization is mixed. Evidence is primarily retrospective in nature, and there is high heterogeneity between studies, which could partially explain the mixed results. There is likely a subset of patients for whom antipsychotic combination therapy reduces the risk of hospitalization greater than antipsychotic monotherapy. Patients should be treated individually taking into account their specific pattern of response.

Evidence-based guidelines for the pharmacological treatment of schizophrenia: Updated recommendations from the British Association for Psychopharmacology

These updated guidelines from the British Association for Psychopharmacology replace the original version published in 2011. They address the scope and targets of pharmacological treatment for schizophrenia. A consensus meeting was held in 2017, involving experts in schizophrenia and its treatment. They were asked to review key areas and consider the strength of the evidence on the risk-benefit balance of pharmacological interventions and the clinical implications, with an emphasis on meta-analyses, systematic reviews and randomised controlled trials where available, plus updates on current clinical practice. The guidelines cover the pharmacological management and treatment of schizophrenia across the various stages of the illness, including first-episode, relapse prevention, and illness that has proved refractory to standard treatment. It is hoped that the practice recommendations presented will support clinical decision making for practitioners, serve as a source of information for patients and carers, and inform quality improvement.

Antipsychotic Polypharmacy in Older Adult Asian Patients With Schizophrenia: Research on Asian Psychotropic Prescription Pattern

BACKGROUND AND OBJECTIVE

Antipsychotic polypharmacy (APP) is a controversial topic in the treatment of older adults with schizophrenia. The objective of this study was to examine the use of APP in older adult Asian patients with schizophrenia and its associated demographic and clinical factors.

METHODS

This study was based on the fourth survey of the consortium known as the Research on Asian Psychotropic Prescription Pattern for Antipsychotics. Fifteen Asian countries/territories participated in this survey, including Bangladesh, Mainland China, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, Myanmar, Pakistan, Singapore, Sri Lanka, Taiwan, Thailand, and Vietnam. Basic demographic and clinical characteristics were collected using a standardized data collection form.

RESULTS

Among the 879 older adults with schizophrenia included in the survey, the rate of APP was 40.5%. Multiple logistic regression analysis revealed that higher antipsychotic doses (P < .001, odds ratio [OR] = 1.003, 95% confidence interval [CI]: 1.002-1.003), longer duration of illness (P = .02, OR = 1.845, 95% CI: 1.087-3.132), and the prescription of anticholinergics (P < .001, OR = 1.871, 95% CI: 1.329-2.635), second-generation antipsychotics (P = .001, OR = 2.264, 95% CI: 1.453-3.529), and first-generation antipsychotics (P < .001, OR = 3.344, 95% CI: 2.307-4.847) were significantly associated with APP.

CONCLUSION

Antipsychotic polypharmacy was common in older adult Asian patients with schizophrenia. Compared to the results of previous surveys, the use of APP showed a declining trend over time. Considering the general poor health status of older patients with schizophrenia and their increased risk of drug-induced adverse events, the use of APP in this population needs careful consideration.

Comparative Effectiveness of Adjunctive Psychotropic Medications in Patients With Schizophrenia

IMPORTANCE

People with schizophrenia are commonly treated with psychotropic medications in addition to antipsychotics, but there is little evidence about the comparative effectiveness of these adjunctive treatment strategies.

OBJECTIVE

To study the comparative real-world effectiveness of adjunctive psychotropic treatments for patients with schizophrenia.

DESIGN, SETTING, AND PARTICIPANTS

This comparative effectiveness study used US national Medicaid data from January 1, 2001, to December 31, 2010, to examine the outcomes of initiating treatment with an antidepressant, a benzodiazepine, a mood stabilizer, or another antipsychotic among adult outpatients (aged 18-64 years) diagnosed with schizophrenia who were stably treated with a single antipsychotic. Data analysis was performed from January 1, 2017, to June 30, 2018. Multinomial logistic regression models were used to estimate propensity scores to balance covariates across the 4 medication groups. Weighted Cox proportional hazards regression models were used to compare treatment outcomes during 365 days on an intention-to-treat basis.

MAIN OUTCOMES AND MEASURES

Risk of hospitalization for a mental disorder (primary), emergency department (ED) visits for a mental disorder, and all-cause mortality.

RESULTS

The study cohort included 81 921 adult outpatients diagnosed with schizophrenia (mean [SD] age, 40.7 [12.4] years; 37 515 women [45.8%]) who were stably treated with a single antipsychotic and then initiated use of an antidepressant (n = 31 117), a benzodiazepine (n = 11 941), a mood stabilizer (n = 12 849), or another antipsychotic (n = 26 014) (reference treatment). Compared with initiating use of another antipsychotic, initiating use of an antidepressant was associated with a lower risk (hazard ratio [HR], 0.84; 95% CI, 0.80-0.88) of psychiatric hospitalization, whereas initiating use of a benzodiazepine was associated with a higher risk (HR, 1.08; 95% CI, 1.02-1.15); the risk associated with initiating use of a mood stabilizer (HR, 0.98; 95% CI, 0.94-1.03) was not significantly different from initiating use of another antipsychotic. A similar pattern of associations was observed in psychiatric ED visits for initiating use of an antidepressant (HR, 0.92; 95% CI, 0.88-0.96), a benzodiazepine (HR, 1.12; 95% CI, 1.07-1.19), and a mood stabilizer (HR, 0.99; 95% CI, 0.94-1.04). Initiating use of a mood stabilizer was associated with an increased risk of mortality (HR, 1.31; 95% CI, 1.04-1.66).

CONCLUSIONS AND RELEVANCE

In the treatment of schizophrenia, initiating adjunctive treatment with an antidepressant was associated with reduced risk of psychiatric hospitalization and ED visits compared with initiating use of alternative psychotropic medications. Associations of benzodiazepines and mood stabilizers with poorer outcomes warrant clinical caution and further investigation.

Agent-based computational models to explore diffusion of medical innovations among cardiologists

BACKGROUND

Diffusion of medical innovations among physicians rests on a set of theoretical assumptions, including learning and decision-making under uncertainty, social-normative pressures, medical expert knowledge, competitive concerns, network performance effects, professional autonomy or individualism and scientific evidence.

OBJECTIVES

The aim of this study was to develop and test four real data-based, agent-based computational models (ABM) to qualitatively and quantitatively explore the factors associated with diffusion and application of innovations among cardiologists.

METHODS

Four ABM were developed to study diffusion and application of medical innovations among cardiologists, considering physicians' network connections, leaders' opinions, "adopters' categories", physicians' autonomy, scientific evidence, patients' pressure, affordability for the end-user population, and promotion from companies.

RESULTS

Simulations demonstrated that social imitation among local cardiologists was sufficient for innovation diffusion, as long as opinion leaders did not act as detractors of the innovation. Even in the absence of full scientific evidence to support innovation, up to one-fifth of cardiologists could accept it when local leaders acted as promoters. Patients' pressure showed a large effect size (Cohen's d > 1.2) on the proportion of cardiologists applying an innovation. Two qualitative patterns (speckled and granular) appeared associated to traditional Gompertz and sigmoid cumulative distributions.

CONCLUSIONS

These computational models provided a semiquantitative insight on the emergent collective behavior of a physician population facing the acceptance or refusal of medical innovations. Inclusion in the models of factors related to patients' pressure and accesibility to medical coverage revealed the contrast between accepting and effectively adopting a new product or technology for population health care.

Antipsychotic polypharmacy – confusion reigns

Polypharmacy is usually employed where single drugs are considered insufficiently effective. Some polypharmacy is rational and evidence based, some neither. Antipsychotic polypharmacy remains stubbornly widespread despite condemnation of the practice by numerous bodies. The practice could not be said to be evidence based. Its persistence probably stems from a well-meaning desire to improve response and from confusion about the mechanism of action of antipsychotics. In particular, the concept that more antipsychotic(s) must always be, or might be, ‘better’ is virtually groundless. Nonetheless, some specific antipsychotic polypharmacy regimens have shown particular benefits on adverse effect profiles. Targeted, evidence-based polypharmacy may be the way forward.

Antipsychotic polypharmacy prescribing and risk of hospital readmission

OBJECTIVES

The aim of this study was to determine if there was an association between being discharged on antipsychotic polypharmacy (APP) and risk of readmission into secondary mental health care.

METHODS

Using data from the South London and Maudsley (SLAM) case register, service users with serious mental illness (SMI), discharged between 1st January 2007 and 31th December 2014, were followed up for 6 months. Patients were classified as receiving either monotherapy or polypharmacy at index discharge. Multivariable Cox regression models were constructed, adjusting for sociodemographic, socioeconomic, clinical and service use factors.

RESULTS

We identified 5523 adults who had been admitted at least once to SLAM, of whom 1355 (24.5%) were readmitted into secondary mental health care. In total, 15% (n = 826) of patients were discharged on APP and 85% (n = 4697) on monotherapy. Of these, 30.9% (n = 255) and 23.4% (n = 1100) were readmitted respectively. Being discharged on APP was associated with a significantly increased risk of readmission, in comparison to patients discharged on monotherapy (HR = 1.4, 1.2-1.7, p < 0.001). This association was maintained in the fully adjusted model and following several sensitivity analyses. We further established that patients receiving clozapine APP (n = 200) were at a significantly increased risk for readmission in comparison to patients on clozapine monotherapy (HR = 1.8, 1.2-2.6, p = 0.008).

CONCLUSIONS

Our results suggest that patients discharged on APP are more likely to be readmitted into hospital within 6 months in comparison to those discharged on monotherapy. This needs to be considered in treatment decisions and the reasons for the association clarified.

Predictors of long-term (≥6months) antipsychotic polypharmacy prescribing in secondary mental healthcare

INTRODUCTION

The predictors of long-term antipsychotic polypharmacy (APP) initiation are poorly understood. Existing research has been hampered by residual confounding, failure to exclude cross-titration, and difficulties in separating the timing of predictors and APP administration.

MATERIALS AND METHODS

Using data from the South London and Maudsley (SLaM) case register, we identified all adult patients with serious mental illness (SMI) who were receiving care between 1st July 2011 and 30th June 2012. Exposures measured between 1st July and 31st December 2011 included socio-demographic, socioeconomic, clinical and service use characteristics. We then determined if long-term APP (six or more months) had been initiated between 1st January and 30th June 2012. Multivariable logistic regression models, adjusted for socio-demographic and socioeconomic factors, were built to investigate the associations between the above factors and the initiation of long-term APP.

RESULTS

We identified 6857 adults with SMI receiving SLaM care, of whom 115 (1.7%) were newly prescribed long-term APP. In the adjusted models, predictors of long-term APP initiation included: symptoms (severity of hallucinations and/or delusions), previous treatments (clozapine and long-acting injectable antipsychotic agents), service use (more contact with outpatient services, community treatment order receipt), social factors (higher area-level deprivation, homelessness) and socio-demographic status (younger age, not in a relationship).

CONCLUSION

Our findings highlight that certain patient groups are at an increased risk for long-term APP initiation. Identifying these groups earlier in their treatment could encourage clinicians to employ a broader range of interventions in addition to pharmacotherapy to reduce the risk of APP prescribing.

Concomitant use of two or more antipsychotic drugs is common in Sweden

OBJECTIVES

To assess the prevalence of concomitant use of two or more antipsychotic drugs and other psychotropic drugs in the Swedish population.

METHODS

Data for this observational cohort study were collected from the Swedish Prescribed Drug Register including all dispensed drugs to the entire Swedish population (9.4 million inhabitants). We identified all individuals with at least one dispensed prescription of antipsychotic drug during January to June 2008. After 12 months, a second exposure period was chosen. Individuals who were dispensed two or more antipsychotic drugs in both periods were considered long-time users of antipsychotic polypharmacy.

RESULTS

In 2008, 1.5% of the Swedish population was dispensed antipsychotic drugs, the majority (75%) using only one antipsychotic drug. Out of individuals who were dispensed 2 or more antipsychotic drugs during the first period, 62% also was also dispensed at least 2 antipsychotic drugs during the second period. A total of 665 different unique combinations were used in 2008. Individuals prescribed two or more antipsychotic drugs during both periods were more often dispensed anxiolytics and sedatives than those who were dispensed only one antipsychotic drug. Elderly were dispensed antipsychotic drugs much more often than younger persons.

CONCLUSIONS

In Sweden, 25% of patients dispensed antipsychotic drugs receive a combination of two or more antipsychotic drugs. Individuals who are dispensed antipsychotic polypharmacy are more often dispensed anxiolytics and sedatives than those prescribed only one antipsychotic drug. Long-term observational studies are needed to assess the efficacy and safety of such combinations.

Evaluation of different approaches for confounding in nonrandomised observational data: a case-study of antipsychotics treatment

Although randomised controlled trials are regarded as the gold standard for treatments efficacy, evidence from observational studies remains relevant. To address the problem of possible confounding in these studies, investigators must employ analysis methods that adjust for confounders and lead to an unbiased estimation of the treatment effect. In this paper, the authors describe two relevant statistical methods. The first method represents the classical approach consisting of a multiple regression model including the effects of treatment and covariates. This approach considers the relation between prognostic factors and the outcome variable as a relevant criterion for adjustment. The second method is based on the propensity score, and focuses on the relation between prognostic factors and treatment assignment. These approaches were applied to a cohort of 183 French schizophrenic patients who were followed for a 2-year period (from 1998 to 2000). The probability of relapse according to antipsychotic treatment exposure was modelled using Cox regression models with the two statistical methods. Goodness-of-fit criteria were used to compare the modelling approaches. This study demonstrates that the propensity score, a predicted probability, has an important balancing property that underscores its value in strengthening the results of nonrandomised observational studies.

Prevalence and correlates of antipsychotic polypharmacy in children and adolescents receiving antipsychotic treatment

Antipsychotic polypharmacy (APP), which is common in adults with psychotic disorders, is of unproven efficacy and raises safety concerns. Although youth are increasingly prescribed antipsychotics, little is known about APP in this population. We performed a systematic PubMed search (last update 26 January 2013) of studies reporting the prevalence of APP in antipsychotic-treated youth. Summary statistics and statistical tests were calculated at the study level and not weighted by sample size. Fifteen studies (n = 58 041, range 68-23 183) reported on APP in youth [mean age = 13.4 ± 1.7 yr, 67.1 ± 10.2% male, 77.9 ± 27.4% treated with second-generation antipsychotics (SGAs)]. Data collected in these studies covered 1993-2008. The most common diagnoses were attention-deficit hyperactivity disorder (ADHD; 39.9 ± 23.5%) and conduct disorder/oppositional defiant disorder (CD/ODD; 33.6 ± 24.8). In studies including predominantly children (mean age = <13 yr, N = 5), the most common diagnosis were ADHD (50.6 ± 25.4%) and CD/ODD (39.5 ± 27.5%); while in studies with predominantly adolescents (mean age = ⩾13 yr, N = 7) the most common diagnoses were schizophrenia-spectrum disorders (28.6 ± 23.8%), anxiety disorders (26.9 ± 14.9%) and bipolar-spectrum disorders (26.6 ± 7.0%), followed closely by CD/ODD (25.8 ± 17.7). The prevalence of APP among antipsychotic-treated youth was 9.6 ± 7.2% (5.9 ± 4.5% in child studies, 12.0 ± 7.9% in adolescent studies, p = 0.15). Higher prevalence of APP was correlated with a bipolar disorder or schizophrenia diagnosis (p = 0.019) and APP involving SGA+SGA combinations (p = 0.0027). No correlation was found with APP definition [⩾1 d (N = 10) vs. >30-⩾90 d (N = 5), p = 0.88]. Despite lacking safety and efficacy data, APP in youth is not uncommon, even in samples predominantly consisting of non-psychotic patients. The duration, clinical motivations and effectiveness of this practice require further study.

Antipsychotic polypharmacy: a comprehensive evaluation of relevant correlates of a long-standing clinical practice

Antipsychotic polypharmacy (APP) is common in the treatment of schizophrenia spectrum disorders. The literature indicates that APP is related to patient, illness, and treatment variables that are proxy measures for greater illness acuity, severity, complexity, and chronicity. The largely unknown relative risks and benefits of APP need to be weighed against the known risks and benefits of clozapine for treatment-resistant patients. To inform evidence-based clinical practice, controlled, high-quality antipsychotic combination and discontinuation trials are necessary to determine the effectiveness, safety, and role of APP in the management of severely ill patients with insufficient response to antipsychotic monotherapy.

Prevalence and correlates of antipsychotic polypharmacy: a systematic review and meta-regression of global and regional trends from the 1970s to 2009

OBJECTIVE

To assess the prevalence and correlates of antipsychotic polypharmacy (APP) across decades and regions.

METHODS

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.

RESULTS

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).

CONCLUSIONS

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.

Antipsychotic polypharmacy in a regional health service: a population-based study

BACKGROUND

To analyse the extent and profile of outpatient regular dispensation of antipsychotics, both in combination and monotherapy, in the Barcelona Health Region (Spain), focusing on the use of clozapine and long-acting injections (LAI).

METHODS

Antipsychotic drugs dispensed for people older than 18 and processed by the Catalan Health Service during 2007 were retrospectively reviewed. First and second generation antipsychotic drugs (FGA and SGA) from the Anatomical Therapeutic Chemical classification (ATC) code N05A (except lithium) were included. A patient selection algorithm was designed to identify prescriptions regularly dispensed. Variables included were age, gender, antipsychotic type, route of administration and number of packages dispensed.

RESULTS

A total of 117,811 patients were given any antipsychotic, of whom 71,004 regularly received such drugs. Among the latter, 9,855 (13.9%) corresponded to an antipsychotic combination, 47,386 (66.7%) to monotherapy and 13,763 (19.4%) to unspecified combinations. Of the patients given antipsychotics in association, 58% were men. Olanzapine (37.1%) and oral risperidone (36.4%) were the most common dispensations. Analysis of the patients dispensed two antipsychotics (57.8%) revealed 198 different combinations, the most frequent being the association of FGA and SGA (62.0%). Clozapine was dispensed to 2.3% of patients. Of those who were receiving antipsychotics in combination, 6.6% were given clozapine, being clozapine plus amisulpride the most frequent association (22.8%). A total of 3.800 patients (5.4%) were given LAI antipsychotics, and 2.662 of these (70.1%) were in combination. Risperidone was the most widely used LAI.

CONCLUSIONS

The scant evidence available regarding the efficacy of combining different antipsychotics contrasts with the high number and variety of combinations prescribed to outpatients, as well as with the limited use of clozapine.

Evidence-based guidelines for the pharmacological treatment of schizophrenia: recommendations from the British Association for Psychopharmacology

These guidelines from the British Association for Psychopharmacology address the scope and targets of pharmacological treatment for schizophrenia. A consensus meeting, involving experts in schizophrenia and its treatment, reviewed key areas and considered the strength of evidence and clinical implications. The guidelines were drawn up after extensive feedback from the participants and interested parties, and cover the pharmacological management and treatment of schizophrenia across the various stages of the illness, including first-episode, relapse prevention, and illness that has proved refractory to standard treatment. The practice recommendations presented are based on the available evidence to date, and seek to clarify which interventions are of proven benefit. It is hoped that the recommendations will help to inform clinical decision making for practitioners, and perhaps also serve as a source of information for patients and carers. They are accompanied by a more detailed qualitative review of the available evidence. The strength of supporting evidence for each recommendation is rated.

Information from pharmaceutical companies and the quality, quantity, and cost of physicians' prescribing: a systematic review

BACKGROUND

Pharmaceutical companies spent $57.5 billion on pharmaceutical promotion in the United States in 2004. The industry claims that promotion provides scientific and educational information to physicians. While some evidence indicates that promotion may adversely influence prescribing, physicians hold a wide range of views about pharmaceutical promotion. The objective of this review is to examine the relationship between exposure to information from pharmaceutical companies and the quality, quantity, and cost of physicians' prescribing.

METHODS AND FINDINGS

We searched for studies of physicians with prescribing rights who were exposed to information from pharmaceutical companies (promotional or otherwise). Exposures included pharmaceutical sales representative visits, journal advertisements, attendance at pharmaceutical sponsored meetings, mailed information, prescribing software, and participation in sponsored clinical trials. The outcomes measured were quality, quantity, and cost of physicians' prescribing. We searched Medline (1966 to February 2008), International Pharmaceutical Abstracts (1970 to February 2008), Embase (1997 to February 2008), Current Contents (2001 to 2008), and Central (The Cochrane Library Issue 3, 2007) using the search terms developed with an expert librarian. Additionally, we reviewed reference lists and contacted experts and pharmaceutical companies for information. Randomized and observational studies evaluating information from pharmaceutical companies and measures of physicians' prescribing were independently appraised for methodological quality by two authors. Studies were excluded where insufficient study information precluded appraisal. The full text of 255 articles was retrieved from electronic databases (7,185 studies) and other sources (138 studies). Articles were then excluded because they did not fulfil inclusion criteria (179) or quality appraisal criteria (18), leaving 58 included studies with 87 distinct analyses. Data were extracted independently by two authors and a narrative synthesis performed following the MOOSE guidelines. Of the set of studies examining prescribing quality outcomes, five found associations between exposure to pharmaceutical company information and lower quality prescribing, four did not detect an association, and one found associations with lower and higher quality prescribing. 38 included studies found associations between exposure and higher frequency of prescribing and 13 did not detect an association. Five included studies found evidence for association with higher costs, four found no association, and one found an association with lower costs. The narrative synthesis finding of variable results was supported by a meta-analysis of studies of prescribing frequency that found significant heterogeneity. The observational nature of most included studies is the main limitation of this review.

CONCLUSIONS

With rare exceptions, studies of exposure to information provided directly by pharmaceutical companies have found associations with higher prescribing frequency, higher costs, or lower prescribing quality or have not found significant associations. We did not find evidence of net improvements in prescribing, but the available literature does not exclude the possibility that prescribing may sometimes be improved. Still, we recommend that practitioners follow the precautionary principle and thus avoid exposure to information from pharmaceutical companies. Please see later in the article for the Editors' Summary.

The science of primary health-care improvement: potential and use of community-based participatory research by practice-based research networks for translation of research into practice

There is a need for new approaches to supplement the existing methods of taking research from bench to bedside and from bedside to practice. Community-based participatory research (CBPR) is an emerging model of research that enhances ongoing clinical research by involving key stakeholders, including community members and patients. A practice-based research network (PBRN) is a group of primary care practices devoted principally not only to the primary care of patients, but also with a mission to investigate questions related to community-based practice and to improve the quality of primary care. Traditionally, PBRN research has not included patients or community members, while CBPR has excluded health providers as key stakeholders. Typical overlap topics of PBRN and CBPR research are health-care disparities, prevention, chronic disease management and mental health. The inclusion of CBPR within a PBRN has been identified as an important next step with the potential to significantly enhance the research process. This review focuses on bringing together the ideals of CBPR and PBRNs in order to tackle intractable problems such as disparities in health-care access and outcomes and translate these results into practice. Specifically, the CBPR PBRN approach can: (1) guide the research process so that studies more closely match the needs of all stakeholders (including providers, patients and community members); (2) assist in the development of the research protocol and identification of research methodologies so that the study is more amenable to participants; (3) facilitate recruitment of research participants; (4) enrich the data collection and analysis; and (5) allow rapid translation of results from the study back into clinical practice and the community. Once these mechanisms have been clearly elucidated, their widespread adoption will positively impact overall health at both a local and national level.

Incorporating evidence from pharmacologic and pharmacogenetic studies of atypical antipsychotic drugs into advanced psychiatric nursing practice

PURPOSE

To present a conceptual framework for incorporating pharmacologic findings and pharmacogenetic evidence related to atypical antipsychotic drugs (AADs) into advanced psychiatric nursing practice.

CONCLUSIONS

Three evidence domains lend important information about differential AAD response. These include the pharmacology of AADs, the molecular genetics of metabolizing enzymes, and the molecular genetics of neurotransmitter receptor drug targets.

PRACTICE IMPLICATIONS

These evidence domains can be incorporated into nursing practice decisions related to medication planning, patient and family education, and medication monitoring processes. The central focus of the framework is patient outcomes, which include medication adherence, tolerability of the AADs, and demonstrated clinical effectiveness.

Pediatric uptake of a newly available antipsychotic medication

OBJECTIVE

The uptake of new antipsychotic medications among children has not been studied adequately. Although ziprasidone received Food and Drug Administration approval for the treatment of psychotic disorders among children in June 2009, it first became available for off-label use by children in 2001 and presented an excellent case study for off-label market entry. The objective of this study was to determine the pattern of initiation and switching for off-label use of ziprasidone among Michigan children who were insured by Medicaid in the first year that ziprasidone was available.

METHODS

We conducted a retrospective study by using Michigan Medicaid data for patients who were aged <21 years and had 2 years of continuous enrollment and at least 1 prescription for ziprasidone in the first year the medication was available. The main outcome measures were proportion of children prescribed ziprasidone as their first antipsychotic, with evidence of treatment resistance, and by a psychiatrist.

RESULTS

In the first year, 292 individuals who met criteria were prescribed ziprasidone. Approximately 53% had a diagnosis of psychosis. Explosive personality disorder and oppositional defiant disorder were the next most common diagnoses. For 33% of individuals, this was the first antipsychotic medication. Only 12% of individuals showed evidence of treatment resistance to other antipsychotic medications before switching to ziprasidone.

CONCLUSIONS

During the period when ziprasidone had no approved pediatric usages, a small percentage of patients who were prescribed ziprasidone showed evidence of treatment resistance, the primary expected indication. Some prescribing for ziprasidone in the first year in this population could be considered inappropriate considering what was known about the safety and efficacy of ziprasidone in children and adolescents at the time. "Fail first" and prior authorization policies may be appropriate in the first year a medication is available so as to protect children from potential serious harm.

Clinical and economic ramifications of switching antipsychotics in the treatment of schizophrenia

BACKGROUND

Switching between antipsychotic medications is common in the treatment of schizophrenia. However, data on clinical and economic outcomes from antipsychotic switching, in particular acute care service use, is fairly limited. The goal of this research was to assess the clinical and economic ramifications of switching antipsychotics during outpatient management of schizophrenia.

METHODS

Data from a 1-year randomized, open-label cost-effectiveness study involving typical and atypical antipsychotics were assessed. The study protocol permitted switching of antipsychotics when clinically warranted. The risk of crisis-related events, use of acute-care services, and the time to the initial use of such services were determined in outpatients who switched antipsychotics compared with those who continued with their initial medications. Health care resource utilization data were abstracted from medical records and other sources (e.g., patient self-report), and direct costs were estimated using previously published benchmarks.

RESULTS

Almost one-third of patients (29.3%) underwent a switch from their initial antipsychotic agent, with an average duration of 100 days before such treatment alterations. Compared with their counterparts who remained on their initial therapies, individuals who switched antipsychotics experienced a significantly higher risk of acute-care services, including hospitalization (p = .013) and crisis services (p = .011). Patients undergoing medication switches also used acute-care services significantly sooner (p = .004) and accrued an additional $3,000 (a 25% increase) in annual total health care costs per patient, most of which was due to acute-care expenditures.

CONCLUSION

Switching antipsychotic medications was found to be associated with considerably poorer clinical and economic outcomes, as reflected by, more frequent and more rapid use of acute-care services compared with persons remaining on their initial treatments.

TRIAL REGISTRATION

Trial ID 2325 in LillyTrials.com (also accessible via ClinicalStudyResults.org).

Revisiting practice-based research networks as a platform for mental health services research

Practice-based research networks (PBRNs)-collaborations of practice settings that work together to generate research knowledge-are underused in mental health services research. This article proposes an agenda for mental health services research that uses a variety of PBRN structures and that focuses on what really happens in practice, the effectiveness of practice innovations in real world care, the challenges of implementing evidence supported interventions, modification of clinician behavior, and assessment of the effect of mental health policy changes on practice. The challenges of conducting research within PBRNs are substantial, including difficulties in maintaining positive member relations, securing ongoing funding, sustaining productivity, overcoming IRB entanglements and achieving both scientific excellence in recruitment and measurement validity and utility for practitioner members. However, the awareness of these challenges allows researchers and practitioners to build networks that creatively overcome them and that infuse mental health services research with heavy doses of the realities of everyday clinical practice.

Personality and emotional response in schizophrenics with persistent auditory hallucination

Personality has been proposed as having a possible effect on the reaction that patients have toward auditory hallucination. However, this factor has not been studied previously. Thus, this study investigated the relationship among demographics, personality, cognition and emotional response in schizophrenics with persistent auditory hallucination. One-hundred and fourteen subjects with persistent auditory hallucination completed the Eysenck Personality Questionnaire, the revised Beliefs about Voices Questionnaire and the Chinese-version Hospital Anxiety and Depression Scale. Structural equation model showed that personality had an effect on beliefs about the hallucination (malevolent or benevolent), which then affected the reaction of patients toward these voices (engages or resists). Their reaction will further affect the anxious or depressed state of the patients. When these hallucinations were categorized into the three levels of omnipotence, beliefs and reactions, the model was more significant than that of one-level model. Persistent auditory hallucination only accounted for a portion of the emotional distress when malevolent or benevolent voices were perceived, and personality characteristics accounted for the remaining emotional distress in schizophrenics. This model helped us understand the relationship between personality, cognition and affective symptoms, such that, when therapists decide what "trait" to change, they can determine at which point to intervene.