Persistence of racial disparities in prescription of first-generation antipsychotics in the USA

Variation of Clozapine Use for Treatment of Schizophrenia: Evidence from Pennsylvania Medicaid and Dually Eligible Enrollees

While clozapine is the most effective antipsychotic treatment for treatment-resistant schizophrenia, it remains underutilized across the United States, warranting a more comprehensive understanding of variation in use at the county level, as well as characterization of existing prescribing patterns. Here, we examined both Medicaid and Medicare databases to (1) characterize temporal and geographic variation in clozapine prescribing and, (2) identify patient-level characteristics associated with clozapine use. We included Medicaid and Fee for Service Medicare data in the state of Pennsylvania from January 1, 2013, through December 31, 2019. We focused on individuals with continuous enrollment, schizophrenia diagnosis, and multiple antipsychotic trials. Geographic variation was examined across counties of Pennsylvania. Regression models were constructed to determine demographic and clinical characteristics associated with clozapine use. Out of 8,255 individuals who may benefit from clozapine, 642 received treatment. We observed high medication burden, overall, including multiple antipsychotic trials. We also identified variation in clozapine use across regions in Pennsylvania with a disproportionate number of prescribers in urban areas and several counties with no identified clozapine prescribers. Finally, demographic, and clinical determinants of clozapine use were observed including less use in people identified as non-Hispanic Black, Hispanic, or with a substance use disorder. In addition, greater medical comorbidity was associated with increased clozapine use. Our work leveraged both Medicaid and Medicare data to characterize and surveil clozapine prescribing. Our findings support efforts monitor disparities and opportunities for the optimization of clozapine within municipalities to enhance clinical outcomes.

Differences in schizophrenia treatments by race and ethnicity-analysis of electronic health records

Racial disparities in prescriptions of anti-psychotics have been highlighted before. However, (i) the evidence on other medications, including anti-depressant or mood stabilizing medications is lacking, and (ii) the role of potentially confounding factors and (iii) specificity of such disparities to schizophrenia (SCZ), are still unknown. We used electronic health records (EHRs) from 224,212 adults to estimate the odds ratios of receiving a prescription for different nervous system medications among patients with SCZ of different race/ethnicity, and analogous linear models to investigate differences in prescribed medication doses. To verify specificity of the observed patterns to SCZ, we conducted analogous analyses in depression and bipolar disorder (BD) patients. We found that Black/African American (AA) and Hispanic patients with SCZ were more likely to be prescribed haloperidol (Black/AA: OR = 1.52 (1.33-1.74); Hispanic: OR = 1.32 (1.12-1.55)) or risperidone (Black/AA: OR = 1.27 (1.11-1.45); Hispanic: OR = 1.40 (1.19-1.64)), but less likely to be prescribed clozapine (Black/AA: OR = 0.40 (0.33-0.49); Hispanic: OR = 0.45 (0.35-0.58)), compared to white patients. There were no race/ethnicity-related differences in the prescribed medication doses. These patterns were not specific to SCZ: Asian, Hispanic and Black/AA patients with BD or depression were more likely to be prescribed anti-psychotics, but less likely to be prescribed antidepressants or mood-stabilizers. In conclusion, we found racial/ethnic disparities in the medications prescribed to patients with SCZ and other psychiatric conditions. We discuss the potential implications for the quality of care for patients of diverse races/ethnicities.

Using latent class analysis to investigate enduring effects of intersectional social disadvantage on long-term vocational and financial outcomes in the 20-year prospective Chicago Longitudinal Study

BACKGROUND

Class and social disadvantage have long been identified as significant factors in the etiology and epidemiology of psychosis. Few studies have explicitly examined the impact of intersecting social disadvantage on long-term employment and financial independence.

METHODS

We applied latent class analysis (LCA) to 20-year longitudinal data from participants with affective and non-affective psychosis (n = 256) within the Chicago Longitudinal Research. LCA groups were modeled using multiple indicators of pre-morbid disadvantage (parental social class, educational attainment, race, gender, and work and social functioning prior to psychosis onset). The comparative longitudinal work and financial functioning of LCA groups were then examined.

RESULTS

We identified three distinct latent classes: one comprised entirely of White participants, with the highest parental class and highest levels of educational attainment; a second predominantly working-class group, with equal numbers of Black and White participants; and a third with the lowest parental social class, lowest levels of education and a mix of Black and White participants. The latter, our highest social disadvantage group experienced significantly poorer employment and financial outcomes at all time-points, controlling for diagnosis, symptoms, and hospitalizations prior to baseline. Contrary to our hypotheses, on most measures, the two less disadvantaged groups did not significantly differ from each other.

CONCLUSIONS

Our analyses add to a growing literature on the impact of multiple forms of social disadvantage on long-term functional trajectories, underscoring the importance of proactive attention to sociostructural disadvantage early in treatment, and the development and evaluation of interventions designed to mitigate ongoing social stratification.

Patterns of pharmacotherapy for bipolar disorder: A GBC survey

OBJECTIVES

To understand treatment practices for bipolar disorders (BD), this study leveraged the Global Bipolar Cohort collaborative network to investigate pharmacotherapeutic treatment patterns in multiple cohorts of well-characterized individuals with BD in North America, Europe, and Australia.

METHODS

Data on pharmacotherapy, demographics, diagnostic subtypes, and comorbidities were provided from each participating cohort. Individual site and regional pooled proportional meta-analyses with generalized linear mixed methods were conducted to identify prescription patterns.

RESULTS

This study included 10,351 individuals from North America (n = 3985), Europe (n = 3822), and Australia (n = 2544). Overall, participants were predominantly female (60%) with BD-I (60%; vs. BD-II = 33%). Cross-sectionally, mood-stabilizing anticonvulsants (44%), second-generation antipsychotics (42%), and antidepressants (38%) were the most prescribed medications. Lithium was prescribed in 29% of patients, primarily in the Australian (31%) and European (36%) cohorts. First-generation antipsychotics were prescribed in 24% of the European versus 1% in the North American cohort. Antidepressant prescription rates were higher in BD-II (47%) compared to BD-I (35%). Major limitations were significant differences among cohorts based on inclusion/exclusion criteria, data source, and time/year of enrollment into cohort.

CONCLUSIONS

Mood-stabilizing anticonvulsants, second-generation antipsychotics, and antidepressants were the most prescribed medications suggesting prescription patterns that are not necessarily guideline concordant. Significant differences exist in the prescription practices across different geographic regions, especially the underutilization of lithium in the North American cohorts and the higher utilization of first-generation antipsychotics in the European cohorts. There is a need to conduct future longitudinal studies to further explore these differences and their impact on outcomes, and to inform and implement evidence-based guidelines to help improve treatment practices in BD.

Racial disparities in utilization of first-generation versus second-generation long-acting injectable antipsychotics in Medicaid beneficiaries with schizophrenia

BACKGROUND

Multiple studies report racial disparities in antipsychotic prescription patterns. This study assessed demographic and clinical factors associated with the utilization of first-generation (FG) versus second-generation (SG) long-acting injectable (LAI) antipsychotics.

METHODS

This retrospective, observational cohort analysis used claims data from the IBM MarketScan® Multi-State Medicaid database. The study included adults with an LAI claim between 01-January-2009 and 31-December-2018, an ICD-9-CM or ICD-10-CM diagnosis of schizophrenia, race recorded as Black or White, and ≥12 months of continuous enrollment before the index LAI. Descriptive analysis detailed the relationship between race and FG or SG LAI initiation. Multivariate logistic regression was used to assess potential associations with FG vs. SG LAI initiation, including clinical and demographic factors, comorbidities, and index year.

RESULTS

A total of 10,773 patients were included: 6659 (62 %) Black and 4114 (38 %) White. Black patients had a higher utilization of FG LAIs than White patients (46.8 % vs. 38.9 %) over the 10 years analyzed. Black patients were more likely to utilize FG LAIs than White patients (odds ratio: 1.47; 95 % CI: 1.34, 1.62) after controlling for index year and covariates (race, age, gender, insurance plan type, Quan-Charlson Comorbidity index score, comorbidities, prior medications). Significant predictors of FG LAI utilization were older age, type of baseline oral antipsychotic (FG vs SG), type of coverage (managed care vs fee for service), and greater comorbidity burden.

CONCLUSION

The utilization of FG LAIs was greater in Black compared to White Medicaid beneficiaries with schizophrenia over a 10-year period. These findings suggest that racial disparities exist in LAI initiation, with implications for differential quality of schizophrenia treatment.

Racial differences in pathways to care preceding first episode mania or psychosis: a historical cohort prodromal study

Background

There is evidence suggesting racial disparities in diagnosis and treatment in bipolar disorder (BD) and schizophrenia (SZ). The purpose of this study is to compare psychiatric diagnoses and psychotropic use preceding a first episode of mania (FEM) or psychosis (FEP) in racially diverse patients.

Methods

Using a comprehensive medical records linkage system (Rochester Epidemiology Project, REP), we retrospectively identified individuals diagnosed with BD or SZ and a documented first episode of mania or psychosis. Illness trajectory before FEP/FEM were characterized as the time from first visit for a mental health complaint to incident case. Pathways to care and clinical events preceding FEP/FEM were compared based on subsequent incident case diagnosis (BD or SZ) and self-reported race (White vs. non-White).

Results

A total of 205 (FEM = 74; FEP = 131) incident cases were identified in the REP. Duration of psychiatric antecedents was significantly shorter in non-White patients, compared to White patients (2.2 ± 4.3 vs. 7.4 ± 6.6 years; p < 0.001) with an older age at time of first visit for a mental health complaint (15.7 ± 6.3 vs. 11.1 ± 6.0 years; p = 0.005). There were no significant differences by race in FEM pathway to care or age of first seeking mental health. Overall non-White patients had lower rates of psychotropic use.

Conclusion

These data are unable to ascertain reasons for shorter duration of psychiatric antecedents and later age of seeking care, and more broadly first age of initial symptom presentation. If symptoms are confirmed to be earlier than first time seeking care in both groups, it would be important to identify barriers that racial minorities face to access timely psychiatric care and optimize early intervention strategies.

The weaponization of medicine: Early psychosis in the Black community and the need for racially informed mental healthcare

There is a notable disparity between the observed prevalence of schizophrenia-spectrum disorders in racialized persons in the United States and Canada and White individuals in these same countries, with Black people being diagnosed at higher rates than other groups. The consequences thereof bring a progression of lifelong punitive societal implications, including reduced opportunities, substandard care, increased contact with the legal system, and criminalization. Other psychological conditions do not show such a wide racial gap as a schizophrenia-spectrum disorder diagnosis. New data show that the differences are not likely to be genetic, but rather societal in origin. Using real-life examples, we discuss how overdiagnoses are largely rooted in the racial biases of clinicians and compounded by higher rates of traumatizing stressors among Black people due to racism. The forgotten history of psychosis in psychology is highlighted to help explain disparities in light of the relevant historical context. We demonstrate how misunderstanding race confounds attempts to diagnose and treat schizophrenia-spectrum disorders in Black individuals. A lack of culturally informed clinicians exacerbates problems, and implicit biases prevent Black patients from receiving proper treatment from mainly White mental healthcare professionals, which can be observed as a lack of empathy. Finally, we consider the role of law enforcement as stereotypes combined with psychotic symptoms may put these patients in danger of police violence and premature mortality. Improving treatment outcomes requires an understanding of the role of psychology in perpetuating racism in healthcare and pathological stereotypes. Increased awareness and training can improve the plight of Black people with severe mental health disorders. Essential steps necessary at multiple levels to address these issues are discussed.

Social Determinants of Health in People Living with Psychiatric Disorders: The Role of Pharmacists

Introduction

Social determinants of health (SDOH) affect outcomes of people living with psychiatric disorders, including substance use disorders. As experts in medication optimization, pharmacists play a vital role in identifying and addressing medication-related problems associated with SDOH. However, there is a paucity of literature on how pharmacists can be part of the solution.

Objective

The purpose of this article is to provide a narrative review and commentary on the intersection between SDOH, medication-related outcomes in people living with psychiatric disorders, and the role of pharmacists in addressing them.

Method

The American Association of Psychiatric Pharmacists appointed an expert panel to research the issue, identify barriers, and develop a framework for including pharmacists in addressing medication therapy problems associated with SDOH in people with psychiatric disorders. The panel used Healthy People 2030 as the framework and sought input from public health officials to propose solutions for their commentary.

Results

We identified potential connections between SDOH and their impact on medication use in people with psychiatric disorders. We provide examples of how comprehensive medication management can afford opportunities for pharmacists to mitigate medication-related problems associated with SDOH.

Conclusion

Public health officials should be aware of the vital role that pharmacists play in addressing medication therapy problems associated with SDOH to improve health outcomes and to incorporate them in health promotion programs.

Identifying Risk Factors for Hospitalization with Behavioral Health Disorders and Concurrent Temperature-Related Illness in New York State

Extreme temperature events are linked to increased emergency department visits, hospitalizations, and mortality for individuals with behavioral health disorders (BHD). This study aims to characterize risk factors for concurrent temperature-related illness among BHD hospitalizations in New York State. Using data from the NYS Statewide and Planning Research and Cooperative System between 2005-2019, multivariate log binomial regression models were used in a population of BHD hospitalizations to estimate risk ratios (RR) for a concurrent heat-related (HRI) or cold-related illness (CRI). Dementia (RR 1.65; 95% CI:1.49, 1.83) and schizophrenia (RR 1.38; 95% CI:1.19, 1.60) were associated with an increased risk for HRI among BHD hospitalizations, while alcohol dependence (RR 2.10; 95% CI:1.99, 2.22), dementia (RR 1.52; 95% CI:1.44, 1.60), schizophrenia (RR 1.41; 95% CI:1.31, 1.52), and non-dependent drug/alcohol use (RR 1.20; 95% CI:1.15, 1.26) were associated with an increased risk of CRI among BHD hospitalizations. Risk factors for concurrent HRI among BHD hospitalizations include increasing age, male gender, non-Hispanic Black race, and medium hospital size. Risk factors for concurrent CRI among BHD hospitalizations include increasing age, male gender, non-Hispanic Black race, insurance payor, the presence of respiratory disease, and rural hospital location. This study adds to the literature by identifying dementia, schizophrenia, substance-use disorders, including alcohol dependence and non-dependent substance-use, and other sociodemographic factors as risk factors for a concurrent CRI in BHD hospitalizations.

Patterns and predictors of oral antipsychotic prescribing in adult patients with schizophrenia

Background

Objective

Methods

Results

Conclusions

The Self-assessment for Modification of Anti-Racism Tool (SMART): Addressing Structural Racism in Community Behavioral Health

A national dialogue on systemic racism has been reinvigorated by the highly publicized deaths of several unarmed Black Americans, including George Floyd and Breonna Taylor. In response, the AACP Board considered how to promote concrete, meaningful action to support its membership in measurably addressing structures and policies that promote racism. In this article, literature on existing frameworks aimed at addressing health inequity on the organizational level are reviewed. We introduce the Self-assessment for Modification of Anti-Racism Tool (SMART), a quality improvement tool that aims to meet the AACP's needs in facilitating organizational change in community behavioral healthcare. The AACP SMART's development, components, use, and future directions are described. The AACP SMART builds on prior organizational tools supporting equity work in healthcare, providing a quality improvement tool that incorporates domains specific to structural racism and disparities issues in community behavioral healthcare.

Factors predicting high-dose and combined antipsychotic prescribing in New Zealand: High-dose antipsychotic prescribing

OBJECTIVE

Guidelines recommend using antipsychotic monotherapy at the lowest effective dose, however high-dose and antipsychotic polypharmacy prescribing (APP) remain commonplace. The aim of this study was to determine the prevalence and patterns of high-dose antipsychotic prescribing and APP among mental health service users in New Zealand (NZ).

METHODS

A retrospective audit of service users discharged from inpatient (n=657), or registered with community (n=1560), mental health services at Auckland District Health Board was undertaken. Case notes were reviewed and data on demographics, antipsychotic routes and doses were collected. Outcomes measures included: frequency of total high-dose prescribing, high-dose monotherapy, APP, high-dose APP, and factors associated with these prescribing practices. Logistic regression models were used to examine the relationships between explanatory and outcome variables.

RESULTS

Of the service users prescribed an antipsychotic (n = 2217), 14% were prescribed a high-dose antipsychotic. The frequency of high-dose monotherapy, APP, and high-dose APP was 3%, 26% and 11%, respectively. Being male, Māori, on compulsory treatment, having a schizophrenia diagnosis, or being prescribed polypharmacy were associated with high-dose antipsychotics. Olanzapine was most frequently prescribed in both high dosing (55%) and APP (40%).

CONCLUSIONS

There is a high prevalence of high-dose prescribing and APP in this NZ setting.

How the National Ambulatory Medical Care Survey has been used to identify health disparities in the care of patients in the United States

BACKGROUND

Healthcare disparities negatively impact patient health outcomes; addressing disparities could improve quality of life and decrease overall healthcare cost. The National Ambulatory Medical Care Survey (NAMCS) is an objective and reliable source for collecting information on United States (U.S.) ambulatory medical care service visits and may be a useful tool for identifying potential disparities in care.

OBJECTIVE

The purpose of this literature review is to describe studies utilizing NAMCS to capture U.S. healthcare disparities.

METHODS

PubMed was searched for scientific articles that utilized NAMCS to determine health disparities in the U.S. The keywords queried included "NAMCS" or "National Ambulatory Medical Care Survey" and "disparity" or "disparities" as a pair or additionally paired with one of the following: "race", "ethnicity", "age", "gender", "geography", or "insurance".

RESULTS

66 studies were found that incorporated NAMCS data from 1980-2016 into their methods to measure outcomes relating to health disparities. Disparities were found in the following categories: race/ethnicity, geographic location, age, insurance type, gender, specialist care versus primary care, body habitus, and preexisting conditions affecting patient outcomes. Disparities were identified in pain management, neurology, dermatology, psychiatry, patient communication access, and non-specialty specific or primary care visits related to disease conditions, screening, and treatment plans.

LIMITATIONS

Only PubMed was utilized as a search engine and may not encompass all studies on NAMCS and health disparities. NAMCS is a cross-sectional database and does not allow for longitudinal analyses.

CONCLUSIONS

NAMCS may be an underused tool given the limited number of articles that identify health disparities using it. Research studies utilizing NAMCS may identify potential disparities ultimately leading to better healthcare outcomes.

Current and emerging long-acting antipsychotics for the treatment of schizophrenia

Introduction: In this review, the authors discuss the role of long-acting injectable antipsychotics (LAIs) for schizophrenia, focusing on the effectiveness and new perspectives introduced by such treatment strategy. Despite their promising pharmacokinetic features and their potential advantages in medication adherence, clinical outcomes, and medical costs, LAIs are not habitually presented as an option for patients, especially in the early phase of schizophrenia.Areas covered: This review explores the panorama of available LAIs for the treatment of schizophrenia, first-episode of psychosis, approved indications, medical costs, medication adherence, side effects, effectiveness and differences between first-generation (FGA)-LAIs and second-generation (SGA)-LAIs.Expert Opinion: LAIs differ in terms of specific indications, approved injection sites, needle size, injection volume, injection interval as well as potential drug-drug interactions, and commonly reported adverse reactions. The approved indications have expanded beyond schizophrenia to include bipolar and schizoaffective disorder. SGA-LAIs are often preferred to FGA-LAIs. FGA-LAIs although are less chosen in new patients due to the induction of cognitive and extrapyramidal side effects, even if, on the other hand, many SGA-LAIs are burden by hyperprolactinemia and weight gain. After a review of the available evidence, insight is provided into the potential and current therapeutic opportunities offered by LAI antipsychotic formulations.

Association Between Race/Ethnicity and Disparities in Health Care Use Before First-Episode Psychosis Among Privately Insured Young Patients

IMPORTANCE

Racial/ethnic disparities in health care use and clinical outcomes for behavioral health disorders, including psychosis, are well documented, but less is known about these disparities during the period leading up to first-episode psychosis (FEP).

OBJECTIVE

To describe the racial/ethnic disparities in behavioral health care use and prescription drug use of children and young adults before the diagnosis of FEP.

DESIGN, SETTING, AND PARTICIPANTS

An observational cohort study was conducted using medical and prescription drug claims from January 1, 2007, to September 30, 2015, obtained from Optum's deidentified Clinformatics Data Mart Database, a commercial claims database augmented with race/ethnicity and socioeconomic variables. Data analysis was performed from February 6, 2018, to October 10, 2020. First-episode psychosis was determined by the presence of psychosis diagnoses on claims for at least 1 hospitalization or 2 outpatient events, with a continuous enrollment requirement of at least 2 years before the first diagnosis. Participants included 3017 Black, Hispanic, or White patients who were continually enrolled in commercial insurance plans and received an FEP diagnosis between the ages of 10 and 21 years.

MAIN OUTCOMES AND MEASURES

Race/ethnicity was determined from a commercial claims database. Rates of inpatient admission, emergency department presentation, and outpatient visits (including psychotherapy), behavioral health disorder diagnoses, and antipsychotic/antidepressant prescription fills were determined for the year before FEP. Race/ethnicity was also obtained from Optum's claims database. With use of multivariable logistic regression, results were adjusted for covariates including estimated household income, age, sex, and geographic division in the US.

RESULTS

Of the 3017 patients with FEP, 643 Black or Hispanic patients (343 [53.3%] Black, 300 [46.7%] Hispanic, 324 [50.4%] male, mean [SD] age, 17.2 [2.76] years) were less likely than 2374 White patients (1210 [51.0%] male, mean age, 17.0 [2.72] years) to receive comorbid behavioral health disorder diagnoses in the year before the diagnosis of FEP (410 [63.8%] vs 1806 [76.1%], χ2 = 39.3; P < .001). Except for emergency care, behavioral health care use rates were lower in Black and Hispanic patients vs White patients (424 [65.9%] vs 1868 [78.7%]; χ2 = 45.0; P < .001), particularly for outpatient visits with behavioral health care professionals (232 [36.1%] vs 1236 [52.1%]; χ2 = 51.7; P < .001). After adjustment for socioeconomic covariates, behavioral health care use rates (68.9% vs 79.2%; P < .001), outpatient visits with behavioral health professionals (37.7% vs 51.2%; P < .001), and other outcomes remained significantly lower for Black and Hispanic patients vs White patients.

CONCLUSIONS AND RELEVANCE

The results of this study extend existing research findings of well-known racial/ethnic disparities in the population of patients who are diagnosed with FEP. These differences were apparent in young patients with continuous commercial health insurance and after controlling for household income. Providing equal access to preventive outpatient behavioral health care may increase opportunities for timely detection of psychotic symptoms and early intervention and improve differential outcomes after FEP.

Racial and Ethnic Differences in Psychiatry Resident Prescribing: a Quality Improvement Education Intervention to Address Health Equity

OBJECTIVE

Quality improvement (QI) tools can identify and address health disparities. This paper describes the use of resident prescriber profiles in a novel QI curriculum to identify racial and ethnic differences in antidepressant and antipsychotic prescribing.

METHODS

The authors extracted medication orders written by 111 psychiatry residents over an 18-month period from an electronic medical record and reformatted these into 6133 unique patient encounters. Binomial logistic models adjusted for covariates assessed racial and ethnic differences in antipsychotic or antidepressant prescribing in both emergency and inpatient psychiatric encounters. A multinomial model adjusted for covariates then assessed racial and ethnic differences in primary diagnosis. Models also examined interactions between gender and race/ethnicity.

RESULTS

Black (adjusted OR 0.66; 95% CI, 0.50-0.87; p < 0.01) and Latinx (adjusted OR, 0.65; 95% CI, 0.49-0.86; p < 0.01) patients had lower odds of receiving antidepressants relative to White patients despite diagnosis. Black and Latinx patients were no more likely to receive antipsychotics than White patients when adjusted for diagnosis. Black (adjusted OR 3.85; 95% CI, 2.9-5.2) and Latinx (adjusted OR 1.60; 95% CI, 1.1-2.3) patients were more likely to receive a psychosis than a depression diagnosis when compared to White patients. Gender interactions with race/ethnicity did not significantly change results.

CONCLUSIONS

Our findings suggest that racial/ethnic differences in antidepressant prescription likely result from alternatively higher diagnosis of psychotic disorders and prescription of antipsychotics in Black and Latinx patients. Prescriber profiles can serve as a powerful tool to promote resident QI learning around the effects of structural racism on clinical care.

Inappropriate Antipsychotic Use: The Impact of Nursing Home Socioeconomic and Racial Composition

OBJECTIVES

Previous research suggests black nursing home (NH) residents are more likely to receive inappropriate antipsychotics. Our aim was to examine how NH characteristics, particularly the racial and socioeconomic composition of residents, are associated with the inappropriate use of antipsychotics.

DESIGN

This study used a longitudinal approach to examine national data from Long-Term Care: Facts on Care in the US (LTCFocUS.org) between 2000 and 2015. We used a multivariate linear regression model with year and state fixed effects to estimate the prevalence of inappropriate antipsychotic use at the NH level.

SETTING

Free-standing NHs in the United States.

PARTICIPANTS

The sample consisted of 12 964 NHs.

MEASUREMENTS

The outcome variable was inappropriate antipsychotic use at the facility level. The primary indicator variables were whether a facility had high proportions of black residents and the percentage of residents with Medicaid as their primary payer.

RESULTS

NHs with high and low proportions of blacks had similar rates of antipsychotic use in the unadjusted analyses. NHs with high proportions of black residents had significantly lower rates of inappropriate antipsychotic use (β = -2; P < .001) in the adjusted analyses. Facilities with high proportions of Medicaid-reliant residents had higher proportions of inappropriate use (β = .04; P < .001).

CONCLUSION

Findings from this study indicate a decline in the use of antipsychotics. Although findings from this study indicated facilities with higher proportions of blacks had lower inappropriate antipsychotic use, facility-level socioeconomic disparities continued to persist among NHs. Policy interventions that focus on reimbursement need to be considered to promote reductions in antipsychotic use, specifically among Medicaid-reliant NHs. J Am Geriatr Soc 68:630-636, 2020.

Decreased core symptoms of mania and utilization of lithium/mood stabilizing anticonvulsants in U.S. bipolar I patients of African vs European ancestry

OBJECTIVE

Misdiagnosis is common in bipolar disorder and disproportionally affects racial and ethnic minorities. There is interest in better understanding the contribution of differential symptomatic illness presentation to misdiagnosis.

METHODS

Utilizing the Genetic Association Information Network (GAIN) public database, this study compared clinical phenomenology between bipolar patients of African vs European ancestry (AA = 415 vs EA = 480). The Diagnostic Interview for Genetic Studies (DIGS) was utilized to evaluate symptom endorsement contributing to diagnostic confirmation of bipolar I disorder (BPI) and lifetime medication use.

RESULTS

Elevated/euphoric mood was less endorsed in AA vs EA participants (p = 0.03). During the most severe episode of mania, AA participants, in comparison to EA participants, had a lower sum of manic symptoms (p = 0.006) and a higher rate of hallucinations (p = 0.01). During lifetime psychosis, AA participants, in comparison to EA participants, had a higher lifetime sum of delusions (p = 0.01) and hallucinations (p < 0.0001). AA participants reported lower use of lithium (p < 0.0001) and mood stabilizing anticonvulsants (p = 0.0003).

CONCLUSIONS

The differential rate of manic and psychotic symptom endorsement from a semi-structured diagnostic interview may represent differential illness presentation based on biological differences or racial or study biases (e.g. ascertainment). Increased minority recruitment in bipolar research is therefore a necessary future direction.

LIMITATIONS

Recall and interviewer bias may affect study results, but are likely diminished by the alignment of symptom endorsement and medication use.

Racial and ethnic differences in psychotropic medication use among community-dwelling persons with dementia in the United States

OBJECTIVES

Little is known about the patterns of psychotropic medication use in community-dwelling minority persons with dementia (PWD). The purpose of this study was to investigate racial/ethnic differences in psychotropic medication use across a diverse population of community-dwelling PWD and to examine the extent to which caregiver characteristics influence this use.

METHOD

Data were drawn from the baseline assessment of the Resources for Enhancing Alzheimer's Caregiver Health II trial. Generalized linear models were used to identify racial/ethnic differences in psychotropic medication use. Akaike Information Criterion (AIC) model selection was used to evaluate possible explanations for observed differences across racial/ethnic group.

RESULTS

Differences in anxiolytic and antipsychotic medication use were observed across racial/ethnic groups; however, race/ethnicity alone was not sufficient to explain those differences. Perceptions of caregiving and caregiver socioeconomic status were important predictors of anxiolytic use while PWD characteristics, including cognitive impairment, functional impairment, problem behavior frequency, pain, relationship to the caregiver, sex, and age were important for antipsychotic use.

CONCLUSION

Racial/ethnic differences in psychotropic medication use among community-dwelling PWD cannot be explained by race/ethnicity alone. The importance of caregiver characteristics in predicting anxiolytic medication use suggest that interventions aimed at caregivers may hold promise as an effective alternative to pharmacotherapy.

Antipsychotic Medication Use Among Publicly Insured Pregnant Women in the United States

OBJECTIVE

Given the increasing use and broadening of indications for use of antipsychotic medications in the general population, as well as the paucity of information on the safety of this drug class during pregnancy, the study documented patterns of antipsychotic medication use among pregnant women.

METHODS

Medicaid Analytic eXtract data (2001-2010) from pregnant women who delivered live-born infants were used. Antipsychotic use at both the class and the individual drug level was defined based on dispensed outpatient prescriptions. Users' characteristics, including mental disorder diagnoses, were described. Temporal trends in use, as well as discontinuation patterns and psychotropic polytherapy, during pregnancy were evaluated.

RESULTS

Among 1,522,247 pregnancies, the prevalence of use of second-generation antipsychotics at any time during pregnancy increased threefold, from .4% to 1.3%, over the ten-year period, while the use of first-generation antipsychotics remained stable at around .1%. The increased use of second-generation antipsychotics was largely driven by more frequent use among patients with bipolar disorder. Quetiapine and aripiprazole were the most frequently dispensed drugs, and polytherapy with antipsychotics and antidepressants (65.2%), benzodiazepines (24.9%), and other mood stabilizers (22.0%) was common. More than 50% of women receiving an antipsychotic in the three months prior to pregnancy discontinued the drug during pregnancy.

CONCLUSIONS

A growing number of pregnant women in Medicaid are exposed to second-generation antipsychotics, frequently in combination with other psychotropic medications. This study highlights the importance of documenting the use and safety of these drugs during pregnancy to inform therapeutic decision making for pregnant women with psychiatric disorders.

Variation in receipt of pharmacotherapy for alcohol use disorders across racial/ethnic groups: A national study in the U.S. Veterans Health Administration

OBJECTIVE

Pharmacologic treatment is recommended for alcohol use disorders (AUD), but most patients do not receive it. Although racial/ethnic minorities have greater AUD consequences than whites, whether AUD medication receipt varies across race/ethnicity is unknown. We evaluate this in a national sample.

METHODS

Electronic health records data were extracted for all black, Hispanic, and/or white patients who received care at the U.S. Veterans Health Administration (VA) during Fiscal Year 2012 and had a documented AUD diagnosis. Mixed effects regression models, with a random effect for facility, determined the likelihood of receiving AUD pharmacotherapy (acamprosate, disulfiram, topirimate or oral or injectable naltrexone ≤180days after AUD diagnosis) for black and Hispanic patients relative to white patients. Models were unadjusted and then adjusted for patient- and facility-level factors.

RESULTS

297,506 patients had AUD; 26.4% were black patients, 7.1% were Hispanic patients and 66.5% were white patients; 5.1% received AUD medications. Before adjustment, black patients were less likely than white [Odds Ratio (OR) 0.77; 95% Confidence Interval (CI) 0.75 -0.82; (p<0.001)], while Hispanic patients were more likely than white (OR 1.09; 95% CI 1.01-1.16) to receive AUD medications. After adjustment, black patients remained less likely than white to receive AUD medications (OR 0.68; 95% CI 0.65-0.71; p<0.0001); no difference between Hispanic and white patients was observed (OR 0.94; 95% CI 0.87-1.00; p=0.07).

CONCLUSIONS

In this national study of patients with AUD, blacks were less likely to receive AUD medications than whites. Future research is needed to identify why these disparities exist.