Inpatient antipsychotic medication switching and rehospitalization risk among patients with schizophrenia-spectrum disorders.

OBJECTIVE: To describe patterns of antipsychotic switching among patients hospitalized for schizophrenia and to correlate antipsychotic switching with hospital readmission risk. METHODS: We identified 3295 patients with index hospitalizations for schizophrenia or schizoaffective disorder from New York State Medicaid claims 2017-2018 who had filled at least one prescription for an antipsychotic in both the 44 days (one month +14 day grace period) prior to and after their admission. We identified patients who had kept or switched any of their antipsychotic medication between the pre- and post-periods surrounding their index hospitalization. We compared the kept and switched any groups, adjusting for patient characteristics. RESULTS: Of patients who had filled antipsychotic prescriptions in both the 44 days prior to and after their hospitalization, 1599 (48.6 %) had switched at least one antipsychotic and 1215 (36.8 %) had switched their primary antipsychotic. Switching any antipsychotic was associated with increased hazards of readmission, HR = 1.21, 95%CI 1.09-1.35, which was slightly concentrated during the first 90 days after hospital discharge. CONCLUSIONS: Switching antipsychotic medications during hospitalization occurs commonly and is associated with higher rehospitalization risk following hospital discharge.

The genetic contribution to the comorbidity of depression and anxiety: a multi-site electronic health records study of almost 178 000 people.

BACKGROUND: Depression and anxiety are common and highly comorbid, and their comorbidity is associated with poorer outcomes posing clinical and public health concerns. We evaluated the polygenic contribution to comorbid depression and anxiety, and to each in isolation. METHODS: Diagnostic codes were extracted from electronic health records for four biobanks [N = 177 865 including 138 632 European (77.9%), 25 612 African (14.4%), and 13 621 Hispanic (7.7%) ancestry participants]. The outcome was a four-level variable representing the depression/anxiety diagnosis group: neither, depression-only, anxiety-only, and comorbid. Multinomial regression was used to test for association of depression and anxiety polygenic risk scores (PRSs) with the outcome while adjusting for principal components of ancestry. RESULTS: In total, 132 960 patients had neither diagnosis (74.8%), 16 092 depression-only (9.0%), 13 098 anxiety-only (7.4%), and 16 584 comorbid (9.3%). In the European meta-analysis across biobanks, both PRSs were higher in each diagnosis group compared to controls. Notably, depression-PRS (OR 1.20 per s.d. increase in PRS; 95% CI 1.18-1.23) and anxiety-PRS (OR 1.07; 95% CI 1.05-1.09) had the largest effect when the comorbid group was compared with controls. Furthermore, the depression-PRS was significantly higher in the comorbid group than the depression-only group (OR 1.09; 95% CI 1.06-1.12) and the anxiety-only group (OR 1.15; 95% CI 1.11-1.19) and was significantly higher in the depression-only group than the anxiety-only group (OR 1.06; 95% CI 1.02-1.09), showing a genetic risk gradient across the conditions and the comorbidity. CONCLUSIONS: This study suggests that depression and anxiety have partially independent genetic liabilities and the genetic vulnerabilities to depression and anxiety make distinct contributions to comorbid depression and anxiety.

Phenotypic distinctions in depression and anxiety: a comparative analysis of comorbid and isolated cases.

BACKGROUND: Anxiety and depression are frequently comorbid yet phenotypically distinct. This study identifies differences in the clinically observable phenome across a wide variety of physical and mental disorders comparing patients with diagnoses of depression without anxiety, anxiety without depression, or both depression and anxiety. METHODS: Using electronic health records for 14 994 participants with depression and/or anxiety in the Mayo Clinic Biobank, a phenotype-based phenome-wide association study (Phe2WAS) was performed to test for differences between these groups across a broad range of clinical diagnoses observed in the electronic health record. Additional analyses were performed to determine the temporal sequencing of diagnoses. RESULTS: Compared to patients diagnosed only with anxiety, those diagnosed only with depression were more likely to have diagnoses of obesity (OR 1.75; p = 1 × 10-27), sleep apnea (OR 1.71; p = 1 × 10-22), and type II diabetes (OR 1.74; p = 9 × 10-18). Compared to those diagnosed only with depression, those diagnosed only with anxiety were more likely to have diagnoses of palpitations (OR 1.91; p = 2 × 10-25), benign skin neoplasms (OR 1.61; p = 2 × 10-17), and cardiac dysrhythmias (OR 1.45; p = 2 × 10-12). Patients with comorbid depression and anxiety were more likely to have diagnoses of other mental health disorders, substance use disorders, sleep problems, and gastroesophageal reflux relative to isolated depression. CONCLUSIONS: While depression and anxiety are closely related, this study suggests that phenotypic distinctions exist between depression and anxiety. Improving phenotypic characterization within the broad categories of depression and anxiety could improve the clinical assessment of depression and anxiety.

Associations of Patient Race and Ethnicity With Emergency Department Disposition for Mental Health Visits in the United States.

Objective: To describe associations between patient race and ethnicity with emergency department disposition for mental health visits in the United States.Methods: We identified 674,821 visits for mental health in the 2019 National Emergency Department Sample and classified them by ICD-10 diagnostic group: schizophrenia-spectrum, bipolar, major depressive, anxiety, or other disorders. Racial and ethnic categories were White, Black, Hispanic, or other. Logistic regression models, adjusted for age, sex, insurance status, and medical comorbidities, were used to describe differences in odds of inpatient admission by race/ethnicity and diagnosis.Results: After covariate adjustment, we did not find overall differences in the likelihood of admission between racial/ethnic groups. However, compared to White patients, admission rates were lower for visits by Black patients for bipolar disorder (OR = 0.71; 95% CI, 0.59-0.84) and major depressive disorder (OR = 0.70; 95% CI, 0.59-0.83) and lower for Hispanic patients (OR = 0.57; 95% CI, 0.47-0.68) for anxiety disorders. There were no significant racial/ethnic differences in admission rates for schizophrenia-spectrum disorders.Conclusions: Overall admission rates were comparable for Black and White patients. After covariate adjustment, there were no differences across racial/ethnic groups, though some racial/ethnic differences persisted within diagnostic subsets of mood and anxiety disorders.

National trends in metabolic risk of psychiatric inpatients in the United States during the atypical antipsychotic era.

Although the cardiometabolic effects of atypical antipsychotics have been well-described in clinical samples, less is known about the longer-term impacts of these treatments. We report rates of metabolic syndrome in a nationally representative sample of U.S. adult inpatients 1993-2018 admitted for schizophrenia-spectrum disorders (n = 1,785,314), any mental health disorder (n = 8,378,773), or neither (n = 14,458,616) during a period of widespread atypical antipsychotic use. Metabolic syndrome, derived from additional diagnoses, was defined as three or more of hypertension, dyslipidemia, type II diabetes, hyperglycemia, and overweight or obese. Using an ecological age and period design, a 4-level period variable was constructed to proxy for atypical antipsychotic exposure as the minimum of age minus 20 years or the calendar year minus 1997 in accord with the disease course for schizophrenia-spectrum illness and the market share of atypical antipsychotics in the U.S. Logistic regression models, adjusted for age, year, and exposure main effects, estimated odds ratios (ORs) of metabolic syndrome. Relative to other mental health or other discharges, schizophrenia-spectrum discharges had an elevated risk for metabolic syndrome regardless of potential atypical antipsychotic exposure (OR = 1.46; 95 % CI, 1.30-1.64). For schizophrenia-spectrum discharges, periods of potential atypical antipsychotic exposure conferred additional metabolic syndrome risk OR = 1.21; 95 % CI, 1.04-1.41 for exposures of 1-2 years, OR = 1.29; 95 % CI, 1.13-1.46 for 3-7 years, OR = 1.27; 95 % CI, 1.12-1.44 for 8-12 years, and OR = 1.10; 95 % CI 0.98-1.24 for >12 years. In summary, cardiometabolic disease and related risks were elevated among a nationally representative sample of adult inpatients with schizophrenia-spectrum disorders during a period of pervasive atypical antipsychotic use.

Insurance and inpatient admission of emergency department patients with depression in the United States.

OBJECTIVE: To estimate the contribution of insurance on rates of inpatient admission for emergency department visits with depression diagnoses. METHODS: We identified 3,681,581 visits for depression in the National Emergency Department Sample (2007-2018). We classified them by concurrent injury, suicidal ideation, or neither. Payer categories were defined, non-exclusively, as Medicare, Medicaid, private insurance, and no insurance. Logistic regression models, adjusted for age, year, and comorbidities, were used to describe differences in rates of inpatient admission by payer type, stratified by visit features. RESULTS: Rates of inpatient admission for visits with neither injury nor suicidal ideation (31.9%; 95%CI, 30.8-33.0) were lower than for visits with injury (37.9%; 95%CI, 36.7-39.1) or with suicidal ideation (39.7%; 95%CI, 37.3-42.1). Rates of admission were significantly lower for those without insurance (26.6%; 95%CI, 25.5-27.8) than for those with insurance (37.1%; 95%CI, 36.1-38.1). In adjusted models, insurance was associated with increased likelihood (OR = 1.81, 95%CI, 1.69-1.94) of admission. Insurance continued to be a significant predictor of admission among ED visits for depression with concurrent injury (OR = 1.39; 95%CI, 1.29-1.51). CONCLUSION: After controlling for demographic characteristics and medical comorbidities, patients with depression who have insurance are significantly more likely to be admitted to the hospital compared to those without insurance.

Medication Use and Physical Assaults in the Psychiatric Emergency Department.

Objective: To evaluate the relationship between medications used to treat acute agitation (antipsychotics, mood stabilizers, and benzodiazepines) and subsequent assault incidence in the psychiatric emergency department.Methods: Medication orders and assault incident reports were obtained from electronic health records for 17,056 visits to an urban psychiatric emergency department from 2014 to 2019. Assault risk was modeled longitudinally using Poisson mixed-effects regression.Results: Assaults were reported during 0.5% of visits. Intramuscular (IM) medications were ordered in 23.3% of visits overall and predominantly were ordered within the first 4 hours of a visit. IM medication orders were correlated with assault (incident rate ratio [IRR] = 24.2; 95% CI, 5.33-110.0), often because IM medications were ordered immediately subsequent to reported assaults. Interacted with time, IM medications were not significantly associated with reduction in subsequent assaults (IRR = 0.700; 95% CI, 0.467-1.04). Neither benzodiazepines nor mood stabilizers were associated with subsequent changes to the risk of reported assault. By contrast, antipsychotic medications were associated with decreased assault risk across time (IRR = 0.583; 95% CI, 0.360-0.942).Conclusions: Although assault prevention is not the sole reason for ordering IM medications, IM medication order rates are high relative to overall assault incident risk. Of the 3 major categories of medications ordered commonly in the psychiatric emergency setting, only antipsychotic medications were associated with measurable decreases in subsequent assault risk. As antipsychotic medication can have a significant side effect burden, careful weighing of the risks and benefits of medications is encouraged.

Suicide Risk Among Adults With Mental Health Emergency Department Visits With and Without Suicidal Symptoms.

Objective: To describe risk factors and suicide rates during the year following discharge from mental health emergency department (ED) visits by adults with suicide attempts, suicidal ideation, or neither.Methods: National cohorts of patients with mental health ED visits for suicide attempts or self-harm (n = 55,323), suicidal ideation (n = 435,464), or other mental health visits (n = 9,144,807) from 2008 to 2012 Medicaid data were followed for suicide for 1 year after discharge. Suicide rates per 100,000 person-years were determined from National Death Index data. Poisson regression models, adjusted for age, sex, and race/ethnicity, estimated suicide rate ratios (RRs). Suicide standardized mortality ratios (SMRs) were estimated from National Vital Statistics System data.Results: Suicide rates per 100,000 person-years were 325.4 for suicide attempt or self-harm visits (RR = 5.51, 95% CI, 4.64-6.55), 156.6 for suicidal ideation visits (RR = 2.59, 95% CI, 2.34-2.87), and 57.0 for the other mental health ED visits (1.0, reference). Compared to expected suicide general population rates, SMRs were 18.2 (95% CI, 13.0-23.4) for suicide attempt or self-harm patients, 10.6 (95% CI, 9.0-12.2) for suicidal ideation patients, and 3.2 (95% CI, 3.1-3.4) for other ED mental health patients. Among patients with suicide attempt ED visits in the 180 days before their index mental health ED visit, suicide rates per 100,000 person-years were 687.2 (95% CI, 396.5-978.0) for attempt or self-harm visits, 397.4 (95% CI, 230.6-564.3) for ideation visits, and 328.4 (95% CI, 241.5-415.4) for other mental health visits.Conclusions: In the year following discharge, emergency department patients with suicide attempts or self-harm, especially repeated attempts, have a high risk of suicide.

Relationship Between Psychiatric Inpatient Beds and Jail Populations in the United States.

BACKGROUND: The US criminal justice system has witnessed dramatic increases in its mentally ill population during the past 50 years. The decreasing number of psychiatric beds is one proposed cause and more psychiatric beds may be one solution. OBJECTIVE: This study examined the relationships among large changes in local psychiatric bed capacity, local jail inmate populations, and the psychiatric burden at local general hospitals. METHODS: The study used a kernel method to identify abrupt changes in psychiatric bed capacity using the American Hospital Association Survey and Medicare Provider of Services data. Data were aggregated to the hospital referral region-year level and matched to the National Inpatient Sample of hospital discharges 1988-2015 and the Annual Survey of Jails 1985-2014. Subsequent analysis by event study examined the effect of abrupt bed changes on numbers of jail inmates. RESULTS: Decreases in local psychiatric bed capacity were associated with an average increase of 256.2 jail inmates (95% confidence interval: 3.3-509.1). Increases in psychiatric bed capacity were associated with an average decrease of 199.3 jail inmates (95% confidence interval: -457.4 to 58.8). There was limited evidence for spillovers to general hospitals immediately following decreases in psychiatric beds. CONCLUSIONS: Decreases in local psychiatric bed capacity appear to be associated with subsequent increases in local jail populations. There was no clear evidence of treatment shifting from psychiatric units to local general hospitals. These findings support concerns that a consequence of reducing psychiatric inpatient bed capacity is an increase in the jail population due to more psychiatrically ill inmates, aggravating the challenge of psychiatric treatment delivery within the US criminal justice system.

Association of Early Treatment With Chronicity and Hazard of Hospitalization After New Adjustment Disorder.

OBJECTIVE: This study aimed to examine the effect of early treatment with psychotherapy or psychoactive medications on later hospitalizations for patients with a new diagnosis of adjustment disorder. METHODS: Commercial claims data from Truven Health MarketScan were used. Patient-level propensity score matching was performed, and the authors fit an inverse probability of treatment weighting to a Cox proportional hazard model. RESULTS: Early receipt of psychoactive medication instead of psychotherapy was associated with an increased hazard of later psychiatric hospitalization (hazard ratio [HR]=2.61, 95% confidence interval [CI]=2.07-3.28) and overall hospitalization (HR=1.12, 95% CI=1.04-1.21). Specifically, benzodiazepines were associated with increased hazard of later psychiatric hospitalization (HR=1.59, 95% CI=1.02-2.51), which did not differ from medications overall. In contrast, early receipt of psychotherapy was associated with a small decrease in the hazard of later psychiatric hospitalization (HR=0.85, 95 % CI=0.73-0.99) but had no effect on overall hospitalizations. CONCLUSIONS: Early medication treatment for adjustment disorder was associated with greater overall and psychiatric hospitalization compared with no early medication treatment. This study suggests that an observed provider preference to use medications to treat patients who have comorbid physical illness may have deleterious long-term effects.

Committee Representation and Medicare Reimbursements-An Examination of the Resource-Based Relative Value Scale.

BACKGROUND: The Resource-Based Relative Value Scale Update Committee (RUC) submits recommended reimbursement values for physician work (wRVUs) under Medicare Part B. The RUC includes rotating representatives from medical specialties. OBJECTIVE: To identify changes in physician reimbursements associated with RUC rotating seat representation. DATA SOURCES: Relative Value Scale Update Committee members 1994-2013; Medicare Part B Relative Value Scale 1994-2013; Physician/Supplier Procedure Summary Master File 2007; Part B National Summary Data File 2000-2011. STUDY DESIGN: I match service and procedure codes to specialties using 2007 Medicare billing data. Subsequently, I model wRVUs as a function of RUC rotating committee representation and level of code specialization. PRINCIPAL FINDINGS: An annual RUC rotating seat membership is associated with a statistically significant 3-5 percent increase in Medicare expenditures for codes billed to that specialty. For codes that are performed by a small number of physicians, the association between reimbursement and rotating subspecialty representation is positive, 0.177 (SE = 0.024). For codes that are performed by a large number of physicians, the association is negative, -0.183 (SE = 0.026). CONCLUSIONS: Rotating representation on the RUC is correlated with overall reimbursement rates. The resulting differential changes may exacerbate existing reimbursement discrepancies between generalist and specialist practitioners.