Hospital Stay in Synthetic Cannabinoid Users With Bipolar Disorder, Schizophrenia, or Other Psychotic Disorders Compared With Cannabis Users.

OBJECTIVE: The use of synthetic cannabinoid (SC) products has become popular in recent years, but data regarding their impact on hospital stays are limited. The impact of SC and cannabis use on hospital length of stay and doses of antipsychotics at discharge was assessed in this study. METHOD: The sample consisted of inpatients with discharge diagnoses of bipolar disorder, schizophrenia, or other psychotic disorders. Medical records of patients with self-reported SC use and negative urine drug screens (SC group, n = 77), with cannabis use confirmed by urine drug screen (cannabis group, n = 248), and with no drug use confirmed by urine drug screen (no-drug group, n = 1,336) were examined retrospectively. RESULTS: Length of stay (mean [SD] days) significantly differed (p < .001) among the SC (8.29 [4.29]), cannabis (8.02 [5.21]), and no-drug groups (10.19 [9.08]). Antipsychotic doses (chlorpromazine milligram equivalent doses) also significantly differed (p = .002) among the SC (254.64 [253.63]), cannabis (219.16 [216.71]), and no-drug groups (294.79 [287.85]). Unadjusted and adjusted pairwise comparisons showed that the cannabis group had a shorter length of stay (p < .001) and received lower doses of antipsychotics (p = .003) than the no-drug group. SC users did not differ significantly from the other two groups in either length of stay or doses of antipsychotics. CONCLUSIONS: Our findings suggest that acute SC exposure is not predictive of a more prolonged time for response to antipsychotic medications or of a need for larger doses of these medications compared with cannabis users.

Ethnic differences in the diagnosis of schizophrenia and mood disorders during admission to an academic safety-net psychiatric hospital.

U.S. Hispanics, now the single largest minority group in the country, face unique mental health disparities. The current study utilizes Andersen's Behavioral Model of Health Service Use to examine ethnic disparities in receiving a schizophrenia or mood disorder diagnosis at psychiatric hospital admission. Our retrospective cohort study examined electronic health record data at an academic safety-net psychiatric hospital for adult patients (n = 5571) admitted between 2010 and 2013. Logistic regression with block-wise entry of predisposing, enabling and need variables was used to examine ethnic disparities in receiving a schizophrenia diagnosis at admission. The block of need factors was the strongest predictor of receiving a schizophrenia diagnosis compared to predisposing and enabling factors. Compared to non-Hispanic whites, Hispanics and African Americans had a greater likelihood of receiving a schizophrenia diagnosis at admission. Additionally, patients diagnosed with schizophrenia had elevated positive and negative symptoms and were more likely to be male, single/unmarried, homeless, high inpatient service utilizers, involuntarily hospitalized, and to exhibit functional impairment at psychiatric hospital admission. To address elevated positive and negative symptoms of schizophrenia, functional impairment, social withdrawal, and high inpatient service utilization, promising psychosocial interventions should be adapted for racial and ethnic minority populations and utilized as an adjuvant to antipsychotic medication.

Factors Associated With the Likelihood of Hospitalization Following Emergency Department Visits for Behavioral Health Conditions.

OBJECTIVES: Behavioral health-related emergency department (ED) visits have been linked with ED overcrowding, an increased demand on limited resources, and a longer length of stay (LOS) due in part to patients being admitted to the hospital but waiting for an inpatient bed. This study examines factors associated with the likelihood of hospital admission for ED patients with behavioral health conditions at 16 hospital-based EDs in a large urban area in the southern United States. METHODS: Using Andersen's Behavioral Model of Health Service Use for guidance, the study examined the relationship between predisposing (characteristics of the individual, i.e., age, sex, race/ethnicity), enabling (system or structural factors affecting healthcare access), and need (clinical) factors and the likelihood of hospitalization following ED visits for behavioral health conditions (n = 28,716 ED visits). In the adjusted analysis, a logistic fixed-effects model with blockwise entry was used to estimate the relative importance of predisposing, enabling, and need variables added separately as blocks while controlling for variation in unobserved hospital-specific practices across hospitals and time in years. RESULTS: Significant predisposing factors associated with an increased likelihood of hospitalization following an ED visit included increasing age, while African American race was associated with a lower likelihood of hospitalization. Among enabling factors, arrival by emergency transport and a longer ED LOS were associated with a greater likelihood of hospitalization while being uninsured and the availability of community-based behavioral health services within 5 miles of the ED were associated with lower odds. Among need factors, having a discharge diagnosis of schizophrenia/psychotic spectrum disorder, an affective disorder, a personality disorder, dementia, or an impulse control disorder as well as secondary diagnoses of suicidal ideation and/or suicidal behavior increased the likelihood of hospitalization following an ED visit. CONCLUSION: The block of enabling factors was the strongest predictor of hospitalization following an ED visit compared to predisposing and need factors. Our findings also provide evidence of disparities in hospitalization of the uninsured and racial and ethnic minority patients with ED visits for behavioral health conditions. Thus, improved access to community-based behavioral health services and an increased capacity for inpatient psychiatric hospitals for treating indigent patients may be needed to improve the efficiency of ED services in our region for patients with behavioral health conditions. Among need factors, a discharge diagnosis of schizophrenia/psychotic spectrum disorder, an affective disorder, a personality disorder, an impulse control disorder, or dementia as well as secondary diagnoses of suicidal ideation and/or suicidal behavior increased the likelihood of hospitalization following an ED visit, also suggesting an opportunity for improving the efficiency of ED care through the provision of psychiatric services to stabilize and treat patients with serious mental illness.