Associations between comorbid health conditions and the use of mental health services among adults with bipolar disorder

Predictors of stigma toward alcohol misuse in Latino communities: a path model

This study explores stigma-related beliefs within the Latino community concerning alcohol misuse. A community-based convenience sample of 251 self-identified Latino adults were recruited to participate in a research study using an experimental vignette methodology. Participants were randomly assigned one of four vignettes about alcohol misuse and asked to share their attitudes and stigma-related beliefs about the problem and the person in the vignette. Sociodemographic characteristics of participants differentially predicted alcohol-related stigma. These data may be used to inform health literacy and stigma reduction interventions within the Latino community.

Disparities in Health Coverage Across Gender and Marital Status among Discharged Psychiatric Patients

The goal of this study was to examine the demographics sex and marital status of inpatients with schizophrenia and bipolar and compare differences in patients' chances of possessing adequate health coverage to cover hospital expenses. Data from the National Hospital Discharge Survey was extracted and analyzed. For hospital discharges of patients age 18 and older 702,626 hospital discharges were included in the study representing a weighted population of 77,082,738 hospital discharges. Prediction model was applied to test the ability of the independent variables sex and marital status to predict differences in health coverage in multinomial logistic regression (MLR) test. Results indicate that sex and marital status were significant predictors of health coverage type that patient owned. Male, unmarried and with unknown marital status patients were more likely to be either uninsured or publicly insured. Public health policy legislation efforts need to address public-health-insurance provisions that limit the coverage of treatment for psychiatric patients.

Acute general hospital admissions in people with serious mental illness

BACKGROUND

Serious mental illness (SMI, including schizophrenia, schizoaffective disorder, and bipolar disorder) is associated with worse general health. However, admissions to general hospitals have received little investigation. We sought to delineate frequencies of and causes for non-psychiatric hospital admissions in SMI and compare with the general population in the same area.

METHODS

Records of 18 380 individuals with SMI aged ⩾20 years in southeast London were linked to hospitalisation data. Age- and gender-standardised admission ratios (SARs) were calculated by primary discharge diagnoses in the 10th edition of the World Health Organization International Classification of Diseases (ICD-10) codes, referencing geographic catchment data.

RESULTS

Commonest discharge diagnosis categories in the SMI cohort were urinary conditions, digestive conditions, unclassified symptoms, neoplasms, and respiratory conditions. SARs were raised for most major categories, except neoplasms for a significantly lower risk. Hospitalisation risks were specifically higher for poisoning and external causes, injury, endocrine/metabolic conditions, haematological, neurological, dermatological, infectious and non-specific ('Z-code') causes. The five commonest specific ICD-10 diagnoses at discharge were 'chronic renal failure' (N18), a non-specific code (Z04), 'dental caries' (K02), 'other disorders of the urinary system' (N39), and 'pain in throat and chest' (R07), all of which were higher than expected (SARs ranging 1.57-6.66).

CONCLUSION

A range of reasons for non-psychiatric hospitalisation in SMI is apparent, with self-harm, self-neglect and/or reduced healthcare access, and medically unexplained symptoms as potential underlying explanations.