Prediction Model of Disparities in Health Coverage Among Psychiatric Inpatients

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 the 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.