330752
Premature Mortality Among Public Mental Health Clients Enrolled in Medicaid
Method: A retrospective cohort study of mental health clients enrolled in Delaware Medicaid as of January 1, 2011 was conducted. Date of death was ascertained between January 1, 2011 through December 31, 2013. Gender-stratified, age-adjusted standardized mortality ratios (SMRs) and 95% confidence intervals (CIs) were estimated. In addition, we evaluated predictors of premature mortality by fitting logistic regression models to estimate odds ratios (OR) and 95% CIs.
Findings: 6,257 mental health clients were identified and 99 deaths occurred among these persons from 2011 to 2013. The average age of death was 48.6 years compared to the Delaware average age of death of 78.4 years. Significantly increased SMRs were observed for females (SMR=2.5, 95% CI: 1.8, 3.5) and for males (SMR=3.0, 95% CI: 2.1, 4.1). Mental health clients who died were more likely to have a comorbid disability (38.5% vs. 23.8%, p < 0.001). Medicaid recipients with a mental illness diagnosis in the state of Delaware had much higher mortality rates compared to the US general population reference rate. Comorbid disability status was an important predictor of premature mortality.
Implications: Subsequent research will identify causes of premature mortality in order to develop specific lifestyle and behavioral interventions to improve health outcomes among mental health Medicaid clients.
Learning Areas:
EpidemiologyPublic health or related public policy
Public health or related research
Learning Objectives:
Describe the disparity in premature mortality rates that exists among those with serious mental illness compared to the general population.
Identify factors that may contribute to disparities in premature mortality rates among those with serious mental illness.
Keyword(s): Mental Health, Medicaid
Qualified on the content I am responsible for because: I am a doctoral trained epidemiologist with extensive experience analyzing data from large secondary datasets and health claims databases, such as the Medicaid data.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.