Robert T Ammerman1, Jie Chen2, Peter J Mallow3, John A Rizzo4, Alonzo T Folger5, Judith B Van Ginkel5. 1. Department of Pediatrics, Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, OH, USA. Electronic address: robert.ammerman@cchmc.org. 2. Department of Health Services Administration, School of Public Health, University of Maryland, College Park, MD, USA. 3. CTI Clinical Trial and Consulting, Inc., Cincinnati, OH, USA. 4. Department of Economics and Department of Preventive Medicine, Stony Brook University, Stony Brook, NY, USA. 5. Department of Pediatrics, Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Abstract
BACKGROUND: To determine the health care and labor productivity costs associated with major depressive disorder in high-risk, low-income mothers. METHODS: This study was conducted using the 1996-2011 Medical Expenditure Panel Survey (MEPS). The MEPS is a nationally-representative database that includes information on health care utilization and expenditures for the civilian, non-institutionalized population in the United States. High-risk mothers were between the ages of 18-35 years, and either unmarried, receiving Medicaid, or with incomes less than 300% of the Federal Poverty Level. Mothers were categorized as being depressed if they had an ICD-9 diagnosis code of 296 or 311 (N=2310) or not depressed (N=18,221). Insurer expenditures, out-of-pocket (OOP) expenses, and lost wage earnings were calculated. RESULTS: After controlling for comorbidities, demographics, region, and year, high-risk depressed mothers were more likely to incur insurer (0.84 vs. 0.79) and OOP expenses (0.84 vs. 0.81) and to have higher insurer ($4448 vs. $3072) and OOP expenses ($794 vs. $523). Depression significantly increased the likelihood of missing work days (OR=1.40; p<0.01). Depression increased overall direct health care expenditures by $1.89 billion (range=$1.28-$2.60 billion) and indirect costs by $523 million annually, with a range of $353-$719 million. CONCLUSIONS: In this high-risk population, the direct and indirect aggregate costs of depression-related to health care expenditures and lost work productivity were substantial. These findings establish a quantifiable cost for policy makers and highlight the need to target this population for prevention and treatment efforts.
BACKGROUND: To determine the health care and labor productivity costs associated with major depressive disorder in high-risk, low-income mothers. METHODS: This study was conducted using the 1996-2011 Medical Expenditure Panel Survey (MEPS). The MEPS is a nationally-representative database that includes information on health care utilization and expenditures for the civilian, non-institutionalized population in the United States. High-risk mothers were between the ages of 18-35 years, and either unmarried, receiving Medicaid, or with incomes less than 300% of the Federal Poverty Level. Mothers were categorized as being depressed if they had an ICD-9 diagnosis code of 296 or 311 (N=2310) or not depressed (N=18,221). Insurer expenditures, out-of-pocket (OOP) expenses, and lost wage earnings were calculated. RESULTS: After controlling for comorbidities, demographics, region, and year, high-risk depressed mothers were more likely to incur insurer (0.84 vs. 0.79) and OOP expenses (0.84 vs. 0.81) and to have higher insurer ($4448 vs. $3072) and OOP expenses ($794 vs. $523). Depression significantly increased the likelihood of missing work days (OR=1.40; p<0.01). Depression increased overall direct health care expenditures by $1.89 billion (range=$1.28-$2.60 billion) and indirect costs by $523 million annually, with a range of $353-$719 million. CONCLUSIONS: In this high-risk population, the direct and indirect aggregate costs of depression-related to health care expenditures and lost work productivity were substantial. These findings establish a quantifiable cost for policy makers and highlight the need to target this population for prevention and treatment efforts.
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