Pmu14 the Use of Perspective and Costing Approaches in Cost-Effectiveness Analysis

Abstract

Objectives: Approximately 33% of stroke survivors suffer depression and depression is associated with disability, poor quality of life and mortality. However, assessments of association with healthcare expenditures among stroke survivors were not found. We examined association between depression and healthcare expenditures among stroke survivors. Methods: A retrospective cohort study was conducted using pooled data of 2-year panels from the 2012 through 2016 Medical Expenditure Panel Survey. The panel year-one was used to identify stroke survivors, depression diagnosis and baseline characteristics. The panel year-two was the follow-up period. Inclusion criteria were being 18 years old or older, and stroke diagnosis. Exclusion criteria were institutionalization or death. Stroke was identified based on having ICD-9 diagnosis codes (430 -438), or ever being told by a healthcare provider they had a stroke. Depression was identified based on ICD-9 diagnosis codes (296, 300, 309 or 311) only, since there was no self-report of depression variable in the data. In-patient, outpatient, emergency room, prescription medicines and total healthcare expenditures were examined in panel year-two. Associations between depression and each expenditure category were estimated using a two-part Logit GLM model in STATA, to account for excess zeros and adjusting for age, sex, race, education, marital status, employment status, insurance type, region, income, perceived health, smoking status and comorbidity with an alpha of 0.05 for significance. Results: The final sample (unweighted N = 1,498) was mostly female (58%) and non-Hispanic whites (48%); and 30% (95% CI = 27.9% -32.6%) had depression. The mean (6 standard deviation) age was 64 (6 14.4) years. Depression was associated with an average

Cost-effectiveness of Sacubitril-Valsartan in Hospitalized Patients Who Have Heart Failure With Reduced Ejection Fraction

“…With nearly 25% of the population older than 65 years still working and earning approximately $40 000 per year, considering these productivity gains has been the subject of recent economic analyses . We followed previously adopted methods originally described by Kim et al that used US age-adjusted labor force participation rates and US government age-standardized estimates for productivity and consumption.…”

“…We also computed non–health care consumption costs by age for each year in the model to capture future resource use. The sources for mean annual earnings (Current Population Survey 2014), labor force participation rate (Bureau of Labor Statistics), and consumption costs (Bureau of Labor Statistics Consumer Expenditure Survey) are summarized elsewhere …”