scholarly journals Risk adjustment and observation time: comparison between cross-sectional and 2-year panel data from the Medical Expenditure Panel Survey (MEPS)

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Yi-Sheng Chao ◽  
Chao-Jung Wu ◽  
Tai-Shen Chen
Keyword(s):  
Panel Data ◽  
Risk Adjustment ◽  
Medical Expenditure Panel Survey ◽  
Observation Time ◽  
Medical Expenditure ◽  
Panel Survey ◽  
Cross Sectional

The Effect of SCHIP Expansions on Health Insurance Decisions by Employers

2005 ◽  
Vol 42 (3) ◽  
pp. 218-231 ◽  
Author(s):  
Thomas Buchmueller ◽  
Philip Cooper ◽  
Kosali Simon ◽  
Jessica Vistnes
Keyword(s):  
Health Insurance ◽  
Medical Expenditure Panel Survey ◽  
Medical Expenditure ◽  
Panel Survey ◽  
Cross Sectional ◽  
Insurance Program ◽  
Health Insurance Program ◽  
State Variation ◽  
Nationally Representative ◽  
Insurance Decisions

This study uses repeated cross-sectional data from the Medical Expenditure Panel Survey—Insurance Component (MEPS-IC), a large nationally representative survey of establishments, to investigate the effect of the State Children's Health Insurance Program (SCHIP) on health insurance decisions by employers. The data span the years 1997 to 2001, the period when states were implementing SCHIP. We exploit cross-state variation in the timing of SCHIP implementation and the extent to which the program increased eligibility for public insurance. We find evidence suggesting that employers whose workers were likely to have been affected by these expansions reacted by raising employee contributions for family coverage options, and that take-up of any coverage, generally, and family coverage, specifically, dropped in these establishments. We find no evidence that employers stopped offering single or family coverage outright.

scholarly journals Triptans Use for Migraine Headache among Nonelderly Adults with Cardiovascular Risk

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Monira Alwhaibi ◽  
Arijita Deb ◽  
Usha Sambamoorthi
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Migraine Headache ◽  
Medical Expenditure Panel Survey ◽  
Cross Sectional Study ◽  
Medical Expenditure ◽  
Lower Percentage ◽  
Panel Survey ◽  
Cross Sectional ◽  
The Relationship

Objective. To examine the association between the cardiovascular (CV) risk factors and triptans use among adults with migraine. Methods. A retrospective cross-sectional study design was used. Data were derived from 2009–2013 Medical Expenditure Panel Survey (MEPS). The study sample consisted of adults (age > 21 years) with migraine headache (N = 1,652). Multivariable logistic regression was used to examine the relationship between CV risk factors and triptans use. Results. Overall, 21% adults with migraine headache used triptans. Nearly two-thirds (61%) of adults with migraine had at least one CV risk factor. A significantly lower percentage of adults with CV risk (18.1%) used triptans compared to those without CV risk factors (25.5%). After controlling for demographic, socioeconomic status, access to care, and health status, adults with no CV risk factors were more likely to use triptans as compared to those with one CV risk factor (AOR = 1.83, 95% CI = 1.17–2.87). There were no statistically significant differences in triptans use between those with two or more CV risk factors and those with one CV risk factor. Conclusion. An overwhelming majority of adults with migraine had a contraindication to triptans based on their CV risk factors. The use of triptans among adults with migraine and multiple CV risk factors warrants further investigation.

scholarly journals Modeling the Conditional Dependence between Discrete and Continuous Random Variables with Applications in Insurance

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 45
Author(s):  
Emilio Gómez-Déniz ◽  
Enrique Calderín-Ojeda
Keyword(s):  
Structural Model ◽  
Medical Expenditure Panel Survey ◽  
Health Care Use ◽  
Medical Expenditure ◽  
Panel Survey ◽  
Conditional Distributions ◽  
Conditional Dependence ◽  
Outpatient Visits ◽  
Conditional Expectations ◽  
The U.S

We jointly model amount of expenditure for outpatient visits and number of outpatient visits by considering both dependence and simultaneity by proposing a bivariate structural model that describes both variables, specified in terms of their conditional distributions. For that reason, we assume that the conditional expectation of expenditure for outpatient visits with respect to the number of outpatient visits and also, the number of outpatient visits expectation with respect to the expenditure for outpatient visits is related by taking a linear relationship for these conditional expectations. Furthermore, one of the conditional distributions obtained in our study is used to derive Bayesian premiums which take into account both the number of claims and the size of the correspondent claims. Our proposal is illustrated with a numerical example based on data of health care use taken from Medical Expenditure Panel Survey (MEPS), conducted by the U.S. Agency of Health Research and Quality.

scholarly journals Are There Racial Disparities in Psychotropic Drug Use and Expenditures in a Nationally Representative Sample of Men in the United States? Evidence From the Medical Expenditure Panel Survey

2013 ◽  
Vol 8 (1) ◽  
pp. 82-90 ◽  
Author(s):  
Geraldine Pierre ◽  
Roland J. Thorpe ◽  
Gniesha Y. Dinwiddie ◽  
Darrell J. Gaskin
Keyword(s):  
United States ◽  
Drug Use ◽  
Racial Disparities ◽  
Psychotropic Drug ◽  
Medical Expenditure Panel Survey ◽  
The United States ◽  
Medical Expenditure ◽  
Panel Survey ◽  
Psychotropic Drug Use ◽  
Nationally Representative

This article sought to determine whether racial disparities exist in psychotropic drug use and expenditures in a nationally representative sample of men in the United States. Data were extracted from the 2000-2009 Medical Expenditure Panel Survey, a longitudinal survey that covers the U.S. civilian noninstitutionalized population. Full-Year Consolidated, Medical Conditions, and Prescribed Medicines data files were merged across 10 years of data. The sample of interest was limited to adult males aged 18 to 64 years, who reported their race as White, Black, Hispanic, or Asian. This study employed a pooled cross-sectional design and a two-part probit generalized linear model for analyses. Minority men reported a lower probability of psychotropic drug use (Black = −4.3%, 95% confidence interval [CI] = [−5.5, −3.0]; Hispanic = −3.8%, 95% CI = [−5.1, −2.6]; Asian = −4.5%, 95% CI = [−6.2, −2.7]) compared with White men. After controlling for demographic, socioeconomic, and health status variables, there were no statistically significant race differences in drug expenditures. Consistent with previous literature, racial and ethnic disparities in the use of psychotropic drugs present problems of access to mental health care and services.

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