Characteristics of Mail-Order Pharmacy Users: Results From the Medical Expenditures Panel Survey

2018 ◽  
Vol 33 (3) ◽  
pp. 293-298 ◽  
Author(s):  
Junyi Ma ◽  
Li Wang
Keyword(s):  
Family Income ◽  
Medical Expenditure Panel Survey ◽  
Population Characteristics ◽  
Medical Expenditure ◽  
Lower Percentage ◽  
Outcome Variable ◽  
Mail Order ◽  
Panel Survey ◽  
Sampling Weights ◽  
Mail Order Pharmacy

Background: There is a paucity of research on the population characteristics of mail-order pharmacy users. Objective: This study utilized a nationally representative sample to examine the characteristics of mail-order pharmacy users. Methods: This study used data from the 2012 Medical Expenditure Panel Survey (MEPS). The outcome variable was defined as whether the participant had used a mail-order pharmacy during the study year. Logistic regression was conducted to determine the factors which influence mail-order pharmacy use. All analyses incorporated MEPS sampling weights to adjust for the complex survey design. Results: Among the 14,106 adults included, approximately 18% of them had used a mail-order pharmacy at least once to fill their prescription in 2012. Compared to community pharmacy users, mail-order pharmacy users were more likely to be white, older, married, have a higher family income, a higher educational level, have health insurance, and have a prescription with at least a 30-day supply. There is no difference in gender or urban/rural disparity. In addition, mail-order pharmacy users had a lower percentage of out-of-pocket costs. Conclusion: Mail-order pharmacy use was significantly associated with certain patient characteristics. Policymakers should consider these characteristics when promoting mail-order pharmacy use.

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.

Estimating model-based nonnegative population marginal means in application to medical expenditures covered by different health care policies – A study on Medical Expenditure Panel Survey

2020 ◽  
pp. 096228022095424
Author(s):  
Mingmei Tian ◽  
Jihnhee Yu
Keyword(s):  
Public Health ◽  
Medical Expenditure Panel Survey ◽  
Model Fitting ◽  
Additive Model ◽  
Real Data ◽  
Population Characteristics ◽  
Medical Expenditure ◽  
Public Health Issue ◽  
Panel Survey ◽  
Marginal Means

The medical care expenditure is historically an important public health issue, which greatly impacts the government’s health policies as well as patients’ financial and medical decisions. In population health research, we commonly discretize a numeric attribute to a few ordinal groups to examine population characteristics. Oftentimes, the population marginal mean estimation by the ANOVA approach is inflexible since it uses pre-defined grouping of the covariate. In this paper, we propose a method to estimate the population marginal mean using the B-spline-based regression in a manner of a generalized additive model as an alternative for the ANOVA. Since the medical expenditure is always nonnegative, a Bayesian approach is also implemented for the nonnegative constraint on the marginal mean estimates. The proposed method is flexible to estimate marginal means for user-specified grouping after model fitting in a post-hoc manner, a clear advantage over the ANOVA approach. We show that this method is inferentially superior to the ANOVA through theoretical investigations and an extensive Monte Carlo study. The real data analysis using Medical Expenditure Panel Survey data assisted by some visualization tools demonstrates an applicability of the proposed approach and leads us some interesting observations that may be relevant to public health discussions.

scholarly journals Coverage, Financial Burden, and the Patient Protection and Affordable Care Act for Patients With Cancer

2019 ◽  
Vol 15 (12) ◽  
pp. e1035-e1049 ◽  
Author(s):  
Joel E. Segel ◽  
Jeah Jung
Keyword(s):  
Affordable Care Act ◽  
Family Income ◽  
Medical Expenditure Panel Survey ◽  
Financial Burden ◽  
Medical Expenditure ◽  
Lower Income ◽  
Panel Survey ◽  
Poverty Level ◽  
Patients With Cancer ◽  
Patient Protection

PURPOSE: Evidence suggests coverage has improved significantly for patients with cancer, particularly in the lower-income population, after the implementation of the Affordable Care Act (ACA). Yet no study has examined changes in type of coverage or the resulting effect on spending and financial burden. METHODS: Using 2011 to 2015 Medical Expenditure Panel Survey data, we examine changes in type of coverage, spending, and financial burden among lower-income (< 400% of federal poverty level [FPL]) individuals diagnosed with cancer after the ACA. To better understand the changes, we compare this sample to the lower-income patients without cancer and patients with cancer with a higher income (≥ 400% of FPL). All analyses were conducted in 2018. RESULTS: In adjusted analyses, we found a decline in months uninsured (−0.78 months; P = .001) and an increase in months with Medicaid coverage (0.40 months; P = .059) among the lower-income patients with cancer. This change is similar to the lower-income patients without cancer. We found an increase in total expenditures ($3,020; P = .071) but a modest decline in the fraction of family income spent on health (−0.014; P = 0.099), although neither is statistically significant. For the higher income patients with cancer, we observed significant increases in both out-of-pocket premiums and medical financial burden. CONCLUSION: After the ACA, lower-income people diagnosed with cancer experienced significant gains in coverage largely through Medicaid at rates similar to lower-income patients without cancer, but patients with cancer with incomes 400% or greater of FPL faced a higher financial burden.

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.

Sign in / Sign up

Export Citation Format

Share Document