scholarly journals Disparities in Health Care Access and Receipt of Preventive Services by Disability Type: Analysis of the Medical Expenditure Panel Survey

2014 ◽  
pp. n/a-n/a ◽  
Author(s):  
Willi Horner-Johnson ◽  
Konrad Dobbertin ◽  
Jae Chul Lee ◽  
Elena M. Andresen ◽  
2006 ◽  
Vol 5 (1) ◽  
Author(s):  
Fei Liu ◽  
David M. Zimmer

AbstractThe switching of health insurance plans and health care utilization are potentially correlated with both observable and unobservable information. This paper presents a two-period model of health care utilization, and attempts to account for unobserved heterogeneity that simultaneously affects utilization and the decision to switch plans. Data used in this paper are drawn from the Medical Expenditure Panel Survey. Results indicate that non-HMO enrollees increase their utilization of non-emergency related care prior to switching to HMOs, and they decrease utilization after switching. Conversely, individuals enrolled in HMOs report lower levels of utilization before and higher utilization after they switch to non-HMOs.


Author(s):  
David M. Zimmer

Abstract This paper uses data from the Medical Expenditure Panel Survey to estimate the effect of COBRA on health care utilization among a sample of individuals who experience employment separation. The empirical specification employs a structural simultaneous equations model of insurance choice and utilization that is estimated by Maximum Simulated Likelihood. Results indicate that employment separators who elect COBRA appear to consume more health care compared to individuals who become temporarily uninsured. In addition, results do not indicate adverse selection into COBRA. Although COBRA enrollees consume more health care than temporary insurance losers, election appears to exhibit favorable selection with respect to physician utilization.


2021 ◽  
Vol 111 (12) ◽  
pp. 2157-2166
Author(s):  
Samuel H. Zuvekas ◽  
David Kashihara

The COVID-19 pandemic caused substantial disruptions in the field operations of all 3 major components of the Medical Expenditure Panel Survey (MEPS). The MEPS is widely used to study how policy changes and major shocks, such as the COVID-19 pandemic, affect insurance coverage, access, and preventive and other health care utilization and how these relate to population health. We describe how the MEPS program successfully responded to these challenges by reengineering field operations, including survey modes, to complete data collection and maintain data release schedules. The impact of the pandemic on response rates varied considerably across the MEPS. Investigations to date show little effect on the quality of data collected. However, lower response rates may reduce the statistical precision of some estimates. We also describe several enhancements made to the MEPS that will allow researchers to better understand the impact of the pandemic on US residents, employers, and the US health care system. (Am J Public Health. 2021;111(12):2157–2166. https://doi.org/10.2105/AJPH.2021.306534 )


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Javier Valero-Elizondo ◽  
Joseph A Salami ◽  
Oluseye Ogunmoroti ◽  
Ehimen C Aneni ◽  
Rehan Malik ◽  
...  

Background: The AHA’s 2020 Strategic Goals emphasize the value of favorable modifiable risk factor (MRF) profile to reduce the burden of CVD morbidity and mortality. In this study we aimed to quantify the overall and incremental impact of MRF on health care expenditure in the U.S among those with and without CVD. Methods: The study population was derived from the 2012 Medical Expenditure Panel Survey (MEPS), a nationally representative adult sample (≥ 40 years). Direct costs were calculated for all-cause health care resource utilization. Variables of interest included CVD diagnoses (coronary artery disease, stroke, peripheral artery disease, dysrhythmias or heart failure), ascertained by ICD-9-CM codes, and MRF (hypertension, diabetes mellitus, hypercholesterolemia, smoking, physical activity and/or obesity). Two-part econometric models were utilized to study cost data; a generalized linear model with gamma distribution and link log was used to assess expenditures, taking into consideration the survey’s complex design. Results: The final study sample consisted of 15,651 MEPS participants (57 ± 12 years, 52% female). Overall, 6,231 (39%) had 0-1, 7,429 (49%) had 2-3, and 1,991 (12%) had ≥ 4 MRF, translating to 55.5, 69.9 and 17.9 million adults ≥ 40 years in U.S, respectively. Generally, there was a direct decrease in health expenditures with favorable MRF across CVD status (Table). These differences persisted after taking into account demographics, insurance status and comorbid conditions. Among those without established CVD, the average medical expenditure was $4,013 (95% CI 5,117, 2,910) and $2,696 (95% CI 4,416, 977) lower for those with 0-1 & 2-3 MRF, as compared to those with ≥ 4 MRF. Conclusion: Favorable MRF profile is associated with significantly lower medical expenditure among individuals with and without established CVD. Our study provides robust estimates for potential healthcare savings with nationwide policies focusing on preventing and managing modifiable CV risk factors.


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