MEPS-HCMedical Expenditure Panel Survey - Household Component
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Because the chronic condition indicator also is available on the MEPS-HC, this aggregate measure of health status allowed us to predict health plan choice in the MEPS database.
The data used for state-specific estimates were the synthetic state assignment of MEPS-HC participants described earlier and in detail in Parente et al.
In the first step, we draw a sample of workers from the MEPS-HC that matches as nearly as possible the MEPS-IC establishment on the following dimensions: industry, Census Division, number of employees, multi-location status, and whether the employer offers insurance.
Next, we implement a raking poststratification of the MEPS-HC sampling weights within each establishment so that each establishment's synthetic workforce matches the establishment's reported workforce characteristics.
Standard errors were adjusted for the complex sampling design of the MEPS-HC using the Taylor Series approach.
In the MEPS-HC data, we cannot directly determine the degree of appropriate versus inappropriate antibiotic use, but the conditions associated with antibiotic purchases provide some evidence.
The usage and expenditure values cover the following medical care categories as they are itemized in the MEPS-HC data files:
In an effort to construct the standardized population to closely resemble the healthcare usage and spending patterns of ESHI plan enrollees, MEPS-HC individual records are selected based on several criteria.
To supplement the expenditure data provided from the MEPS-HC respondents and improve the accuracy of resultant expenditure estimates, the MEPS includes a medical provider survey.
Information on these four panels is based on the sample of 20,092 individuals in MEPS-HC.
Estimates concerning individual insurance from the MEPS-HC may be more accurate than those from other surveys due to question order and the details collected (Cantor et al.
The MEPS-HC, which began in 1996, is a household-based survey that contains individual and household-level estimates of health care expenditures and use, health insurance coverage, and a wide range of other health-related and socioeconomic characteristics.