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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedBoudreaux M, Gangopadhyaya A, Long SK
AHRQ Author: Karaca Z
Using data from the Healthcare Cost and Utilization Project for state health policy research.
Investigators describe the opportunities and challenges of using HCUP data to conduct state health policy research and to provide empirical examples of what can go wrong when using the national HCUP data inappropriately. Analyzing cesarean delivery rates, discharges per capita, and discharges by the payer, they found that state-level estimates are volatile and often provide misleading policy conclusions. They conclude that the Nationwide Inpatient Sample should not be used for state-level research and specified that AHRQ provides resources to assist analysts with state-specific studies using State Inpatient Database files.
AHRQ-authored.
Citation: Boudreaux M, Gangopadhyaya A, Long SK .
Using data from the Healthcare Cost and Utilization Project for state health policy research.
Med Care 2019 Nov;57(11):855-60. doi: 10.1097/mlr.0000000000001196..
Keywords: Healthcare Cost and Utilization Project (HCUP), Policy, Health Services Research (HSR), Healthcare Costs, Data, Research Methodologies
Hill SC, Solomon KT, Maclean JC
AHRQ Author: Hill SC
Effects of improvements in the CPS on the estimated prevalence of medical financial burdens.
The authors sought to measure the effects of questionnaire and imputation improvements in the Current Population Survey (CPS) on the estimated prevalence of high medical financial burden. They found that the estimated prevalence increased among nonelderly adults with private insurance, decreased among nonelderly adults with public coverage, and decreased among elderly adults with Medicare and no private coverage. The authors concluded that improvements in the CPS changed the estimated prevalence of high medical financial burden among key subgroups, and they recommended that researchers use caution when tracking burden across the time-period in which these improvements were implemented.
AHRQ-authored.
Citation: Hill SC, Solomon KT, Maclean JC .
Effects of improvements in the CPS on the estimated prevalence of medical financial burdens.
Health Serv Res 2019 Aug;54(4):920-29. doi: 10.1111/1475-6773.13158..
Keywords: Health Insurance, Healthcare Costs, Research Methodologies
Yoon G, Jiang W, Liu L
Simple quasi-bayes approach for modeling mean medical costs.
AHRQ-funded; HS020263.
Citation: Yoon G, Jiang W, Liu L .
Simple quasi-bayes approach for modeling mean medical costs.
Int J Biostat 2019 Jun 5;16(1). doi: 10.1515/ijb-2018-0122..
Keywords: Healthcare Costs, Research Methodologies
Zhao X, Wang W, Liu L
A flexible quantile regression model for medical costs with application to Medical Expenditure Panel Survey study.
This study applied a flexible quantile regression model for medical costs to a dataset from the Medical Expenditure Panel Survey. The model can be used to analyze medical costs.
AHRQ-funded; HS020263.
Citation: Zhao X, Wang W, Liu L .
A flexible quantile regression model for medical costs with application to Medical Expenditure Panel Survey study.
Stat Med 2018 Jul 30;37(17):2645-66. doi: 10.1002/sim.7670..
Keywords: Medical Expenditure Panel Survey (MEPS), Healthcare Costs, Research Methodologies