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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 6 of 6 Research Studies DisplayedZuvekas SH, Biener AI, Hicks WD
AHRQ Author: Zuvekas SH
The effects of survey enhancements on the quality of reporting in the Medical Expenditure Panel Survey, 2008–2015.
It is well established that survey respondents imperfectly recall health care use in surveys. However, careful attention to both survey design and fielding procedures can enhance recall. In this study, the investigators examined the effects of a comprehensive, multi-pronged approach to changing field procedures in the Medical Expenditure Panel Survey (MEPS) to improve quality of health care use reporting.
AHRQ-authored.
Citation: Zuvekas SH, Biener AI, Hicks WD .
The effects of survey enhancements on the quality of reporting in the Medical Expenditure Panel Survey, 2008–2015.
J Surv Stat Methodol 2020 Jun;8(3):589-616..
Keywords: Medical Expenditure Panel Survey (MEPS), 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
Mirel LB, Chowdhury SR
AHRQ Author: Chowdhury SR
Using linked survey paradata to improve sampling strategies in the Medical Expenditure Panel Survey.
The main objective of this article is to examine how paradata from a prior survey can be used in developing a sampling scheme in a subsequent survey. A framework for optimal allocation of the sample in substrata formed for this purpose is presented and evaluated for the relative effectiveness of alternative substratification schemes.
AHRQ-authored.
Citation: Mirel LB, Chowdhury SR .
Using linked survey paradata to improve sampling strategies in the Medical Expenditure Panel Survey.
J Off Stat 2017 Jun;33(2):367–83.
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Keywords: Data, Medical Expenditure Panel Survey (MEPS), Research Methodologies
Coca Perraillon M, Shih YC, Thisted RA
Predicting the EQ-5D-3L Preference Index from the SF-12 Health Survey in a national US sample: a finite mixture approach.
The researchers developed a finite mixture model for cross-sectional data that maps the SF-12 to the EQ-5D-3L preference index. They concluded that finite mixtures offer a flexible modeling approach that can take into account idiosyncratic characteristics of the distribution of preferences. The use of mixture models allows researchers to obtain estimates of health utilities when only summary scores from the SF-12 and a limited number of demographic characteristics are available.
AHRQ-funded; HS000084; HS020263.
Citation: Coca Perraillon M, Shih YC, Thisted RA .
Predicting the EQ-5D-3L Preference Index from the SF-12 Health Survey in a national US sample: a finite mixture approach.
Med Decis Making 2015 Oct;35(7):888-901. doi: 10.1177/0272989x15577362..
Keywords: Medical Expenditure Panel Survey (MEPS), Research Methodologies
Xu X, Buta E, Anhang Price R
Methodological considerations when studying the association between patient-reported care experiences and mortality.
This study illustrated methodological considerations when assessing the relationship between patient care experiences and mortality. It found that the association between overall care experiences and mortality was significant for deaths not amenable to medical care and all-cause mortality, but not for amenable deaths.
AHRQ-funded; HS016980; HS016978.
Citation: Xu X, Buta E, Anhang Price R .
Methodological considerations when studying the association between patient-reported care experiences and mortality.
Health Serv Res 2015 Aug;50(4):1146-61. doi: 10.1111/1475-6773.12264..
Keywords: Medical Expenditure Panel Survey (MEPS), Patient Experience, Mortality, Quality of Care, Research Methodologies
Cohen SB, Rohde F, Yu W
AHRQ Author: Cohen SB, Rohde F, Yu W
Building wave response rates in a longitudinal survey:Essential for nonsampling error reduction or last in–first out?
This study examined the implications of a reduction in targeted first-round response rates in the Medical Expenditure Panel Survey (MEPS), a national health care survey designed to produce estimates of health care utilization, expenditures, and insurance coverage. Study findings revealed nonuniform results when evaluating the capacity of alternative design strategies to achieve precision targets while simultaneously satisfying data collection budget constraints for a variety of medical care expenditure estimates.
AHRQ-authored.
Citation: Cohen SB, Rohde F, Yu W .
Building wave response rates in a longitudinal survey:Essential for nonsampling error reduction or last in–first out?
Field Methods 2013 Nov;25(4):361-87. doi: 10.1177/1525822x13507863..
Keywords: Medical Expenditure Panel Survey (MEPS), Research Methodologies