National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedMirel 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.
.
.
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