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Search All Research Studies
AHRQ Research Studies Date
Topics
- Comparative Effectiveness (1)
- (-) Data (3)
- Electronic Health Records (EHRs) (1)
- (-) Healthcare Cost and Utilization Project (HCUP) (3)
- Healthcare Costs (1)
- Health Information Technology (HIT) (1)
- Health Services Research (HSR) (2)
- Mortality (1)
- Policy (1)
- Racial and Ethnic Minorities (1)
- Research Methodologies (1)
- Surgery (1)
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 3 of 3 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
Polubriaginof FCG, Ryan P, Salmasian H
Challenges with quality of race and ethnicity data in observational databases.
This study assessed the quality of race and ethnicity information in observational health databases as well as electronic health records (EHRs) and to propose patient self-recording as a way to improve accuracy. Data from the Healthcare Cost and Utilization Project (HCUP) and Optum Labs, and from a single New York City healthcare system’s EHR was compared. Among 160 million patients in the HCUP database, no race or ethnicity data was recorded for 25% of the records. Among the 2.4 million patients in the New York City HER, race or ethnicity was unknown for 57%. However, when patients were allowed to directly record their race and ethnicity, percentages rose to 86%.
AHRQ-funded; HS021816; HS023704; HS024713.
Citation: Polubriaginof FCG, Ryan P, Salmasian H .
Challenges with quality of race and ethnicity data in observational databases.
J Am Med Inform Assoc 2019 Aug;26(8-9):730-36. doi: 10.1093/jamia/ocz113..
Keywords: Healthcare Cost and Utilization Project (HCUP), Data, Racial and Ethnic Minorities, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR)
Mark TL, Lawrence W, Coffey RM
AHRQ Author: Lawrence W, Steiner C
The value of linking hospital discharge and mortality data for comparative effectiveness research.
The purpose of this paper was to demonstrate the value of linking state community hospital discharge data to vital statistics death files for research by conducting a comparative effectiveness analysis. The analysis revealed that in the matched cohort, in-hospital and 30-day postdischarge mortality rates were significantly lower following endovascular aneurysm repair than open aneurysm repair, but differences in the 1- and 5-year rates were not statistically significant.
AHRQ-authored.
Citation: Mark TL, Lawrence W, Coffey RM .
The value of linking hospital discharge and mortality data for comparative effectiveness research.
J Comp Eff Res 2013 Mar;2(2):175-84. doi: 10.2217/cer.13.4.
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Keywords: Comparative Effectiveness, Data, Healthcare Cost and Utilization Project (HCUP), Mortality, Surgery