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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 5 of 5 Research Studies DisplayedSaldanha IJ, Smith BT, Ntzani E
The Systematic Review Data Repository (SRDR): descriptive characteristics of publicly available data and opportunities for research.
Funded by the US Agency for Healthcare Research and Quality (AHRQ), the Systematic Review Data Repository (SRDR) is a free, web-based, open-source, data management and archival platform for reviews. The objectives of this study were to describe (1) the current extent of usage of SRDR and (2) the characteristics of all projects with publicly available data on the SRDR website.
AHRQ-funded; HHSA290201500002I_HHSA29032012T.
Citation: Saldanha IJ, Smith BT, Ntzani E .
The Systematic Review Data Repository (SRDR): descriptive characteristics of publicly available data and opportunities for research.
Syst Rev 2019 Dec 20;8(1):334. doi: 10.1186/s13643-019-1250-y..
Keywords: Evidence-Based Practice, Data, Research Methodologies, Registries
Boudreaux 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
Lewis VA, Joynet Maddox K, Austin AM
Developing and validating a measure to estimate poverty in Medicare administrative data.
The purpose of this study was to develop and validate a measure that estimates individual level poverty in Medicare administrative data that can be used in studies of Medicare claims. The investigators indicate that a poverty score can be calculated using Medicare administrative data for use as a continuous or binary measure and that this measure can improve researchers' ability to identify poverty in Medicare administrative data.
AHRQ-funded; HS024075.
Citation: Lewis VA, Joynet Maddox K, Austin AM .
Developing and validating a measure to estimate poverty in Medicare administrative data.
Med Care 2019 Aug;57(8):601-07. doi: 10.1097/mlr.0000000000001154..
Keywords: Medicare, Data, Low-Income, Research Methodologies
Li X, Fireman BH, Curtis JR
Validity of privacy-protecting analytical methods that use only aggregate-level information to conduct multivariable-adjusted analysis in distributed data networks.
Researchers analyzed the impact of using distributed data networks to conduct large-scale epidemiologic studies on protecting privacy of the subjects. Three aggregate-level data-sharing approaches were tested (risk-set, summary-table, and effect-estimate). Four confounding adjustment methods (matching, stratification, inverse probability matching, and matching weighting) and 2 summary scores (propensity and disease risk) for binary and time-to-event-outcomes were assessed. Risk-set data sharing generally performed better than summary-table and effect-estimate data-sharing which often produced discrepancies in settings with rare outcomes and small sample sizes.
AHRQ-funded; HS026214.
Citation: Li X, Fireman BH, Curtis JR .
Validity of privacy-protecting analytical methods that use only aggregate-level information to conduct multivariable-adjusted analysis in distributed data networks.
Am J Epidemiol 2019 Apr;188(4):709-23. doi: 10.1093/aje/kwy265..
Keywords: Data, Research Methodologies
Hsu YJ, Kosinski AS, Wallace AS
Using a society database to evaluate a patient safety collaborative: the Cardiovascular Surgical Translational Study.
The authors assessed the utility of using external databases for quality improvement (QI) evaluations in the context of an innovative QI collaborative aimed to reduce three infections and improve patient safety across the cardiac surgery service line. They compared changes in each outcome between 15 intervention hospitals and 52 propensity score-matched hospitals, and found that improvement trends in several outcomes among the studied intervention hospitals were not statistically different from those in comparison hospitals. They conclude that using external databases may permit comparative effectiveness assessment by providing concurrent comparison groups, additional outcome measures, and longer follow-up.
AHRQ-funded; HS019934.
Citation: Hsu YJ, Kosinski AS, Wallace AS .
Using a society database to evaluate a patient safety collaborative: the Cardiovascular Surgical Translational Study.
J Comp Eff Res 2019 Jan;8(1):21-32. doi: 10.2217/cer-2018-0051..
Keywords: Patient Safety, Quality Improvement, Quality Indicators (QIs), Quality of Care, Surgery, Cardiovascular Conditions, Comparative Effectiveness, Data, Hospitals, Research Methodologies, Patient-Centered Outcomes Research