National Healthcare Quality and Disparities Report
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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
51 to 52 of 52 Research Studies DisplayedHsu 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
Li F, Thomas LE, Li F
Addressing extreme propensity scores via the overlap weights.
This article examines the overlap weighting method, which mitigates the issues of biased estimates and excessive variance from extreme propensity scores in the probability weighting method. Overlap weighting emphasizes the target population with the most overlap in observed characteristics between treatments, continuously down-weighting the units in the tails of the propensity score distribution. The authors of this study use simulations to compare overlap weighting to standard inverse probability weighting in terms of bias, variance, and 95% confidence interval coverage. A consistent estimator for standard error of treatment effect, estimated using overlap weighting, is also provided to facilitate practical implementation.
AHRQ-funded; HS024310.
Citation: Li F, Thomas LE, Li F .
Addressing extreme propensity scores via the overlap weights.
Am J Epidemiol 2019 Jan;188(1):250-57. doi: 10.1093/aje/kwy201..
Keywords: Health Services Research (HSR), Research Methodologies