Researchers at BIPS Describe Findings in Quality of Care (The Potential of High-Dimensional Propensity Scores in Health Services Research: An…
Researchers at BIPS Describe Findings in Quality of Care (The Potential of High-Dimensional Propensity Scores in
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The news reporters obtained a quote from the research from BIPS, "We conducted a retrospective cohort study in patients with elective percutaneous coronary interventions (PCIs) and compared the mortality risk between the in-and outpatient setting using Cox regression. Adjustment for predefined confounders was performed using conventional propensity score (PS) techniques. Further, an HDPS was calculated based on predefined and empirically selected confounders from the database. Conventional PS methods showed a decreased mortality risk for outpatient compared to inpatient PCIs, while trimming of patients with nonoverlap in the HDPS distribution and weighting resulted in a comparable risk. Most comorbidities were less prevalent in the HDPS-trimmed population compared to the original one. The HDPS methodology may reduce residual confounding by rendering the studied cohort more comparable through restriction. However, results cannot be generalized for the entire study population."
According to the news reporters, the research concluded: "To provide unbiased results, full assessment of all unmeasured confounders from proxy information in the database would be necessary."
For more information on this research see: The Potential of High-Dimensional Propensity Scores in
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