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Dataset Information

The Potential of High-Dimensional Propensity Scores in Health Services Research: An Exemplary Study on the Quality of Care for Elective Percutaneous Coronary Interventions.


ABSTRACT:

Objective

Evaluating the potential of the high-dimensional propensity score (HDPS) to control for residual confounding in studies analyzing quality of care based on administrative health insurance data.

Data source

Secondary data from 2004 to 2009 from three German statutory health insurance providers.

Study design

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.

Principal findings

Conventional PS me

SUBMITTER: Enders D 

PROVIDER: S-EPMC5785328 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature