title: 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: 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.
  
  
  
  Secondary data from 2004 to 2009 from three German statutory health insurance providers.
  
  
  
  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. To provide unbiased results, full assessment of all unmeasured confounders from proxy information in the database would be necessary.
authors.affiliation: Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
authors.forename: Dirk
authors.initials: D
authors.lastname: Enders
authors.affiliation: Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.|IGES Institut GmbH, Berlin, Germany.
authors.forename: Christoph
authors.initials: C
authors.lastname: Ohlmeier
authors.affiliation: Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.|Core Scientific Area "Health Sciences" at the University of Bremen, Bremen, Germany.
authors.forename: Edeltraut
authors.initials: E
authors.lastname: Garbe
mesh_terms: D000367:Age Factors; D015986:Confounding Factors, Epidemiologic; D017558:Elective Surgical Procedures / Q000592:standards*; D005858:Germany; D006302:Health Services Research / Q000379:methods*; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data*; D007345:Insurance Claim Review; D010045:Outpatients / Q000706:statistics & numerical data*; D062645:Percutaneous Coronary Intervention / Q000592:standards*; D057216:Propensity Score; D016016:Proportional Hazards Models; D011787:Quality of Health Care / Q000592:standards*; D012189:Retrospective Studies; D012737:Sex Factors
keywords: Residual confounding; administrative data; unmeasured confounding