Medicaid insurance as primary payer predicts increased mortality after total hip replacement in the state inpatient databases of California, Florida and New York

Hannah F. Xu, Robert S. White, Dahniel L. Sastow, Michael Andreae, Licia K. Gaber-Baylis, Zachary A. Turnbull

Research output: Contribution to journalArticle

34 Scopus citations

Abstract

Study objective To confirm the relationship between primary payer status as a predictor of increased perioperative risks and post-operative outcomes after total hip replacements. Design Retrospective cohort study. Setting Administrative database study using 2007–2011 data from California, Florida, and New York from the State Inpatient Databases (SID), Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality. Patients 295,572 patients age ≥ 18 years old who underwent total hip replacement with non-missing insurance data were collected, using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnoses and procedures code (ICD-9-CM code 81.51). Interventions Patients underwent total hip replacement. Measurements Patients were cohorted by insurance type as either Medicare, Medicaid, Uninsured, Other, and Private Insurance. Demographic characteristics and comorbidities were compared. Unadjusted rates of in-hospital mortality, postoperative complications, LOS, 30-day, and 90-day readmission status were compared. Adjusted odds ratios were calculated for our outcomes using multivariate linear and logistic regression models fitted to our data. Main results Medicaid patients incurred a 125% increase in the odds of in-hospital mortality compared to those with Private Insurance (OR 2.25, 99% CI 1.01–5.01). Medicaid payer status was associated with the highest statistically significant adjusted odds of mortality, any complication (OR, 1.26), cardiovascular complications (OR, 1.37), and infectious complications (OR, 1.66) when compared with Private Insurance. Medicaid patients had the highest statistically significant adjusted odds of 30-day (OR, 1.63) and 90-day readmission (OR, 1.58) and the longest adjusted LOS. Conclusions We found higher unadjusted rates and risk adjusted odds ratios of postoperative mortality, morbidity, LOS, and readmissions for patients with Medicaid insurance as compared to patients with Private Insurance. Our study shows that primary payer status serves as a predictor of perioperative risks and that primary payer status should be viewed as a peri-operative risk factor.

Original languageEnglish (US)
Pages (from-to)24-32
Number of pages9
JournalJournal of Clinical Anesthesia
Volume43
DOIs
StatePublished - Dec 2017

All Science Journal Classification (ASJC) codes

  • Anesthesiology and Pain Medicine

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