Background: The Medicare Advantage Program (MAP) and the Veterans’ Health Administration (VHA) currently provide many services that benefit the elderly, and a comparative study of their risk-adjusted mortality rates has the potential to provide important information regarding these 2 systems of care.
Objective: The objective of this retrospective study was to compare mortality rates between the MAP and the VHA after controlling for case-mix differences.
Subjects: This study consisted of 584,294 MAP patients and 420,514 VHA patients.
Measures: We used the Death Master File to ascertain the vital status of each study subject over approximately 4 years. We used Cox regression models to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for the MAP compared with VHA patients.
Results: The average age for male MAP patients was 73.8 years (±5.6) and for male VHA patients was 74.05 years (±6.3). Unadjusted mortality rates of males for VHA and MAP were 25.7% and 22.8%, respectively, over approximately 4 years (P < 0.0001), respectively. The case-mix of VHA patients, however, was sicker than those from MAP. After adjusting for case-mix, the HR for mortality in the MAP was significantly higher than that in the VHA (HR, 1.404; 95% CI = 1.383–1.426). We obtained similar results when we compared the mortality rates of females for VHA and MAP.
Conclusions: After adjusting for their higher prevalence of chronic disease and worse self-reported health, mortality rates were lower for patients cared for in the VHA compared with those in the MAP. Further studies should examine what differences in care structures and processes contribute to lower mortality in the VHA.
From the *Center for Health Quality, Outcomes, and Economic Research, A Health Services Research and Development Field Program, VA Medical Center, Bedford, Massachusetts; the †Section of General Internal Medicine, Boston VA Health Care System, Boston, Massachusetts; the ‡Boston University Schools of Medicine and Public Health, Boston, Massachusetts; §Boston University, Mathematics Department, Boston, Massachusetts; the ¶Health Institute, New England Medical Center, Boston, Massachusetts; the ∥Health Outcomes Technologies Program, Health Services Department, Boston University School of Public Health, Boston, Massachusetts; the **Medicare Health Outcomes Survey Program Office of Research, Development, & Information Centers for Medicare & Medicaid Services, Baltimore, Maryland; and the ††National Committee for Quality Assurance, Washington, DC.
The research in this article was supported by the Centers for Medicare & Medicaid Services (CMS) and the National Committee for Quality Assurance (NCQA) under contract nos. 500-00-0055 with NCQA, Office of Quality Performance (OQP) of the Department of Veterans Affairs, The Center for Health Quality, Outcomes and Economic Research (CHQOER), Department of Veterans Affairs, and Boston University School of Public Health.
The views expressed in this article are those of the authors and do not necessarily reflect the views of the U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services, or the National Committee for Quality Assurance, the Department of Veterans Affairs, or Boston University.
SF-36 is a registered trademark of the Medical Outcomes Trust.
Reprints: Alfredo J. Selim, MD, MPH, Center for Health Quality, Outcomes, and Economic Research, Edith Nourse Rogers Memorial Hospital (152), Bldg. 70, 200 Springs Road, Bedford, MA 01730. E-mail: Selim.Alfredo_J@Boston.Med.VA.gov.