Impact of case-mix measurement error on estimation and inference in profiling of health care providers

References

• Ash, A. S., S. E. Fienberg, T. A. Louis, S. T. Normand, T. A. Stukel, and J. Utts. 2012. Statistical issues in assessing hospital performance. Washington D.C.: The COPSS-CMS White Paper Committee, CMS.
   Google Scholar
• Austin, P. C., D. A. Alter, and J. V. Tu. 2003. The use of fixed- and random-effects models for classifying hospitals as mortality outliers: a Monte Carlo assessment. Medical Decision Making 23:526–539.
   PubMed Web of Science ®Google Scholar
• Carroll, R. J., D. Ruppert, L. A. Stefanski, and C. M. Crainiceanu. 2006. Measurement error in nonlinear models: A modern perspective. Boca Raton, FL: Chapman and Hall/CRC.
   Google Scholar
• Centers for Medicare & Medicaid Services (CMS)/UM-KECC. 2014. Report for the standardized readmission ratio. Washington, D.C: CMS.
   Google Scholar
• Chen, Y., D. Senturk, J.P. Estes, L.F. Campos, C.M. Rhee, L.S. Dalrymple, L. Zhang, K. Kalantar-Zadeh, D.V. Nguyen. 2017. Performance characteristics of profiling methods and the impact of inadequate case-mix adjustment. Submitted for publication.
   Google Scholar
• Codman, E. 1916. Hospitalization standardization. Surgery, Gynecology, and Obsterrics 22:119–120.
   Google Scholar
• Estes, J. P., D. V. Nguyen, Y. Chen, L. S. Dalrymple, C. M. Rhee, K. Kalantar-Zedeh, and D. Senturk. 2018. Time-dynamic profiling with application to hospital readmission among patients on dialysis. Biometrics. https://doi.org/10.1111/biom.12908.
   Web of Science ®Google Scholar
• He, K., J. D. Kalbfleisch, Y. Li, and Y. Li. 2013. Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects. Lifetime Data Analysis 19:490–512.
   PubMed Web of Science ®Google Scholar
• Horwitz, L., C. Partovain, Z. Q. Lin, J. Herrin, J. Grady, M. Conover, J. Montague, C. Dillaway, K. Bartcazk, J. Ross, et al. 2011. Hospital-wide (all-condition) 30 day risk-standardized readmission measure. Washington, D.C.: CMS.
   Google Scholar
• Horwitz, L., C. Partovain, Z. Q. Lin, J. Grady, J. Herrin, M. Conover, J. Montague, C. Dillaway, K. Bartcazk, L.G. Suter, et al. 2014. Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission. Annals of Internal Medicine 161:S66–S75.
   PubMed Web of Science ®Google Scholar
• Jones, H. E., and D. J. Spiegelhalter. 2011. The identification of “unusual” health-care providers from a hierarchical model. American Statistician 65:154–163.
   Web of Science ®Google Scholar
• Kalbfleisch, J. D., and R. A. Wolfe. 2013. On monitoring outcomes of medical providers. Statistics in Biosciences 5:286–302.
   Google Scholar
• Keenan, P. S., S. L. Normand, Z. Lin, E. E. Drye, K. R. Bhat, J. S. Ross, J. D. Schuur, B. D. Stauffer, S. M. Bernheim, A. J. Epstein, et al. 2008. An administrative claims measure suitable for profiling hospital performance on the basis of 30-day all-cause readmission rates among patients with heart failure. Circulation Cardiovascular Quality and Outcomes 1:29–37.
   PubMed Web of Science ®Google Scholar
• Krumholz, H. M., Z. Lin, E. E. Drye, M. M. Desai, H. F. Han, M. T. Rapp, J. A. Mattera, and S.-L. Normand. 2011. An administrative claims measure suitable for profiling hospital performance based on 30-day all-cause readmission rates among patients with acute myocardial infarction. Circulation Cardiovascular Quality and Outcomes 4:243–252.
   PubMed Web of Science ®Google Scholar
• Lindenauer, P. K., S. L. Normand, E. E. Drye, Z. Lin, K. Goodrich, M. M. Desai, D. W. Bratzler, W. J. O’Donnell, M. L. Metersky, H. M. Krumholz. 2011. Development, validation, and results of a measure of 30-day readmission following hospitalization for pneumonia. Journal of Hospital Medicine, 6:142–150.
   PubMed Web of Science ®Google Scholar
• Normand, S. T., M. E. Glickman, and C. A. Gatsonis. 1997. Statistical methods for profiling providers of medical care: Issues and applications. Journal of the American Statistical Association 92:803–814.
   Web of Science ®Google Scholar
• Normand, S. T., and D. M. Shahian. 2007. Statistical and clinical aspects of hospital outcomes profiling. Statistical Science 22:206–226.
   Web of Science ®Google Scholar
• Ross, J. S., S. L. Normand, Y. Wang, D. T. Ko, E. E. Drye, P. S. Keenan, J. H. Lichtman, H. Bueno, G. C. Schreiner, and H. M. Krumholz. 2010. Hospital volume and 30-day mortality for three common medical conditions. New England Journal of Medicine 362:1110–1118.
   PubMed Web of Science ®Google Scholar