Impact of alternative approaches to assess outlying and influential observations on health care costs

SpringerPlus

Volumn 2, Issue 1, 2013, Pages 1-11

  Weichle, Thomas ^a   Hynes, Denise M ^a,b,c   Durazo Arvizu, Ramon ^a,d   Tarlov, Elizabeth ^a   Zhang, Qiuying ^a  

^a HINES VA HOSPITAL   (United States)

^b UNIVERSITY OF ILLINOIS   (United States)

^c UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^d LOYOLA UNIVERSITY CHICAGO   (United States)

Author keywords

Colon cancer; Episode of care; Health care costs; Influential observations; Outliers

Indexed keywords

EID: 84891438932     PISSN: None     EISSN: 21931801     Source Type: Journal    
DOI: 10.1186/2193-1801-2-614     Document Type: Article

References (29)

1. Barber J., Thompson S (2004) Multiple regression of cost data: use of generalised linear models. J Health Serv Res Policy 9(4):197-204, 10.1258/ 1355819042250249
2. Barnett V., Lewis T (1994) Outliers in Statistical Data, 3rd edn. John Wiley & Sons, Chichester, England
3. Basu A., Polsky D, Manning WG (2011) Estimating treatment effects on healthcare costs under exogenicity: is there a "magic bullet"? Health Serv Outcomes Res Methodol 11:1-26
4. Belsley D.A., Kuh E, Welsch RE (1980) Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. John Wiley, New York
5. Blough D.K., Ramsey SD (2000) Using generalized linear models to assess medical care costs. Health Serv Outcomes Res Methodol 1(2):185-202, 10.1023/ a:1012597123667
6. Bureau of Labor Statitics, U.S. Department of Labor Consumer Price Index (2012) http://www.bls.gov/cpi/. Accessed March 5, 2012
7. Charlson M.E., Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbodity in longiduinal studies: development and validation. J Chronic Dis 40:373-383
8. Choi S-W (2009) The effect of outliers on regression analysis: regime type and foreign direct investment. Q J Political Sci 4:153-165
9. Cohen S.B., Yu W (2012) Statistical Brief #354: The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates for the U.S. Population, 2008-2009, vol March 29, 2012. Agency for Healthcare Research and Quality, Rockville, MD
10. Cots F., Elvira D, Castells X, Saez M (2003) Relevance of outlier cases in case mix systems and evaluation of trimming methods. Health Care Manag Sci 6:27-35
11. Fox J (1991) Regression Diagnostics. Sage Publications, Newbury Park, CA
12. Gregori D., Petrinco M, Barbati G, Bo S, Desideri A, Zanetti R, Merletti F, Pagano E (2009) Extreme regression models for characterizing high-cost patients. J Eval Clin Pract 15(1):164-171, 10.1111/j.1365-2753.2008.00976. x
13. Hynes D.M., Tarlov E, Durazo-Arvizu R, Perrin R, Zhang Q, Weichle T, Ferreira MR, Lee T., Benson AB, Bhoopalam N, Bennett CL (2010) Surgery and adjuvant chemotherapy use among veterans with colon cancer: insights from a California study. J Clin Oncol 28(15):2571-2576, 10.1200/jco.2009.23.5200
14. Indurkhya A., Gardiner JC, Luo Z (2001) The effect of outliers on confidence interval procedures for cost-effectiveness ratios. Stat Med 20(9-10):1469-1477
15. Klabunde C.N., Potosky AL, Legler JM, Warren JL (2000) Development of a comorbidity index using physician claims data. J Clin Epidemiol 44:921-928
16. Klabunde C.N., Harlan LC, Warren JL (2006) Data sources for measuring comorbidity: a comparison of hospital records and medicare claims for cancer patients. Med Care 44(10):921-928, 10.1097/01. mlr.0000223480.52713. b9
17. Kutner M.H., Nachtsheim CJ, Neter J, Li W (2004) Applied Linear Statistical Models, 5th edn. McGraw-Hill/Richard D. Irwin, Inc., Chicago, Illinois
18. Manning W.G., Mullahy J (2001) Estimating log models: to transform or not to transform? J Health Econ 20(4):461-494
19. Mihaylova B., Briggs A, O'Hagan A, Thompson SG (2011) Review of statistical methods for analysing healthcare resources and costs. Health Econ 20 (8):897-916, 10.1002/hec.1653
20. Mullahy J (1998) Much ado about two: reconsidering retransformation and the two-part model in health econometrics. J Health Econ 17:247-281
21. Paddock S.M., Wynn BO, Carter GM, Buntin MB (2004) Identifying and accommodating statistical outliers when setting prospective payment rates for inpatient rehabilitation facilities. Health Serv Res 39(6 Pt 1):1859-1879, 10.1111/j.1475-6773.2004.00322. x
22. Phibbs C.S., Bhandari A, Yu W, Barnett PG (2003) Estimating the costs of VA ambulatory care. Med Care Res Rev 60(3 Suppl):54S-73S
23. Pirson M., Dramaix M, Leclercq P, Jackson T (2006) Analysis of cost outliers within APR-DRGs in a Belgian general hospital: two complementary approaches. Health Policy (Amsterdam) 76(1):13-25, 10.1016/j. healthpol.2005.04.008
24. Romano P.S., Roos LL, Jollis JG (1993) Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol 46(10):1075-1090
25. Rothman K.J., Greenland S, Lash TL (2008) Modern Epidemiology. Lippincott, Williams & Wilkins, Philadelphia, Pennsylvania
26. Tarlov E., Lee T, Weichle T, Durazo-Arvizu R, Zhang Q, Perrin R, Bentrem DJ, Hynes DM (2012) Reduced overall and event-free survival among colon cancer patients using dual system care. Cancer Epidemiol Biomakers Prev 21(12):2231-2241
27. Thomas J.W., Ward K (2006) Economic profiling of physician specialists: use of outlier treatment and episode attribution rules. Inquiry 43(3):271-282
28. Tukey JL (1962) The future of data analysis. Ann Math Stat 23(1):1-67
29. Wagner T.H., Chen S, Barnett PG (2003) Using average cost methods to estimate encounter-level costs for medical-surgical stays in the VA. Med Care Res Rev 60(3 Suppl):15S-36S