Marginal costing methods highlight the contributing cost of comorbid conditions in Medicare patients: A quasi-experimental case-control study of ischemic stroke costs

Cost Effectiveness and Resource Allocation

Volumn 11, Issue 1, 2013, Pages

  Simpson, Annie N ^a   Bonilha, Heather S ^a,b   Kazley, Abby S ^a   Zoller, James S ^a   Ellis, Charles ^a,b  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Attributable cost; Ischemic stroke; Marginal cost; Methods; Rehabilitation

Indexed keywords

AGED; ARTICLE; BRAIN ISCHEMIA; CASE CONTROL STUDY; CHARLSON COMORBIDITY INDEX; COHORT ANALYSIS; COMORBIDITY; CONTROLLED STUDY; COST OF ILLNESS; DISEASE CLASSIFICATION; FEMALE; HEALTH CARE COST; HOSPITAL ADMISSION; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MEDICARE; RETROSPECTIVE STUDY; UNITED STATES;

EID: 84887563974     PISSN: None     EISSN: 14787547     Source Type: Journal    
DOI: 10.1186/1478-7547-11-29     Document Type: Article

References (23)

1. CDC National vital statistics report centers for disease control and prevention, national center for health statistics 2009, Hyattsville, MD: U.S. department of health and human services, 59:04. http://www.cdc.gov/nchs/products/nvsr.htm#vol59, CDC.
2. SC Office of Chronic Disease Epidemiology and Evaluation. Stroke in South Carolina http://www.scdhec.gov/administration/library/ML-002149.pdf. Updated 2009. Accessed 9/21, 2011.
3. Benesch C, Witter DM, Wilder AL, Duncan PW, Samsa GP, Matchar DB. Inaccuracy of the international classification of diseases (ICD-9-CM) in identifying the diagnosis of ischemic cerebrovascular disease. Neurology 1997, 49(3):660-664. 10.1212/WNL.49.3.660, 9305319.
4. AHA Heart and Stroke Statistical Update 2002, Dallas: American Heart Association, AHA.
5. Luengo-Fernandez R, Gray AM, Rothwell PM. Costs of stroke using patient-level data: A critical review of the literature. Stroke 2009, 40(2):e18-23. doi: 10.1161/STROKEAHA.108.529776, 10.1161/STROKEAHA.108.529776, 19109540.
6. Reker DM, Hamilton BB, Duncan PW, Yeh SJ, Rosen A. Stroke: Who's counting what?. J Rehabil Res Dev 2001, 38(2):281-289.
7. Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Sturmer T. Variable selection for propensity score models. Am J Epidemiol 2006, 163(12):1149-1156. doi: 10.1093/aje/kwj149, 10.1093/aje/kwj149, 1513192, 16624967.
8. Montez-Rath M, Christiansen CL, Ettner SL, Loveland S, Rosen AK. Performance of statistical models to predict mental health and substance abuse cost. BMC Med Res Methodol 2006, 6:53. doi: 10.1186/1471-2288-6-53, 10.1186/1471-2288-6-53, 1636059, 17067394.
9. Manning WG, Basu A, Mullahy J. Generalized modeling approaches to risk adjustment of skewed outcomes data. J Health Econ 2005, 24(3):465-488. doi: 10.1016/j.jhealeco.2004.09.011, 10.1016/j.jhealeco.2004.09.011, 15811539.
10. Stuart EA. Matching methods for causal inference: A review and a look forward. Stat Sci 2010, 25(1):1-21. 10.1214/09-STS313, 2943670, 20871802.
11. Rubin DB. Using propensity scores to help design observational studies: Application to the tobacco litigation. Health Serv Outcomes Res Methodol 2001, 2:169-188.
12. Consumer Price Index. Consumer price index - medical care services; databases and tools tab http://www.bls.gov/data/. Updated 2012. Accessed 3/21, 2012.
13. Taylor TN, Davis PH, Torner JC, Holmes J, Meyer JW, Jacobson MF. Lifetime cost of stroke in the united states. Stroke 1996, 27(9):1459-1466. 10.1161/01.STR.27.9.1459, 8784113.
14. Roger VL, Go AS, Lloyd-Jones DM, et al. Heart disease and stroke statistics-2011 update: A report from the american heart association. Circulation 2011, 123(4):e18-e209. doi: 10.1161/CIR.0b013e3182009701, 10.1161/CIR.0b013e3182009701, 21160056.
15. Lloyd-Jones D, Adams RJ, Brown TM, et al. Executive summary: Heart disease and stroke statistics-2010 update: A report from the american heart association. Circulation 2010, 121(7):948-954. doi: 10.1161/CIRCULATIONAHA.109.192666.
16. Lloyd-Jones D, Adams R, Carnethon M, et al. Heart disease and stroke statistics-2009 update: A report from the American heart association statistics committee and stroke statistics subcommittee. Circulation 2009, 119(3):e21-181. doi: 10.1161/CIRCULATIONAHA.108.191261.
17. Rosamond W, Flegal K, Furie K, et al. Heart disease and stroke statistics-2008 update: A report from the american heart association statistics committee and stroke statistics subcommittee. Circulation 2008, 117(4):e25-146. doi: 10.1161/CIRCULATIONAHA.107.187998.
18. Rosamond W, Flegal K, Friday G, et al. Heart disease and stroke statistics-2007 update: A report from the american heart association statistics committee and stroke statistics subcommittee. Circulation 2007, 115(5):e69-171. doi: 10.1161/CIRCULATIONAHA.106.179918, 10.1161/CIRCULATIONAHA.106.179918, 17194875.
19. Bueno H, Ross JS, Wang Y, et al. Trends in length of stay and short-term outcomes among Medicare patients hospitalized for heart failure, 1993-2006. JAMA 2010, 303(21):2141-2147. doi: 10.1001/jama.2010.748, 10.1001/jama.2010.748, 3020983, 20516414.
20. Clarke A, Rosen R. Length of stay, how short should hospital care be?. Eur J Public Health 2001, 11(2):166-170. 10.1093/eurpub/11.2.166, 11420803.
21. Kominski GF, Witsberger C. Trends in length of stay for medicare patients: 1979-87. Health Care Financ Rev 1993, 15(2):121-135.
22. Samsa GP, Bian J, Lipscomb J, Matchar DB. Epidemiology of recurrent cerebral infarction: A medicare claims-based comparison of first and recurrent strokes on 2-year survival and cost. Stroke 1999, 30(2):338-349. 10.1161/01.STR.30.2.338, 9933269.
23. Hall MJ, Levant S, DeFrances CJ. Hospitalization for stroke in U.S. hospitals, 1989-2009. NCHS data brief, no 95 2012, Hyattsville, MD: National Center for Health Statistics.