Measuring the hospital length of stay/readmission cost trade-off under a bundled payment mechanism

Health Economics (United Kingdom)

Volumn 24, Issue 7, 2015, Pages 790-802

  Carey, Kathleen ^a  

^a BOSTON UNIVERSITY   (United States)

Author keywords

cost; hospital; length of stay; readmission

Indexed keywords

ADULT; AGED; ARTICLE; CLINICAL DECISION MAKING; CONCEPTUAL FRAMEWORK; COST CONTROL; COST MINIMIZATION ANALYSIS; FEMALE; HEALTH CARE COST; HEALTH CARE POLICY; HOSPITAL DISCHARGE; HOSPITAL PATIENT; HOSPITAL READMISSION; HOSPITALIZATION; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MEDICARE; PRIORITY JOURNAL; REIMBURSEMENT; AGE; ECONOMICS; HEALTH STATUS; MIDDLE AGED; SEX DIFFERENCE; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; UNITED STATES; VERY ELDERLY;

AGE FACTORS; AGED; AGED, 80 AND OVER; FEMALE; HEALTH STATUS; HUMANS; LENGTH OF STAY; MALE; MEDICARE; MIDDLE AGED; MODELS, ECONOMETRIC; NEW YORK; PATIENT READMISSION; REIMBURSEMENT MECHANISMS; SEX FACTORS; UNITED STATES;

EID: 84930349135     PISSN: 10579230     EISSN: 10991050     Source Type: Journal    
DOI: 10.1002/hec.3061     Document Type: Article

References (32)

1. Bound J, Jaeger DA, Baker RM,. 1995. Problems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak. Journal of the American Statistical Association 90: 443-450.
2. Buntin MB, Zaslavsky AM,. 2004. Too much ado about two-part models and transformation? Comparing methods of modeling. Journal of Health Economics 23: 525-542.
3. Carey K,. 2000. Hospital cost containment and length of stay: an econometric analysis. Southern Economic Journal 67: 363-380.
4. Carey K,. 2002. Hospital length of stay and cost: a multilevel modeling analysis. Health Services Outcomes and Research Methodology 28: 41-56.
5. Carey K, Stefos T,. 2011. Measuring the cost of hospital adverse patient safety events. Health Economics 20: 1417-1430.
6. Chandra A, Dalton MA, Holmes J,. 2013. Large increases in spending on postacute care in Medicare point to the potential for cost savings in these settings. Health Affairs 32: 864-872.
7. Cubanski J, Neuman P,. 2010. Medicare doesn't work as well for younger, disabled beneficiaries as it does for older enrollees. Health Affairs 29: 1725-1733.
8. Cutler DM,. 1995. The incidence of adverse medical outcomes under prospective payment. Econometrica 63: 29-50.
9. Cutler DM,. 2010. How health care reform must bend the cost curve. Health Affairs 29: 1131-1135.
10. Desharnais S, Hogan AJ, McMahon LF, Fleming S,. 1991. Changes in rates of unscheduled hospital readmissions and changes in efficiency following the introduction of the Medicare prospective payment system. Evaluation & the Health Professions 14: 228-252.
11. Fisher ES, Wennberg JE, Stukel TA, Skinner JS, Sharp SM, Freeman JL, Gittelsohn AM,. 2000. Health Services Research 34: 1351-1362.
12. Friedman B, Jiang J, Elixhauser A,. 2008. Costly hospital readmissions and complex chronic illness. Inquiry 45: 408-421.
13. Goodman DC, Fisher ES, Chang C,. 2011. After Hospitalization: A Dartmouth Atlas Report on Post-acute Care for Medicare Beneficiaries. Hanover NH: The Dartmouth Institute.
14. Hausman JA,. 1978. Specification tests in econometrics. Econometrica 46: 1251-1272.
15. Heggestad T,. 2002. Do hospital length of stay and staffing ratio affect elderly patients' risk of readmission: a nation-wide study of Norwegian hospitals. Health Services Research 37: 647-665.
16. Jencks SF, Williams MV, Coleman EA,. 2009. Rehospitalizations among patients in the Medicare fee-for-service program. The New England Journal of Medicine 360: 1418-1428.
17. Kahn JM, Werner RM, Carson SS, Iwashyna TJ,. 2012. Variation in long-term acute care hospital use after intensive care. Medical Care Research and Review 69: 339-350.
18. Kansagara D, Englander H, Salanitro A, Kagen D, Theobald C, Freeman M, Kripalani S,. 2011. Risk prediction models for hospital readmission: a systematic review. Journal of the American Medical Association 306: 1688-1698.
19. Leibson CL, Naessens JM, Campion ME, Krishan I, Ballard DJ,. 1991. Trends in elderly hospitalization and readmission rates for geographically defined population: pre- and post-prospective payment. Journal of the American Geriatrics Society 39: 895-904.
20. Liang KY, Zeger SL,. 1986. Longitudinal data analysis using generalized linear models. Biometrika 73: 13-22.
21. Manning WG, Mullahy J,. 2001. Estimating log models: to transform or not to transform? Journal of Health Economics 20: 461-494.
22. McCullagh P, Nelder JA,. 1989. Generalized Linear Models. Chapman & Hall: New York.
23. Medicare Payment Advisory Commission. 2004. Defining long-term care hospitals. In: Report to the Congress: New Approaches in Medicare.
24. Medicare Payment Advisory Commission. 2007. Payment policy for hospital readmissions. In: Report to the Congress: Promoting Greater Efficiency in Medicare.
25. Mullahy J,. 1998. Much ado about two: reconsidering retransformation and the two-part model in health econometrics. Journal of Health Economics 17: 247-281.
26. Murray MP,. 2006. Avoiding invalid instruments and coping with weak instruments. Journal of Economic Perspectives 20: 111-132.
27. Reinhardt UE,. 1996. Spending more through 'cost control:' our obsessive quest to gut the hospital. Health Affairs 15: 145-154.
28. Rosko MD, Mutter RL,. 2008. Stochastic frontier analysis of hospital inefficiency: a review of empirical issues and an assessment of robustness. Medical Care Research and Review 65: 131-166.
29. Shleifer A,. 1985. A theory of yardstick competition. Rand Journal of Economics 16: 319-327.
30. Staiger D, Stock JH,. 1997. Instrumental variables regressions with weak instruments. Econometrica 65: 557-86.
31. Stock JH, Watson MW,. 2003. Introduction to Econometrics. Addison-Wesley: Boston.
32. Stock JH, Yogo M,. 2005. Testing for weak instruments in IV regression. In: Identification and Inference for Econometric Models: A Festschrift in Honor of Thomas Rothenberg, Donald WK, Stock JH, (eds), Cambridge University Press: Cambridge, U.K.