Duración de la estadía hospitalaria, tasa de readmisión y reembolso después de la lobectomía pulmonar

Bibliografía
1.    Patient Protection and Affordable Care Act, Pub. L. No. 111-148, x2702, 124 Stat. 2010;119:318–9.
2.    Handy JR, Child AI, Grunkemeier GL. Hospital readmission after pulmonary resection: prevalence, patterns, and predisposing characteristics. Ann Thorac Surg 2001;72:1855–9.
3.    Freeman RK, Dilts JR, Ascioti AJ, Giannini T, Mahidhara RS. A comparison of quality and cost indicators by surgical specialty for lobectomy of the lung. J Thorac Cardiovasc Surg 2013;145:68–74.
4.    Oken MM, Creech RH, Tormey DC. Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol 1982;5:649–55.
5.    Iezzoni LI. Risk adjustment for measuring health care outcomes. Chicago: Health Administration Press; 2003.
6.    Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005;43:1130–9.
7.    National average DRG rates. United States Federal Register 2011;76:51475–846.
8.    Hospital expenses per inpatient day. American Hospital Association annual survey 2010. Available at: http://www.ahaonlinestore.com/productdisplay.asp?productid¼637.
9.    Cleverley W, Cleverley JO, Song PH. Essentials of health care finance. Burlington, MA: Jones and Bartlett; 2010:149–53.
10.    Ashby JL. The accuracy of cost measures derived from Medicare cost reports. Reprinted in: Cost accounting for health care organizations. Gaithersburg, MD: Aspen Publishers; 1994.
11.    Bryk AS, Raudenbush SW. Hierarchical linear models. Advanced quantitative techniques in the social sciences. Newbury Park, CA: Sage Publications; 1992:265.
12.    Kreft IGG, De Leeuw J, Aiken LS. The effect of different forms of centering in hierarchical linear models. Multivar Behav Res 1995;30:1–21.
13.    Allen MS, Darling GE, Pechet TT, et al. Morbidity and mortality of major pulmonary resections in patients with early stage lung cancer: initial results of the randomized, prospective ASOSOG Z0030 trial. Ann Thorac Surg 2006;81: 1013–20.
14.    The Advisory Board. Outlook for thoracic surgery. Washington, DC, 2009.
15.    Amin BY, Tu TH, Schairer WW, et al. Pitfalls of calculating hospital readmission rates based on nonvalidated administrative data sets. Spine 2012 Nov 27 [E-pub ahead of print].
16.    AHIP Center for Policy and Research. Working paper: simple methods of measuring hospital readmission rates, March 2012. Available at: ahipresearch.org.
17.    Kansagara D, Englander H, Salnitro A, et al. Risk prediction models for hospital readmission: a systematic review. JAMA 2011;306:1688–98.
18.    Joynt KE, Orav EJ, Jha AK. Thirty-day readmission rates for Medicare beneficiaries by race and site of care. JAMA 2011;305:675–81.
19.    Allaudeen N, Vidyarthi A, Maselli J, Auerbach A. Redefining readmission risk factors for general medicine patients. J Hosp Med 2011;6:54–60.
20.    Mudge AM, Kasper K, Clair A, et al. Recurrent readmissions in medical patients: a prospective study. J Hosp Med 2011;6: 61–7.
21.    Kassin MT, Owne RM, Perez SD, et al. Risk factors for 30-day hospital readmission among general surgery patients. J Am Coll Surg 2012;215:322.
22.    Wright CD, Gaissert HA, Grab JD, et al. Predictors of prolonged length of stay after lobectomy for lung cancer: a Society of Thoracic Surgeons general thoracic surgery database risk-adjustment model. Ann Thorac Surg 2008;85: 1857–65.