title: State-level estimates of cancer-related absenteeism costs.
abstract: BACKGROUND
  Cancer is one of the top five most costly diseases in the United States and leads to substantial work loss. Nevertheless, limited state-level estimates of cancer absenteeism costs have been published.
  
  
  METHODS
  In analyses of data from the 2004-2008 Medical Expenditure Panel Survey, the 2004 National Nursing Home Survey, the U.S. Census Bureau for 2008, and the 2009 Current Population Survey, we used regression modeling to estimate annual state-level absenteeism costs attributable to cancer from 2004 to 2008.
  
  
  RESULTS
  We estimated that the state-level median number of days of absenteeism per year among employed cancer patients was 6.1 days and that annual state-level cancer absenteeism costs ranged from $14.9 million to $915.9 million (median = $115.9 million) across states in 2010 dollars. Absenteeism costs are approximately 6.5% of the costs of premature cancer mortality.
  
  
  CONCLUSIONS
  The results from this study suggest that lost productivity attributable to cancer is a substantial cost to employees and employers and contributes to estimates of the overall impact of cancer in a state population.
authors: Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA 30341-3717, USA. ftangka@cdc.gov
authors: Florence K
authors: FK
authors: Tangka
authors: Justin G
authors: JG
authors: Trogdon
authors: Isaac
authors: I
authors: Nwaise
authors: Donatus U
authors: DU
authors: Ekwueme
authors: Gery P
authors: GP
authors: Guy
authors: Diane
authors: D
authors: Orenstein
mesh_terms: D000041:Absenteeism; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016010:Binomial Distribution; D017281:Cost of Illness; D004526:Efficiency; D005260:Female; D006306:Health Surveys; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000191:economics*; D012456:Salaries and Fringe Benefits / Q000706:statistics & numerical data; D018582:Sick Leave / Q000191:economics / Q000706:statistics & numerical data; D014481:United States; D055815:Young Adult
references: J Occup Environ Med. 2012 Jul;54(7):792-805
references: 22796923
references: Am J Manag Care. 2000 Nov;6(11):1243-51
references: 11185849
references: Cancer. 2004 Oct 15;101(8):1703-11
references: 15386303
references: Breast Cancer Res Treat. 2011 Nov;130(1):235-42
references: 21567238
references: Health Aff (Millwood). 2003 Jan-Jun;Suppl Web Exclusives:W3-189-98
references: 14527252
references: J Natl Cancer Inst. 2008 Dec 17;100(24):1763-70
references: 19066273
references: Inquiry. 1996-1997 Winter;33(4):373-89
references: 9031653
references: J Health Econ. 2005 Jan;24(1):137-60
references: 15617792
references: J Occup Environ Med. 2006 Feb;48(2):135-48
references: 16474262
references: Psychooncology. 2006 Aug;15(8):739-47
references: 16374893
references: Am J Manag Care. 2012 Sep;18(9):525-32
references: 23009303
references: J Occup Environ Med. 2008 Jul;50(7):777-84
references: 18617833
references: J Natl Cancer Inst. 2008 Jun 18;100(12):888-97
references: 18544740
references: Cancer. 2004 Mar 1;100(5):883-91
references: 14983481
references: J Occup Environ Med. 2011 Dec;53(12):1472-7
references: 22045222
references: J Natl Cancer Inst. 2011 Jan 19;103(2):117-28
references: 21228314
references: Cancer. 2010 Jul 15;116(14):3477-84
references: 20564103
references: Am J Manag Care. 2009 Nov;15(11):801-6
references: 19895184
references: Health Serv Res. 2008 Aug;43(4):1442-52
references: 18248403
references: J Clin Oncol. 2004 Sep 1;22(17):3524-30
references: 15337801
references: J Natl Cancer Inst. 2008 May 7;100(9):630-41
references: 18445825
references: Int J Health Serv. 2005;35(2):343-59
references: 15934169
references: Cancer. 2013 Jun 15;119(12):2309-16
references: 23559348