Health care expenditures, hospitalizations, and productivity associated with cancer in US employer settings

Journal of Occupational and Environmental Medicine

Volumn 54, Issue 12, 2012, Pages 1453-1460

  Tang, Derek H ^a   Alberts, David S ^b   Nevins, Rick ^c   Sullivan, Sean ^b   Skrepnek, Grant H ^b  

^a UNIVERSITY OF ARIZONA   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

^c Institute for Health and Productivity Management Arizona   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BLADDER CANCER; BREAST CANCER; BRONCHUS CANCER; COLON CANCER; CROSS-SECTIONAL STUDY; DISABILITY; ENDOMETRIUM CANCER; FEMALE; HEALTH CARE COST; HOSPITALIZATION; HUMAN; KIDNEY CANCER; KIDNEY PELVIS CANCER; LEUKEMIA; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; MELANOMA; NEOPLASM; NONHODGKIN LYMPHOMA; PRODUCTIVITY; PROSTATE CANCER; RECTUM CANCER; RETROSPECTIVE STUDY; UNITED STATES; UTERINE CERVIX CANCER;

ADOLESCENT; ADULT; COHORT STUDIES; COST OF ILLNESS; CROSS-SECTIONAL STUDIES; EFFICIENCY; FEMALE; HEALTH EXPENDITURES; HOSPITALIZATION; HUMANS; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEOPLASMS; REGRESSION ANALYSIS; RETROSPECTIVE STUDIES; SICK LEAVE; UNITED STATES; YOUNG ADULT;

EID: 84871794333     PISSN: 10762752     EISSN: 15365948     Source Type: Journal    
DOI: 10.1097/JOM.0b013e31827943e0     Document Type: Article

References (62)

1. US National Cancer Institute. Available at: http://cancer.gov. Accessed February 23, 2012.
2. Hewitt M, Greenfield S, Stovall E, eds. From Cancer Patient to Cancer Survivor: Lost in Transition. Washington, DC: The National Academies Press; 2006.
3. Voelker R, ed. Living, Coping, andWorking with Cancer. Business and Health. Vol 3. Montvale, NJ: Medical Economics Company; 1999.
4. Spelten ER, Sprangers MA, Verbeek JH. Factors reported to influence the return to work of cancer survivors: a literature review. Psychooncology. 2002;11:124-131.
5. Tangka FK, Trogdon JG, Richardson LC, et al. Cancer treatment cost in the United States: has the burden shifted over time? Cancer. 2010;116:3477-3484.
6. Trentham-Dietz A, Sprague BL, Klein R, et al. Health-related quality of life before and after a breast cancer diagnosis. Breast Cancer Res Treat. 2008;109:379-387.
7. Park SY, Bae D, Nam JH, et al. Quality of life and sexual problems in disease-free survivors of cervical cancer compared with the general population. Cancer. 2007;110:2716-2725.
8. Barnett A, Birnbaum H, Cremieux P, Fendrick M, Slavin M. The costs of cancer to a major employer in the United States: a case-control analysis. Am J Manag Care. 2000;6:1243-1251.
9. Lipscomb J, Gotay CC, SnyderC. Outcomes Assessment in Cancer: Measures, Methods, and Applications. Cambridge, UK: Cambridge University Press; 2005.
10. Bradley CJ, Yabroff KR, Dahman B, Feuer EJ, Mariotto A, Brown ML. Productivity costs of cancer mortality in the United States: 2000-2020. J Natl Cancer Inst. 2008;100:1763-1770.
11. Yabroff KR, Lawrence WF, Clauser S, Davis WW, Brown ML. Burden of illness in cancer survivors: findings from a population-based national sample. J Natl Cancer Inst. 2004;96:1322-1330.
12. Goetzel RZ,Hawkins K, Ozminkowski RJ,Wang S. The health and productivity cost burden of the "top 10" physical and mental health conditions affecting six large U.S. employers in 1999. J Occup Environ Med. 2003;45:5-14.
13. Ferlay J, Shin H, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127:2893-2917.
14. Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ. Cancer statistics. Ca Cancer J Clin. 2009;59:225-249.
15. US National Cancer Institute. Surveillance Epidemiology and End Results. SEER Stat Fact Sheets: All Sites. Available at: http://seer.cancer.gov/ statfacts/html/all.html. Accessed, March 15, 2011.
16. Mariotto AB, Yabroff KR, Shao Y, Feuer EJ, Brown ML. Projections of the cost of cancer care in the United States: 2010-2020. J Natl Cancer Inst. 2011;103:117-128.
17. Doubeni CA, Field TS,Yood MU, et al. Patterns and predictors of mammography utilization among breast cancer survivors. Cancer. 2006;106:2482-2488.
18. Yu W, Ravelo A, Wagner TH, Barnett PG. The relationships among age, chronic conditions, and healthcare costs. Am J Manag Care. 2004;10:909- 916.
19. Lipscomb J, Donaldson MS, Arora Nk, et al. Cancer Outcomes Research. J Nat Cancer Inst Monogr. 2004;33:178-197.
20. Fryback DG, Craig BM. Measuring economic outcomes of cancer. J Nat Cancer Inst Monogr. 2004;33:134-141.
21. Institute of Medicine. Assessing and Improving Value in Cancer Care: Workshop Summary. Washington, DC: The National Academies Press; 2009.
22. Skrepnek GH. Balancing cost, quality, and access to care among payers, providers, and patients: the Sword of Damocles. AZ Med. 2008:18-27.
23. Park J, Park E, Park J, Kim S, Lee S. Job loss and re-employment of cancer patients in Korean employees: a nationwide retrospective cohort study. J Clin Oncol. 2008;26:1302-1309.
24. Pryce J,Munir F, Haslam C. Cancer survivorship and work: symptoms, supervisor, response, co-worker disclosure and work adjustment. J Occup Rehabil. 2007;17:83-92.
25. Bouknight RR, Bradley CJ, Luo Z. Correlates of return to work for breast cancer survivors. J Clin Oncol. 2006;24:345-353.
26. Munir F, Yarker J, McDermott H. Employment and the common cancers: correlates of work ability during or following cancer treatment. Occup Med. 2009;59:381-389.
27. US Agency for Healthcare Research and Quality. Medical Panel Expenditure Survey. Available at: http://www.meps.ahrq.gov/mepsweb. Accessed March 15, 2011.
28. Berger AN, Rosen RJ, Udell GF. Does market size structure affect competition? The case of small business lending. J Bank Financ. 2007;31:11-33.
29. Escorpizo R, Bombardier C, Boonen A, et al. Worker productivity outcome measures in arthritis. J Rheumatol. 2007;34:1372-1380.
30. Kessler RC, Greenberg PE, Mickelson KD, Meneades LM, Wang PS. The effects of chronic medical conditions on work loss and work cutback. J Occup Environ Med. 2001;43:218-225.
31. Steiner JF, Cavender TA, Main DS,Bradley CJ.Assessing the impact of cancer on work outcomes. What are the research needs? Cancer. 2004;101:1703- 1711.
32. Maunsell E, Drolet M, Brisson J, Brisson C, Masse B, Deschenes L. Work situation after breast cancer: results from a population-based study. J Natl Cancer Inst. 2004;96:1813-1822.
33. Bradley CJ, Neumark D, Luo Z, SchenkM. Employment and cancer: findings from a longitudinal study of breast and prostate cancer survivors. Cancer Invest. 2007;25:47-54.
34. Gudbergsson SB, Fossa SD, Borgerass E, Dahl AA. A comparative study of living conditions in cancer patients who have returned to work after curative treatment. Support Care Cancer. 2006;14:1020-1029.
35. Short PF, Vasey JJ, Moran Jr. Long-term effects of cancer survivorship on the employment of older workers. Health Serv Res. 2008;42:193-210.
36. Steiner JF, Cavender TA, Nowels CT, et al. The impact of physical and psychosocial factors on work characteristics after cancer. Psychooncology. 2008;17:138-147.
37. Skrepnek GH, Nevins R, Sullivan S.An assessment of health andwork productivity measurement in employer settings. Pharm Policy Law. 2012;14:37-49.
38. D'HooreW, BouckaertA, Tilquin C. Practical considerations on the use of the Charlson comorbidity index with administrative databases. J Clin Epidemiol. 1996;49:1429-1433.
39. Charlson ME, Pompei P, Ales KL, Mackenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chron Dis. 1987;40:373-383.
40. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for usewith ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45:613- 619.
41. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36:8-27.
42. Harrell FE Jr. Regression Modeling Strategies with Applications to Linear Models, Logistic Regression, and Survival Analysis. New York, NY: Springer- Verlag; 2001.
43. United States Department of Labor. Bureau of Labor Statistics. Available from: http://www.bls.gov/data. Updated 2011: Accessed, May 2012.
44. Skrepnek GH. Regression methods in the empirical analysis of health care data. J Managed Care Pharm. 2005;11:240-251.
45. Skrepnek GH, Olvey EL, Sahai A. Econometric approached in evaluating costs and outcomes within pharmacoeconomic analyses. Pharm Policy Law. 2012;14:105-122.
46. Puhani P. The Heckman correction for sample selection and its critique: a short survey. J Econ Surv. 2000;14:53-68.
47. Messner C, Patterson D. The challenge of cancer in the workplace. Cancer Pract. 2001;9:50-51.
48. Fesko SL. Workplace experiences of individuals who are HIV+ and individuals with cancer. Rehabil Couns Bull. 2001;45:2-11.
49. Eyre H, Kahn R, Robertson RM, on behalf of the ACS/ADA/AHA Collaborative Writing Committee. Preventing Cancer, Cardiovascular Disease, and Diabetes. Diab Care. 2004;27:1812-1824.
50. Taskila T, Lindbohm ML. Factors affecting cancer survivors' employment and work ability. Acta Oncol. 2007;46:446-451.
51. De Boer AGEM, Verbeek JHAM, Spelten ER, et al. Work ability and return to work in cancer patients. Br J Cancer. 2008;98:1342-1347.
52. Henry DH, Viswanathan HN, Elkin PE, Traina S, Wade S, Cella D. Symptoms and treatment burden associated with cancer treatment: results from a cross-sectional national survey in the US. Support Care Cancer. 2008;16: 791-801.
53. Mols F, Helfenrath KA, Vingerhoets AJJM, Coebergh JWW, Van de Poll- Franse LV. Increased health care utilization among long-termcancer survivors compared to the average Dutch population: a population-based study. Int J Cancer. 2007;121:871-877.
54. U.S. Department of Health & Human Services. Agency for Healthcare Research and Quality - HCUPnet. http://hcupnet.ahrq.gov. Updated 2011. Accessed May 2011.
55. Institute of Medicine. Coverage Matters: Insurance and Health Care. Washington, DC: National Academy Press; 2001.
56. Seiber EE, Florence CS. Changes in Family Health Insurance Coverage for Small and Large FirmWorkers and Dependents: Evidence From 1995 to 2005. Washington, DC: US Small Business Administration Economic Research Studies Series; 2008.
57. Ayanian JZ, Kohler BA, Abe T, Epstein AM. The relation between health insurance coverage and clinical outcomes among women with breast cancer. N Engl J Med. 1993;329:326-331.
58. Lee-Feldstein A, Feldstein PJ, Buchmueller T, Katterhagen G. The relationship of HMOs, health insurance, and delivery systems to breast cancer outcomes. Med Care. 2000;38:705-718.
59. Ferrante JM, Gonzalez EC, Roetzheim RG, Pal N, Woodard L. Clinical and demographic predictors of late-stage cervical cancer. Arch Fam Med. 2000;9:439-445.
60. Roetzheim RG, Gonzalez EC, Ferrante JM, Pal N, Van Durme DJ, Krischer JP. Effects of health insurance and race on breast carcinoma treatments and outcomes. Cancer. 2000;89:2202-2213.
61. Penson DF, Stoddard ML, Pasta DJ, Lubeck DP, Flanders SC, Litwin MS. The association between socioeconomic status, health insurance coverage, and quality of life in men with prostate cancer. J Clin Epidemiol. 2001;54:350- 358.
62. Institute of Medicine. Care Without Coverage: Too Little, Too Late.Washington, DC: The National Academies Press; 2002.