Skip to main content

Advertisement

Log in

Financial Status, Employment, and Insurance Among Older Cancer Survivors

  • Original Article
  • Published:
Journal of General Internal Medicine Aims and scope Submit manuscript

ABSTRACT

BACKGROUND

Few data are available about the socioeconomic impact of cancer for long-term cancer survivors.

OBJECTIVES

To investigate socioeconomic outcomes among older cancer survivors compared to non-ancer patients.

DATA SOURCE

2002 Health and Retirement Study.

STUDY DESIGN

We studied 964 cancer survivors of > 4 years and 14,333 control patients who had never had cancer from a population-based sample of Americans ages ≥ 55 years responding to the 2002 Health and Retirement Study.

MEASURES

We compared household income, housing assets, net worth, insurance, employment, and future work expectations.

ANALYSES

Propensity score methods were used to control for baseline differences between cancer survivors and controls.

RESULTS

Female cancer survivors did not differ from non-cancer patients in terms of income, housing assets, net worth, or likelihood of current employment (all P > 0.20); but more were self-employed (25.0% vs. 17.7%; P = 0.03), and fewer were confident that if they lost their job they would find an equally good job in the next few months (38.4% vs. 45.9%; P = 0.03). Among men, cancer survivors and noncancer patients had similar income and housing assets (both P ≥ 0.10) but differed somewhat in net worth (P = 0.04). Male cancer survivors were less likely than other men to be currently employed (25.2% vs. 29.7%) and more likely to be retired (66.9% vs. 62.2%), although the P value did not reach statistical significance (P = 0.06). Men were also less optimistic about finding an equally good job in the next few months if they lost their current job (33.5% vs. 46.9%), although this result was not significant (P = 0.11).

CONCLUSIONS

Despite generally similar socioeconomic outcomes for cancer survivors and noncancer patients ages ≥55 years, a better understanding of employment experience and pessimism regarding work prospects may help to shape policies to benefit cancer survivors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Center for Disease Control and Prevention (CDC). Cancer survivorship—United States 1971–2001. In: 526–29MMWR Morb Mortal Wkly Rep. 2004; 53.

  2. Jemal A, Siegel R, Ward E, et al. Cancer statistics, 2008. CA Cancer J Clin. 2008;58(2):71–96.

    Article  PubMed  Google Scholar 

  3. Ries LAG, Harkins D, Krapcho M, et al. (eds). SEER Cancer Statistics Review, 1975–2003, National Cancer Institute. Bethesda, MD (based on November 2005 SEER data submission, posted to the SEER web site, 2006). Available at: http://seer.cancer.gov/csr/1975_2003/. Accessed May 26, 2009.

  4. Keating NL, Norredam M, Landrum MB, Huskamp HA, Meara E. Physical and mental health status of older long-term cancer survivors. J Am Geriatr Soc. 2005;53:2145–52.

    Article  PubMed  Google Scholar 

  5. Institute of Medicine. From cancer patient to cancer survivor: lost in transition. Washington, D.C.: National Academy Press; 2005.

    Google Scholar 

  6. Smith JP. Healthy bodies and thick wallets: the dual relat;on between health and economic status. J Econ Perspect. 1999;13:144–66.

    CAS  PubMed  Google Scholar 

  7. Drolet M, Maunsell E, Brisson J, Brisson C, Masse B, Deschenes L. Not working 3 years after breast cancer: predictors in a population-based study. J Clin Oncol. 2005;23:8305–12.

    Article  PubMed  Google Scholar 

  8. 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;96:1813–22.

    Article  PubMed  Google Scholar 

  9. Bradley CJ, Bednarek HL, Neumark D. Breast cancer survival, work, and earnings. J Health Econ. 2002;21:757–79.

    Article  PubMed  Google Scholar 

  10. Bradley CJ, Neumark D, Bednarek HL, Schenk M. Short-term effects of breast cancer on labor market attachment: results from a longitudinal study. J Health Econ. 2005;24:137–60.

    Article  PubMed  Google Scholar 

  11. Vartanian JG, Carvalho AL, Toyota J, Kowalski IS, Kowalski LP. Socioeconomic effects of and risk factors for disability in long-term survivors of head and neck cancer. Arch Otolaryngol Head Neck Surg. 2006;132:32–35.

    Article  PubMed  Google Scholar 

  12. Bradley CJ, Neumark D, Luo Z, Bednarek H, Schenk M. Employment outcomes of men treated for prostate cancer. J Natl Cancer Inst. 2005;97:958–965.

    PubMed  Google Scholar 

  13. Short PF, Mallonee EL. Income disparities in the quality of life of cancer survivors. Med Care. 2006;44:16–23.

    Article  PubMed  Google Scholar 

  14. Health and Retirement Study. 2002 public use dataset. Produced and distributed by the University of Michigan with funding from the National Institute on Aging (grant number NIA U01AG09740). Ann Arbor,MI; 2005.

  15. Heeringa SG, Connor JH. Technical description of the health and retirement survey sample design. Ann Arbor: Univeristy of Michigan, 1995. Available at: http://hrsonline.isr.umich.edu/docs/userg/HRSSAMP.pdf. May 26, 2009.

  16. Melchior M, Moffitt TE, Milne BJ, Poulton R, Capsi A. Why do children from socioeconomically disadvantaged families suffer from poor health when they reach adulthood? A life-course study. Am J Epidemiol. 2007;166(8):966–74.

    Article  PubMed  Google Scholar 

  17. Poulton R, Caspi A, Milne BJ, Thompson WM, Taylor A, Sears MR, Moffitt TE. Association between children’s experience of socioeconomic disadvantage and adult health: a life-course study. Lancet. 2002;360(9346):1640–45.

    Article  PubMed  Google Scholar 

  18. Rosenbaum PR, Rubin DB. Reducing bias in observational studies using subclassifications on the propensity score. JASA. 1984;79:516–24.

    Google Scholar 

  19. Rubin DB. Estimating causal effects from large data sets using propensity scores. Ann Intern Med. 1997;127:757–63.

    CAS  PubMed  Google Scholar 

  20. Keating NL, Weeks JC, Landrum MB, Borbas C, Guadagnoli E. Discussion of treatment options for early-stage breast cancer: effect of provider specialty on type of surgery and satisfaction. Med Care. 2001;39(7):681–91.

    Article  CAS  PubMed  Google Scholar 

  21. Ayanian JZ, Landrum MB, Guadagnoli E, Gaccione P. Specialty of ambulatory care physicians and mortality among elderly patients after myocardial infarction. N Engl J Med. 2002;347(21):1678–86.

    Article  PubMed  Google Scholar 

  22. MacKenzie EJ, Rivara FP, Jurkovich GJ, et al. A national evaluation of the effect of trauma-center care on mortality. N Engl J Med. 2006;354:366–378.

    Article  CAS  PubMed  Google Scholar 

  23. McWilliams JM, Zaslavsky AM, Meara E, Ayanian JZ. Health insurance coverage and mortality among the near-elderly. Health Aff. 2004;4:223–33.

    Article  Google Scholar 

  24. McWilliams JM, Meara E, Zaslavsky AM, Ayanian JZ. Use of health services by previously uninsured Medicare beneficiaries. N Engl J Med. 2007;357:143–53.

    Article  CAS  PubMed  Google Scholar 

  25. McWilliams JM, Zaslavsky AM, Meara E, Ayanian JZ. Health of previously uninsured adults after acquiring Medicare coverage. JAMA. 2007;298(24):2886–94.

    Article  CAS  PubMed  Google Scholar 

  26. Rubin DB. Using multivariate matched sampling and regression adjustment to control bias in observational studies. J Am Stat Assoc. 1979;74:318–28.

    Article  Google Scholar 

  27. Li F, Zaslavsky AM, Landrum MB. Propensity score analysis with hierarchical data. Proc Joint Stat Meetings, American Statistical Association. 2007.

  28. Hirano K, Imbens GW. Estimation of causal effects using propensity score weighting: an application to data on right heart catheterization. Health Serv Outcomes Res Methodol. 2001;2:259–78.

    Article  Google Scholar 

  29. Farley Short P, Vasey JJ, Moran JR. Long-term effects of cancer survivorship on the employment of older workers. Health Serv Res. 2008;43:193–210.

    Article  PubMed  Google Scholar 

  30. Yabroff KB, 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(17):1322–30.

    Article  PubMed  Google Scholar 

  31. Sabatino SA, Coates RJ, Uhler RJ, Alley LG, Pollack LA. Health insurance coverage and cost barriers to needed medical care among U.S adult cancer survivors age < 65 years. Cancer. 2006;106:2466–75.

    Article  PubMed  Google Scholar 

  32. Pelusi J. The lived experience of surviving breast cancer. Oncol Nurs Forum. 1997;24:1343–53.

    CAS  PubMed  Google Scholar 

  33. Bednarek HL, Bradley CJ. Work and retirement after cancer diagnosis. Res Nurs Health. 2005;28:126–35.

    Article  PubMed  Google Scholar 

  34. de Boer A, Taskila T, Ojajärvi A, van Dijk F, Verbeek J. Cancer survivors and unemployment: a meta-analysis and meta-regression. JAMA. 2009;301:753–62.

    Article  PubMed  Google Scholar 

  35. Short PF, Vasey JJ, Tunceli K. Employment pathways in a large cohort of adult cancer survivors. Cancer. 2005;103:1292–1301.

    Article  PubMed  Google Scholar 

  36. Katz JN, Chang LC, Sangha O, Fossel AH, Bates DW. Can comorbidity be measured by questionnaire rather than medical record review? Med Care. 1996;34:73–84.

    Article  CAS  PubMed  Google Scholar 

  37. Klabunde CN, Reeve BB, Harlan LC, Davis WW, Potosky AL. Do patients consistently report comorbid conditions over time? Results from the Prostate Cancer Outcomes Study. Med Care. 2005;43:391–400.

    Article  PubMed  Google Scholar 

  38. Abraham L, Geller BM, Yankaskas BC, Bowles EJ, Karliner LS, Taplin SH, Miglioretti DL. Accuracy of self-reported breast cancer among women undergoing mammography. Breast Cancer Res Treat. 2009;Mar 20 [Epub ahead of print.

Download references

Conflict of Interest Statement

There is no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marie Norredam MD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Norredam, M., Meara, E., Landrum, M.B. et al. Financial Status, Employment, and Insurance Among Older Cancer Survivors. J GEN INTERN MED 24 (Suppl 2), 438–445 (2009). https://doi.org/10.1007/s11606-009-1034-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11606-009-1034-5

KEY WORDS

Navigation