Abstract
Objective: Anaemia is a common haematological complication of cancer and cytotoxic treatment. The incremental economic burden associated with medical care and short-term disability of anaemia in patients with malignancy and receiving chemotherapy has not been well documented. This study evaluates the effect of anaemia on the costs associated with cancer treated with chemotherapy.
Methods: Patients receiving chemotherapy within 6 months of their initial cancer diagnosis were identified in a commercial claims database for 1999–2000. Data for these individuals were linked to their employers’ short-term disability records via unique encrypted personal identification numbers provided by employers. Patients with anaemia were identified by a diagnosis of anaemia or treatment with transfusion or erythropoietin alfa (EPO). Healthcare expenditure and short-term disability leave were observed for up to 6 months following initial cancer diagnosis and were summarised into monthly averages. Exponential conditional mean models and zero-inflated negative binomial models were used to analyse mean monthly healthcare expenditures and short-term disability days.
Results: Twenty-five percent of the 619 newly diagnosed cancer patients treated with chemotherapy had anaemia. The presence of anaemia and longer length of transfusion therapy were associated with increased expenditures, while longer length of EPO treatment was associated with lower expenditures. The incremental costs due to anaemia among patients receiving chemotherapy were $US5538 (year 2001 values) per month in the first 6 months following cancer diagnosis, 10.8% of which were costs related to short-term disability leave.
Conclusion: Anaemia in patients undergoing chemotherapy presents a substantial burden to employers and payers. The findings also suggest that patients with anaemia treated with erythropoietin alfa can achieve expenditure levels similar to those patients without anaemia.
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References
Bron D, Meuleman N, Mascaux C. Biological basis of anemia. Semin Oncol 2001; 28 (2 Suppl. 8): 1–6
Groopman JE, Itri LM. Chemotherapy-induced anemia in adults: incidence and treatment. J Nall Cancer Inst 1999; 91: 1616–34
Ziegler J. When cancer comes to work. Business and Health 1998; 16 (7): 34–7
Carelle N, Piotto E, Bellanger A, et al. Changing patient perceptions of the side effects of cancer chemotherapy. Cancer 2002; 95: 155–63
Berndt E, Kallich J, McDermot A et al. Reductions in anaemia and fatigue are associated with improvements in productivity. Pharmacoeconomics. In press.
Broadhead WE, Blazer DG, George LK, et al. Depression, disability days, and days lost from work in a prospective epidemiologic survey. JAMA 1990; 264: 2524–8
Comstock GW, Stone RW, Tonascia JA, et al. Respiratory survey findings as predictors of disability from respiratory diseases. Am Rev Respir Dis 1981; 124 (4): 367–71
Crystal-Peters J, Crown WH, Goetzel RZ, et al. The cost of productivity losses associated with allergic rhinitis. Am J Manag Care 2000; 6: 373–8
Persson U. The indirect costs of morbidity in type II diabetic patients. Pharmacoeconomics 1995; 8 Suppl. 1: 28–32
Guo HR, Tanaka S, Halperin WE, et al. Back pain prevalence in US industry and estimates of lost workdays. Am J Public Health 1999; 89 (7): 1029–35
Rapoport AM, Adelman JU. Cost of migraine management: a pharmacoeconomic overview. Am J Manag Care 1998; 4 (4): 531–45
Michel P, Dartigues IF, Duru G, et al. Incremental absenteeism due to headaches in migraine: results from the Mig-Access French national cohort. Cephalalgia 1999; 19 (5): 503–10
Hu XH, Markson LE, Lipton RB, et al. Burden of migraine in the United States: disability and economic costs. Arch Intern Med 1999; 1999: 813–8
Oxterhaus IT, Gutterman DL, Plachetka JR. Healthcare resource and lost labor costs of migraine headache in the US. Pharmacoeconomics 1992; 2 (1): 67–76
Cremieux PY, Slavin MB, Fendrick M, et al. The costs of cancer: cancer-related conditions can add dramatically to overall costs of care. J Manag Care Med 2002; 6 (1): 12–9
D’Hoore W, Bouckaert A, Tilquin C. Practical considerations on the use of the Charlson comorbidity index with administrative data bases. J Clin Epidemiol 1996; 49: 1429–33
Goetzel RZ, Hawkins K, Ozminkowski RJ, et al. 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
Pauly MV, Nicholson S, Xu J, et al. A general model of the impact of absenteeism on employers and employees. Health Econ 2002; 11: 221–31
Manning WG, Newhouse JP, Duan N, et al. Health insurance and the demand for medical care: evidence from a randomized experiment. Am Econ Rev 1987; 77: 251–77
Duan N, Manning W, Morris C, et al. A comparison of alternative models for the demand for medical care. KIES 1983; 2 (1): 115–26
Duan N. Smearing estimate: a nonparametric retransformation method. J Am Stat Assoc 1983; 78: 605–10
Cameron AC, Trivedi PK. Regression analysis of count data. New York: Cambridge University Press, 1998
Barnett A, Cremieux PY, Fendrick AM, et al. Anemia-related costs for cancer patients. J Manag Care Med 2002; 6 (1): 20–8
Schrag D. The price tag on progress: chemotherapy for colorectal cancer. N Engl J Med 2004; 351: 317–9
Varmus H. Disease-specific estimates of direct and indirect costs of illness and NIH support. Bethesda (MD): US Department of Health and Human Services, National Institutes of Health, 1997 Sep
Acknowledgements
This research was supported by Amgen, Inc. Ernst Berndt, William Crown and Joel Kallich all participated in the design, execution and analysis of the study Ernst Berndt is a consultant to both Amgen and Medstat, William Crown is an employee of Ingenix and Joel Kallich is an employee of Amgen.
Stacey Long and Xue Song were responsible for the statistical analysis and have no individual conflicts of interest. Their employer, Medstat, received funding from Amgen to conduct the study. Gary Lyman participated in the study design, analysis and the review and editing of the final manuscript. He is on the Speaker’s Bureau for Amgen and has previously received grant funding from Amgen.
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Berndt, E., Crown, W., Kallich, J. et al. The impact of anaemia and its treatment on employee disability and medical costs. Pharmacoeconomics 23, 183–192 (2005). https://doi.org/10.2165/00019053-200523020-00009
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DOI: https://doi.org/10.2165/00019053-200523020-00009