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Published in: The European Journal of Health Economics 3/2020

01-04-2020 | Breast Cancer | Original Paper

Healthcare costs associated with breast cancer in Germany: a claims data analysis

Authors: Kristine Kreis, Marika Plöthner, Torben Schmidt, Richard Seufert, Katharina Schreeb, Veronika Jahndel, Sylke Maas, Alexander Kuhlmann, Jan Zeidler, Anja Schramm

Published in: The European Journal of Health Economics | Issue 3/2020

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Abstract

Purpose

This study estimates the healthcare costs associated with breast cancer (BC) for different treatment phases (initial, intermediate, terminal) in Germany from the payer’s perspective.

Methods

The analysis uses claims data from the AOK Bayern covering 2011–2014 for continuously insured BC patients identified through inpatient and outpatient diagnoses. We calculate the healthcare costs attributable to BC using a control group design comparing the target population to a 1:2 matched control group adjusted for age, gender, and comorbidities. For incident and prevalent BC cases, we calculate age-standardized phase-specific incremental costs stratified by cost domain.

Results

The initial, intermediate, and terminal phases comprise 3841, 28,315, and 1767 BC cases, respectively. BC-related incremental costs follow a u-shaped curve, with costs highest near diagnosis and death, and lower in between. With average costs of €33,237 per incident and €28,211 per prevalent case in the remaining 11 months before death, the highest BC-related incremental healthcare costs can be found in the terminal phase. In the initial phase, there were mean incremental costs of €21,455 the first 11 months after diagnosis. In the intermediate phase, incremental costs totaled €2851 per incident and €2387 per prevalent case per year. Healthcare costs decreased with age in most phases. The cost drivers depend on the treatment phase, with cytostatic drugs and inpatient treatment showing the highest economic impact in most phases.

Conclusion

The study concludes that BC care costs impose a relevant economic burden on statutory health insurance and vary substantially depending on the treatment phase.
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Literature
1.
go back to reference Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D.M., Forman, D., Bray, F.: Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN. Int. J. Cancer 136, E359–E386 (2015)CrossRef Ferlay, J., Soerjomataram, I., Dikshit, R., Eser, S., Mathers, C., Rebelo, M., Parkin, D.M., Forman, D., Bray, F.: Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN. Int. J. Cancer 136, E359–E386 (2015)CrossRef
2.
go back to reference Kaatsch P, Spix C, Katalinic A, Hentschel S, Luttmann S, Stegmaier C, Caspritz S, Christ M, Ernst A, Folkerts J, Hansmann J, Klein S, Kranzhöfer K, Kunz B, Manegold K, Penzkofer A, Treml K, Weg-Remers S, Wittenberg K, Baras N, Barnes B, Bertz J, Buttmann-Schweiger N, Dahm S, Fiebig J, Franke M, Haberland J, Kraywinkel K, Wienecke A, Wolf U (2015) Contributions on federal health monitoring: cancer in Germany 2011/2012 [German]. Berlin: Robert Koch-Institut. [Gesundheitsberichterstattung für Deutschland] Kaatsch P, Spix C, Katalinic A, Hentschel S, Luttmann S, Stegmaier C, Caspritz S, Christ M, Ernst A, Folkerts J, Hansmann J, Klein S, Kranzhöfer K, Kunz B, Manegold K, Penzkofer A, Treml K, Weg-Remers S, Wittenberg K, Baras N, Barnes B, Bertz J, Buttmann-Schweiger N, Dahm S, Fiebig J, Franke M, Haberland J, Kraywinkel K, Wienecke A, Wolf U (2015) Contributions on federal health monitoring: cancer in Germany 2011/2012 [German]. Berlin: Robert Koch-Institut. [Gesundheitsberichterstattung für Deutschland]
3.
go back to reference Robert Koch-Institut (2017) Cancer in Germany 2013/2014 [German]: RKI-Bib1 (Robert Koch-Institut) Robert Koch-Institut (2017) Cancer in Germany 2013/2014 [German]: RKI-Bib1 (Robert Koch-Institut)
4.
go back to reference Bartelink, H., Horiot, J.-C., Poortmans, P.M., Struikmans, H., van den Bogaert, W., Fourquet, A., Jager, J.J., Hoogenraad, W.J., Oei, S.B., Wárlám-Rodenhuis, C.C., Pierart, M., Collette, L.: Impact of a higher radiation dose on local control and survival in breast-conserving therapy of early breast cancer: 10-year results of the randomized boost versus no boost EORTC 22881–10882 trial. J. Clin. Oncol. 25, 3259–3265 (2007)CrossRef Bartelink, H., Horiot, J.-C., Poortmans, P.M., Struikmans, H., van den Bogaert, W., Fourquet, A., Jager, J.J., Hoogenraad, W.J., Oei, S.B., Wárlám-Rodenhuis, C.C., Pierart, M., Collette, L.: Impact of a higher radiation dose on local control and survival in breast-conserving therapy of early breast cancer: 10-year results of the randomized boost versus no boost EORTC 22881–10882 trial. J. Clin. Oncol. 25, 3259–3265 (2007)CrossRef
5.
go back to reference Davis, C., Naci, H., Gurpinar, E., Poplavska, E., Pinto, A., Aggarwal, A.: Availability of evidence of benefits on overall survival and quality of life of cancer drugs approved by European Medicines Agency: retrospective cohort study of drug approvals 2009–13. BMJ 359, j4530 (2017). (Clinical research ed.) CrossRef Davis, C., Naci, H., Gurpinar, E., Poplavska, E., Pinto, A., Aggarwal, A.: Availability of evidence of benefits on overall survival and quality of life of cancer drugs approved by European Medicines Agency: retrospective cohort study of drug approvals 2009–13. BMJ 359, j4530 (2017). (Clinical research ed.) CrossRef
6.
go back to reference Kaplan, H.G., Malmgren, J.A., Atwood, M.K., Calip, G.S.: Effect of treatment and mammography detection on breast cancer survival over time: 1990–2007. Cancer 121, 2553–2561 (2015)CrossRef Kaplan, H.G., Malmgren, J.A., Atwood, M.K., Calip, G.S.: Effect of treatment and mammography detection on breast cancer survival over time: 1990–2007. Cancer 121, 2553–2561 (2015)CrossRef
7.
go back to reference Hamm, C., El-Masri, M., Poliquin, G., Poliquin, V., Mathews, J., Kanjeekal, S., Alam, Y., Kulkarni, S., Elfiki, T.: A single-centre chart review exploring the adjusted association between breast cancer phenotype and prognosis. Curr. Oncol. 18, 191–196 (2011)CrossRef Hamm, C., El-Masri, M., Poliquin, G., Poliquin, V., Mathews, J., Kanjeekal, S., Alam, Y., Kulkarni, S., Elfiki, T.: A single-centre chart review exploring the adjusted association between breast cancer phenotype and prognosis. Curr. Oncol. 18, 191–196 (2011)CrossRef
8.
go back to reference Blumen, H., Fitch, K., Polkus, V.: Comparison of treatment costs for breast cancer, by tumor stage and type of service. Am. Health Drug Benefits 9, 23–32 (2106) Blumen, H., Fitch, K., Polkus, V.: Comparison of treatment costs for breast cancer, by tumor stage and type of service. Am. Health Drug Benefits 9, 23–32 (2106)
9.
go back to reference Luengo-Fernandez, R., Leal, J., Gray, A., Sullivan, R.: Economic burden of cancer across the European Union: a population-based cost analysis. Lancet Oncol. 14, 1165–1174 (2013)CrossRef Luengo-Fernandez, R., Leal, J., Gray, A., Sullivan, R.: Economic burden of cancer across the European Union: a population-based cost analysis. Lancet Oncol. 14, 1165–1174 (2013)CrossRef
11.
go back to reference Stollenwerk, B., Welchowski, T., Vogl, M., Stock, S.: Cost-of-illness studies based on massive data: a prevalence-based, top-down regression approach. Eur. J. Health Econ 17, 235–244 (2106)CrossRef Stollenwerk, B., Welchowski, T., Vogl, M., Stock, S.: Cost-of-illness studies based on massive data: a prevalence-based, top-down regression approach. Eur. J. Health Econ 17, 235–244 (2106)CrossRef
12.
go back to reference Radice, D., Redaelli, A.: Breast cancer management: quality-of-life and cost considerations. PharmacoEconomics 21, 383–396 (2003)CrossRef Radice, D., Redaelli, A.: Breast cancer management: quality-of-life and cost considerations. PharmacoEconomics 21, 383–396 (2003)CrossRef
13.
go back to reference Damm, O., Hodek, J.-M., Greiner, W.: Methodological standards for cost-of-illness studies using breast cancer, prostate cancer and colon cancer as an example [German]. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 103, 305–316 (2009)CrossRef Damm, O., Hodek, J.-M., Greiner, W.: Methodological standards for cost-of-illness studies using breast cancer, prostate cancer and colon cancer as an example [German]. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 103, 305–316 (2009)CrossRef
14.
go back to reference Gruber, E.V., Stock, S., Stollenwerk, B.: Breast cancer attributable costs in Germany: a top-down approach based on sickness funds data. PLoS ONE 7, e51312 (2012)CrossRef Gruber, E.V., Stock, S., Stollenwerk, B.: Breast cancer attributable costs in Germany: a top-down approach based on sickness funds data. PLoS ONE 7, e51312 (2012)CrossRef
15.
go back to reference Damm, O., Leppert, F., Greiner, W.: PCN47 Cost-of-Illness of common cancer types - results of a health insurance claims data analysis. Value Health 15, A417 (2012)CrossRef Damm, O., Leppert, F., Greiner, W.: PCN47 Cost-of-Illness of common cancer types - results of a health insurance claims data analysis. Value Health 15, A417 (2012)CrossRef
16.
go back to reference Yabroff, K.R., Lund, J., Kepka, D., Mariotto, A.: Economic burden of cancer in the United States: estimates, projections, and future research. Cancer Epidem Biomark. Prev. 20, 2006–2014 (2011)CrossRef Yabroff, K.R., Lund, J., Kepka, D., Mariotto, A.: Economic burden of cancer in the United States: estimates, projections, and future research. Cancer Epidem Biomark. Prev. 20, 2006–2014 (2011)CrossRef
18.
go back to reference Van Walraven, C., Austin, P.C., Jennings, A., Quan, H., Forster, A.J.: A modification of the elixhauser comorbidity measures into a point system for hospital death using administrative data. Med. Care 47, 626–633 (2009)CrossRef Van Walraven, C., Austin, P.C., Jennings, A., Quan, H., Forster, A.J.: A modification of the elixhauser comorbidity measures into a point system for hospital death using administrative data. Med. Care 47, 626–633 (2009)CrossRef
19.
go back to reference Riley, G.F., Potosky, A.L., Lubitz, J.D., Kessler, L.G.: Medicare payments from diagnosis to death for elderly cancer patients by stage at diagnosis. Med. Care 33, 828–841 (1995)CrossRef Riley, G.F., Potosky, A.L., Lubitz, J.D., Kessler, L.G.: Medicare payments from diagnosis to death for elderly cancer patients by stage at diagnosis. Med. Care 33, 828–841 (1995)CrossRef
20.
go back to reference Taplin, S.H., Barlow, W., Urban, N., Mandelson, M.T., Timlin, D.J., Ichikawa, L., Nefcy, P.: Stage, age, comorbidity, and direct costs of colon, prostate, and breast cancer care. J. Natl. Cancer Inst. 87, 417–426 (1995)CrossRef Taplin, S.H., Barlow, W., Urban, N., Mandelson, M.T., Timlin, D.J., Ichikawa, L., Nefcy, P.: Stage, age, comorbidity, and direct costs of colon, prostate, and breast cancer care. J. Natl. Cancer Inst. 87, 417–426 (1995)CrossRef
21.
go back to reference Fireman, B.H., Quesenberry, C.P., Somkin, C.P., Jacobson, A.S., Baer, D., West, D., Potosky, A.L., Brown, M.L.: Cost of care for cancer in a health maintenance organization. Health Care Financ. R 18, 51–76 (1997) Fireman, B.H., Quesenberry, C.P., Somkin, C.P., Jacobson, A.S., Baer, D., West, D., Potosky, A.L., Brown, M.L.: Cost of care for cancer in a health maintenance organization. Health Care Financ. R 18, 51–76 (1997)
22.
go back to reference Brown, M.L., Riley, G.F., Schussler, N., Etzioni, R.: Estimating health care costs related to cancer treatment from SEER-Medicare data. Med. Care 40(IV), 104–117 (2002) Brown, M.L., Riley, G.F., Schussler, N., Etzioni, R.: Estimating health care costs related to cancer treatment from SEER-Medicare data. Med. Care 40(IV), 104–117 (2002)
23.
go back to reference Warren, J.L., Brown, M.L., Fay, M.P., Schussler, N., Potosky, A.L., Riley, G.F.: Costs of treatment for elderly women with early-stage breast cancer in fee-for-service settings. J. Clin. Oncol. 20, 307–316 (2002)CrossRef Warren, J.L., Brown, M.L., Fay, M.P., Schussler, N., Potosky, A.L., Riley, G.F.: Costs of treatment for elderly women with early-stage breast cancer in fee-for-service settings. J. Clin. Oncol. 20, 307–316 (2002)CrossRef
24.
go back to reference Yabroff, K.R., Lamont, E.B., Mariotto, A., Warren, J.L., Topor, M., Meekins, A., Brown, M.L.: Cost of care for elderly cancer patients in the United States. J. Natl. Cancer I 100, 630–641 (2008)CrossRef Yabroff, K.R., Lamont, E.B., Mariotto, A., Warren, J.L., Topor, M., Meekins, A., Brown, M.L.: Cost of care for elderly cancer patients in the United States. J. Natl. Cancer I 100, 630–641 (2008)CrossRef
25.
go back to reference Barlow, W.E.: Overview of methods to estimate the medical costs of cancer. Med. Care 47, S33–S36 (2009)CrossRef Barlow, W.E.: Overview of methods to estimate the medical costs of cancer. Med. Care 47, S33–S36 (2009)CrossRef
27.
go back to reference Kim, H.J., Fay, M.P., Feuer, E.J., Midthune, D.N.: Permutation tests for joinpoint regression with applications to cancer rates. Stat. Med. 19, 335–351 (2000)CrossRef Kim, H.J., Fay, M.P., Feuer, E.J., Midthune, D.N.: Permutation tests for joinpoint regression with applications to cancer rates. Stat. Med. 19, 335–351 (2000)CrossRef
28.
go back to reference Lidgren, M., Wilking, N., Jönsson, B., Rehnberg, C.: Resource use and costs associated with different states of breast cancer. Int. J. Technol. Assess. Health Care 23, 223–231 (2007)CrossRef Lidgren, M., Wilking, N., Jönsson, B., Rehnberg, C.: Resource use and costs associated with different states of breast cancer. Int. J. Technol. Assess. Health Care 23, 223–231 (2007)CrossRef
29.
go back to reference Broekx, S., Den Hond, E., Torfs, R., Remacle, A., Mertens, R., D'Hooghe, T., Neven, P., Christiaens, M.-R., Simoens, S.: The costs of breast cancer prior to and following diagnosis. Eur. J. Health Econ. 12, 311–317 (2011)CrossRef Broekx, S., Den Hond, E., Torfs, R., Remacle, A., Mertens, R., D'Hooghe, T., Neven, P., Christiaens, M.-R., Simoens, S.: The costs of breast cancer prior to and following diagnosis. Eur. J. Health Econ. 12, 311–317 (2011)CrossRef
31.
go back to reference Chen, A.B., Li, L., Cronin, A.M., Brooks, G.A., Kavanagh, B.D., Schrag, D.: Estimating costs of care attributable to cancer: does the choice of comparison group matter? Health Serv. Res. 53, 3227–3244 (2017)CrossRef Chen, A.B., Li, L., Cronin, A.M., Brooks, G.A., Kavanagh, B.D., Schrag, D.: Estimating costs of care attributable to cancer: does the choice of comparison group matter? Health Serv. Res. 53, 3227–3244 (2017)CrossRef
32.
go back to reference Wai, E.S., Trevisan, C.H., Taylor, S.C.M., Mates, D., Jackson, J.S., Olivotto, I.A.: Health system costs of metastatic breast cancer. Breast Cancer Res. Tr 65, 233–240 (2001)CrossRef Wai, E.S., Trevisan, C.H., Taylor, S.C.M., Mates, D., Jackson, J.S., Olivotto, I.A.: Health system costs of metastatic breast cancer. Breast Cancer Res. Tr 65, 233–240 (2001)CrossRef
33.
go back to reference Hoffmann, F., Icks, A.: Structural differences between health insurance funds and their impact on health services research: results from the Bertelsmann Health-Care Monitor [German]. Gesundheitswesen [Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)] 74, 291–297 (2012)CrossRef Hoffmann, F., Icks, A.: Structural differences between health insurance funds and their impact on health services research: results from the Bertelsmann Health-Care Monitor [German]. Gesundheitswesen [Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)] 74, 291–297 (2012)CrossRef
34.
go back to reference Jaunzeme, J., Eberhard, S., Geyer, S.: How “representative” are SHI (statutory health insurance) data? Demographic and social differences and similarities between an SHI-insured population, the population of Lower Saxony, and that of the Federal Republic of Germany using the example of the AOK in Lower Saxony [German]. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 56, 454–474 (2013)CrossRef Jaunzeme, J., Eberhard, S., Geyer, S.: How “representative” are SHI (statutory health insurance) data? Demographic and social differences and similarities between an SHI-insured population, the population of Lower Saxony, and that of the Federal Republic of Germany using the example of the AOK in Lower Saxony [German]. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 56, 454–474 (2013)CrossRef
Metadata
Title
Healthcare costs associated with breast cancer in Germany: a claims data analysis
Authors
Kristine Kreis
Marika Plöthner
Torben Schmidt
Richard Seufert
Katharina Schreeb
Veronika Jahndel
Sylke Maas
Alexander Kuhlmann
Jan Zeidler
Anja Schramm
Publication date
01-04-2020
Publisher
Springer Berlin Heidelberg
Published in
The European Journal of Health Economics / Issue 3/2020
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-019-01148-w

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