Estimation of input costs for a Markov model in a German health economic evaluation of newer antidepressants

Seidl, Astrid; Danner, Marion; Wagner, Christoph J.; Sandmann, Frank G.; Sroczynski, Gaby; Stürzlinger, Heidi; Zsifkovits, Johannes; Schwalm, Anja; Lhachimi, Stefan K.; Siebert, Uwe; Gerber-Grote, Andreas

doi:10.21256/zhaw-3625

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3625

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Estimation of input costs for a Markov model in a German health economic evaluation of newer antidepressants
Authors:	Seidl, Astrid Danner, Marion Wagner, Christoph J. Sandmann, Frank G. Sroczynski, Gaby Stürzlinger, Heidi Zsifkovits, Johannes Schwalm, Anja Lhachimi, Stefan K. Siebert, Uwe Gerber-Grote, Andreas
DOI:	10.21256/zhaw-3625 10.1177/2381468317751923
Published in:	MDM Policy & Practice
Volume(Issue):	3
Issue:	1
Issue Date:	2018
Publisher / Ed. Institution:	Sage
ISSN:	2381-4683
Language:	English
Subject (DDC):	338: Production
Abstract:	Background: Estimating input costs for Markov models in health economic evaluations requires health state-specific costing. This is a challenge in mental illnesses such as depression, as interventions are not clearly related to health states. We present a hybrid approach to health state-specific cost estimation for a German health economic evaluation of antidepressants. Methods: Costs were determined from the perspective of the community of persons insured by statutory health insurance (“SHI insuree perspective”) and included costs for outpatient care, inpatient care, drugs, and psychotherapy. In an additional step, costs for rehabilitation and productivity losses were calculated from the societal perspective. We collected resource use data in a stepwise hierarchical approach using SHI claims data, where available, followed by data from clinical guidelines and expert surveys. Bottom-up and top-down costing approaches were combined. Results: Depending on the drug strategy and health state, the average input costs varied per patient per 8-week Markov cycle. The highest costs occurred for agomelatine in the health state first-line treatment (FT) (“FT relapse”) with €506 from the SHI insuree perspective and €724 from the societal perspective. From both perspectives, the lowest costs (excluding placebo) were €55 for selective serotonin reuptake inhibitors in the health state “FT remission.” Conclusion: To estimate costs in health economic evaluations of treatments for depression, it can be necessary to link different data sources and costing approaches systematically to meet the requirements of the decision-analytic model. As this can increase complexity, the corresponding calculations should be presented transparently. The approach presented could provide useful input for future models.
URI:	https://digitalcollection.zhaw.ch/handle/11475/5732
Fulltext version:	Published version
License (according to publishing contract):	CC BY-NC 4.0: Attribution - Non commercial 4.0 International
Departement:	School of Health Sciences
Appears in collections:	Publikationen Gesundheit

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Seidl, A., Danner, M., Wagner, C. J., Sandmann, F. G., Sroczynski, G., Stürzlinger, H., Zsifkovits, J., Schwalm, A., Lhachimi, S. K., Siebert, U., & Gerber-Grote, A. (2018). Estimation of input costs for a Markov model in a German health economic evaluation of newer antidepressants. MDM Policy & Practice, 3(1). https://doi.org/10.21256/zhaw-3625

Seidl, A. et al. (2018) ‘Estimation of input costs for a Markov model in a German health economic evaluation of newer antidepressants’, MDM Policy & Practice, 3(1). Available at: https://doi.org/10.21256/zhaw-3625.

A. Seidl et al., “Estimation of input costs for a Markov model in a German health economic evaluation of newer antidepressants,” MDM Policy & Practice, vol. 3, no. 1, 2018, doi: 10.21256/zhaw-3625.

SEIDL, Astrid, Marion DANNER, Christoph J. WAGNER, Frank G. SANDMANN, Gaby SROCZYNSKI, Heidi STÜRZLINGER, Johannes ZSIFKOVITS, Anja SCHWALM, Stefan K. LHACHIMI, Uwe SIEBERT und Andreas GERBER-GROTE, 2018. Estimation of input costs for a Markov model in a German health economic evaluation of newer antidepressants. MDM Policy & Practice. 2018. Bd. 3, Nr. 1. DOI 10.21256/zhaw-3625

Seidl, Astrid, Marion Danner, Christoph J. Wagner, Frank G. Sandmann, Gaby Sroczynski, Heidi Stürzlinger, Johannes Zsifkovits, et al. 2018. “Estimation of Input Costs for a Markov Model in a German Health Economic Evaluation of Newer Antidepressants.” MDM Policy & Practice 3 (1). https://doi.org/10.21256/zhaw-3625.

Seidl, Astrid, et al. “Estimation of Input Costs for a Markov Model in a German Health Economic Evaluation of Newer Antidepressants.” MDM Policy & Practice, vol. 3, no. 1, 2018, https://doi.org/10.21256/zhaw-3625.