Analysis of contemporary HIV/AIDS health care costs in Germany: Driving factors and distribution across antiretroviral therapy lines

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Treskova, Marina; Kuhlmann, Alexander; Bogner, Johannes; Hower, Martin; Heiken, Hans et al.: Analysis of contemporary HIV/AIDS health care costs in Germany: Driving factors and distribution across antiretroviral therapy lines. In: Medicine 95 (2016), Nr. 26, e3961. DOI: https://doi.org/10.1097/MD.0000000000003961

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Zum Zitieren der Version im Repositorium verwenden Sie bitte diesen DOI: https://doi.org/10.15488/1014

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To analyze contemporary costs of HIV health care and the cost distribution across lines of combination antiretroviral therapy (cART). To identify variations in expenditures with patient characteristics and to identify main cost determinants. To compute cost ratios between patients with varying characteristics.Empirical data on costs are collected in Germany within a 2-year prospective observational noninterventional multicenter study. The database contains information for 1154 HIV-infected patients from 8 medical centers.Means and standard deviations of the total costs are estimated for each cost fraction and across cART lines and regimens. The costs are regressed against various patient characteristics using a generalized linear model. Relative costs are calculated using the resultant coefficients.The average annual total costs (SD) per patient are &OV0556;22,231.03 (8786.13) with a maximum of &OV0556;83,970. cART medication is the major cost fraction (83.8%) with a mean of &OV0556;18,688.62 (5289.48). The major cost-driving factors are cART regimen, CD4-T cell count, cART drug resistance, and concomitant diseases. Viral load, pathology tests, and demographics have no significant impact. Standard non-nucleoside reverse transcriptase inhibitor-based regimens induce 28% lower total costs compared with standard PI/r regimens. Resistance to 3 or more antiretroviral classes induces a significant increase in costs.HIV treatment in Germany continues to be expensive. Majority of costs are attributable to cART. Main cost determinants are CD4-T cells count, comorbidity, genotypic antiviral resistance, and therapy regimen. Combinations of characteristics associated with higher expenditures enhance the increasing effect on the costs and induce high cost cases.
Lizenzbestimmungen: CC BY-NC-ND 4.0 Unported
Publikationstyp: Article
Publikationsstatus: publishedVersion
Erstveröffentlichung: 2016
Die Publikation erscheint in Sammlung(en):Wirtschaftswissenschaftliche Fakultät

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1 image of flag of Germany Germany 177 69,41%
2 image of flag of United States United States 32 12,55%
3 image of flag of No geo information available No geo information available 4 1,57%
4 image of flag of France France 4 1,57%
5 image of flag of China China 4 1,57%
6 image of flag of Russian Federation Russian Federation 3 1,18%
7 image of flag of Portugal Portugal 3 1,18%
8 image of flag of United Kingdom United Kingdom 3 1,18%
9 image of flag of India India 2 0,78%
10 image of flag of Czech Republic Czech Republic 2 0,78%
    andere 21 8,24%

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