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

Zur Kurzanzeige

dc.identifier.uri http://dx.doi.org/10.15488/1014
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1038
dc.contributor.author Treskova, Marina
dc.contributor.author Kuhlmann, Alexander
dc.contributor.author Bogner, Johannes
dc.contributor.author Hower, Martin
dc.contributor.author Heiken, Hans
dc.contributor.author Stellbrink, Hans-Jurgen
dc.contributor.author Mahlich, Jörg
dc.contributor.author Schulenburg, Johann-Matthias Graf von der
dc.contributor.author Stoll, Matthias
dc.date.accessioned 2017-01-04T12:59:43Z
dc.date.available 2017-01-04T12:59:43Z
dc.date.issued 2016
dc.identifier.citation 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
dc.description.abstract 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. eng
dc.description.sponsorship Janssen-Cilag Foundation
dc.language.iso eng
dc.publisher Philadelphia, PA : Wolters Kluwer Health
dc.relation.ispartofseries Medicine 95 (2016), Nr. 26
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject combination antiretroviral therapy eng
dc.subject cost determinants eng
dc.subject cost ratios eng
dc.subject HIV eng
dc.subject prospective cohort survey eng
dc.subject utilization eng
dc.subject.ddc 610 | Medizin, Gesundheit ger
dc.title Analysis of contemporary HIV/AIDS health care costs in Germany: Driving factors and distribution across antiretroviral therapy lines eng
dc.type Article
dc.type Text
dc.relation.essn 1536-5964
dc.relation.issn 0025-7974
dc.relation.doi https://doi.org/10.1097/MD.0000000000003961
dc.bibliographicCitation.issue 26
dc.bibliographicCitation.volume 95
dc.bibliographicCitation.firstPage e3961
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


Die Publikation erscheint in Sammlung(en):

Zur Kurzanzeige

 

Suche im Repositorium


Durchblättern

Mein Nutzer/innenkonto

Nutzungsstatistiken