Evidence map›Paper›PMID 27367993›Full record

Observational studyMedicine2016

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

Marina Treskova, Alexander Kuhlmann, Johannes Bogner, Martin Hower, Hans Heiken, Hans-Jürgen Stellbrink, Jörg Mahlich, Johann-Matthias Graf von der Schulenburg, Matthias Stoll

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Marina TreskovaaCenter for Health Economics Research Hannover, Hannover bSektion Klinische Infektiologie, Med IV, Klinikum der Universität München, Munich cID-Ambulanz der Medizinischen Klinik Nord, Klinikum Dortmund, Dortmund dInnere Medizin, Praxis Georgstraße, Hannover eICH Grindel, Infektionsmedizinisches Centrum Hamburg, Hamburg fHealth Economics & Pricing, Janssen-Cilag GmbH, Neuss gKlinik für Immunologie und Rheumatologie, Medizinische Hochschule Hannover, Hannover, Germany.
Alexander Kuhlmann
Johannes Bogner
Martin Hower
Hans Heiken
Hans-Jürgen Stellbrink
Jörg Mahlich
Johann-Matthias Graf von der Schulenburg
Matthias Stoll
Infektionsmedizinisches Centrum Hamburg · DEJanssen (Germany) · DEKlinikum Dortmund · DELMU Klinikum · DEMedizinische Hochschule Hannover · DEPraxis · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health Care CostsAcquired Immunodeficiency SyndromeAdultAnti-Retroviral AgentsFemaleGermanyHIV InfectionsHumansMaleMiddle AgedProspective StudiesYoung AdultAnti-Retroviral Agents

Identifiers

PMID27367993
PMCPMC4937907
OpenAlexW2469449714

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.