Evidence map›Paper›PMID 22990377›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2013

Cost of HIV and determinants of health care costs in HIV-positive patients in Germany: results of the DAGNÄ K3A Study.

Sarah Mostardt, Nikola Hanhoff, Jürgen Wasem, Armin Goetzenich, Knud Schewe, Eva Wolf, Christoph Mayr, Hans Jaeger, Holger Pfaff, Stephan Dupke and 1 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. Cost-effectiveness and budget effect of pre-exposure prophylaxis for HIV-1 prevention in Germany from 2018 to 2058.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
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  7. Observational
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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

11 authors.

Sarah MostardtInstitute for Health Care Management and Research, University of Duisburg-Essen, Schützenbahn 70, 45127, Essen, Germany. sarah.mostardt@medman.uni-due.de
Nikola Hanhoff
Jürgen Wasem
Armin Goetzenich
Knud Schewe
Eva Wolf
Christoph Mayr
Hans Jaeger
Holger Pfaff
Stephan Dupke
Anja Neumann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aims of this study were to estimate the expenditure for HIV-care in Germany and to identify variables associated with resource use. DESIGN/

settingWe performed an 18-month prospective multi-center study in an HIV specialized ambulatory care setting from 2006 to 2009. SUBJECTS,

participantsPatients were eligible for study participation if they (1) were HIV-positive, (2) were ≥ 18 years of age, (3) provided written consent and (4) were not enrolled in another clinical study; 518 patients from 17 centers were included.

main outcome measuresHealth care costs were estimated following a micro-costing approach from two perspectives: (1) costs incurred to society in general, and (2) costs incurred to statutory health insurance. Data were obtained using questionnaires. Several empirical models for identifying the relationship between health care costs and independent variables, including age, gender, route of transmission and CD4 cell count at baseline, were developed.

resultsAverage annual health care costs were <euro>23,298 per patient from the societal perspective and <euro>19,103 from the statutory health insurance perspective. Most expenses are caused by antiretroviral medication (80 % of the total and 89 % of direct costs), while hospital costs represented 7 % of total expenditure. A statistically significant association was found between health care costs and clinical variables, with higher CD4 count and female gender generating lower costs, while increased antiretroviral experience and injection drug use led to higher expenditures (P < 0.05).

conclusionsExpenditures for HIV-infection are driven mainly by drug costs. We identified several clinical variables influencing the costs of HIV-treatment. This information could assist policymakers when allocating limited health care resources to HIV care.

Indexed as

Health ExpendituresAdultAmbulatory Care FacilitiesAntiretroviral Therapy, Highly ActiveCost of IllnessFemaleGermanyHIV SeropositivityHumansMaleMiddle AgedPilot ProjectsProspective StudiesSurveys and Questionnaires

Identifiers

What OpenQuestion holds

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Registered trials

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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.