Evidence map›Paper›PMID 31897812›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2020

Healthcare costs associated with breast cancer in Germany: a claims data analysis.

Kristine Kreis, Marika Plöthner, Torben Schmidt, Richard Seufert, Katharina Schreeb, Veronika Jahndel, Sylke Maas, Alexander Kuhlmann, Jan Zeidler, Anja Schramm

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Budget Impact of the Oncotype DX Breast Recurrence ScoreBreast care (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
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

10 authors.

Kristine KreisCenter for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany. kjk@cherh.de.ORCID http://orcid.org/0000-0002-3914-0575
Marika PlöthnerCenter for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany.
Torben SchmidtCenter for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany.
Richard SeufertAOK Bayern, Die Gesundheitskasse, DLZ Versorgungsmanagement, Bruderwöhrdstr. 9, 93055, Regensburg, Germany.
Katharina SchreebBioNTech AG, An der Goldgrube 12, 55131, Mainz, Germany.
Veronika JahndelBioNTech AG, An der Goldgrube 12, 55131, Mainz, Germany.
Sylke MaasBioNTech AG, An der Goldgrube 12, 55131, Mainz, Germany.
Alexander KuhlmannCenter for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany.
Jan ZeidlerCenter for Health Economics Research Hannover (CHERH), Gottfried Wilhelm Leibniz Universität Hannover, Otto-Brenner-Straße 7, 30159, Hannover, Germany.
Anja SchrammAOK Bayern, Die Gesundheitskasse, DLZ Versorgungsmanagement, Bruderwöhrdstr. 9, 93055, Regensburg, Germany.

Funding

Bundesministerium für Bildung und Forschung 13GW0078B
6 · The paper itself

Abstract

purposeThis study estimates the healthcare costs associated with breast cancer (BC) for different treatment phases (initial, intermediate, terminal) in Germany from the payer's perspective.

methodsThe analysis uses claims data from the AOK Bayern covering 2011-2014 for continuously insured BC patients identified through inpatient and outpatient diagnoses. We calculate the healthcare costs attributable to BC using a control group design comparing the target population to a 1:2 matched control group adjusted for age, gender, and comorbidities. For incident and prevalent BC cases, we calculate age-standardized phase-specific incremental costs stratified by cost domain.

resultsThe initial, intermediate, and terminal phases comprise 3841, 28,315, and 1767 BC cases, respectively. BC-related incremental costs follow a u-shaped curve, with costs highest near diagnosis and death, and lower in between. With average costs of €33,237 per incident and €28,211 per prevalent case in the remaining 11 months before death, the highest BC-related incremental healthcare costs can be found in the terminal phase. In the initial phase, there were mean incremental costs of €21,455 the first 11 months after diagnosis. In the intermediate phase, incremental costs totaled €2851 per incident and €2387 per prevalent case per year. Healthcare costs decreased with age in most phases. The cost drivers depend on the treatment phase, with cytostatic drugs and inpatient treatment showing the highest economic impact in most phases.

conclusionThe study concludes that BC care costs impose a relevant economic burden on statutory health insurance and vary substantially depending on the treatment phase.

Indexed as

Cost of IllnessAdultAgedAged, 80 and overBreast NeoplasmsFemaleGermanyHealth Care CostsHumansInsurance Claim ReviewMiddle AgedBreast cancerClaims dataDisease costGermanyJoinpoint

Identifiers

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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.