Evidence map›Paper›PMID 38468304›Full record

ArticleBMC health services research2024

COVID-19-associated costs and mortality in Germany: an incidence-based analysis from a payer's perspective.

Florian Brandt, Giancarlo Simone, Jörg Loth, Daniel Schilling

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Florian BrandtIKK Südwest, Europaallee 3-4, Saarbrücken, 66113, Germany. florian.brandt@ikk-sw.de.ORCID http://orcid.org/0000-0003-4947-1770
Giancarlo SimoneIKK Südwest, Europaallee 3-4, Saarbrücken, 66113, Germany.
Jörg LothIKK Südwest, Europaallee 3-4, Saarbrücken, 66113, Germany.
Daniel SchillingIKK Südwest, Europaallee 3-4, Saarbrücken, 66113, Germany.
Hochschule der Bildenden Künste Saar · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to estimate average COVID-19-associated healthcare costs per capita in Germany from a payer perspective. In addition, insights into COVID-19-associated mortality should be gained.

methodsFor this purpose, a retrospective longitudinal analysis using health insurance claims data was performed. Patients affected by COVID-19 in Q1/2021 (investigation group (IG)) were compared to a matched non-COVID-19 control group (CG) (1:1 propensity score matching (PSM)). Mean values of healthcare costs in 2020 and 2021 were computed for both groups and then separated by age and by development of Post-COVID-19 Syndrome (PCS). Group differences were examined using Mann-Whitney U test (α = 0.05). Difference-in-Differences approach (DiD) was used to estimate average cost effects of COVID-19 in 2021. Concerning mortality, the number of deaths in 2021 was compared between IG and CG using χ

resultsA total of 8,014 insurants were included (n = 4,007 per group; n = 536 per group examining PCS patients only). Total healthcare costs varied a lot in the sample, were comparable between IG and CG in 2020, but were significantly higher in the IG in 2021 (DiD estimate = € 1,063 (in total); € 3,242 (PCS group)). This was more pronounced in the older age groups. High hospital costs of a minority of patients were the most influential driver of COVID-19-associated healthcare costs. Mortality was more than doubled in the IG (tripled in patients aged ≥ 60).

conclusionsCOVID-19 is associated with significantly increased healthcare costs and mortality, especially in older age groups. The additional development of PCS further increases the costs of COVID-19.

Indexed as

COVID-19Post-Acute COVID-19 SyndromeAgedGermanyHealth Care CostsHumansIncidenceRetrospective StudiesCost of illnessLong COVIDMatched-pairPopulation-basedPost-COVID-19 syndromeSecondary data analysis

Identifiers

PMID38468304
PMCPMC10926608
OpenAlexW4392658640

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.