Evidence map›Paper›PMID 41793724›Full record

ArticleHealth economics2026

Competing Demographic Drivers of Hospital Expenditures: Coexistence of the Red Herring and the Steepening Effects.

Malene Kallestrup-Lamb, Alexander O K Marin, Jes Søgaard

Abstract read
In one paragraph

Article in Health economics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Malene Kallestrup-LambAarhus University and PeRCent, Aarhus, Denmark.ORCID 0000-0002-4412-3219
Alexander O K MarinUniversity of Southern Denmark, CPop, Odense, Denmark.ORCID 0000-0001-6378-9502
Jes SøgaardUniversity of Southern Denmark, CPop, Odense, Denmark.

Funding

Rockwool Fonden
6 · The paper itself

Abstract

The fiscal sustainability of healthcare systems is increasingly strained by aging populations with two competing hypotheses dominating the literature. The Red Herring Hypothesis suggests that healthcare expenditures are driven more by proximity to death than by chronological age, while the Steepening Hypothesis examines whether expenditures increase faster for older individuals over time. Nevertheless, these two frameworks have traditionally been studied independently rather than in conjunction. This paper offers a unified econometric model, allowing for a rigorous assessment of their concurrent validity and interaction. Using comprehensive register-based monthly somatic hospital expenditure data for the entire Danish population from 2002 to 2017, we provide robust evidence that both Red Herring and Steepening effects operate simultaneously. Although Red Herring effects modestly mitigate the expenditure burden of an increasingly older population, they are substantially outweighed by pronounced Steepening effects, which account for nearly 60% of hospital expenditure growth during the observation period. Through a novel decomposition method, we identify a previously unrecognized interaction between these phenomena, a Red Herring Steepening effect, which accelerates expenditure growth in the final years of life for older individuals. Our findings suggest that healthcare systems face considerably greater fiscal challenges from population aging than previously recognized under the Red Herring Hypothesis alone.

Indexed as

DemographyHealth ExpendituresAgedAged, 80 and overAge FactorsAgingDenmarkFemaleHumansMaleMiddle AgedModels, Econometricexpenditure decompositionhospital expenditurespopulation agingRed HerringSteepening

Identifiers

PMID41793724
PMCPMC13126104

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.