Evidence map›Paper›PMID 39932647›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2025

Age, morbidity, and time to death: End-of-life expenditures on health care for the young-old population.

Irene Torrini, Claudio Lucifora, Antonio Giampiero Russo

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2025. 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

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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. Global burden of MASLD-IBD comorbidity from 1990 to 2021 and trend prediction to 2050.International journal of surgery (London, England) · 2026
    Article
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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

3 authors.

Irene TorriniDepartment of Economics, Quantitative Methods and Business Strategies, Università degli Studi di Milano-Bicocca, Milan, Italy. irene.torrini@unibocconi.it.ORCID http://orcid.org/0000-0003-2757-9254
Claudio LuciforaDepartment of Economics and Finance, Università Cattolica del Sacro Cuore, Milan, Italy.ORCID http://orcid.org/0000-0001-6352-1709
Antonio Giampiero RussoEpidemiology Unit - Agenzia Tutela Salute della Citt Metropolitana di Milano, Milan, Italy.ORCID http://orcid.org/0000-0002-5681-5861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we analyze resource allocation and explore the life-cycle evolution of health care expenditures (HCE) by investigating the effect of age, morbidity and time to death (TTD) on HCE for the young-old population. Using a rich 10-year population-level panel, we estimate a fixed-effects model to analyze HCE patterns for different health care services and by primary disease. Our main findings indicate that the effect of age on total HCE is lower when morbidity is controlled for while it increases when we also condition on TTD. This indicates that, compared to those incurred at older ages, earlier deaths are associated with higher HCE. At younger ages, increased expenditures are also observed as the severity of the health condition deteriorates. We also show that expenses for out-of-hospital services mainly drive the evolution of total HCE by age, while inpatient expenses are primarily determined by morbidity and TTD. In the end-of-life period, hospital costs continue to rise, whereas expenses incurred for all other services fall sharply in the year of death. We prove that expenses for long-lasting conditions start to increase long before death, while those for acute conditions grow exponentially only in the last two years of life. Our work contributes to informing cost-containment policies through a better understanding of HCE evolution during the life cycle and in the last years of life.

Indexed as

Health ExpendituresTerminal CareAdolescentAdultAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedMorbidityTime FactorsYoung AdultAgingCost of dyingEoL costsTime to deathYoung-old population

Identifiers

PMID39932647
PMCPMC12310871

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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.