Evidence map›Paper›PMID 41120795›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025

Cancer care at the end of life: system-wide expenditure in a national health service.

Henriette Tind Hasse, Trine Kjær, Thea Otto Mattsson, Katrine Rahbek Schønnemann, Søren Rud Kristensen

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Henriette Tind HasseDanish Centre for Health Economics, Department of Public Health, University of Southern Denmark, Campusvej 55, Odense, 5230, Denmark. hthasse@health.sdu.dk.ORCID http://orcid.org/0000-0003-0333-3575
Trine KjærDanish Centre for Health Economics, Department of Public Health, University of Southern Denmark, Campusvej 55, Odense, 5230, Denmark.
Thea Otto MattssonDept. of Oncology, Odense University Hospital, Odense, Denmark.
Katrine Rahbek SchønnemannDept. of Oncology, Odense University Hospital, Odense, Denmark.
Søren Rud KristensenDanish Centre for Health Economics, Department of Public Health, University of Southern Denmark, Campusvej 55, Odense, 5230, Denmark.

Funding

Helsefonden 21-B-05157
6 · The paper itself

Abstract

purposeThe provision of specialized palliative care (SPC) and the timely discontinuation of cancer-targeted treatments (CTT) are increasingly considered important in cancer care at the end of life (EoL). EoL cancer care decisions are often initiated in the hospital, and little is known about associated expenditure in other parts of the health system. Our primary objective was to examine the total healthcare and care setting-specific expenditure associated with either exposure to SPC or timely discontinuation of CTT for patients with cancer in the last 4 weeks of life. Our secondary objectives were to (1) examine how these expenditures evolved in the last 4 weeks of life and across care settings and (2) explore the relation between the associated expenditures of SPC and timely discontinuation of CTT. Exposure to SPC was defined by the first successful referral to SPC within the 6- to 1-month period (i.e., last 4 weeks) before death. Timely discontinuation of CTT was defined as receiving no CTT within the last 4 weeks of life.

methodsUsing comprehensive linked Danish registry data, we conducted a nationwide matched cohort study (2011-2018), which analyzed care expenditure in various settings during the last 4 weeks of life for cancer patients, estimating costs with generalized linear model (GLM) and generalized estimating equation (GEE) models, and using logistic regression to assess SPC and timely discontinuation of CTT.

resultsThe total EoL care expenditure in the last 4 weeks of life was €3140 (96% CI €-3433 to €-2848) lower for patients exposed to SPC compared with non-exposed, mainly due to reduced hospital expenditure. Individuals exposed to timely discontinuation of CTT had €3430 (95% CI €-3649 to €-3211) lower expenditure per patient despite higher community, home-based, hospice, and primary care expenditure.

conclusionOur findings show the development of EoL care expenditure during cancer patients' final 4 weeks of life and can inform policymakers about the potential implications across the health system of changes in EoL care patterns.

Indexed as

Health ExpendituresNeoplasmsPalliative CareTerminal CareAdultAgedAged, 80 and overCohort StudiesDenmarkFemaleHumansMaleMiddle AgedNational Health ProgramsRegistriesCancerCancer careEnd-of-lifeExpenditureHealthcareNational health service

Identifiers

PMID41120795
PMCPMC12540515

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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.