Evidence map›Paper›PMID 41091696›Full record

ArticleAge and ageing2025

'I am old, and I will rather abandon life with my eyes open': a qualitative study of Norwegians aged 80 and older explaining their intensive care unit admission preferences.

Gabriele Leonie Schwarz, Britt Ågot Sjøbø, Elisabeth Skaar, Ingrid Miljeteig, Karen E A Burns, Reidar Kvåle, Hans Flaatten, Margrethe Schaufel

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Article in Age and ageing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers 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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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Gabriele Leonie SchwarzDepartment of Surgical Services, Haukeland University Hospital, Bergen, Norway.ORCID 0009-0003-4044-0561
Britt Ågot SjøbøDepartment of Surgical Services, Haukeland University Hospital, Bergen, Norway.
Elisabeth SkaarDepartment of Heart Disease, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0002-7911-884X
Ingrid MiljeteigBergen Centre of Ethics and Priority Setting, University of Bergen, Bergen, Norway.
Karen E A BurnsInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.
Reidar KvåleDepartment of Surgical Services, Haukeland University Hospital, Bergen, Norway.
Hans FlaattenDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Margrethe SchaufelDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe treatment preferences of patients aged 80 and older in the event of acute critical illness vary widely and are difficult to predict. To provide the appropriate level of care, it is necessary to better understand their personal treatment goals.

objectiveTo gain insight into the underlying reasoning for intensive care unit (ICU) admission preferences in hypothetical events of acute critical illness stated by Norwegian survey respondents aged 80 and over.

methodsA purposive sample of 202 Norwegian outpatients ≥80 years old who were considered potential ICU candidates provided 297 free-text comments to elaborate on their ICU admission choices in hypothetical scenarios of acute critical illness. Data were collected from November 2021 to March 2023 and analysed by Systematic Text Condensation, a method for thematic cross-case analysis. A theoretical framework for autonomy and trust in modern bioethics was utilized to focus the analysis. MAIN

findingsAll four main findings comprised descriptions of how the respondents sought to exercise autonomy. They explained their ICU admission preferences by (i) desiring to control the uncontrollable, (ii) prioritizing outcomes of importance to them, (iii) placing trust and (iv) accepting a larger context. We identified patterns ranging from the individual autonomy of varying degrees of action to the principled autonomy of obligation. Several justifications were relevant to different treatment choices.

conclusionDespite variable expressions through different justifications, our findings highlight the need for a greater understanding of older patients' requirements for autonomy and a strong patient-centred focus in ICU admission decision-making.

Indexed as

Critical IllnessIntensive Care UnitsPatient AdmissionPatient PreferenceAged, 80 and overAge FactorsFemaleHumansMaleNorwayPersonal AutonomyQualitative ResearchTrust80 and overagedcritical careolder peoplepatient preferencepersonal autonomyqualitative research

Identifiers

PMID41091696
PMCPMC12526999

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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.