Evidence map›Paper›PMID 39652434›Full record

ArticleCritical care explorations2024

ICU Admission Preferences in the Hypothetical Event of Acute Critical Illness: A Survey of Very Old Norwegians and Their Next-of-Kins.

Gabriele Leonie Schwarz, Elisabeth Skaar, Ingrid Miljeteig, Karl Ove Hufthammer, Karen E A Burns, Reidar Kvåle, Hans Flaatten, Margrethe A Schaufel

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Article in Critical care explorations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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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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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
Elisabeth SkaarDepartment of Heart Disease, Haukeland University Hospital, Bergen, Norway.
Ingrid MiljeteigBergen Centre for Ethics and Priority Setting, University of Bergen, Bergen, Norway.
Karl Ove HufthammerCentre for Clinical Research, Haukeland University Hospital, Bergen, Norway.
Karen E A BurnsDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Reidar KvåleDepartment of Surgical Services, Haukeland University Hospital, Bergen, Norway.
Hans FlaattenDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Margrethe A SchaufelDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore older patients' ICU admission preferences and their next-of-kins' ability to predict these preferences.

designSelf-administered survey.

settingThree outpatient clinics, urban tertiary teaching hospital, Norway. PATIENTS: Purposive sample of outpatients 80 years old or older regarded as potential ICU candidates and their next-of-kins.

interventionsNone. MEASUREMENTS AND MAIN

resultsWe asked about the patients' ICU admission preferences in three hypothetical scenarios of acute critical illness. Next-of-kin respondents were asked to make a proxy statement regarding the older respondents' wishes regarding ICU admission. For each treatment choice, all respondents could provide their level of confidence. Additionally, we sought to identify demographic and healthcare-related characteristics that potentially influenced ICU admission preferences and proxy accuracy. Of 202 outpatients 80 years old or older, equal proportions opted for (39%; CI, 33-45%) and against (40%; CI, 34-46%) ICU admission, and one in five (21%; CI, 17-26%) did not wish to engage decision-making. Male gender, religiosity, and prior ICU experience increased the likelihood of older respondents opting for ICU admission. Although next-of-kins' proxy statements only weakly agreed with the older respondents' true ICU admission preferences (52%; CI, 45-59%), they agreed with the next-of-kins' own ICU admission preferences (79%; CI, 73-84%) to a significantly higher degree. Decisional confidence was high for both the older and the next-of-kin respondents.

conclusionsIn this purposive sample of Norwegian potential ICU candidates 80 years old or older, we found substantial variation in the ICU admission preferences of very old patients. The next-of-kins' proxy statements did not align with the ICU admission preferences of the older respondents in half of the pairs, but next-of-kins' and older respondents' confidence levels in rendering these judgments were high.

Indexed as

Critical IllnessIntensive Care UnitsPatient AdmissionPatient PreferenceAged, 80 and overDecision MakingFemaleHumansMaleNorwaySurveys and Questionnaires

Identifiers

PMID39652434
PMCPMC11630954

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LicenceCC BY-NC-ND
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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.