Evidence map›Paper›PMID 38347583›Full record

ArticleBMC medical informatics and decision making2024

Varying (preferred) levels of involvement in treatment decision-making in the intensive care unit before and during the COVID-19 pandemic: a mixed-methods study among relatives.

Sophie C Renckens, H Roeline Pasman, Zina Jorna, Hanna T Klop, Chantal du Perron, Lia van Zuylen, Monique A H Steegers, Birkitt L Ten Tusscher, Margo M C van Mol, Lilian C M Vloet and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2024. 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
1.8field-weighted citation impact, top 18% of its field
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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Sophie C RenckensDepartment of Public and Occupational Health, Amsterdam UMC, location VU Medical Center, Amsterdam, The Netherlands. s.renckens@amsterdamumc.nl.
H Roeline PasmanDepartment of Public and Occupational Health, Amsterdam UMC, location VU Medical Center, Amsterdam, The Netherlands.
Zina JornaDepartment of Public and Occupational Health, Amsterdam UMC, location VU Medical Center, Amsterdam, The Netherlands.
Hanna T KlopDepartment of Public and Occupational Health, Amsterdam UMC, location VU Medical Center, Amsterdam, The Netherlands.
Chantal du PerronDepartment of Public and Occupational Health, Amsterdam UMC, location VU Medical Center, Amsterdam, The Netherlands.
Lia van ZuylenExpertise Center for Palliative Care Amsterdam UMC, Amsterdam, The Netherlands.
Monique A H SteegersExpertise Center for Palliative Care Amsterdam UMC, Amsterdam, The Netherlands.
Birkitt L Ten TusscherDepartment of Intensive Care Medicine, Amsterdam UMC, location VU Medical Center, Amsterdam, The Netherlands.
Margo M C van MolErasmus MC, Department of Intensive Care Medicine Adults, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Lilian C M VloetFoundation Family and patient Centered Intensive Care (FCIC), Alkmaar, The Netherlands.
Bregje D Onwuteaka-PhilipsenDepartment of Public and Occupational Health, Amsterdam UMC, location VU Medical Center, Amsterdam, The Netherlands.
Netherlands Center for Occupational Diseases · NLAmsterdam UMC Location VUmc · NLAmsterdam University Medical Centers · NLHAN University of Applied Sciences · NLMedisch Centrum Alkmaar · NLReformed University of Applied Sciences · NL

Funding

ZonMw 844001801
6 · The paper itself

Abstract

backgroundIn the intensive care unit (ICU) relatives play a crucial role as surrogate decision-makers, since most patients cannot communicate due to their illness and treatment. Their level of involvement in decision-making can affect their psychological well-being. During the COVID-19 pandemic, relatives' involvement probably changed. We aim to investigate relatives' involvement in decision-making in the ICU before and during the pandemic and their experiences and preferences in this regard.

methodsA mixed-methods study among relatives of ICU patients admitted to an ICU before or during the COVID-19 pandemic. Relatives in six ICUs completed a questionnaire (n = 329), including two items on decision-making. These were analysed using descriptive statistics and logistic regression analyses. Subsequently, relatives (n = 24) were interviewed about their experiences and preferences regarding decision-making. Thematic analysis was used for analysing the qualitative data.

resultsNearly 55% of the relatives indicated they were at least occasionally asked to be involved in important treatment decisions and of these relatives 97.1% reported to have had enough time to discuss questions and concerns when important decisions were to be made. During the first COVID-19 wave relatives were significantly less likely to be involved in decision-making compared to relatives from pre-COVID-19. The interviews showed that involvement varied from being informed about an already made decision to deliberation about the best treatment option. Preferences for involvement also varied, with some relatives preferring no involvement due to a perceived lack of expertise and others preferring an active role as the patient's advocate. Discussing a patient's quality of life was appreciated by relatives, and according to relatives healthcare professionals also found this valuable. In some cases the preferred and actual involvement was in discordance, preferring either a larger or a smaller role.

conclusionsAs treatment alignment with a patient's values and preferences and accordance between preferred and actual involvement in decision-making is very important, we suggest that the treatment decision-making process should start with discussions about a patient's quality of life, followed by tailoring the process to relatives' preferences as much as possible. Healthcare professionals should be aware of relatives' heterogeneous and possibly changing preferences regarding the decision-making process.

Indexed as

COVID-19PandemicsCritical CareDecision MakingFamilyHumansIntensive Care UnitsQuality of LifeCOVID-19Critical careDecision-makingFamily supportICUQuality of life

Identifiers

PMID38347583
PMCPMC10863197
OpenAlexW4391741684

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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.