Evidence map›Paper›PMID 40102376›Full record

Observational studyCanadian journal of anaesthesia = Journal canadien d'anesthesie2025

Development and initial testing of an illness perception questionnaire for substitute decision makers of critically ill patients: a mixed methods study.

Louise Mui, Brenda Morgan, Michaël Chassé, Jacob Crawshaw, Claudio M Martin

Abstract readObservational Study
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In one paragraph

Observational study in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Louise MuiSchulich School of Medicine & Dentistry, Western University, London, ON, Canada.
Brenda MorganCritical Care Trauma Centre, London Health Sciences Centre, London, ON, Canada.
Michaël ChasséDepartment of Medicine, Centre hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Jacob CrawshawCentre for Evidence-Based Implementation, Hamilton Health Sciences, Hamilton, ON, Canada.
Claudio M MartinDivision of Critical Care Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada. critical367@gmail.com.ORCID 0000-0003-3971-3166

Funding

Research Support, Non-US Gov’t
6 · The paper itself

Abstract

purposeThe Brief Illness Perception Questionnaire (Brief-IPQ) is used to quantify a patient's understanding of their condition. In critical care settings, substitute decision makers (SDMs) are tasked with making decisions on behalf of patients, but it can be difficult to evaluate how they perceive the patient's illness. We developed the Illness Perception Questionnaire for Substitute Decision Makers (IPQ-SDM) by adapting the Brief-IPQ and testing it with SDMs of patients in critical care.

methodsIn a mixed methods study, we modified the Brief-IPQ for the context of SDMs of critically ill patients using qualitative feedback. We then approached SDMs of critically ill patients three days after intensive care unit (ICU) admission to complete the IPQ-SDM in a prospective observational study. We calculated summary statistics for the individual questions and the total score. We evaluated prespecified associations between individual questions as well as the total score with clinical data that were abstracted from the patient chart.

resultsWe received 44/50 (88%) complete responses with a mean (standard deviation [SD]) total score of 43 (11). Forty-six percent reported that they did not have any in-person visits due to the restrictions during the COVID-19 pandemic. The correlation of total score with the nine equivalents of nursing manpower score (NEMS) was 0.42 (P = 0.005) but it was not correlated (P = 0.07) with the multiple organ dysfunction score (MODS). The total mean (SD) score was higher (i.e., worse) for patients who died in hospital (48.2 [9.7], n = 13) than for those who were discharged alive (40.5 [10.2], n = 31, P = 0.03). Concern regarding the illness was correlated with MODS (Spearman correlation coefficient [ρ] = 0.39, P = 0.01) and NEMS (ρ = 0.29, P = 0.04).

conclusionWe observed a modest level of correlation of the IPQ-SDM score with clinical measures in the adult ICU setting. Further research is needed before such a tool is broadly implemented.

Indexed as

Critical CareCritical IllnessDecision MakingAdultAgedCOVID-19FemaleHumansIntensive Care UnitsMaleMiddle AgedPerceptionProspective StudiesSurveys and Questionnairescritical carecritical illnessillness perceptionintensive careprognosisquestionnaire designsubstitute decision-making

Identifiers

PMID40102376

What OpenQuestion holds

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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.