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Record W2942045577 · doi:10.9778/cmajo.20180123

Feasibility and acceptability of family administration of delirium detection tools in the intensive care unit: a patient-oriented pilot study

2019· article· en· W2942045577 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCMAJ Open · 2019
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsAlberta Health
FundersCanadian Institutes of Health Research
KeywordsDeliriumMedicineFeelingIntensive care unitFamily memberConfusionFamily medicinePsychiatryPsychology

Abstract

fetched live from OpenAlex

<h3>Background:</h3> Family-administered delirium detection tools may serve as valuable diagnostic adjuncts because family caregivers may be better able than providers to detect changes in patient cognition and behaviour from pre-illness levels of functioning. The aim of this pilot study was to assess the feasibility and acceptability of family-administered tools to detect delirium in critically ill patients. <h3>Methods:</h3> In this single-centre pilot tool validation study conducted in August and September 2017, eligible family caregivers used the Family Confusion Assessment Method (FAM-CAM) and the Sour Seven questionnaire to detect delirium during the patient’s intensive care unit (ICU) stay. We calculated descriptive statistics for all study variables. Patients and family caregivers were involved as research partners throughout the study. A patient-orient research approach was taken, engaging patients and family caregivers as full partners. <h3>Results:</h3> Of 141 patients admitted to the ICU, 75 were eligible, of whom 53 were approached; 21 patients (40%), 23/38 family caregivers (60%) and 17/38 dyads (i.e., patient and family caregiver enrolled together) (45%) consented to participate. The most common reason for nonenrolment was refusal by the family, who commonly reported feeling overwhelmed. The completion rate for the FAM-CAM and Sour Seven questionnaire was 74% (17/23). Among 13 dyads, family caregivers detected delirium in 5 patients (38%) using the FAM-CAM, and delirium or possible delirium in 8 patients (62%) using the Sour Seven questionnaire, whereas trained research assistants detected delirium in 8 patients (62%) using the Confusion Assessment Method for the Intensive Care Unit 7 and the Richmond Agitation–Sedation Scale (κ coefficient for agreement between the former and the FAM-CAM and Sour Seven questionnaire 0.62 and 0.85, respectively). <h3>Interpretation:</h3> Administration of the FAM-CAM and Sour Seven questionnaire by family caregivers to detect delirium in the ICU is feasible and acceptable, although, as with most family engagement strategies, it was not desired by all. Results from this pilot study support a definitive study with a larger sample to enable calculation of inferential statistics, but additional recruitment strategies are necessary to improve the response rate. <b>Trial registration:</b>Clinicaltrials.gov, no. NCT03379129.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.361
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it