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Record W2600069142 · doi:10.1111/nicc.12288

A post cardiac surgery intervention to manage delirium involving families: a randomized pilot study

2017· article· en· W2600069142 on OpenAlexafffund
Tanya Mailhot, Sylvie Cossette, José Côté, Anne Bourbonnais, Marie‐Claude Côté, Yoan Lamarche, André Denault

Bibliographic record

VenueNursing in Critical Care · 2017
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalCentre Hospitalier de l’Université de MontréalUniversité de MontréalMontreal Heart Institute
FundersMinistère de l'Éducation, du Loisir et du Sport Québec
KeywordsDeliriumMedicineRandomized controlled trialPsychological interventionIntervention (counseling)AnxietyIntensive care unitCardiac surgeryPhysical therapyNursingEmergency medicineIntensive care medicinePsychiatrySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: As many delirium manifestations (e.g., hallucinations or fears) are linked to patients' experiences and personality traits, it is suggested that interventions should be tailored to optimize its management. The inclusion of family members, as part of an intervention, has recently emerged as a solution to developing individualised patient care, but has never been assessed in post-cardiac surgery intensive care unit where almost half of patients will present with delirium. AIMS: To assess the feasibility, acceptability and preliminary efficacy of an nursing intervention involving family caregivers (FC) in delirium management following cardiac surgery. DESIGN: A randomized pilot study. METHODS: A total of 30 patient/FC dyads were recruited and randomized to usual care (n = 14) or intervention (n = 16). The intervention was based on the Human Caring Theory, a mentoring model, and sources informing self-efficacy. It comprised seven planned encounters spread over 3 days between an intervention nurse and the FC, each including a 30-min visit at the patient's bedside. During this bedside visit, the FC used delirium management strategies, e.g. reorient the person with delirium. The primary indicator of acceptability was to obtain consent from 75% of approached FCs. The preliminary effect of the intervention on patient outcomes was assessed on (1) delirium severity using the Delirium Index, (2) occurrence of complications, such as falls, (3) length of postoperative hospital stay and (4) psycho-functional recovery using the Sickness Impact Profile. The preliminary effect on FC outcomes was assessed on FC anxiety and self-efficacy. Data were analysed using descriptive statistics, ANCOVAs and logistic regressions. RESULTS: The primary indicator of obtaining consent from FC was achieved (77%). Of the 14 dyads, thirteen (93%) dyads received all seven encounters planned in the experimental intervention. Intervention group patients presented better psycho-functional recovery scores when compared with control group patients (p = 0·01). Mean delirium severity scores showed similar trajectories on days 1, 2 and 3 in both groups. CONCLUSION: The mentoring intervention was acceptable and feasible and shows promising results in improving patients and FC outcomes. RELEVANCE TO CLINICAL PRACTICE: Nurses should involve, if willing, FC to participate in activities that optimise patient well-being FC to use recognized delirium management strategies like reorientation and reassurance.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.130
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.130
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.056
GPT teacher head0.392
Teacher spread0.336 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations52
Published2017
Admission routes2
Has abstractyes

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