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Record W4376121487 · doi:10.1111/jocn.16752

A randomised controlled trial of a nutrition and a decision support intervention to enable partnerships with families of critically ill patients

2023· article· en· W4376121487 on OpenAlexafffund
Andrea P. Marshall, Lauren J. Van Scoy, Wendy Chaboyer, Mary Chew, Judy E. Davidson, Andrew G. Day, Angelly Martinez, Jayshil J. Patel, Shelley Roberts, Yoanna Skrobik, Beth Taylor, Georgia Tobiano, Daren K. Heyland

Bibliographic record

VenueJournal of Clinical Nursing · 2023
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsQueen's UniversityMcGill UniversityClinical Evaluation Research UnitKingston General Hospital
FundersCanadian Institutes of Health ResearchGriffith UniversityPennsylvania State UniversityWashington University in St. LouisUniversity of Pennsylvania
KeywordsMedicineIntervention (counseling)Randomized controlled trialPsychological interventionFamily medicineInformed consentNursingAlternative medicine

Abstract

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AIMS AND OBJECTIVES: The aim of the study was to investigate the effect of supporting family members to partner with health professionals on nutrition intakes and decision-making and to evaluate intervention and study feasibility. BACKGROUND: Family partnerships can improve outcomes for critically ill patients and family members. Interventions that support families to engage with health professionals require evaluation. DESIGN: A multi-centre, randomised, parallel group superiority Phase II randomised controlled trial. METHODS: In nine intensive care units (ICUs) across three countries, critically ill patients ≥60 years, or those 55-59 years with advanced chronic diseases and expected ICU length of stay >72 h and their family member were enrolled between 9 May 2017 and 31 March 2020. Participants were randomised (1:1:1) to either a decision support or nutrition optimisation family-centred intervention, or usual care. Primary outcomes included protein and energy intake during ICU and hospital stay (nutrition intervention) and family satisfaction (decision support). Study feasibility was assessed as a composite of consent rate, intervention adherence, contamination and physician awareness of intervention assignment. RESULTS: We randomised 135 patients/family members (consent rate 51.7%). The average rate of randomisation was 0.5 (0.13-1.53) per month. Unavailability (staff/family) was the major contributor to families not being approached for consent. Declined consent was attributed to families feeling overwhelmed (58/126, 46%). Pandemic visitor restrictions contributed to early study cessation. Intervention adherence for the decision support intervention was 76.9%-100.0% and for the nutrition intervention was 44.8%-100.0%. Nutritional adequacy, decisional conflict, satisfaction with decision-making and overall family satisfaction with ICU were similar for all groups. CONCLUSIONS: Active partnerships between family members and health professionals are important but can be challenging to achieve in critical care contexts. We were unable to demonstrate the efficacy of either intervention. Feasibility outcomes suggest further refinement of interventions and study protocol may be warranted. RELEVANCE TO CLINICAL PRACTICE: Interventions to promote family partnerships in critical illness are needed but require a greater understanding of the extent to which families want and are able to engage and the activities in which they have most impact. REPORTING METHOD: This study has been reported following the Consolidated Standards of Reporting Trials (CONSORT) and the Template for Intervention Description and Replication (TIDieR) guidelines. PATIENT OR PUBLIC CONTRIBUTION: Patients and caregivers were engaged in and contributed to the development and subsequent iterations of the two family-centred interventions use in this study. CLINICAL TRIAL REGISTRATION NUMBER: Trial registration. CLINICALTRIALS: gov, ID: NCT02920086. Registered on 30 September 2016. First patient enrolled on 9 May 2017 https://clinicaltrials.gov/ct2/results?cond=&term=NCT02920086&cntry=&state=&city=&dist=.

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)0.004
metaresearch head score (Gemma)0.071
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.071
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.150
GPT teacher head0.485
Teacher spread0.335 · 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 designRandomized trial
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

Citations9
Published2023
Admission routes2
Has abstractyes

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