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Patient and Family Engagement in Australian and New Zealand Adult Critical Care Trials

2025· article· en· W4410276256 on OpenAlexaffabout
Kimberley Haines, N. Evertz, Adaline Maitland Baker, Samantha Bates, Karen E. A. Burns, Marisa Comitini, Adam M. Deane, Donald P. Goldsmith, Manoj Saxena, David Trevor, Andrew Udy, Yasmine Ali Abdelhamid

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineCritical illnessMEDLINEIntensive careIntensive care medicineFamily medicineCritically ill

Abstract

fetched live from OpenAlex

Abstract Rationale: Engaging critical care patients and their families in research design and conduct is a relatively new paradigm, yet is increasingly viewed as an ethical and scientific necessity. Within the Australian and New Zealand healthcare setting, the extent and quality of engagement in critical care trials is unknown. We sought to assess patient and family engagement in adult critical care clinical trials endorsed by the Australia and New Zealand Intensive Care Society's Clinical Trials Group (ANZICS CTG) over the past five years. Methods: We conducted a two-phase study: Phase 1 included an independent retrospective appraisal of patient and family engagement activities in trial protocols, progress reports, and published manuscripts. Phase 2 was a cross-sectional electronic survey of trial principal investigators and project managers. Both phases assessed the practice of patient and family engagement using a modified version of an existing tool (developed by the Canadian Critical Care Trials Group (CCCTG) Patient and Family Partnership Committee). The questionnaire also explored the priority of engagement, types of engagement activities, and barriers and facilitators of engagement. We used the Guidelines for Reporting the Impact of Patient and Public Involvement in Research 2 (GRIPP2) to summarize findings from Phase 1. Results: Phase 1: Of the 35 trials reviewed, although patient and family engagement was most frequently reported in the original trial protocol submitted to the ANZICS-CTG for endorsement (n=8, 23%), no patient and family engagement activities were reported in any of the final 10 trial publications. Phase 2: Questionnaire responses were available for 29/35 (82.9%) trials. In contrast to phase 1 results, 69% (n=20) of survey respondents reported undertaking some form of patient and family engagement during their trial. Engagement facilitators included using staff experienced in engagement, availability of staff to engage with patients and family, and priority and support given by hospital and departmental leadership. Barriers to engagement included a lack of resources and patient and family unavailability for engagement activities (Figure 1). Conclusions: We identified low rates of patient and family engagement in critical care clinical trial protocols and manuscripts endorsed via the ANZICS CTG over the past five years. Dedicated resources, supportive infrastructure, and assessment of the impact of patient and family engagement on research processes and outcomes is required to help advance engagement in clinical trials. Figure 1 – Summary of facilitators and barriers to patient and family engagement in critical care trials

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.329
metaresearch head score (Gemma)0.471
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.827

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3290.471
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0030.005
Scholarly communication0.0050.005
Open science0.0020.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.127
GPT teacher head0.454
Teacher spread0.327 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainMethods
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

Citations0
Published2025
Admission routes2
Has abstractyes

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