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Record W2614826014 · doi:10.1177/0885066617705857

Family Presence in the Adult ICU During Bedside Procedures

2017· article· en· W2614826014 on OpenAlexaff
Marnie Jakab, Alex Day, Alan Kraguljac, Maedean Brown, Sangeeta Mehta

Bibliographic record

VenueJournal of Intensive Care Medicine · 2017
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineIntensive care unitFamily memberEndotracheal intubationAdverse effectIntubationEmergency medicineFamily medicineIntensive care medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To understand perspectives of family members of adult patients admitted to the medical-surgical intensive care unit (ICU) regarding their presence during procedures. METHODS: Respondents completed a questionnaire about procedures the patient had undergone, their desire to be present, and their experience. Procedures of interest were endotracheal intubation; chest compressions; vascular catheter insertion; and gastric, chest, and rectal tubes. Impact of Events Scale-Revised (IES-R) was completed at the time of questionnaire completion and again 1 month later to evaluate the psychological impact of witnessing a procedure. RESULTS: Ninety-seven respondents completed the questionnaire on behalf of 72 patients. More than 90% patients had at least 1 procedure. Only 29 (30%) family members were present for at least 1 procedure, and 44% to 100% wished to be present. Of the 68 respondents not present for a procedure, 18 (26.5%) wanted to be present. The IES-R was completed by 52 (95%) of 55 respondents who witnessed any procedure at time 1 and 28 (51%) of 55 respondents at time 2; mean IES-R scores were 8.0 and 8.8 ( P = .68), respectively. Only 2 participants had IES-R >33, signifying the likely presence of posttraumatic stress disorder. CONCLUSION: Family members wish to be present for ICU procedures, and there are no adverse psychological effects.

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)0.166
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.166
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.083
GPT teacher head0.422
Teacher spread0.339 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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