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Record W4403642286 · doi:10.4187/respcare.11912

Implementation Strategies Used to Reduce Unplanned Extubations in the Neonatal ICU

2024· article· en· W4403642286 on OpenAlexaff
Michael Finelli, Efrosini Papaconstantinou, Carolyn McGregor, Mika Nonoyama

Bibliographic record

VenueRespiratory Care · 2024
Typearticle
Languageen
FieldMedicine
TopicHealthcare Technology and Patient Monitoring
Canadian institutionsSickKids FoundationCentre for Disability Prevention and RehabilitationHospital for Sick ChildrenOntario Tech University
Fundersnot available
KeywordsMedicineNeonatal intensive care unitIntensive care unitIntensive care medicineIntensive carePediatrics

Abstract

fetched live from OpenAlex

Background: Unplanned extubation (UE) is the premature or unintended removal of an artificial airway and can cause worse patient outcomes. Study objectives were to describe implementation strategies used to reduce UE in the Hospital for Sick Children neonatal ICU (NICU) and their influence on UE rates, and contributing factors and patient characteristics of infants who had an UE, and compare them between the biological sexes. We hypothesized that the boys would experience more UEs and worse outcomes compared to the girls. Methods: The single-center retrospective cohort study included all infants who experienced UE (2007–2019). Outcomes consisted of implementation reduction strategies developed by using the plan-do-study-act quality-improvement methodology and UE characteristics, including patient (eg, sex, length of stay) and unplanned extubation situation characteristics (eg, events and/or procedures, repeats). Five plan-do-study-act cycles were implemented. Analyses included text summaries of all strategies, and quantitative descriptive and comparative statistics. Results: UE per 100 ventilator days decreased from 3.46 to 0.14. Key success factors included setting achievable goals; ensuring that strategies were evaluated and amended; maintaining consistency over the long-term; incorporating strategies in the NICU; having institutional support and validation; and having good communication. There were 302 UE in 257 infants, 141 boys (55%), average ± SD gestational age of 31 ± 6 weeks, and 31 (12%) had 45 repeated UEs. The only significant difference between the biological sexes was that more boys (129 [92%]) versus girls (94 [83%]) received the Hospital for Sick Children NICU endotracheal tube taping protocol ( P = .030). The incidence of UE occurred in a 2-peaked pattern, highest for those < 32 weeks and ≥ 32 weeks of gestational age. Infants < 32 weeks of gestational age and with repeated UE had longer durations of invasive mechanical ventilation and length of stay. For infants <32 versus => 32 weeks gestational age, the median (interquartile range) duration of mechanical ventilation was 38 (16–77) d versus 6 (3–13) d and hospital length of stay 61 (30–100) d versus 16 (10–41) d. For infants with repeated versus no repeated unplanned extubations, duration of mechanical ventilation was 69 (26–125) d versus 13 (4–52) d and hospital length of stay 90 (39–137) d versus 32 (12–75) d. Conclusions: Detailed well-planned UE reduction strategies significantly reduced the rate of UEs with key factors of success identified. UE characteristics and infant morbidity did not differ between the biological sexes. Infants < 32 weeks of gestational age and with repeated UE had a longer duration of mechanical ventilation and length of stay.

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)0.031
metaresearch head score (Gemma)0.082
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.082
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.082
GPT teacher head0.430
Teacher spread0.348 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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