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Pediatric Ventilator-Associated Events Before and After a Multicenter Quality Improvement Initiative

2023· article· en· W4389452783 on OpenAlexaff
Andrew Wu, Gowri Madhavan, Kathy Deakins, Dana L Evans, Angela Hayward, Caitlin Pugh, Angela Carter Stutts, Laurie Mustin, Katherine Staubach, Patricia Sisson, Maitreya Coffey, Anne Lyren, Grace M. Lee, Sameer Gupta, Lucy Pereira-Argenziano, Gregory P. Priebe, Kevin Bullock, Lori Grassmyer, Lia Lowrie, Elizabeth H. Mack, Stacey Morgan Schlafly, Bonnie Seitz, Ryan Stecks, Laurel White

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicinePsychological interventionQuality managementEmergency medicineMechanical ventilationIntensive careIntensive care medicineNursingInternal medicineOperations management

Abstract

fetched live from OpenAlex

Importance: Pediatric ventilator-associated events (PedVAEs, defined as a sustained worsening in oxygenation after a baseline period of stability or improvement) are useful for surveillance of complications from mechanical ventilation. It is unclear whether interventions to mitigate known risk factors can reduce PedVAE rates. Objective: To assess whether adherence to 1 or more test factors in a quality improvement bundle was associated with a reduction in PedVAE rates. Design, Setting, and Participants: This multicenter quality improvement study obtained data from 2017 to 2020 for patients who were mechanically ventilated and cared for in neonatal, pediatric, and cardiac intensive care units (ICUs). These ICUs were located in 95 hospitals participating in the Children's Hospitals' Solutions for Patient Safety (SPS) network in North America. Data analyses were performed between September 2021 and April 2023. Intervention: A quality improvement bundle consisted of 3 test factors: multidisciplinary apparent cause analysis, daily discussion of extubation readiness, and daily discussion of fluid balance goals. This bundle was distributed to a subgroup of hospitals that volunteered to participate in a collaborative PedVAE prevention initiative under the SPS network guidance in July 2018. Main Outcomes and Measures: Each SPS network hospital submitted monthly PedVAE rates from January 1, 2017, to May 31, 2020, and test factor data were submitted from July 1, 2018, to May 31, 2020. Analyses focused on hospitals that reliably submitted PedVAE rate data, defined as outcomes data submission through May 31, 2020, for at least 80% of the baseline and postbaseline periods. Results: Of the 95 hospitals in the SPS network that reported PedVAE data, 21 were grouped in the Pioneer cohort and 74 in the non-Pioneer cohort. Only 12 hospitals (57%) from the 21 Pioneer hospitals and 33 (45%) from the 74 non-Pioneer hospitals were considered to be reliable reporters of outcome data. Among the 12 hospitals, the PedVAE rate decreased from 1.9 to 1.4 events per 1000 ventilator days (absolute rate difference, -0.6; 95% CI, -0.5 to -0.7; P < .001). No significant change in the PedVAE rate was seen among the 33 hospitals that reliably submitted PedVAE rates but did not implement the bundle. Of the 12 hospitals, 3 that reliably performed daily discussion of extubation readiness had a decrease in PedVAE rate from 2.6 to 1.2 events per 1000 ventilator days (absolute rate difference, -1.4; 95% CI, -1.0 to -1.7; P < .001), whereas the other 9 hospitals that did not implement this discussion did not have a decrease. Conclusions and Relevance: This study found that a multicenter quality improvement intervention targeting PedVAE risk factors was associated with a substantial reduction in the rate of PedVAEs in hospital ICUs. The findings suggest that ICU teams seeking to reduce PedVAEs incorporate daily discussion of extubation readiness during morning rounds.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.033
GPT teacher head0.350
Teacher spread0.316 · 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.

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

Citations10
Published2023
Admission routes1
Has abstractyes

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