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Record W4248017145 · doi:10.21203/rs.3.rs-23140/v1

Implementation and adherence to the Bedside Paediatric Early Warning System (BedsidePEWS) in a pediatric tertiary care hospital

2020· preprint· en· W4248017145 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsnot available
FundersOspedale Pediatrico Bambino Gesù
KeywordsTertiary careMedicineWarning systemIntensive care medicineMedical emergencyFamily medicineComputer science

Abstract

fetched live from OpenAlex

Abstract Background Clinical deterioration in children admitted to hospital wards often manifests through signs of increasing illness severity that may lead to unplanned Pediatric Intensive Care Unit admissions or cardiac arrest, if undetected. The Bedside Pediatric Early Warning System (BedsidePEWS) is a validated Canadian scoring system used at a large tertiary care children’ hospital to prevent critical illness and standardize the response to deteriorating children on the wards. Methods A 6-month audit was performed to evaluate the use of the BedsidePEWS, escalation of patient observations, monitoring and medical reviews on the wards in 2018.Two research nurses performed weekly visits to the hospital wards to collect data on BedsidePEWS scores, medical reviews, type of monitoring and vital signs recorded. Data were described through means or medians according to the distribution. Inferences were calculated either with Chi-square, Student’s t test or Wilcoxon-Mann–Whitney test, as appropriate (P <0.05 considered as significant). Results A total of 522 Vital Signs (VS) and score calculations on 177 patient clinical records were observed from 13 hospital inpatient wards. Frequency of VS and score documentation occurred <3 times per day in 33% of the observations. Adherence to the VS documentation frequency according to the hospital protocol was observed in 54% for all patients; for children with chronic health conditions (CHC) it was significantly lower than children admitted for acute medical conditions (47%, P =0.006). The BedsidePEWS score was correctly calculated and documented in 84% of the observed VS documentation events. Systolic blood Pressure was recorded in 79% and Temperature in 91% of the VS recording events. Patients within a 0-2 BedsidePEWS score range were all reviewed at least once a day by a physician. Only 50% of the patients in the 5-6 score range were reviewed within 4 hours and 42% of the patients with a score ≥7 within 2 hours. Transcutaneous Oxygen Saturation continuous monitoring was applied to 60% of the children at higher risk (BedsidePEWS ≥5). Conclusions Escalation of patient observations, monitoring and medical reviews matching the BedsidePEWS is still suboptimal. Children with CHC are at higher risk of lower compliance. Impact of adherence to predefined response algorithms on patient outcomes should be further explored.

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.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.006
Research integrity0.0010.007
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 head0.066
GPT teacher head0.430
Teacher spread0.363 · 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