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755 One year review of child death data in greater Glasgow and Clyde

2023· article· en· W4381144728 on OpenAlexaboutno aff
Jennifer McKechnie, Amita Sharma, Claire Goodfellow, Elena Falanga, C.M. McGowan, George Oomen, L McGlone, Lynn Macleod

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsReceiptMedicinePediatricsCause of deathQuarter (Canadian coin)DemographyRetrospective cohort studyInclusion (mineral)Mortality rateFamily medicineGeographyDiseasePsychology

Abstract

fetched live from OpenAlex

Objectives The mortality rate within Scotland for under 18s is higher than in any other Western European country.1 Just over a quarter of these deaths are preventable.2 The National Hub for Reviewing and Learning from the Deaths of Children and Young people, commissioned by the Scottish Government, was launched on 1st October 2021. This is the first system of its kind in Scotland and aims to ensure a quality review is conducted on the deaths of all live born children up to the date of their 18th birthday, or 26th birthday for care leavers in receipt of continuous care or aftercare at the time of their death. Our objective was to review the data collected in NHS Greater Glasgow and Clyde (GGC), the largest health board in Scotland. Method This was a retrospective review of all cases recorded within the GGC Child Death Review research database between 1st October 2021 and 30th September 2022. Those who did not meet criteria for Child Death Review within GGC were excluded, specifically those aged 18–26 years old who were not in ongoing receipt of care at time of death, and children who died within GGC but who resided in a different health board. Results 58 cases met the inclusion criteria of which 37 (64%) were male. 69% of deaths occurred in infants (under 1 year of age). 38% were under 28 days old. Graph 1 illustrates the distribution of child death reviews over the inclusion period. Perinatal/neonatal event accounted for the largest proportion of deaths (38%). of these deaths, 68% were related to prematurity, meaning that prematurity accounted for 26% of all child deaths reviewed. There was only one death amongst 18 – 26 years old which met the inclusion criteria and this was secondary to trauma. Graph 2 shows that the majority of deaths occurred in children from the most deprived areas. Where place of death was known, 82% of deaths occurred within the hospital, 5% in a hospice and 13% occurred outside of a hospital. 98% of families were referred to Child Bereavement UK. Conclusion This abstract describes one year of child death review data since the official launch of the National Hub within GGC. Further data collection over time, and in conjunction with other health boards, will allow us to identify common themes surrounding child death in Scotland and target action to reduce preventable deaths. References NRS. Vital Events Reference Tables: www.nrscotland.gov.uk/statistics-and-datastatistics-by-theme/vital-events NRS. Avoidable Mortality. 2020. Viewed 2nd October 2022. www.nrscotland.gov.uk/statistics-and-data/vital- events/deaths/avoidable-mortality

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)0.017
metaresearch head score (Gemma)0.048
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: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.091
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.048
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0250.018
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.124
GPT teacher head0.400
Teacher spread0.277 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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