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6773 Sparkbrook Children’s Zone: a scalable model integrating the delivery of child health and early years support in a deprived area of Birmingham, UK

2024· article· en· W4401130299 on OpenAlexaboutno aff
Chris Bird, Frances Dutton, Ian Litchfield, Caroline Wolhuter

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
Fundersnot available
KeywordsThursdayPopulationMedicineFamily medicineQuarter (Canadian coin)PediatricsNursingGeographyEnvironmental health

Abstract

fetched live from OpenAlex

Objectives The NHS has prioritised integrated care1 as a possible solution to improving the delivery of child health.2 The Sparkbrook Children’s Zone (SCZ) pilots integration of place-based child health services and social support3 in the most deprived ward in Birmingham, UK.4 We describe the number of attendances at the clinic, health promotion, referrals to secondary care and CYP referred to the Early Help team for social support. Methods SCZ, a weekly afternoon clinic for CYP <16 years and funded by NHS England, serves the Balsall Heath, Sparkhill and Moseley primary care network (PCN, CYP population = 14,000). The clinic comprises: GP, paediatrician, mental health drop-in service, Early Help connector (to provide support on a wide range of social issues for struggling families). Aggregate data on attendances and referrals collected retrospectively as a service evaluation. Results A total of 90 integrated clinics, 75 on a Thursday, 15 additional pilot clinics on alternate Mondays (5 slots Between April 2022 and July 2023) were delivered, with 886 patients booked into available slots (91%), of which 16% did not attend (DNA, see table 1). We estimate preliminary savings for secondary care referrals avoided at £83,000 during this period. Family feedback has been largely positive and DNAs were reduced to 11% in the last quarter (to end September 2023) through opening a satellite clinic closer to families in another part of the PCN’s geographical footprint. A third of CYP were referred to our Early Help service with the three main issues: CYP with autism and behaviour/sleep issues (neurodiversity), mental health and housing (see figure 1). Data for the first 154 CYP referred to Early Help showed 40% required a Family Connect form for multi- agency support but no CYP were escalated to social services. Conclusion SCZ demonstrates a scalable and potentially cost-effective model to integrate delivery of child health and early years interventions to address social determinants of health. References NHS. The NHS Long Term Plan, 2019, (accessed 5th September 2023): https://www.longtermplan.nhs.uk/wp-content/uploads/2019/08/nhs-long-term-plan-version-1.2.pdf Wolfe I, Lemer C, Cass H. Integrated care: a solution for improving children’s health? Arch Dis Child 2016 Nov;101(11):992–997. doi: 10.1136/archdischild-2013-304442. Dutton F, Wolhuter C, Kaur S, et al. 1066 A proposed pilot to integrate health and social care to tackle child inequality: the Sparkbrook Children’s Zone, Birmingham. Archives of Disease in Childhood 2022;107:A56. Birmingham City Council. Ward profile: Sparkbrook and Balsall Heath East. 19th May 2023.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.169
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0020.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0530.006

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 head0.030
GPT teacher head0.331
Teacher spread0.302 · 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
Published2024
Admission routes1
Has abstractyes

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