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Record W2763081860 · doi:10.1093/pch/19.6.e35-175

179: Integrating Developmental Services with School-Based Health Care: Feasibility, Efficacy and Relevance in a Universal Healthcare System

2014· article· en· W2763081860 on OpenAlexaffabout
Fan Yang, Michael Sgro, Sloane Freeman

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsHealth careMedicineFamily medicineMedical diagnosisPediatrics

Abstract

fetched live from OpenAlex

The School-based health center (SBHC) is an emerging model for developmental healthcare delivery in Canada. Despite access to universal healthcare, barriers such as language, cultural differences and transportation affect access for children in underserved populations in Canada. The Model Schools Pediatric Health Initiative is the first SBHC program in Ontario, Canada established to alleviate barriers inner city children face to accessing developmental care. As part of the program, pediatricians attend interdisciplinary monthly school based (school support team, SST) meetings to help identify which students require developmental assessments and then offer them through the participating SHBC. To provide an update on the Model Schools Pediatric Health Initiative SHBC program with respect to feasibility and efficacy. A retrospective chart review of all clinic users from November 2010 to January 2012 was conducted and a prospective longitudinal cross-sectional analysis was implemented from February 2012 to June 2013. Among those referred for developmental concerns, time from identification at the SST meeting to first developmental assessment at the SBHC was calculated. The feasibility metrics included the number of children who enrolled at the SBHC. The efficacy metrics included the proportion of enrolled children who attended the SBHC, the proportion of new diagnoses established, as well as wait times. In total, 1042 children enrolled at the SBHC and 443 (43%of those that enrolled) attended the SBHC. There were a total of 282 new diagnoses established at the SBHC and among these 181 (64%) were in the developmental diagnostic category. From March 2012 to April 2013, 41 students were referred for developmental assessments from the School Support Team (SST). Thirty-three assessments were completed at the time of analysis and the mean wait time from presentation at the SST to developmental assessment was 102 days. The SBHC has proven to be feasible and efficacious. This model relies on an integrated approach whereby pediatricians and school board professionals meet monthly to discuss and triage at risk students needing developmental assessments. This process allows for better understanding of school related problems and provides assessments within the school setting thereby eliminating some barriers to healthcare access. Relative to the standard of care this process is fast and efficient and creates an optimal setting to increase access to specialized developmental services for inner city children facing barriers to accessing health-care in Canada.

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)0.023
metaresearch head score (Gemma)0.041
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: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.041
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.324
Teacher spread0.305 · 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
Published2014
Admission routes2
Has abstractyes

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