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Record W4386985066 · doi:10.1093/pch/pxad055.098

98 Seeing the Unseen– A Retrospective Review of the Demographic Characteristics of a Place-based, Inner-City Social Paediatrics Program

2023· review· en· W4386985066 on OpenAlexaboutno aff
Judy So, Sunny Li Sun, Annie Kim, Saina Nemati, Michelle M. Kim, G. C. McIntosh, Kristina Pikksalu, Christine Loock, Matthew Carwana

Bibliographic record

VenuePaediatrics & Child Health · 2023
Typereview
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyMedicineOutreachSocial determinants of healthHealth careEthnic groupPovertyFamily medicineHealth equityReferralIndigenousPediatricsPublic healthPolitical scienceNursing

Abstract

fetched live from OpenAlex

Abstract Background Social paediatrics is a holistic approach to child and youth health that considers the society and environment the child lives in, and aims to address social determinants of health (SDoH) to improve health equity. Place-based social paediatrics clinics minimize health disparities through outreach programs, navigational support, and facilitating access to specialty care services. This model of care was developed in the past few decades as it became widely accepted that SDoH and adverse childhood events have a direct impact on child health. Typical clinic demographics and most prevalent care needs are not well described. Objectives Identify key demographic features and common diagnoses seen by a social paediatrics program’s primary and specialty care services. Design/Methods Ethical approval was obtained from institutional REB. A retrospective chart review of patients accessing the program between Jan 1, 2018 and April 30, 2021, with no additional exclusion criteria, was conducted. Demographic information, factors influencing SDoH, and past medical history were collected. Basic descriptive statistics were used for analysis of the data collected. Results 144 charts have been reviewed to date. The mean age in years at initial assessment was 6.22 (0.07–25.84). The most commonly documented ethnicity was Indigenous (30%), followed by Latinx (8%) and Middle Eastern (8%); 45% of patients were unspecified, as race is not consistently collected in Canadian health records. Poverty was mentioned as an issue in 52 (36%) patients’ charts, ministry involvement noted in 29 (20%), and substance use in 45 (31%) of households. 74 (51%) of charts had evidence of at least one adverse SDoH (e.g. financial and/or housing instability, food insecurity) that could negatively influence health equity. The most frequently documented diagnoses were skin disorders (38%), ADHD (31%), upper respiratory tract infections (29%), learning disability (27%), and speech delay (25%). Developmental disorders were diagnosed in 79 (55%) patients and 45 (31%) had at least one incidence of being seen by a nurse practitioner or general paediatrician for a mental health concern. Conclusion Place-based, equity-oriented social paediatrics clinics see more socially and developmentally complex individuals than traditional paediatric clinics or community health programs. Data analysis of the population seen by our inner-city program found 55% and 31% of patients had developmental and mental concerns, respectively. This suggests that clinicians planning or working in similar programs should be prepared to support neurodevelopmental, mental health, and common medical conditions (e.g. skin disorders and infections).

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)0.002
metaresearch head score (Gemma)0.005
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: Review · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.447
Teacher spread0.312 · 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
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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