Facilitating Access to Care for Children With Complex Health Needs Through Low-Barrier Place-Based Intake Processes: Lessons From the RICHER Social Pediatric Model
Bibliographic record
Abstract
INTRODUCTION/OBJECTIVES: Exposure to adverse social determinants of health (SDoH) in childhood is associated with poorer long-term health outcomes. Within structurally marginalized populations, there are disproportionately high rates of developmentally vulnerable children. The RICHER (Responsive, Intersectoral, Child and Community Health, Education and Research) social pediatric model was designed to increase access to care in marginalized neighborhoods. The purpose of this study was to describe the children and youth engaged with the RICHER model of service and characterize the needs of the population. METHODS: A retrospective chart review was conducted on children and youth who accessed primary care services through the program between January 1, 2018 and April 30, 2021. Basic descriptive data analysis was done using Stata v15.1. RESULTS: A total of 210 charts were reviewed. The mean age in years at initial assessment was 6.32. Patients most commonly identified their race/ethnicity as Indigenous (33%) and 15% were recent newcomers to Canada. Evidence of at least 1 adverse SDoH was noted in 41% of charts; the most common included material poverty (34%), food insecurity (11%), and child welfare involvement (20%). The median number of diagnoses per patient was 4. The most frequently documented diagnoses were neurodevelopmental disorders (50%) including developmental delay (39%), ADHD (32%), and learning disability (26%). The program referred 72% of patients to general pediatricians and/or other subspecialists; 34% were referred for tertiary neuropsychological assessments and 35% for mental health services. CONCLUSIONS: Our data suggests that this low-barrier, place-based primary care RICHER model was able to reach a medically, developmentally, and socially complex population living in disenfranchised urban neighborhoods. Half of the patients identified in our review had neurodevelopmental concerns and a third had mental health concerns, in contrast to an estimated 17% prevalence for mental health, behavioral, or developmental disorders in North American general pediatric aged populations. This highlights the impact adverse SDoH can have on child health and the importance of working with community partners to identify developmentally vulnerable children and support place-based programs in connecting with children who may be missed, overlooked, or disadvantaged through traditional models of care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".