Facilitators and Barriers to Access to Pediatric Medical Services in a Community Hospital
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Missed medical appointments decrease continuity of medical care, waste resources, and may affect health outcomes. We examined the factors associated with missed children’s supervision visits in Eastern Brooklyn, NY, USA. Methods: We surveyed guardians whose children received routine medical care at four pediatric clinics. Participants filled out a questionnaire that queried: demographics, food security, recent relocation, parental support of healthy behaviors, and length of knowing provider. Preexisting disease(s) and missed visits were retrieved from medical records. Regression analyses were used to determine factors that were associated with missing medical appointments. Results: Among 213 families, 33% faced food insecurity and 16.4% reported moving within the past 12 months. Forty percent of children missed at least 1 visit. Food insecurity (adjusted odds ratio [aOR] 2.3, 95% confidence interval [CI 1.0% to 5.2%) and recent relocation (aOR 1.8, 95% CI 1.1-3.4 were associated with missed health supervision visits, whereas greater parental healthy behaviors (aOR 0.5, 95% CI 0.3-0.9) and longer length of knowing provider (aOR 0.8, 95% CI 0.7-1.0) were associated with fewer missed appointments. Conclusion: This study indicates that social inequity may contribute to poor adherence to medical appointments through multiple mechanisms, including food insecurity, lack of social stability, and parental health behaviors. Multidimensional proactive prevention, and reactive tolerance should be considered as opportunities to mitigate the impact of social inequity on health outcomes.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.007 |
| 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 it