How Should Clinicians Follow Up About Nonresponses to Mandatory SDoH Screening Questions?
Bibliographic record
Abstract
Structural determinants of health (SDoH) screening is key to good pediatric care, but fear of life-altering consequences can prevent adults from disclosing information, while time constraints disincentivize clinicians from addressing some awkward but important SDoH topics relevant to good care planning and management.Transparency, clarity, and a nonjudgmental attitude can help cultivate safe multidisciplinary communication and openness during a clinical encounter.Even more important than screening for SDoH is responding to children's unmet needs that screening reveals, which is the focus of this commentary on a case.The American Medical Association designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 Credit available through the AMA Ed Hub TM .Physicians should claim only the credit commensurate with the extent of their participation in the activity.Case JJ is a single parent of twins, who is recently unemployed and struggling to cover costs of everyday living.When JJ takes their child to a family medicine physician, Dr P, for the child's annual physical examination, Dr P asks JJ to complete a form.One question, Do you have trouble paying utility bills?, makes JJ nervous about answering honestly, due to worry that they will be perceived as incapable of caring well for their child.JJ leaves the response area to this question blank.Dr P notices this omission but must enter information into the child's electronic health record as part of the structural determinants of health (SDoH) screening required by the state's Medicaid managed care plan.Dr P considers how to bring up JJ's lack of response to this screening question. CommentaryCases like this one are common in primary care and reflect resource distribution inequity that affects SDoH.Poverty and other SDoH are correlated with increased pediatric morbidity and mortality, including increased rates of hospitalization for acute as well as chronic illnesses. 1,2,3,4Addressing these SDoH can improve the health and well-being of children and families. 1,2,3,4Despite the fundamental impact that SDoH have on patients' health, patients' social needs can be a difficult topic to address-from the
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".