Specialized primary care medical home: A positive impact on continuity of care among autistic adults
Bibliographic record
Abstract
While the medical home has proven effective at improving continuity of care among other populations, there is a paucity of literature testing the effectiveness of medical homes in serving the healthcare needs of autistic adults. We conducted a retrospective cohort study to compare the continuity of care of autistic adult patients at a specialized primary care medical home designed to remove barriers to care for autistic adults, called the Center for Autism Services and Transition (CAST), to propensity score matched national samples of autistic adults with private insurance or Medicare. The unadjusted median Bice–Boxerman continuity of care index was 0.6 (interquartile range = 0.4–1.0) for CAST patients, 0.5 (interquartile range = 0.3–1.0) for Medicare beneficiaries, and 0.6 (interquartile range = 0.4–1.0) for privately insured autistic adults. In multivariable models controlling for demographic characteristics, on average, CAST patients had continuity of care indices that were 10% higher than national samples of autistic adult Medicare beneficiaries (p < 0.0001). Continuity of care among CAST patients did not significantly differ from that of the national sample of privately insured autistic adults (p = 0.08). Our findings suggest that medical homes, like CAST, may be a promising solution to improve healthcare delivery for the growing population of autistic adults. Lay abstract There is a nationally recognized need for innovative healthcare delivery models to improve care continuity for autistic adults as they age out of pediatric and into adult healthcare systems. One possible model of care delivery is called the “medical home”. The medical home is not a residential home, but a system where a patient’s healthcare is coordinated through a primary care physician to ensure necessary care is received when and where the patient needs it. We compared the continuity of care among autistic adult patients at a specialized primary care medical home designed to remove barriers to care for autistic adults, called the CAST, to matched national samples of autistic adults with private insurance or Medicare. Continuity of primary care among CAST patients was significantly better than that of matched national samples of autistic adult Medicare beneficiaries and similar to that of privately insured autistic adults. Our findings suggest that medical homes, like CAST, are a promising solution to improve healthcare delivery for the growing population of autistic adults.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".