The creation of a specializedmedical-dental clinic for adults with developmental disabilities in Montreal, Canada
Bibliographic record
Abstract
Purpose There is inadequate health care for patients with developmental disabilities (DD), due to a number of systemic issues. This case study describes the establishment of a medical-dental clinic in Montréal, Québec for adults with DD. The purpose of this paper is to describe the model of interdisciplinary care based on best practices, as an example to encourage a growing community of trained health professionals to serve this population. Design/methodology/approach Interviews with all the clinic staff and leadership were conducted on-site at the clinic, followed by document review and discussions with an embedded researcher in the organization. Findings The clinic was established through a series of events that led to public and government interest to act, the timely emergence of major donors, and bringing together several dedicated individuals and organizations. The core team engaged in consultation with clinics, followed by extensive billing analyses and iterative process mapping as a learning organization. Prior to patient visits, the clinic conducted detailed intake processes to adequately plan for each patient interaction. Desensitization visits were undertaken to improve patient tolerance for examination and treatment. The continual collection of data fed into an evaluation framework to facilitate continuous improvement and articulate a model for replication. Originality/value To the best of the authors knowledge, there is not a clinic of this nature serving this population in Canada. This work can serve to inform the efforts of other care providers looking to create a medical – dental home for this population.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".