Managing complexity in care of patients with intellectual and developmental disabilities: Natural fit for the family physician as an expert generalist.
Bibliographic record
Abstract
OBJECTIVE: To delineate the factors inherent in caring for patients with intellectual and developmental disabilities (IDD) that lead to complexity and to provide perspectives and techniques mapped to the phases of the clinical encounter. SOURCES OF INFORMATION: The authors of the physical health section of the 2018 Canadian consensus guidelines on the primary care of adults with IDD consisted of family physicians, all of whom practise comprehensive family medicine with additional clinical experience in care of adults with IDD. These authors reviewed evidence on which their recommendations are based and these recommendations have undergone a rigorous peer review to ensure that they deserve special attention because they highlight what is different from what a family physician would consider to constitute "normal care" for the general population. MAIN MESSAGE: Additional factors across the phases of clinical encounters with patients with IDD include the need for the following: an initial assessment that identifies genetic or neurologic conditions to guide anticipatory care and isolates unique barriers to health promotion and chronic disease management; adaptations to history taking, particularly for patients who are unable to describe symptoms owing to cognitive and communication deficits; overcoming challenges to performing physical examinations and certain investigations; addressing uncertainty in the formulation of hypotheses to establish an appropriate diagnosis; and involvement of resources of the developmental services sector to provide a management plan as well as an adapted empathetic approach in order to integrate the patient's illness experience. CONCLUSION: Although each patient with IDD is unique, and care of patients with IDD requires knowledge of certain conditions, these considerations are readily identifiable, and family physicians as expert generalists are well equipped to provide excellent care to patients with IDD.
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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 | 0.009 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".