ADHD documentation for students requesting accommodations at the postsecondary level: Update on standards and diagnostic concerns.
Bibliographic record
Abstract
OBJECTIVE: To update primary health care providers on the guidelines and standards for documentation of attention deficit hyperactivity disorder (ADHD) at the postsecondary level. QUALITY OF EVIDENCE: We synthesized information from consultations with other experts at postsecondary disability offices and from relevant research in this area (specifically, PsycLIT, PsychINFO, and MEDLINE databases were searched for systematic reviews and meta-analyses from January 1990 to June 2009). Most evidence included was level III. MAIN MESSAGE: Symptoms of ADHD can occur for many reasons, and primary health care providers need to be cautious when making this diagnosis in young adults. Diagnosis alone is not sufficient to guarantee academic accommodations. Documentation of a disability presented to postsecondary-level service providers must address all aspects of the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, criteria for diagnosis of ADHD, and must also clearly demonstrate how recommended academic accommodations were objectively determined. CONCLUSION: Students with ADHD require comprehensive documentation of their disabilities to obtain accommodations at the postsecondary level. Implementing the guidelines proposed here would improve access to appropriate services and supports for young adults with ADHD, reduce the risk of misdiagnosis of other psychological causes, and minimize the opportunity for students to obtain stimulant medications for illicit use.
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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 | 0.071 | 0.244 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".