Management of Sleep Disorders in Community‐Dwelling Older Women and Men at the Time of Diagnosis
Bibliographic record
Abstract
OBJECTIVES: Sedative and hypnotic medications are associated with harm, and guidelines suggest limiting their use. Only limited evidence has described how older adults are managed following an initial sleep disorder diagnosis. We aimed to describe clinical management patterns of sleep disorders in older women and men at the time of initial diagnosis. DESIGN: Population-based retrospective cohort study using linked administrative databases. SETTING: Ontario, Canada. PARTICIPANTS: Community-dwelling adults aged 66 and older, diagnosed with a new sleep disorder by a primary care provider (n = 30 729; 56% women and 44% men). We compared women and men for each outcome. MEASUREMENTS: The primary outcome was prescription of a medication used for sleep within 30 days of a new sleep disorder diagnosis. Additional analysis included medical investigations such as sleep studies and visits to specialists who manage obstructive sleep disorders within 90 days of diagnosis. RESULTS: Among the 30 729 older adults with a new sleep disorder diagnosis, 5512 (17.9% total; 18.8% of women and 16.9% of men) were prescribed a medication used for sleep. Compared with men, women were somewhat more likely to be prescribed at least one sedative medication (adjusted odds ratio = 1.09; 95% confidence interval = 1.03-1.16). A total of 2573 (8.4%) older adults underwent a sleep study, and 3743 (12.2%) were evaluated by a specialist; both occurred more commonly in men. CONCLUSION: In our cohort, almost 1 in 5 older adults with a new sleep disorder diagnosis were prescribed a medication used for sleep; of these, a higher proportion were women. Comparatively few older adults were further evaluated; of these, a higher proportion were men. Our study highlights the high rates at which medications are prescribed to older adults with a new sleep disorder diagnosis and identifies potential sex differences in the management of such diagnoses. J Am Geriatr Soc 1-8, 2019. J Am Geriatr Soc 67:2094-2101, 2019.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".