Impact du sentiment de dépendance aux benzodiazépines sur l’utilisation des services de santé : Étude sur la santé des aînés
Bibliographic record
Abstract
BACKGROUND: The use of benzodiazepines is common among seniors. This consumption can cause an addiction whose criteria in the Diagnostic and Statistical Manual of Mental Disorders, 4th edition revised (DSM-IV-TR) do not always apply to the situation of the elderly. This research seeks to examine the link between the feeling of benzodiazepine dependence and the use of health services by seniors. A secondary objective is to describe the use of benzodiazepines among seniors living in the community. METHOD: Data derive from a survey conducted in Quebec in 2005-2006 from a representative sample of 707 Francophones aged 65 and over living in the community. The feeling of benzodiazepine dependence was measured by a composite variable incorporating two questions inspired by the DSM-IV-TR. The use of health services was measured through the cumulative impact of consultation with health care professionals during a 12- month period. RESULTS: Older adults consumed a total of 745 benzodiazepines, including 117 (16.5%) which had a half-long life. The proportion of seniors who reported a feeling of dependence on benzodiazepines was estimated at 35.1 %. These seniors did not significantly make further use of health services for their addiction to benzodiazepines. CONCLUSION: The results of this study suggest that the use of benzodiazepines among seniors in Quebec is far from optimal. Moreover, the perceived need in addiction is not a significant factor in inducing seniors to use health services for the management of addiction. There is, therefore, a need for research to better understand the barriers associated with the use of health services by seniors addicted to benzodiazepines.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".