Alberta Healthcare Professionals’ Perceptions of Prescription Drug Misuse
Bibliographic record
Abstract
Background: The harms associated with the use of psychoactive prescription drugs are a serious public health problem. Healthcare professionals play an important part in addressing this problem; however, there is limited research examining their role in identifying and preventing prescription drug misuse (PDM). Methods: The perceptions of 1,063 Canadian healthcare professionals (HCPs) (physicians, registered nurses and nurse practitioners, pharmacists, and dentists) regarding PDM were collected using an anonymous online survey. Results: Findings revealed that only 27.7% of HCPs felt adequately supported in addressing PDM. HCPs did not feel overly effective in preventing or addressing PDM; they indicated several barriers such as inadequate knowledge and training, as well as those related to communication issues with fellow HCPs. Interpretation: This study supports the need to increase the capacity of HCPs to identify and address PDM among patients. This could be accomplished through clearer protocols and training on the clinical signs of PDM, as well as strategies aimed at facilitating better communication among healthcare providers. By limiting some of the existing barriers, HCPs will be better prepared to address this public health crisis. Contexte: Les méfaits associés à l'utilisation de substances psychoactives disponibles sous prescription sont un problème sérieux de santé publique. Les professionnels de la santé ont un rôle important à jouer pour faire face à ce problème, mais peu d’études se sont penchées sur leur rôle dans l'identification et la prévention de l'abus de médicaments prescrits (AMP). Méthodes: La perception de 1 063 professionnels canadiens de la santé (PS) (médecins, infirmières, infirmières cliniciennes, pharmaciens et dentistes) a été recueilli au sujet de l'AMP à l'aide d'un sondage anonyme en ligne. Résultats: Les données révèlent que seulement 27,7% des PS se sentent adéquatement supportés pour aborder l'AMP. Les PS ne se sont pas sentis trop efficaces à prévenir et à faire face à l'AMP; ils ont rapporté plusieurs obstacles tels que les connaissances et la formation inadéquates et les obstacles reliés aux problèmes de communication avec les collègues. Interprétation: Cette étude réitère le besoin d'améliorer les capacités des PS à identifier et faire face à l'AMP parmi leurs patients. Ceci pourrait être atteint avec des protocoles plus clairs et des formations sur les signes cliniques de l'AMP, ainsi qu'avec des stratégies visant à faciliter de meilleures communications entre les PS. En minimisant quelques-unes des barrières existantes, les PS seront mieux outillés pour s'attaquer à cette crise de santé publique.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".