Insights into patient characteristics and documentation of the use of sedative-hypnotic/anxiolytics in primary care: a retrospective chart review study
Notice bibliographique
Résumé
BACKGROUND: Despite the known safety risks of long-term use of sedative-hypnotic/anxiolytic medications, there has been limited guidance for the safe and effective use of their chronic use in a primary care clinic setting. Understanding the characteristics of patients who receive sedative-hypnotic/anxiolytic medication and the clinical documentation process in primary care is the first step towards understanding the nature of the problem and will help inform future strategies for clinical research and practice. OBJECTIVES: Characterize patients who received a sedative-hypnotic/anxiolytic prescription in primary care, and (2) gain an understanding of the clinical documentation of sedative-hypnotic/anxiolytic indication and monitoring in electronic medical records (EMR). METHODS: A random selection of patients who received a prescription for a benzodiazepine or Z-drug hypnotic between January 2014 and August 2016 from four primary care clinics in Winnipeg were included. Data was collected retrospectively using the EMR (Accuro®). Patient variables recorded included sex, age, comorbidities, medications, smoking status, and alcohol status. Treatment variables included drug type, indication, pattern of use, dose, adverse events, psychosocial intervention, tapering attempts, social support, life stressor, and monitoring parameters for sedative-hypnotic use. Demographic and clinical characteristics were described using descriptive statistics. RESULTS: Records from a sample of 200 primary care patients prescribed sedative-hypnotic/anxiolytics were analyzed (mean age 55.8 years old, 61.5% ≥ 65 years old, 61.0% female). Long-term chronic use (≥ 1 year) of a sedative-hypnotic/anxiolytic agent was observed in 29.5% of the sample. Zopiclone (30.7%) and lorazepam (28.7%) were the most common agents prescribed. Only 9.5% of patients had documentation of a past tapering attempt of their sedative-hypnotic/anxiolytic. The most common indications for sedative-hypnotic/anxiolytic use recorded were anxiety (33.0%) and sleep (18.0%), but indication was undetermined for 57.0% of patients. Depression (33.5%) and falls (18.5%) were reported by patients after the initiation of these agents. CONCLUSIONS: A higher proportion of females and users 65 years and older received a prescription for a sedative-hypnotic/anxiolytic, consistent with previous studies on sedative-hypnotic use. We found inconsistencies in the documentation surrounding sedative-hypnotic/anxiolytic use. The indication for their use was unclear in a large number of patients. These findings will help us understand the state of the problem in primary care and inform future strategies for clinical research.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».