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Enregistrement W144540516 · doi:10.14264/177147

Geographical differences, national and international, in the utilization of the benzodiazepine and antidepressant groups of medicines

2008· dissertation· en· W144540516 sur OpenAlexaboutno aff
Alesha Smith

Notice bibliographique

RevueThe University of Queensland · 2008
Typedissertation
Langueen
DomainePsychology
ThématiqueMental Health Treatment and Access
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedical prescriptionMedicineBenzodiazepinePsychological interventionHeroinMental healthDefined daily dosePsychiatryAntidepressantDepression (economics)Nova scotiaPharmaceutical Benefits SchemeDrugAnxietyPharmacologyGeography

Résumé

récupéré en direct d'OpenAlex

Mental health disorders such as depression and insomnia are prevalent in the community; the use of antidepressants and benzodiazepines is therefore common. However if these medications are not prescribed and used appropriately issues relating to safety and/or efficacy can occur. There is also some concern about the misuse of benzodiazepines by the injecting drug user (IDU) community. The overall aim of this PhD was to perform international utilization comparison studies and analyze national prescribing data to understand and describe factors influencing the use of prescription medicines, in particular antidepressants and benzodiazepines, and to develop some ideas and initiatives to improve future use. Comparisons in the prescribing of benzodiazepines and antidepressants between Nova Scotia, Canada and Australia were undertaken. Dispensing data for all publicly subsidized benzodiazepines and related compounds and antidepressant classes of medications and utilization was compared from 2000-2003, using the World Health Organisation ATC/ DDD system. Australian dispensing data were also used to examine changes in the utilization of antidepressants and benzodiazepines between different age groups within Australia from 2003-2006. Dispensing data and numerical data derived from reports from Australia’s Illicit Drug Reporting System (IDRS) were used to estimate benzodiazepine use by those who inject heroin, in areas with high proportion of persons who inject heroin in Sydney, Melbourne and Brisbane. To determine a strategy aimed at improving the use of benzodiazepines, the literature was searched and the latest interventions, solely focusing on increasing appropriate prescribing and reducing long term use of benzodiazepines worldwide were retrieved and analyzed. The comparison studies showed the use of benzodiazepines increased at a steady but comparable rate in both Australia and Nova Scotia, although overall use was much higher in Nova Scotia than Australia (123 and 48 DDD/1000 beneficiaries/day, respectively). However, the use of antidepressants in Nova Scotia increased at a higher rate than Australia. The variations between the two jurisdictions may be due to the more limited range of benzodiazepines available in Australia, or perhaps different initiatives to control. The differences may also be due to increased exposure to marketing, promotion, education or different prescribing practices in Nova Scotia compared to Australia. From 2003 to 2006, the use of antidepressants increased with age, with those over 65 years having the greatest use (86.9 and 97.7DDD/1000 population/day, respectively). Differences were also seen in the antidepressant most utilized, with the elderly using more tricyclic antidepressants than those who were younger. The utilization of benzodiazepines decreased from 2003-2006 in the same population (66.6 and 61 DDD/1000 concession beneficiaries/day, respectively). However, those over 85 had the highest use of benzodiazepines and used more long acting benzodiazepines than those aged 35-44. This demonstrates that the elderly still account for most use per capita of benzodiazepines. Some of this use may be inappropriate (e.g. use of long-acting benzodiazepines) and hence may provide a useful target for future educational intervention. The elderly also account for the largest per capita use of antidepressants. In areas with a high proportion of heroin IDU, the utilization of benzodiazepines by the estimated IDU population decreased (4064048DDDs in 2000 to 2613100 DDDs in 2006) however the overall use of benzodiazepines in Australia continued to increase from 2000-2006. This demonstrates that the increase in benzodiazepine utilization during this period was not primarily driven by use among IDU. The review identified three main target audiences at which interventions for improving the use of benzodiazepines were aimed at. These were consumers, General Practitioners or long term care facilities. Education, audit and feedback and alerts were the 3 major intervention approaches taken in the studies. The review concluded that studies which used a multi-factorial approach had the largest and most sustained reductions in benzodiazepines use. It appears that support groups for patients, non-voluntary recruitment of GPs, and oral delivery of alerts or feedback may all improve the outcomes of interventions. Using the review findings, an intervention targeting consumers and health professionals was conducted in a rural and urban area of Australia, using informative emails, bookmarks and website over a 6 month period. The intervention showed a significant decrease in the long term use of benzodiazepines within nursing homes located in the intervention geographical areas compared to the control areas. In conclusion the utilization studies revealed the current trends in utilization of antidepressants and benzodiazepines for Australia and led to the development of an intervention, based on factors that were found to influence prescribing of benzodiazepines. The intervention aimed at various target audiences did produce a small improvement in the prescribing of benzodiazepines.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,229

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,045
Tête enseignante GPT0,322
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2008
Routes d'admission1
Résumé présentoui

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Même revueThe University of QueenslandMême sujetMental Health Treatment and AccessTravaux en français237 207