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Enregistrement W1486616284 · doi:10.1111/j.1360-0443.2010.03027.x

Commentary on Pinkerton (2010): Drug consumption rooms—time to accept their worth

2010· letter· en· W1486616284 sur OpenAlexaboutno aff
Charlie Lloyd, Christine Godfrey

Notice bibliographique

RevueAddiction · 2010
Typeletter
Langueen
DomaineMedicine
ThématiqueHIV, Drug Use, Sexual Risk
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVariety (cybernetics)Consumption (sociology)BusinessMedicineHealth carePublic relationsEnvironmental healthMedical emergencyAdvertisingPolitical scienceEconomic growthSociologyComputer scienceEconomics

Résumé

récupéré en direct d'OpenAlex

The idea of providing supervised, hygienic rooms for the consumption of illicit drugs has proved highly contentious. To many, it appears to condone, encourage or at least take a laissez faire approach to injecting drug use. For others, it is an approach that keeps some of the most marginalized and damaged people in society alive. Can economic analyses help in these debates? While much of the recent focus has been upon the well-resourced, medically orientated facilities set up first in Sydney, Australia (the Medically Supervised Injecting Centre, MSIC) and then in Vancouver, Canada (the Insite project), there is great variety in the aims, design and operation of these facilities around the world 1. Such variety carries implications for cost–benefit analyses. The evidence base on the effectiveness of Drug Consumption Rooms (DCRs) has been growing rapidly. There is evidence that DCRs are effective in providing medical care and referring users to treatment, other health and social services and reducing the transmission of blood-borne viruses, public injecting and associated litter; ambulance and police call-outs to overdose incidents and drug-related deaths (e.g. 2, 3). Economic evaluations can be used to put a value on these diverse benefits and, by combining these with costs for situations with and without such facilities, can provide evidence on the cost-effectiveness of DCRs. Prior to this year, we were aware of only two such evaluations 4, 5. However, two further evaluations have been published this year 6, 7, both focusing upon the Insite facility in Vancouver. Indeed, three of the four published evaluations have been of Insite and all three have concluded that the project is saving society more money than it costs society. The perceived need for further economic evidence may reflect the threatening political climate that has surrounded the project since its inception. Pinkerton's evaluation focuses solely upon the project's impact on preventing human immunodeficiency virus (HIV) infections through needle and syringe exchange. Insite provides sterile injecting equipment to each user injecting within the facility but it also operates as a large needle and syringe exchange project, providing clean syringes for users to take away with them. As the number of safe injections occurring within the project is dwarfed by the number of sterile syringes distributed through the exchange, the evaluation effectively sets the benefits of this exchange function against the whole cost of the project. The annual figure of 83.5 prevented HIV infections and the medical savings from preventing these cases (Can$17.6 million) was compared to the annual cost of the project (Can$3 million) and the savings of Can$14.6 million resulted. Sensitivity analyses were then conducted, where the ranges of the parameters were manipulated and the impact on the cost–benefit analysis explored. The savings proved to be largely robust, although quite sensitive to the rate of borrowing syringes. One assumption that was not varied in this analysis was that, of those who have injected with a borrowed syringe in the past 6 months, 30% of their injections will have been with borrowed syringes. The Health Canada survey 8 showed that of the 48 users in Victoria who had shared a used needle/syringe over the previous 6 months, 34 had done so only occasionally or once. This parameter is varied in Andresen & Boyd's study [7] on Insite's ability to prevent both HIV infections and deaths, from HIV and from overdoses. They include an interesting discussion of the rationale for including the value of preventing the premature deaths of drug users, pointing out that, from the viewpoint of cold economic rationalism, preventing the death of a drug user might constitute an increased price to society (in terms of future crime and health costs). However, from a moral standpoint there is clearly ‘worth’ (indeed, many would argue, an imperative) to prevent avoidable deaths—thus, to the extent that a DCR prevents deaths, an economic model should recognize the social benefit of this aspect of its work. In addition to differences already noted, the two studies adopted different estimates of the project costs and the life-time savings associated with preventing an HIV infection. These variations demonstrate the range of decisions that have to be made in evaluating the costs and benefits associated with such a complex project as a DCR. These evaluations have not attempted to include the full range of outcomes outlined above, such as reduced ambulance and police call-outs to overdose events. Such detailed evaluation is clearly required to calculate the full savings associated with DCRs, but are likely to be more important for studies where the aim is to compare the cost-effectiveness of different models of DCRs, which may not only have very different costs but also focus upon achieving different outcomes. Given the positive findings from all four evaluations, all of which employed a partial analysis of the benefits, the evidence is strong that, however calculated, DCRs such as Insite deliver net savings to society. This finding should trump the social and political fears that continue to stymie the development and survival of DCRs around the world. None.

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 candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0020,006
Charge utile insuffisante (le modèle a refusé de juger)0,0090,015

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 Opus0,030
Tête enseignante GPT0,295
Écart entre enseignants0,265 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations3
Publié2010
Routes d'admission1
Résumé présentoui

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