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Enregistrement W2885793099 · doi:10.5210/ojphi.v10i1.8838

Enhanced surveillance to monitor response to a provincial overdose emergency, Canada

2018· article· en· W2885793099 sur OpenAlexafffundabout
Sara Forsting, Geoff Ramler, Shannon Riley, Miranda Compton, Mark Lysyshyn, Patricia Daly

Notice bibliographique

RevueOnline Journal of Public Health Informatics · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensUniversity of British ColumbiaVancouver Coastal Health
Organismes subventionnairesProvincial Health Services Authority
Mots-clésHarm reductionMedicineMedical emergencyPublic healthDrug overdoseIntervention (counseling)Opioid overdosePublic health surveillanceEnvironmental healthPoison controlNursing(+)-Naloxone

Résumé

récupéré en direct d'OpenAlex

ObjectiveTo describe the use of multiple data sources to monitor overdoses in near real-time in order to evaluate response to the provincial overdose emergencyIntroductionOn April 14, 2016, British Columbia (BC)’s Provincial Health Officer declared a public health emergency due to a significant increase in drug-related overdoses and deaths in the Province. Despite the declaration, 161 suspected drug overdose deaths were reported across the Province in December 2016, a 137% increase over the number of deaths occurring in the same month of 2015 [1]. In response to the surge overdoses, Vancouver Coastal Health Authority (VCH), one of 5 health regions within BC, rapidly implemented a number of novel harm reduction initiatives. Overdose Prevention Sites (OPS) were opened on December 8, 2016. At these sites, people using illicit drugs are supervised by peers who can provide rapid intervention if an overdose occurs. The Mobile Medical Unit (MMU), a temporary state-of-art medical facility, was deployed on December 13, 2016 to reduce the congestion for the BC Ambulance Service (BCAS) and a major urban emergency department (ED) [2]. Following deployment of the MMU, services were transitioned to a permanent program at the Downtown Eastside Connections Clinic (DTES Connections) in the spring of 2017. DTES Connections was created to provide rapid access to addiction treatment [3]. In order to keep pace with the rapidly increasing number of novel harm reduction initiatives, enhanced surveillance programs were implemented at VCH to monitor and evaluate these innovative harm reduction activities, including development of new surveillance programs for the MMU, OPS and DTES Connections, along with existing routine surveillance system from EDs and a Supervised Injection Site (Insite).MethodsSince 2011, after a spike of heroin-related deaths was reported in the Vancouver region, VCH started weekly monitoring of overdoses at nine EDs and Insite. Daily data extracts from EDs are automatically transferred to a secure driver by secure file transfer protocols. Groups of ICD 9/10 codes and keywords were refined to identify overdoses from EDs. A formal epidemiological evaluation was conducted to measure the algorithm’s accuracy in 2013. A live connection with Insite database was set up in 2011. Overdose events at Insite are clinically determined by clinical staff. Substance injected, characteristics of overdose event and emergency interventions are entered in the database.With the implementation of MMU, OPS and DTES Connections, a series of protocols were developed to monitor visitors' information and overdose events from each site. Demographic information, visit information, clinical presentations and substance used are collected from MMU and DTES Connections. A subset of data fields, including client handle, visit information, substance involved, overdose occurrence, naloxone intervention and ED transfer, are collected from OPS to minimize impact on peers and community partners who run the sites.ResultsBetween November 2016 and January 2017, a sharp increase in overdoses was identified from EDs and Insite. Opioids, especially fentanyl and analogs, most likely contributed to the sudden increase. Weeks with government income assistance payment showed an even greater increase in overdoses.Since December 2016, six OPS opened in Vancouver. Four of them are still operating and one received federal approval to become a supervised consumption site. By September 2017, there were 184,760 visits to the OPS. 1,017 overdoses were reversed.A total of 2,798 patients visited the MMU during the whole operation period. 589 (21%) presented from treatment of overdose. The highest number of overdose visits occurred on December 21, 2016 after that month’s income assistance payment. Since then, the number of visits fluctuated with most visits driven by non-overdose related reasons. 89% of overdose visits arrived by BCAS and 79% of overdoses needed emergent and urgent care.108 patients were transferred to DTES Connections by BCAS for treatment of overdoses by September 2017. All patients presented with opioid addiction issues.As of the end of September 2017, no deaths were reported from OPS, MMU and DTES Connections since operations.ConclusionsAs VCH continues responding to the drug overdose emergency in face of increasing drug overdoses, enhanced surveillance data have been widely used by the VCH Emergency Overdose Response Committee for decision making on harm reduction activities, such as expanding operation hours at OPS and Insite on income assistance payment days; examining the impact on EDs of opening the MMU; encouraging users to avoid using alone; opening new supervised injection service and women’s only OPS; and referring ED patients with non-fatal overdose to rapid access opioid agonist treatment and outreach follow-up.

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)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,425
Score d'incertitude au seuil0,992

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
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 Opus0,028
Tête enseignante GPT0,348
Écart entre enseignants0,320 · 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'étudeSans objet
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

Citations1
Publié2018
Routes d'admission3
Résumé présentoui

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