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dc.contributor.authorTay Wee Teck, Joseph
dc.contributor.authorOteo Perez, Alberto
dc.contributor.authorBaldacchino, Alexander Mario
dc.date.accessioned2023-04-26T11:30:20Z
dc.date.available2023-04-26T11:30:20Z
dc.date.issued2023-07-01
dc.identifier284012746
dc.identifier4e432bd7-9072-4336-8261-5147426cf30f
dc.identifier85162076132
dc.identifier.citationTay Wee Teck , J , Oteo Perez , A & Baldacchino , A M 2023 , ' Rapid opioid overdose response system technologies ' , Current Opinion in Psychiatry , vol. 36 , no. 4 , pp. 308-315 . https://doi.org/10.1097/YCO.0000000000000870en
dc.identifier.issn0951-7367
dc.identifier.urihttps://hdl.handle.net/10023/27469
dc.description.abstractPurpose of review   Opioid overdose events are a time sensitive medical emergency, which is often reversible with naloxone administration if detected in time. Many countries are facing rising opioid overdose deaths and have been implementing rapid opioid overdose response Systems (ROORS). We describe how technology is increasingly being used in ROORS design, implementation and delivery. Recent findings  Technology can contribute in significant ways to ROORS design, implementation, and delivery. Artificial intelligence-based modelling and simulations alongside wastewater-based epidemiology can be used to inform policy decisions around naloxone access laws and effective naloxone distribution strategies. Data linkage and machine learning projects can support service delivery organizations to mobilize and distribute community resources in support of ROORS. Digital phenotyping is an advancement in data linkage and machine learning projects, potentially leading to precision overdose responses. At the coalface, opioid overdose detection devices through fixed location or wearable sensors, improved connectivity, smartphone applications and drone-based emergency naloxone delivery all have a role in improving outcomes from opioid overdose. Data driven technologies also have an important role in empowering community responses to opioid overdose. Summary   This review highlights the importance of technology applied to every aspect of ROORS. Key areas of development include the need to protect marginalized groups from algorithmic bias, a better understanding of individual overdose trajectories and new reversal agents and improved drug delivery methods.
dc.format.extent8
dc.format.extent855024
dc.language.isoeng
dc.relation.ispartofCurrent Opinion in Psychiatryen
dc.subjectTechnologyen
dc.subjectOpioid overdoseen
dc.subjectNaloxoneen
dc.subjectArtificial Intelligenceen
dc.subjectBig data analyticsen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectT-NDASen
dc.subjectMCCen
dc.subject.lccRA0421en
dc.titleRapid opioid overdose response system technologiesen
dc.typeJournal itemen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Centre for Minorities Research (CMR)en
dc.identifier.doi10.1097/YCO.0000000000000870
dc.description.statusPeer revieweden
dc.date.embargoedUntil2023-04-26


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