دورية أكاديمية
Bystanders Saving Lives with Naloxone: A Scoping Review on Methods to Estimate Overdose Reversals
| العنوان: | Bystanders Saving Lives with Naloxone: A Scoping Review on Methods to Estimate Overdose Reversals |
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| المؤلفون: | Andrew T. Kinoshita, Soheil Saadat, Bharath Chakravarthy |
| المصدر: | Western Journal of Emergency Medicine, Vol 25, Iss 4, Pp 500-506 (2024) |
| بيانات النشر: | eScholarship Publishing, University of California, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Medicine LCC:Medical emergencies. Critical care. Intensive care. First aid |
| مصطلحات موضوعية: | Medicine, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9 |
| الوصف: | Introduction: People who use drugs in community settings are at risk of a fatal overdose, which can be mitigated by naloxone administered via bystanders. In this study we sought to investigate methods of estimating and tracking opioid overdose reversals by community members with take-home naloxone (THN) to coalesce possible ways of characterizing THN reach with a metric that is useful for guiding both distribution of naloxone and advocacy of its benefits. Methods: We conducted a scoping review of published literature on PubMed on August 15, 2022, using PRISMA-ScR protocol, for articles discussing methods to estimate THN reversals in the community. The following search terms were used: naloxone AND (“take home” OR kit OR “community distribution” OR “naloxone distribution”). We used backwards citation searching to potentially find additional studies. Overdose education and naloxone distribution program-based studies that analyzed only single programs were excluded. Results: The database search captured 614 studies, of which 14 studies were relevant. Backwards citation searching of 765 references did not reveal additional relevant studies. Of the 14 relevant studies, 11 were mathematical models. Ten used Markov models, and one used a system dynamics model. Of the remaining three articles, one was a meta-analysis, and two used spatial analysis. Studies ranged in year of publication from 2013–2022 with mathematical modeling increasing in use over time. Only spatial analysis was used with a focus on characterizing local naloxone use at the level of a specific city. Conclusion: Of existing methods to estimate bystander administration of THN, mathematical models are most common, particularly Markov models. System dynamics modeling, meta-analysis, and spatial analysis have also been used. All methods are heavily dependent upon overdose education and naloxone distribution program data published in the literature or available as ongoing surveillance data. Overall, there is a paucity of literature describing methods of estimation and even fewer with methods applied to a local focus that would allow for more targeted distribution of naloxone. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1936-900X 1936-9018 |
| Relation: | https://escholarship.org/uc/item/2699m3wn; https://doaj.org/toc/1936-900X; https://doaj.org/toc/1936-9018 |
| DOI: | 10.5811/westjem.18037 |
| URL الوصول: | https://doaj.org/article/408a9a5bbc9441689e0f478f641ef787 |
| رقم الأكسشن: | edsdoj.408a9a5bbc9441689e0f478f641ef787 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 1936900X 19369018 |
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| DOI: | 10.5811/westjem.18037 |