Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

A distributed model to expand the reach of drug checking

View through CrossRef
Purpose While there is increasing interest in implementing drug checking within overdose prevention, we must also consider how to scale-up these responses so that they have significant reach and impact for people navigating the unpredictable and increasingly complex drug supplies linked to overdose. The purpose of this paper is to present a distributed model of community drug checking that addresses multiple barriers to increasing the reach of drug checking as a response to the illicit drug overdose crisis. Design/methodology/approach A detailed description of the key components of a distributed model of community drug checking is provided. This includes an integrated software platform that links a multi-instrument, multi-site service design with online service options, a foundational database that provides storage and reporting functions and a community of practice to facilitate engagement and capacity building. Findings The distributed model diminishes the need for technicians at multiple sites while still providing point-of-care results with local harm reduction engagement and access to confirmatory testing online and in localized reporting. It also reduces the need for training in the technical components of drug checking (e.g. interpreting spectra) for harm reduction workers. Moreover, its real-time reporting capability keeps communities informed about the crisis. Sites are additionally supported by a community of practice. Originality/value This paper presents innovations in drug checking technologies and service design that attempt to overcome current financial and technical barriers towards scaling-up services to a more equitable and impactful level and effectively linking multiple urban and rural communities to report concentration levels for substances most linked to overdose.
Title: A distributed model to expand the reach of drug checking
Description:
Purpose While there is increasing interest in implementing drug checking within overdose prevention, we must also consider how to scale-up these responses so that they have significant reach and impact for people navigating the unpredictable and increasingly complex drug supplies linked to overdose.
The purpose of this paper is to present a distributed model of community drug checking that addresses multiple barriers to increasing the reach of drug checking as a response to the illicit drug overdose crisis.
Design/methodology/approach A detailed description of the key components of a distributed model of community drug checking is provided.
This includes an integrated software platform that links a multi-instrument, multi-site service design with online service options, a foundational database that provides storage and reporting functions and a community of practice to facilitate engagement and capacity building.
Findings The distributed model diminishes the need for technicians at multiple sites while still providing point-of-care results with local harm reduction engagement and access to confirmatory testing online and in localized reporting.
It also reduces the need for training in the technical components of drug checking (e.
g.
interpreting spectra) for harm reduction workers.
Moreover, its real-time reporting capability keeps communities informed about the crisis.
Sites are additionally supported by a community of practice.
Originality/value This paper presents innovations in drug checking technologies and service design that attempt to overcome current financial and technical barriers towards scaling-up services to a more equitable and impactful level and effectively linking multiple urban and rural communities to report concentration levels for substances most linked to overdose.

Related Results

Selection of Injectable Drug Product Composition using Machine Learning Models (Preprint)
Selection of Injectable Drug Product Composition using Machine Learning Models (Preprint)
BACKGROUND As of July 2020, a Web of Science search of “machine learning (ML)” nested within the search of “pharmacokinetics or pharmacodynamics” yielded over 100...
Model-checking ecological state-transition graphs
Model-checking ecological state-transition graphs
Abstract Model-checking is a methodology developed in computer science to automatically assess the dynamics of discrete systems, by checking if a system modelled as...
Evolution of a course on model checking for practical applications
Evolution of a course on model checking for practical applications
Although model checking is expected as a practical formal verification approach for its automatic nature, it still suffers from difficulties in writing the formal descriptions to b...
Clock monitoring is associated with age-related decline in time-based prospective memory
Clock monitoring is associated with age-related decline in time-based prospective memory
AbstractIn laboratory time-based prospective memory tasks, older adults typically perform worse than younger adults do. It has been suggested that less frequent clock checking due ...
A Layered and Parallelized Method of Eventual Model Checking
A Layered and Parallelized Method of Eventual Model Checking
Termination or halting is an important system requirement that many systems should satisfy and can be expressed in linear temporal logic as eventual properties. We devised a divide...

Back to Top