Evidence map›Paper›PMID 38466977›Full record

ArticleJMIR formative research2024

Architecture and Development Framework for a Web-Based Risk Assessment and Management Platform Developed on WordPress to Address Opioid Overdose.

Alireza Kazemi, Marisha Boyd, Fiona Choi, Andy Man Yeung Tai, Vivian Wl Tsang, Tam To, Jane Kim, Kerry Jang, Farhud Shams, Stefanie Schreiter and 2 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Alireza KazemiInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-8238-7461
Marisha BoydInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0009-0004-3190-742X
Fiona ChoiInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-7626-8669
Andy Man Yeung TaiInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-5262-8615
Vivian Wl TsangInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-9401-008X
Tam ToInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0009-0001-0193-4409
Jane KimInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0009-0006-7473-1617
Kerry JangInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-0977-5377
Farhud ShamsInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0001-8720-3748
Stefanie SchreiterDepartment of Psychiatry and Neurosciences, Charité Campus Mitte, Institution: Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-9598-0029
Maurice CabanisHospital for Addiction and Addictive Behavior, Center of Mental Health, Klinikum Stuttgart, Esttutgarth, Germany.ORCID https://orcid.org/0000-0002-2808-9065
Reinhard Michael KrauszInstitute of Mental Health, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-3509-7274
University of British Columbia · CAHumboldt-Universität zu Berlin · DEKlinikum Stuttgart · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of overdose-related fatalities continues to reach historic levels across Canada, despite ongoing efforts by authorities. To reduce mortality, a clinical trajectory ranging from preventative measures to crisis intervention, skill training to treatment, and risk assessment to risk management needs to be supported. The web-based Risk Assessment and Management Platform (RAMP) was developed to realize this concept and to empower people who use drugs through an integrated tool that allows them to better understand and manage their risk of overdose. This paper outlines the architecture and development of RAMP, which is built on the WordPress platform. WordPress components are mapped onto a 3-tier architecture that consists of presentation, application, and database layers. The architecture facilitates the development of a modular software that includes several features that are independent in functionality but interact with each other in an integrated platform. The relatively low coupling and high coherence of the features may reduce the cost of maintenance and increase flexibility of future developments. RAMP's architecture comprises a user interface, conceptual framework, and backend layers. The RAMP front end effectively uses some of the WordPress' features such as HTML5, CSS, and JavaScript to create a mobile, friendly, and scalable user interface. The RAMP backend uses several standard and custom WordPress plug-ins to support risk assessment and monitoring, with the goal of mitigating the impacts and eliminating risks together. A rule-based decision support system has been hard-coded to suggest relevant modules and goals to complement each user's lifestyle and goals based on their risk assessment. Finally, the backend uses the MySQL database management system and communicates with the RAMP framework layer via the data access layer to facilitate a timely and secure handling of information. Overall, RAMP is a modular system developed to identify and manage the risk of opioid overdose in the population of people who use drugs. Its modular design uses the WordPress architecture to efficiently communicate between layers and provide a base for external plug-ins. There is potential for the current system to adopt and address other related fields such as suicide, anxiety, and trauma. Broader implementation will support this concept and lead to the next level of functionality.

Indexed as

crisis interventionopioid overdoserisk assessmentsrisks managementsoftware designssubstance related disorders

Identifiers

PMID38466977
PMCPMC10964145
OpenAlexW4392642691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.