Evidence map›Paper›PMID 36531337›Full record

ArticleJournal of substance use2020

Feasibility of a Citizen-driven Hackathon to Increase Public Engagement and Solutions to Address the Opioid Crisis.

Stephanie Soliz, Sean D Young

Abstract read
In one paragraph

Article in Journal of substance use, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Stephanie SolizUniversity of California Institute for Prediction Technology, Department of Family Medicine, UCLA, Los Angeles, CA, USA.
Sean D YoungUniversity of California Institute for Prediction Technology, Department of Family Medicine, UCLA, Los Angeles, CA, USA.

Funding

Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD PatientsR33AT010606 · NCCIH · UNIVERSITY OF CALIFORNIA-IRVINE · PI YOUNG, SEAN · 2020 to 2021
$3.5M
Mining real-time social media big data to monitor HIV: Development and Ethical IssuesR01AI132030 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2017 to 2020
$3.4M
HOPE Social Media Intervention for HIV Testing and Studying Social NetworksR01MH106415 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2015 to 2019
$2.9M
Digital Device ID Targeting for Increasing Medications for Opioid Use Disorder: A Feasibility and Acceptability StudyR34DA054511 · NIDA · UNIVERSITY OF CALIFORNIA-IRVINE · PI YOUNG, SEAN · 2021 to 2023
$707k
Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD PatientsR61AT010606 · NCCIH · UNIVERSITY OF CALIFORNIA-IRVINE · PI YOUNG, SEAN · 2019 to 2019
$374k
Adapting the HOPE social media intervention to reduce prescription drug abuseR21DA039458 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2014 to 2015
$314k
NCCIH NIH HHS R33 AT010606NCCIH NIH HHS R61 AT010606NIAID NIH HHS R01 AI132030NIDA NIH HHS R21 DA039458NIDA NIH HHS R34 DA054511NIMH NIH HHS R01 MH106415
6 · The paper itself

Abstract

Background: Interdisciplinary approaches are needed to address complex societal problems, such as the opioid crisis. We sought to explore the feasibility and potential issues encountered in planning and implementing a 24-hour hackathon competition to bring together teams from law enforcement, public health, and data science to develop solutions to the opioid epidemic. Methods: We enlisted an advisory board and planning committee, including key stakeholders (e.g., high-level representatives from government agencies) to plan the event. Teams completed an online registration form with questions about team composition. Each team captain completed a survey at the event describing prior experiences with their team, knowledge and interest around the opioid epidemic, and hackathon expectations. Results: Twenty-nine teams (108 individuals) registered. 76% had a technical/engineering background. Participants were from industry (55%), academia (30%), public health/medicine (9%), and government/public policy (6%). Nineteen teams attended the event. Team captains were primarily 18-29 years of age, had moderate experience and interest in the opioid crisis, and had never attended an opioid-related event. Conclusions: It is feasible to implement a 24-hour opioid-focused hackathon and recruit teams/participants from a broad range of disciplines. We discuss the solutions developed, barriers encountered, and insights gained throughout the planning and implementation process.

Indexed as

hackathonsinterdisciplinaryopioidstechnology

Identifiers

PMID36531337
PMCPMC9757730

What OpenQuestion holds

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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.