Conference paper
Designing an Emergency Response Community for Opioid Overdoses in Philadelphia
CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, v 2018
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Fatal overdoses are a common symptom of the opioid epidemic which has been devastating communities throughout the United States for decades. Philadelphia has been particularly impacted, with a drug overdose death rate of 46.8 per 100,000 individuals, far surpassing other large cities' rates. Despite city and community efforts, this rate continues to increase, indicating the need for new, more effective approaches aimed at mitigating and combating this issue. Through a human-centered design process, we investigated motivators and barriers to participation in a smartphone-based system that mobilizes community members to administer emergency care for individuals experiencing an overdose. We discuss evidence of the system's feasibility, and how it would benefit from integration with existing community-based efforts.
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5 citations in Scopus
Details
- Title
- Designing an Emergency Response Community for Opioid Overdoses in Philadelphia
- Creators
- Roy Aizen - Drexel UniversityGabriela Marcu - Drexel UniversityAnjali Misra - Drexel UniversityGregory Sieber - Drexel UniversityDavid Schwartz - Bar-Ilan UniversityAlexis Roth - Drexel UniversityStephen Lankenau - Drexel University
- Publication Details
- CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, v 2018
- Conference
- CHI '18: 2018 CHI Conference on Human Factors in Computing Systems (Montreal, Canada, 21 Apr 2018–26 Apr 2018)
- Publisher
- Assoc Computing Machinery
- Number of pages
- 6
- Grant note
- 1R34DA044758-01 / NIDA; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Drug Abuse (NIDA)
- Resource Type
- Conference paper
- Language
- English
- Academic Unit
- Cinema and Television; Community Health and Prevention
- Web of Science ID
- WOS:000671090001035
- Scopus ID
- 2-s2.0-85052019050
- Other Identifier
- 991019168183804721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Cybernetics