ArticleFrontiers in public health2017
Mobile Technology to Increase HIV/HCV Testing and Overdose Prevention/Response among People Who Inject Drugs.
Article in Frontiers in public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Effectiveness of Interventions for Prevention of Common Infections Among Opioid Users: A Systematic Review of Systematic Reviews.Frontiers in public health · 2022Pooled it
- Hepatitis C Guidance 2019 Update: American Association for the Study of Liver Diseases-Infectious Diseases Society of America Recommendations for Testing, Managing, and Treating Hepatitis C Virus Infection.Hepatology (Baltimore, Md.) · 2020Guideline
- Designing and evaluating a technology-based intervention to address deep ambivalence about COVID vaccination among people who inject drugs.Health education research · 2025Trial
- A novel mHealth application for improving HIV and Hepatitis C knowledge in individuals with opioid use disorder: A pilot study.Drug and alcohol dependence · 2018Trial
- Technology-Based Interventions for Substance Use Treatment Among People Who Identify as African American or Black, Hispanic or Latino, and American Indian or Alaska Native: Scoping Review.Journal of medical Internet research · 2024Article
- Barriers to, and Facilitators of, Checking Drugs for Adulterants in the Era of Fentanyl and Xylazine: Qualitative Study.JMIR formative research · 2024Article
- Article
- Community-based substance use treatment programs for reentering justice-involved adults: A scoping review.Drug and alcohol dependence reports · 2024Article
- Efficacy of a Primary Care-Based Mobile Application to Increase Hepatitis C Screening Among Asian Americans: A Secondary Analysis of a Randomized Clinical Trial.Open forum infectious diseases · 2023Article
- Innovations in education: A prospective study of storytelling narratives to enhance hepatitis C virus knowledge among substance users.World journal of hepatology · 2022Article
- How Vaccine Ambivalence Can Lead People Who Inject Drugs to Decline COVID-19 Vaccination and Ways This Can Be Addressed: Qualitative Study.JMIR formative research · 2022Article
- Using the participatory education and research into lived experience (PEARLE) methodology to localize content and target specific populations.Frontiers in digital health · 2022Article
- Technology-Delivered Intervention Strategies to Bolster HIV Testing.Current HIV/AIDS reports · 2021Review
- Acceptability of an mHealth App That Provides Harm Reduction Services Among People Who Inject Drugs: Survey Study.Journal of medical Internet research · 2021Article
- Mobile Augmented Screening to Increase HIV Testing Among Emergency Department Patients as Young as 13 Years.Cureus · 2021Article
- Reasons People Who Use Opioids Do Not Accept or Carry No-Cost Naloxone: Qualitative Interview Study.JMIR formative research · 2020Article
- Toward a human-centered use of technology: a stakeholder analysis of harm reduction and CBO staff.Harm reduction journal · 2020Article
- Computer-Based Substance Use Reporting and Acceptance of HIV Testing Among Emergency Department Patients.AIDS and behavior · 2020Article
- An Internet-Based Self-Testing Model (Easy Test): Cross-Sectional Survey Targeting Men Who Have Sex With Men Who Never Tested for HIV in 14 Provinces of China.Journal of medical Internet research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The United States faces dramatically increasing rates of opioid overdose deaths, as well as persistent ongoing problems of undiagnosed HIV and HCV infection. These problems commonly occur together in substance using populations that have limited, if any, access to primary care and other routine health services. To collectively address all three issues, we developed the Mobile Intervention Kit (MIK), a tablet computer-based intervention designed to provide overdose prevention and response training and to facilitate HIV/HCV testing in community settings. Intervention content was produced in collaboration with experienced street outreach workers who appear onscreen in a series of educational videos. A preliminary pilot test of the MIK in a Bronx, NY street outreach syringe exchange program found the MIK is feasible and highly acceptable to a population of people who inject drugs. Participants accepted HIV and HCV testing post-intervention, as well as naloxone training to reverse overdose events. Pre-post tests also showed significant increases in knowledge of overdose prevention, HIV testing procedures, and asymptomatic HCV infection. Future iterations of the MIK can be optimized for use in community as well as clinical settings nationwide, and perhaps globally, with a focus on underserved urban populations.
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What OpenQuestion holds
Registered trials
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.