ArticleJournal of addictive diseases
Technology preferences to enhance HIV and HCV care among patients with substance use disorders.
Article in Journal of addictive diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Understanding Users' Engagement in a Provider-Created Mobile App for Training to Advance Hepatitis C Care: Knowledge Assessment Survey Study.JMIR formative research · 2024Article
- Mobile phone ownership, digital technology use and acceptability of digital interventions among individuals on opioid use disorder treatment in Kenya.Frontiers in digital health · 2022Article
- Hepatitis C Virus Prevalence, Screening, and Treatment Among People Who Are Incarcerated in Canada: Leaving No One Behind in the Direct-Acting Antiviral Era.Clinical liver disease · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We examined technology use patterns (e.g., mobile phone and computer ownership, text messaging, internet access) and preferences for adopting health information technologies to optimize office-based treatment for substance use disorders, HIV, and Hepatitis C virus (HCV) infection. Surveys were administered to patients enrolled in inpatient detoxification program in a publicly-funded tertiary referral center. Most reported mobile phone ownership (86%) and described high rates of mobile phone (3.3) and phone number (2.6) turnover in the preceding year. Internet access was reported on a daily (52%) or weekly basis (22%). Most participants were amenable to receiving text message-based informational content (i.e., medications, support groups, treatment programs) pertaining to substance use disorders (79%), HIV (50%), and HCV care (58%). Respondents reporting less than high school education and past year incarcerated elicited higher favorability in adopting smartphone apps to facilitate peer sharing of HIV-HCV related content. Results suggest high favorability for adopting health information technologies to enhance office-based treatment for substance use disorders, HIV, and HCV, particularly among vulnerable patient sub-groups.
Indexed as
Identifiers
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.