ArticleJournal of addiction medicine
Technology Use Patterns Among Patients Enrolled in Inpatient Detoxification Treatment.
Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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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, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Smartphone Apps Targeting Alcohol and Illicit Substance Use: Systematic Search in in Commercial App Stores and Critical Content Analysis.JMIR mHealth and uHealth · 2019Pooled it
- Group behavioral activation with and without a smartphone app in intensive outpatient treatment for substance use disorder: A three-arm randomized controlled trial.Drug and alcohol dependence · 2023Trial
- Optimizing the length and reliability of measures of mechanisms of change to support measurement-based care in alcohol use disorder treatment.Journal of consulting and clinical psychology · 2021Trial
- Integrating Text Messaging in a Low Threshold Telebuprenorphine Program for New York City Residents with Opioid Use Disorder during COVID-19: A Pilot Randomized Controlled Trial.Journal of addiction medicineTrial
- HCV hotline facilitates Hepatitis C elimination during the COVID-19 pandemic.Journal of viral hepatitis · 2022Article
- Smartphone Ownership, Smartphone Utilization, and Interest in Using Mental Health Apps to Address Substance Use Disorders: Literature Review and Cross-sectional Survey Study Across Two Sites.JMIR formative research · 2022Article
- Internet use and uptake of a web-based prevention and risk reduction intervention for persons who use drugs in New York City - WebHealth4Us study (2013-2016).Substance abuse · 2022Article
- A Mixed-Methods Evaluation of the Feasibility of a Medical Management-Based Text Messaging Intervention Combined With Buprenorphine in Primary Care.Substance abuse : research and treatment · 2022Article
- Early innovations in opioid use disorder treatment and harm reduction during the COVID-19 pandemic: a scoping review.Addiction science & clinical practice · 2021Article
- A Mobile App to Enhance Behavioral Activation Treatment for Substance Use Disorder: App Design, Use, and Integration Into Treatment in the Context of a Randomized Controlled Trial.JMIR formative research · 2021Article
- What do clinicians want? Understanding frontline addiction treatment clinicians' preferences and priorities to improve the design of measurement-based care technology.Addiction science & clinical practice · 2021Article
- E-cigarette use and beliefs among adult smokers with substance use disorders.Addictive behaviors reports · 2021Article
- Direct patient-physician communication via a hepatitis C hotline facilitates treatment initiation in patients with poor adherence.Wiener klinische Wochenschrift · 2021Article
- Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science.Current addiction reports · 2020Article
- Detecting illicit opioid content on Twitter.Drug and alcohol review · 2020Article
- Harnessing digital data and data science to achieve 90-90-90 goals to end the HIV epidemic.Current opinion in HIV and AIDS · 2019Review
- Perspectives on the HIV continuum of care among adult opioid users in New York City: a qualitative study.Harm reduction journal · 2019Article
- Smoking patterns and preferences for technology assisted smoking cessation interventions among adults with opioid and alcohol use disorders.Journal of substance use · 2019Article
- Technology preferences to enhance HIV and HCV care among patients with substance use disorders.Journal of addictive diseasesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTechnology-based interventions offer a practical, low-cost, and scalable approach to optimize the treatment of substance use disorders (SUDs) and related comorbidities (HIV, hepatitis C infection). This study assessed technology use patterns (mobile phones, desktop computers, internet, social media) among adults enrolled in inpatient detoxification treatment.
methodsA 49-item, quantitative and qualitative semi-structured survey assessed for demographic characteristics, technology use patterns (ie, mobile phone, text messaging [TM], smart phone applications, desktop computer, internet, and social media use), privacy concerns, and barriers to technology use. We used multivariate logistic regression models to assess the association between respondent demographic and clinical characteristics and their routine use of technologies.
resultsTwo hundred and six participants completed the survey. Nearly all participants reported mobile phone ownership (86%). Popular mobile phone features included TM (96%), web-browsers (81%), and accessing social media (61%). There was high mobile phone (3.3 ± 2.98) and phone number (2.6 ± 2.36) turnover in the preceding 12 months. Nearly half described daily or weekly access to desktop computers (48%) and most reported internet access (67%). Increased smartphone ownership was associated with higher education status (P = 0.022) and homeless respondents were less likely to report mobile phone ownership (P = 0.010) compared to participants with any housing status (ie, own apartment, residing with friends, family, or in a halfway house). Internet search engines were used by some participants (39.4%, 71/180) to locate 12 step support group meetings (37%), inpatient detoxification programs (35%), short- or long-term rehabilitation programs (32%), and outpatient treatment programs (4%).
conclusionsTechnology use patterns among this hard-to-reach sample of inpatient detoxification respondents suggest high rates of mobile phone ownership, TM use, and moderate use of technology to facilitate linkage to addiction treatment services.
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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.