ArticleAIDS care2009
Can you hear me now? Limited use of technology among an urban HIV-infected cohort.
Article in AIDS care, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- The COMEBACK Study: Social Determinants of Health Impact on Virologic Suppression in a 48-Week Low-Barrier-Care Study of Rapid Antiretroviral Therapy Reinitiation Among Persons With HIV Lost to Care.Open forum infectious diseases · 2026Trial
- Barriers to using text message appointment reminders in an HIV clinic.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2014Trial
- Reducing heavy drinking in HIV primary care: a randomized trial of brief intervention, with and without technological enhancement.Addiction (Abingdon, England) · 2013Trial
- Trial
- COVID-19, Telemedicine, and Patient Empowerment in HIV Care and Research.AIDS and behavior · 2020Article
- Technology Use Among Patients in a Nonurban Southern U.S. HIV Clinic in 2015.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2016Article
- Text messaging for enhancement of testing and treatment for tuberculosis, human immunodeficiency virus, and syphilis: a survey of attitudes toward cellular phones and healthcare.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2011Article
- Technicalities: Getting and staying connected to people living with HIV/AIDS in the southern United States.Patient education and counseling · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Recent studies support technology-based behavioral interventions for individuals with HIV. This study focused on the use of cell phone and internet technologies among a cohort of 515 HIV-infected individuals. Socio-demographic and clinic data were collected among individuals presenting at an urban Midwestern university HIV clinic in 2007. Regular internet usage occurred more often with males, Caucasians, those who were employed, had higher income, and were more educated. Higher levels of education and income >$10,000 predicted regular usage when controlling for race, employment, and gender. Cell phone ownership was associated with being Caucasian, employed, more educated, and salary >$10,000. Employment was the only predictor of owning a cell phone when controlling for income, race, and education. Individuals who were <40 years of age, employed, and more educated were more likely to know how to text message. Employment and post-high school education predicted knowledge of text messaging, when controlling for age. Disparities among internet, cell phone, and text messaging usage exist among HIV-infected individuals.
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.