ArticleContemporary clinical trials2021
Effectiveness of a smoking cessation algorithm integrated into HIV primary care: Study protocol for a randomized controlled trial.
Article in Contemporary clinical trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Interventions for tobacco use cessation in people living with HIV.The Cochrane database of systematic reviews · 2024Pooled it
- Routine collection of patient-reported outcomes in HIV clinics: lessons learned after more than 130 000 assessments have been completed.AIDS (London, England) · 2026Article
- Tobacco Use and Treatment of Tobacco Dependence Among People With Human Immunodeficiency Virus: A Practical Guide for Clinicians.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundWhile addressing smoking cessation in the context of HIV primary care may increase the acceptability of smoking cessation treatment for patients, HIV care providers have not been trained in offering these treatments. Tools that aid providers in treatment selection, such as computer-generated algorithms, may address barriers to providing effective and efficient treatment options to their patients.
objectiveTo test the effectiveness of a computer-generated smoking cessation pharmacotherapy recommendation algorithm fully integrated into HIV primary care against an enhanced usual care condition.
methodsSix hundred adult smokers living with HIV will be recruited from 3 medical clinics that provide HIV care in Birmingham, AL, Seattle, WA, and Boston, MA. Participants will be asked to complete a baseline visit and 4 follow-up visits, which will include self-report assessments and carbon monoxide monitoring. Additionally, participants have the option to respond to weekly text-message based surveys sent over an 11-week period between baseline and end of treatment. Participants randomized to the AT condition will have a tailored, algorithm-generated smoking cessation pharmacotherapy recommendation delivered to their HIV care provider via EHR, with the potential to receive up to 12 weeks of smoking cessation pharmacotherapy.
conclusionsA smoking cessation pharmacotherapy recommendation algorithm integrated into HIV primary care may increase treatment utilization and smoking abstinence among smokers living with HIV. If successful, the intervention would be ready for use across the entire CFAR Network of Integrated Clinical Systems network and, more broadly, in HIV clinics that utilize an EHR system.
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.