ArticlePreventive medicine reports2026
Predictors of treatment engagement in a group-based, telehealth smoking cessation program.
Article in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Tobacco-related health disparities persist across age and socioeconomic status. Individual-level factors appear to influence engagement in smoking cessation treatment; however, findings have been mixed, with limited focus on telehealth treatment. The present study examined sociodemographic predictors of engagement in a telehealth smoking cessation program. Methods: Patients were primarily Black (78%), female (72%), and middle-aged or older (mean age = 58.2, range 21-92 years) adults who participated in a telehealth group smoking cessation program from 2020 to 2024 ( Results: Patients were more likely to complete treatment if they were older ( Conclusions: This study shows differences in treatment engagement based on individual-level factors; older age, White race, and having higher education was predictive of increased engagement. Increased treatment accessibility may improve engagement among those most at risk for smoking-related harms. Findings highlight the program's strength in engaging older patients in telehealth.
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.