ArticleJournal of thoracic disease2021
Follow-up loss in smoking cessation consultation: can we predict and prevent it?
Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
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Who cites it
4 citing papers in PubMed, 14 citations in OpenAlex.
- Risk of smoking cessation treatment dropout: a cohort to help (re)think care.Revista brasileira de enfermagem · 2024Article
- Prevalence and risk factors for depression and anxiety in patients with nasolacrimal duct obstruction.Frontiers in psychiatry · 2023Article
- Community Health Workers Improve Smoking Cessation When They Recruit Patients in Their Home Villages.Journal of primary care & community healthArticle
- Ten-Year Real-Life Experience With Varenicline in a Hospital-Based Smoking Cessation Program.Open respiratory archivesArticle
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCigarette smoking has a considerable health and economic burden in modern society, with increased risk of morbidity and mortality. Therefore, smoking cessation policies and medical treatments are essential. However, cessation rates are low and the abandonment of the consultation is common. The identification of characteristics that may predict adherence will help defining the best treatment strategy. This study aimed to identify predictors of follow-up loss in smoking cessation consultation.
methodsWe made a retrospective observational study, including a cohort of patients who started smoking cessation consultation (April-December 2018). Clinical data from consultations was collected and analyzed with
resultsA total of 175 patients was selected (41.1% female), with a mean age of 53±12 years. Eighty-five patients (48.6%) were discharged for abandonment. They had a median pack-year unit 38±36 (P=0.011), Fagerström and Richmond scores of 5±2 and 7±2, respectively. There was an association between women (P<0.001), younger age (P<0.001), depression/anxiety (P=0.023), lower smoking load (P=0.019), starting the treatment in the first appointment (P=0.004) and the abandonment of the consultation. In binary logistic regression, younger age (less than 50 years) (OR =4.39; 95% CI: 1.99-9.70), starting the treatment in the first appointment (OR =3.04; 95% CI: 1.44-6.42) and depression/anxiety (OR =2.30; 95% CI: 1.08-4.88) remained independent predictors of loss in follow-up.
conclusionsWomen, younger age, depression/anxiety, lower smoking load and starting treatment in the first appointment are predictors of follow-up loss, so, these patients may benefit from more frequent evaluations and intensive cognitive approach. This study also raises awareness about the adequate timing to start pharmacological support for smoking cessation.
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