Background: Smoking is more prevalent and persistent among lower socio-economic status (SES) compared with higher-SES groups, and contributes greatly to SES-based health inequities. Few interventions exist that effectively help lower-SES smokers quit. This study evaluated "De StopCoach", a mobile phone delivered eHealth intervention targeted at lower-SES smokers based on the evidence-based StopAdvisor, in a real-world setting (five municipalities) in The Netherlands in 2019-2020.
Method: We conducted individual semi-structured interviews with project leaders, healthcare professionals, and participating smokers (N = 22), and examined log data from the app (N = 235). For practical reasons, SES of app users was not measured. Qualitative data were analysed using the Framework Approach, with the Consolidated Framework for Implementation Research (CFIR) and Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical models.
Results: Qualitative data showed that factors from the Intervention and Setting domains were most important for the implementation. StopCoach seemed suitable for lower-SES smokers in terms of performance and effort expectancy, especially when integrated with regular smoking cessation counseling (SCC). Key barriers to implementation of the app were limited integration of the app in SCC programs in practice, difficulty experienced by project leaders and healthcare professionals to engage the local community, and barriers to SCC more generally (e.g., perceived resistance to quitting in patients) that prevented healthcare professionals from offering the app to smokers. Quantitative data showed that 48% of app users continued using the app after the preparation phase and pre-quit day, and that 33% of app users had attempted to quit. Both app adherence and quit attempts were more likely if smokers also received SCC from a professional coach. Posthoc analyses suggest that adherence is related to higher likelihood of a quit attempt among participants with and without a professional coach.
Conclusions: Smokers, healthcare professionals and project leaders indicated in the interviews that the StopCoach app would work best when combined with SCC. It also appears from app log that app adherence and quit attempts by app users can be facilitated by combining the app with face-to-face SCC. As such, blended care appears promising for helping individual smokers quit, as it combines the best of regular SCC and eHealth. Further research on blended care for lower-SES smokers is needed.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320182 | PMC |
http://dx.doi.org/10.1186/s13722-021-00255-5 | DOI Listing |
BMC Pregnancy Childbirth
December 2024
Department of Public Health Sciences, University of Virginia, 560 Ray C Hunt Drive, Room 2107, Charlottesville, VA, 22908, USA.
Background: Maternal smoking during pregnancy carries significant health risks for both mothers and infants, especially in vulnerable regions like rural and Appalachian areas with high smoking rates. Understanding the causes of high smoking rates in vulnerable areas is crucial for designing effective interventions to promote smoking cessation and reduce preventable health disparities.
Methods: Data from the Virginia Pregnancy Risk Assessment Monitoring System (PRAMS; years 2009-2020) comprised of 7,861 women aged over 18 were used in this cross-sectional observational study.
JAMA Intern Med
September 2024
Department of Medicine, Division of Cardiology, University of Vermont, Burlington.
Importance: Participation in cardiac rehabilitation is associated with significant decreases in morbidity and mortality. Despite the proven benefits, cardiac rehabilitation is severely underutilized in certain populations, specifically those with lower socioeconomic status (SES).
Objective: To assess the efficacy of early case management and/or financial incentives for increasing cardiac rehabilitation adherence among patients with lower SES.
Int J Public Health
August 2024
Department of Health Policy and Economics, Hanoi University of Public Health, Hanoi, Vietnam.
This study used repeated cross-sectional data from three national surveys in Vietnam to determine tobacco smoking prevalence from 2010 to 2020 and disparities among demographic and socioeconomic groups. Tobacco smoking temporal trends were estimated for individuals aged 15 and over and stratified by demographic and socioeconomic status (SES). Prevalence estimates used survey weights and 95% confidence intervals.
View Article and Find Full Text PDFJ Asthma
October 2024
Traditional and Complementary Medicine Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Introduction: A large portion of the world's population has asthma. This study aimed to ascertain asthma prevalence and related factors in the Tabari cohort study (TCS).
Methods: The TCS included 10,255 35-70-year-olds from urban and mountainous Sari (northern Iran) between June 2015 and November 2017.
Nicotine Tob Res
August 2024
Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI, USA.
Introduction: Alternative Nicotine Delivery Systems (ANDS) such as e-cigarettes (EC) and oral nicotine pouches (ONP) may facilitate the substitution of smoking for those unwilling to quit. This pilot study assesses the harm-reduction potential of EC and ONP among smokers with low socioeconomic status (SES).
Aims And Methods: Adults who smoked daily in the past 6 months, had a household income < 250% federal poverty level and had no intention of quitting smoking in the next 30 days were randomized 2:2:1 to 8 weeks of 5% nicotine EC; 4 mg ONP or assessment-only control (CC).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!