ABSTRACT
PURPOSE: Lung cancer is the leading cause of cancer death, but the advent of lung cancer screening using low-dose computed tomography offers a tremendous opportunity to improve lung cancer outcomes. Unfortunately, implementation of lung cancer screening has been hampered by substantial barriers and remains suboptimal. Specifically, the commentary emphasizes the intersectionality of smoking history and several important sociodemographic characteristics and identities that should inform lung cancer screening outreach and engagement efforts, including socioeconomic considerations (e.g., health insurance status), racial and ethnic identity, LGBTQ + identity, mental health history, military experience/veteran status, and geographic residence in addressing specific community risk factors and future interventions in efforts to make strides toward equitable lung cancer screening. METHODS: Members of the Equitable Implementation of Lung Cancer Screening Interest Group with the Cancer Prevention and Control Network (CPCRN) provide a critical commentary based on existing literature regarding smoking trends in the US and lung cancer screening uptake to propose opportunities to enhance implementation and support equitable distribution of the benefits of lung cancer screening. CONCLUSION: The present commentary utilizes information about historical trends in tobacco use to highlight opportunities for targeted outreach efforts to engage communities at high risk with information about the lung cancer screening opportunity. Future efforts toward equitable implementation of lung cancer screening should focus on multi-level implementation strategies that engage and work in concert with community partners to co-create approaches that leverage strengths and reduce barriers within specific communities to achieve the potential of lung cancer screening.
Subject(s)
Lung Neoplasms , Humans , Early Detection of Cancer/psychology , Lung Neoplasms/diagnosis , Lung Neoplasms/epidemiology , Lung Neoplasms/prevention & control , Smoking/epidemiology , Smoking/adverse effects , Risk FactorsABSTRACT
Media coverage can impact support for health policies and, ultimately, compliance with those policies. Prior research found consistent, high support for Tobacco 21 policies, which raise the minimum legal age of tobacco purchase to 21, among adults and nonsmoking youth. However, a recent study found support (i.e., agreement with the statement: "The legal age to buy tobacco cigarettes should be increased from 18 to 21") among 13-20-year-old smokers increased from 2014 until mid-2016 and then declined steadily through mid-2017. To assess whether media coverage could be related to young smokers' changing support, we conducted an exploratory content analysis to identify texts about Tobacco 21 in a large corpus of tobacco texts (N = 135,691) published in four popular media sources from 2014 to 2017. For this content analysis, we developed a novel methodological approach that combined supervised and unsupervised machine learning methods and could be useful in other areas of communication research. We found that the prevalence of Tobacco 21 media coverage and Tobacco 21 support among young smokers exhibited similar temporal patterns for much of the study period. These findings highlight the need for continued research into the effects of media coverage on Tobacco 21 support among young smokers, a group that must comply with Tobacco 21 policies in order to ensure maximum effectiveness. This research is of particular utility following the 2019 passage of a federal Tobacco 21 regulation, as the public health impact of this regulation could be limited by low public support, and thus low rates of policy compliance.
Subject(s)
Nicotiana , Tobacco Products , Adolescent , Adult , Humans , Public Policy , Smokers , Unsupervised Machine Learning , Young AdultABSTRACT
Background: As smartphone ownership has become common in all demographic groups in the United States, smartphone applications (apps) for smoking cessation have grown in popularity due to their potential for supporting the diverse populations in the United States who are attempting to quit smoking. Usability is commonly assessed in mobile health (mHealth) technology as an important aspect of the user experience that could influence users' adherence to a health app and health outcomes. However, the variation of perceived usability across demographic groups, and the implications of that variation for app success, have not been well studied. Objective: The aims of this study were to characterize variation in the perceived usability of the National Cancer Institute Smokefree.gov Initiative smoking cessation app quitSTART across demographic groups, and to assess the correlation between perceived usability and short-term smoking cessation. Methods: We conducted a secondary analysis of data from a randomized controlled trial conducted from 2020 to 2021, which used a 16-item modified version of the mHealth App Usability Questionnaire (MAUQ) to quantify perceived usability four weeks after app download among 131 smokers attempting to quit. Responses were coded on a 5-point Likert-type scale ranging from strongly disagree (1) to strongly agree (5) and total perceived usability was calculated as the sum of all 16 items (range: 16-80). Associations between participant demographic characteristics (gender, race, education level, age, etc.) and total usability were determined using an ANCOVA model. A multivariable logistic regression model was used to assess the association between usability and smoking cessation, also assessed 4 weeks after app download. Results: The ANCOVA model demonstrated that race was associated with perceived usability, with participants from a racial minority group reporting higher total usability than White participants (p < 0.001). White participants had an adjusted mean total usability of 55.8 (95 % CI: 52.8, 58.8) while racial minority group participants had an adjusted mean total usability of 66.5 (95 % CI: 61.2, 71.6). Other participant demographic characteristics, such as gender and sexual minority status, were not associated with mean total usability. Total usability was positively associated with smoking cessation (OR: 1.04, 95 % CI: 1.00, 1.08, p = 0.031). Conclusions: Total perceived usability of quitSTART was higher among adults from a racial minority group compared to White adults, and perceived usability was positively associated with cessation success. These findings emphasize the importance of ensuring high usability of mHealth smoking cessation apps for diverse populations.