Background and objectives: Smoking is associated with a lower health-related quality of life (HRQOL). However, there is little information about the association between HRQOL in relation to race, income, and smoking status. The present study aimed to assess the association between HRQOL and smoking status for those of different races and income levels. Materials and Methods: This study applied a cross-sectional design using data from the 2017 patient survey of the Louisiana Tobacco Control Initiative. We obtained 1108 responses from patients at eight Louisiana public hospitals. The EuroQol (EQ-5D) US index score assessed HRQOL. Smoking status was classified into four groups: never smoked, former smoker, current smoker with a quit attempt, and current smoker without a quit attempt. Multivariate linear regression analyses were used to estimate the HRQOL for black or African Americans and whites. Results: The patients were predominantly black or African American (58.9%) with lower-income (71.2%). Bivariate analyses showed that there were differences in income levels between black or African Americans and whites (p = 0.006). Moreover, black or African Americans (median = 0.80) had a higher mean of HRQOL than whites (median = 0.76). Among lower-income black or African Americans, current smokers with a quit attempt had a lower HRQOL than current smokers (coefficient = −0.12; p < 0.01). Conclusions: Racial and income disparities were evident with regards to HRQOL, with lower-income black or African Americans who were current smokers with a quit attempt having a lower HRQOL. Intervention programs for smoking cessation should target lower-income black or African American smokers who have a prior quit attempt and provide effective cessation services to help them quit smoking and improve their HRQOL.

Objectives. We examined electronic health records (EHRs) to assess the impact of systems change on tobacco use screening, treatment, and quit rates among low-income primary care patients in Louisiana. Methods. We examined EHR data on 79 777 patients with more than 1.2 million adult primary care encounters from January 1, 2009, through January 31, 2012, for evidence of systems change. We adapted a definition of “systems change” to evaluate a tobacco screening and treatment protocol used by medical staff during primary care visits at 7 sites in a public hospital system. Results. Six of 7 sites met the definition of systems change, with routine screening rates for tobacco use higher than 50%. Within the first year, a 99.7% screening rate was reached. Sites had a 9.5% relative decrease in prevalence over the study period. Patients were 1.03 times more likely to sustain quit with each additional intervention (95% confidence interval = 1.02, 1.04). Conclusions. EHRs can be used to demonstrate that routine clinical interventions with low-income primary care patients result in reductions in tobacco use and sustained quits.

Background: Compared to nonsmokers, smokers with chronic disease are less likely to adhere to self-management recommendations for the management of their chronic conditions. Although the literature notes poor adherence trends in smokers, actual influences of adherence in these patients require further study. This study examines the health beliefs that influence self-management behaviors in smokers with chronic lung disease. Methods: This prospective, cross-sectional study surveyed patients (n = 83) seen in the pulmonary outpatient clinics of the University Medical Center of New Orleans between November 2015 and February 2016. Eligible patients included those between 40–64 years old diagnosed with asthma and/or chronic obstructive pulmonary disease (COPD). Primary measures included perceived beliefs related to the susceptibility to asthma and/or COPD becoming worse, perceived barriers to adherence, and perceived benefits to adherence. Patient characteristics under-study included smoking status, race, gender, and diagnosis. Descriptive and chi-square analyses were performed to characterize the sample. Student’s t and and regression analyses were conducted to examine the relationships between perceptions, smoking status, race, gender, and diagnosis. Results: Compared to nonsmokers, smokers perceived their asthma and/or COPD becoming worse (p = 0.0023). Smokers also perceived more barriers (p < 0.0001), and fewer benefits to adherence than nonsmokers (p = 0.0021). Conclusion: The health beliefs of smokers may influence their self-management behaviors. Results of this study can inform the development of services that target smokers in order to improve adherence to self-management behaviors and health outcomes.

Despite a wealth of intervention research in cancer control, full integration of evidence-based interventions into practice often fails, at least in part because of inadequate collaboration between practitioners and researchers. The National Cancer Institute piloted a mentorship program designed for practitioners to improve their ability to navigate evidence-based decision making within a context of inadequate resources, political barriers, and organizational constraints. The National Cancer Institute simultaneously sought to provide opportunities for practitioners and researchers to share and learn from each other. We identified four key successes and challenges related to translation as experienced by mentees: (a) establishing and maintaining partnerships, (b) data collection and analysis, (c) navigating context, and (d) program adaptation and evaluation. Mentorship programs have the potential to facilitate increased and more successful integration of evidence-based interventions into practice by promoting and building the capacity for collaborative decision making and generating in-depth understanding of the translation barriers and successes as well as strategies to address the complex contextual issues relative to implementation.

Adherence to self-management recommendations is critical for patients with chronic disease. Compared to nonsmokers, smokers with conditions such as diabetes, HIV, and heart disease are less likely to adhere to provider recommendations. Regarding lung disease, asthma and COPD can be caused and/or exacerbated by smoking, however little is known on the relationship between adherence and smoking status in these patients. The purpose of this study was to characterize the relationship between smoking status and adherence to multiple measures of self-care- including medication taking, medication filling, appointment keeping, yearly vaccinations, carrying medical supplies, and healthcare utilization- in patients with asthma and/or COPD. In addition to smoking status, we also included an examination of these measures by race/ethnicity, gender, and diagnosis. This study employed a cross-sectional design on a convenience sample of n = 84 patients (40–64 years old) with a diagnosis of asthma and/or COPD. The study was conducted between November 2015 and February 2016 in the waiting rooms of the outpatient pulmonary clinics at the University Medical Center of New Orleans. Patients completed surveys while awaiting their clinic appointments. Smoking status, gender, race, and diagnosis were explored as predictors of adherence using descriptive statistics, chi square, and regression analyses. Compared to nonsmokers, smokers were less adherent to medication filling (p < 0.0001), medication taking (p = 0.04), and having yearly vaccinations than nonsmokers (p = 0.003). Independent of smoking status, differences across self-care measures were also found based on respondent diagnosis, race, and gender. Smoking was associated with lower levels of adherence across multiple measures of self-care. By identifying self-management practices that are most difficult for smokers to follow, researchers can develop interventions that target these behaviors. Future studies should further this research by exploring reasons for poor adherence in smokers as well as address barriers that inhibit self-care.

Background: The purpose of this study is to investigate knowledge, attitudes, and smoking cessation needs for African Americans who receive low dose computed tomography (LDCT) in an effort to reduce the health burden of lung cancer. Methods: A mixed method study was conducted among African Americans who received LDCT. Data were gathered using a self-administered questionnaire and structured in-depth interview. Descriptive statistics were used to provide summary information on knowledge, attitude and smoking behaviors. Thematic analysis was used to analyze interview data. The sample size for both the quantitative and qualitative approach was fifteen. Results: The results showed that 73% of participants were male, the mean age was 61.8 (SD =4.6) years old, and 66.7% of participants had an income less than $20,000. Eighty percent had an education level of high school or below and 73.3% were overweight or obese. Smoking history was long (mean years =39 SD =14.9), but the number of cigarettes smoked per day was low (mean =9.2 SD =7.3), and 64% of the patients had a low nicotine dependence. Assessment of knowledge and attitudes towards LDCT revealed that participants had a moderate/lower knowledge score (mean =4.3 SD =2.6), and most had a positive attitude. All participants planned to quit smoking, with 73% planning to quit within the next 6 months. Similar findings were also observed in the qualitative analysis. Conclusions: African Americans who receive LDCT lung cancer screening in this study have a moderate/lower knowledge score and positive attitude towards LDCT. Most were not heavy smokers and had a lower nicotine dependence. Understanding the factors associated with smoking cessation among at-risk African American smokers will help reduce disparities in lung cancer burden, and is important to improve health for medically underserved minority populations.