Tobacco Quitline utilization compared with cigarette smoking prevalence in Virginia across rurality and Appalachian Status, 2011-2019.

Introduction: While cigarette smoking rates have declined, rural and Appalachian populations in the United States have not seen similar decreases. Quitline programs are promising strategies in reducing disparities in these areas, but research on their usage is limited. Methods: We employed Small Area Estimation on the Virginia Behavioral Risk Factor Surveillance System (2011-2019) to estimate county-level smoking prevalence and utilized The Quit Now Virginia Quitline data (2011-2019) to estimate Quitline users. We analyzed differences in Quitline utilization by rurality and Appalachian status using statistical t-tests. Stepwise regression assessed the absolute estimate of county features, including poverty rate, tobacco retailer density, physician availability, coal mining industry, and tobacco agriculture, on Quitline usage. Results: While the average smoking rate overall was 15.3 %, only 7.4 % of smokers accessed Quitline services from 2011 to 2019. Appalachian regions exhibited higher smoking rates (20.9 %) and lower quitline usage (4.8 %) compared to non-Appalachian areas (14 % smoking prevalence, 8 % quitline usage). Rural regions had higher smoking prevalence (19.0 %) than urban areas (12.9 %), but no significant difference in Quitline utilization (7.6 % vs. 7.2 %, p = 0.7). Stepwise regression revealed counties with more tobacco agriculture had 3.2 % (p = 0.04) lower Quitline utilization. Also, more physicians availability in the county was associated with 3.9 % higher Quitline usage (p = 0.03) and Appalachian counties exhibited a 3.6 % lower Quitline usage rate compared to non-Appalachian counties. Conclusion: A significant gap exists between cigarette smoking prevalence and Quitline utilization, particularly in underserved rural and Appalachian areas, despite no clear barriers to accessing this remote cessation resource. Implication: The study underscores persistent disparities in smoking rates, with rural and Appalachian regions in the United States facing higher smoking prevalence and limited utilization of Quitline services. Despite no clear barriers to access, the gap between smoking prevalence and Quitline usage remains significant, particularly in underserved areas. Tailoring interventions to address regional disparities and factors like tobacco agriculture and physician availability is essential to reduce smoking rates and improve Quitline utilization in these communities.

A retrospective cost-effectiveness analysis of different cognitive-behavioral therapy for insomnia intervention delivery approaches in adult cancer survivors.

BACKGROUND: Cognitive-behavioral therapy for insomnia (CBT-I) is considered the gold standard treatment for insomnia. Prior trials have delivered CBT-I across a range of treatment sessions. Understanding the economics of varying treatment approaches is essential for future implementation considerations. METHODS: We conducted a retrospective cost-effectiveness analysis from the provider's perspective, comparing the implementation of a three-session CBT-I program for cancer survivors (CBT-I-CS) versus a stepped care treatment approach consisting of an initial single sleep education session followed by CBT-I-CS if elevated insomnia symptoms persisted. The effectiveness measure used was the percentage of participants whose insomnia had remitted by the end of each program. RESULTS: Stepped care delivery was more effective than CBT-I-CS alone, resulting in 35.4% more remitted patients by the end of the overall program. For a $480 willingness to pay threshold per percentage of remitted patients, stepped care CBT-I-CS reached a 98% probability of being cost-effective, while CBT-I-CS alone had only a 2% probability. Larger group sessions in the first step of a stepped care delivery model resulted in more favorable cost-effectiveness. CONCLUSIONS: A stepped care delivery model may be a more cost-effective approach if it can be implemented efficiently. These findings inform policies aimed at improving cancer survivors' access to much-needed insomnia treatment in settings where financial resources for CBT-I may be limited, and be an important barrier to treatment dissemination. CLINICAL TRIAL REGISTRATION: These analyses were not registered.

The impact of social vulnerability index on survival following autologous stem cell transplant for multiple myeloma.

Autologous hematopoietic stem cell transplantation (ASCT) is the standard of care for eligible patients with multiple myeloma (MM) to prolong progression-free survival (PFS). While several factors affect survival following ASCT, the impact of social determinants of health such as the CDC Social Vulnerability Index (SVI) is not well documented. This single-center retrospective analysis evaluated the impact of SVI on PFS following ASCT in MM patients. 225 patients with MM who underwent ASCT participated, with 51% transplanted in the last 5 years. At 5 years post-transplant, 55 (50%) achieved PFS and 66 (60%) remained alive. Higher SVI values were significantly associated with lower odds of PFS (OR = 0.521, p < 0.01, 95% CI [0.41, 0.66]) and OS (OR = 0.592, p < 0.01, 95% CI [0.46, 0.76]) post-transplant. Greater vulnerability scores in the socioeconomic status (OR = 0.890; 95% CI: [0.82, 0.96]), household characteristics (OR = 0.912; 95% CI: [0.87, 0.95]), and racial and ethnic minority status (OR = 0.854; 95% CI: [0.81, 0.90]) themes significantly worsened the odds of PFS. These results suggest high SVI areas may need more resources to achieve optimal PFS and OS. Future studies will focus on addressing factors within the socioeconomic status, household characteristics, and racial and ethnic minority subthemes, as these have a more pronounced effect on PFS.

Urologic Consultations for Urethral Catheter Placement: A Cost Analysis.

OBJECTIVE: To comprehensively analyze the cumulative costs associated with Foley consultations throughout their event lifespan. Urologic consultation for Foley catheter (Foley) management is common. Such consultations are heterogeneous, with some requiring only simple catheter placement. Others (eg, traumatic Foley) necessitate more complex procedural intervention and may also result in downstream care and/or intervention needs. METHODS: This study analyzed a retrospective database of consecutive urologic Foley consultations at a single academic institution (2017-2019), collecting comprehensive data on patient characteristics, related procedures/materials, and downstream care (eg, hospitalization, laboratory/radiology testing, evaluation and management services). A process map and related modeling were used to assess categorical and cumulative event costs. Allocated costs and charges were utilized for materials/institutional resources and for services rendered, respectively. Statistical analysis performed using SAS and statistical inferences were based on significance level of 10%. RESULTS: A total of 244 patient encounters were included in the analysis. The mean overall cost of all care related to Foley consultation was $2389.23 (±$4045.89). A total of 62 (25.4%) patients required only consultation/Foley without additional intervention, with a total cost of $738.90 (±$94.10). The remaining 182 (75.6%) patients required additional intervention and related cost (total cost $3413.27 (±$4850.41)). Traumatic catheterization was associated with higher cost compared with atraumatic cases ($3201.50 (±$6158.4) vs $1926.40 (±$1776.20), respectively, P = .05). Downstream care comprised a significant portion of overall cost. In 61 (25%) cases no nurse attempt was performed prior to consultation. CONCLUSION: Urologic Foley consultation is associated with significant health system cost. Quality initiatives to optimizing Foley placement and management are critical to improving quality of care and associated downstream costs.

Gestational Weight Gain Among Urban and Rural Pregnant Individuals Who Smoke or Quit Smoking.

INTRODUCTION: Approximately 7.2% of individuals in the U.S. smoke during pregnancy, and cessation is associated with excessive gestational weight gain (GWG). Weight gain is a common reason for not quitting smoking or relapsing. The current study aimed to characterize who is at risk for excessive GWG and determine the moderating effect of rurality given the higher smoking rates and lower access to healthcare services in these areas. METHODS: Data from the Virginia Pregnancy Risk Assessment Monitoring System (PRAMS; years 2009-2020) were used to assess the association between participant characteristics, smoking behaviors, and rurality by excessive GWG status in 2023. RESULTS: Almost half (44.0%) of participants experienced excessive GWG; 9.8% of participants quit smoking while 6.9% continued smoking. Respondents who quit during pregnancy had higher odds of excessive GWG than non-smoking respondents (OR=1.83, 95% CI: [1.24, 2.71]). Among those who were non-smoking, respondents in rural areas, compared to urban areas, had a higher probability of experiencing excessive GWG (0.46 vs 0.44, p<0.001). For those who quit smoking (0.60 vs 0.41, p<0.001) or continued to smoke during pregnancy (0.46 vs 0.33, p<0.001), urban residence was associated with a higher likelihood of excessive GWG compared to rural residence. CONCLUSIONS: Smoking cessation and weight management during pregnancy are critical to promoting infant and maternal health. Targeted interventions combining weight management and smoking cessation have been successful among the general population and could be adapted for pregnant individuals who smoke to facilitate cessation and healthy GWG in both urban and rural areas.

A multi-dimensional assessment of financial hardship of cancer patients using existing health system data.

BACKGROUND: Existing financial hardship screening does not capture the multifaceted and dynamic nature of the problem. The use of existing health system data is a promising way to enable scalable and sustainable financial hardship screening. METHODS: We used existing data from 303 adult patients with cancer at the University of Virginia Comprehensive Cancer Center (2016-2018). All received distress screening and had a valid financial assistance screening based solely on household size-adjusted income. We constructed a composite index that integrates multiple existing health system data (Epic, distress screening, and cancer registry) to assess comprehensive financial hardship (e.g., material conditions, psychological responses, and coping behaviors). We examined differences of at-risk patients identified by our composite index and by existing single-dimension criterion. Dynamics of financial hardship over time, by age, and cancer type, were examined by fractional probit models. RESULTS: At-risk patients identified by the composite index were generally younger, better educated, and had a higher annual household income, though they had lower health insurance coverage. Identified periods to intervene for most patients are before formal diagnosis, 2 years, and 6 years after diagnosis. Within 2 years of diagnosis and more than 4 years after diagnosis appear critical for subgroups of patients who may suffer from financial hardship disparities. CONCLUSION: Existing health system data provides opportunities to systematically measure and track financial hardship in a systematic, scalable and sustainable way. We find that the dimensions of financial hardship can exhibit different patterns over time and across patient subgroups, which can guide targeted interventions. The scalability of the algorithm is limited by existing data availability.

Retirement's impact on health: what role does social network play?

While a large body of literature investigates the bidirectional relationship between retirement and health, few have analyzed the mechanism through which retirement affects health which will provide important policy instrument insights. Using three waves of National Social Life, Health, and Aging Project, we examine the mediating role of the social network in the relationship between retirement and health in USA. We address the endogeneity and reverse causality through panel instrumental fixed-effect methods. We apply both single and parallel mediation analyses to identify the potential mechanism by which social network characteristics mediate the impact of retirement on health. Findings reveal that retirement adversely affects physical and mental health outcomes, and a considerable portion of these effects are explained by social network changes post-retirement. Specifically, 58% of reduction in the probability of reporting good physical health and 4.5% of increment in chances of having depression symptoms post-retirement can be explained by shrinkage in the size of social network in retirees. Using parallel mediation identification to account for dependencies among social network features, we find that social network size induces 79.5% reduction in probability of reporting good physical health and 18.6% increase in probability of having depression in retirees as compared to non-retirees. Findings in this paper suggest that investing in social network of the elderly can buffer the adverse health effect of retirement and can be an effective policy target for promoting healthy aging.

Examining Smoking Prevalence Disparities in Virginia Counties by Rurality, Appalachian Status, and Social Vulnerability, 2011-2019.

Objectives. To estimate county-level cigarette smoking prevalence in Virginia and examine cigarette use disparities by rurality, Appalachian status, and county-level social vulnerability. Methods. We used 2011-2019 Virginia Behavioral Risk Factor Surveillance System proprietary data with geographical information to estimate county-level cigarette smoking prevalence using small area estimation. We used the Centers for Disease Control and Prevention's social vulnerability index to quantify social vulnerability. We used the 2-sample statistical t test to determine the differences in cigarette smoking prevalence and social vulnerability between counties by rurality and Appalachian status. Results. The absolute difference in smoking prevalence was 6.16 percentage points higher in rural versus urban counties and 7.52 percentage points higher in Appalachian versus non-Appalachian counties in Virginia (P < .001). Adjusting for county characteristics, a higher social vulnerability index is associated with increased cigarette use. Rural Appalachian counties had 7.41% higher cigarette use rates than did urban non-Appalachian areas. Tobacco agriculture and a shortage of health care providers were significantly associated with higher cigarette use prevalence. Conclusions. Rural Appalachia and socially vulnerable counties in Virginia have alarmingly high rates of cigarette use. Implementation of targeted intervention strategies could reduce cigarette use, ultimately reducing tobacco-related health disparities. (Am J Public Health. 2023;113(7):811-814. https://doi.org/10.2105/AJPH.2023.307298).

Motives of Tobacco Use Among Young Adults in the United States Air Force.

PURPOSE: Research has focused on cigarette use motives and have not included military personnel. The current study assessed tobacco use motives for different products, and differences within males and females and those with different racial identities given historical disparities in tobacco use. DESIGN: A cross-sectional survey about tobacco use was administered from October 2019 to February 2022. SETTING: Four Technical Training bases in the US. SAMPLE: Air Force Airmen who used tobacco (N = 3243). MEASURES: Questions were about sociodemographic characteristics, tobacco use, and the Tobacco Motives Inventory (representing affect regulation, boredom, enhancement, and social motives). ANALYSIS: Linear regressions assessed associations between overall tobacco use and motives. Stratified analyses assessed associations between tobacco use and motives among males and females, and individuals from different racial backgrounds. Logistic regressions assessed differences in motives and use of different tobacco products between "some day" and "everyday" users. RESULTS: Overall, boredom (B = .09, SE = .01) and affect regulation (B = .05, SE = .00) motives were associated with higher tobacco use. Males and females and individuals from different racial backgrounds endorsed different motives, but all endorsed boredom as a motive for higher tobacco use. Individuals who used cigarettes, e-cigarettes, or smokeless tobacco "some days" endorsed higher social motives than everyday users, but everyday users endorsed different motives across products. CONCLUSION: There are motives differentiating between "some day" and "everyday" users of tobacco products, which may need to be differentially targeted in intervention programs. Additionally, there are some overlapping motives (affect regulation, boredom) that may be beneficial to address with all tobacco users.

Differential Impact of Social Distancing on COVID-19 Spread in the U.S.: By Rurality and Social Vulnerability.

Background: To quantify lessons learned to better prepare for similar pandemic crisis in the future, we assess the overall impact of social distancing on the daily growth rate of COVID-19 infections in the U.S. during the initial phase of the pandemic and the impacts' heterogeneity by urbanity and social vulnerability of the counties. The initial phase is chosen to purposely identify the essential and largest impact of the first-line of defense measure for similar pandemic: social distancing. Methods: Spatial Durbin models with county fixed effects were used to account for spatial dependencies and identify spatial spillover effects and spatial heterogeneity. Results: Besides the substantial curve flattening effects of social distancing, our results show significant spillover effects induced by neighboring counties' social distancing levels even in the absence of significant within-county effects. Urban and areas with high social vulnerability are the ones benefit the most from social distancing and high level of compliance is needed. Moderate level is enough in reaching the peak marginal impact in rural and areas with low social vulnerability.