Importance of primary care for underserved cancer patients with multiple chronic conditions.

PURPOSE: To understand the impact of pre-existing conditions on healthcare utilization among under- and uninsured patients in the transition from cancer treatment to post-treatment survivorship. METHODS: Using electronic health record data, we constructed a cohort of patients seen in an integrated county health system between 1/1/2010 and 12/31/2016. Six hundred thirty-one adult patients diagnosed with non-metastatic breast or colorectal cancer during this period (cases) were matched 1:1 on sex and Charlson comorbidity index to non-cancer patients who had at least two chronic conditions and with at least one visit to the health system during the study period (controls). Conditional fixed effects Poisson regression models compared number of primary care and emergency department (ED) visits and completed [vs. no show or missed] appointments between cancer and non-cancer patients. RESULTS: Cancer patients had significantly lower number of visits compared with non-cancer patients (N = 46,965 vs. 85,038). Cancer patients were less likely to have primary care (IRR = 0.25; 95% CI: 0.24, 0.27) and ED visits (IRR = 0.57; 95% CI: 0.50, 0.64) but more likely to complete a scheduled appointment (AOR = 4.83; 95% CI: 4.32, 5.39) compared with non-cancer patients. Cancer patients seen in primary care at a higher rate were more likely to visit the ED (IRR = 2.06; 95% CI: 1.52, 2.80) than those seen in primary care at a lower rate. CONCLUSION: Health systems need to find innovative, effective solutions to increase primary care utilization among cancer patients with chronic care conditions to ensure optimal management of both chronic conditions and cancer. IMPLICATIONS FOR CANCER SURVIVORS: Maintaining regular connections with primary care providers during active cancer treatment should be promoted.

Restricting Tobacco Retail Outlets Around Middle and High Schools as a Way to Reduce Tobacco Marketing Disparities: A Simulation Study.

INTRODUCTION: Communities with more people of color and economically disadvantaged residents are disproportionately exposed to tobacco marketing from tobacco companies. This study examined if banning tobacco retail outlets (TROs) within 1000 ft of schools would reduce these marketing disparities through a greater reduction in the amount of tobacco advertising around schools in these communities. METHODS: Data from objectively audited advertisement data from 106 convenience stores and gas stations around 42 middle and high schools located in the four major metropolitan areas of Texas were linked with schools' enrollment data. ArcGIS (Aeronautical Reconnaissance Coverage Geographic Information System) was used to simulate a 1000-ft ban of tobacco sales around the schools. Independent sample T-tests and Mann-Whitney U tests were used to test mean differences where appropriate. RESULTS: Schools with a higher enrollment of Hispanic/Latino (mean = 171.6, SD = 96.9) and economically disadvantaged students (mean = 168.9, SD = 102.3) were surrounded with significantly greater advertising at TROs than schools with lower enrollment of these groups (mean = 82.8, SD = 49.1 and mean = 89.2, SD = 50.6, respectively). A simulated 1000 ft ban of TROs around schools led to greater advertising reduction around schools with a higher enrollment of Hispanic/Latino students (13.3%-29.4% reductions) in comparison to schools with lower Hispanic/Latino student enrollment. However, the more economically disadvantaged schools had a smaller reduction in the number of advertisements (5.9%-21.9% reductions) in comparison to schools with less economically disadvantaged students. CONCLUSION: The implementation of a ban of tobacco sales at TROs within 1000 ft of schools is one policy approach to reduce youth exposure to tobacco marketing, particularly among students of color. STUDY IMPLICATION: Tobacco retail outlets (TROs) around schools with a higher enrollment of Hispanic/Latino and economically disadvantaged students had significantly more tobacco advertisements in comparison to schools with lower enrollment of these student groups. A simulated ban of TROs within 1000 ft of schools led to greater advertising reduction around schools with a higher enrollment of Hispanic/Latino students. For schools with more economically disadvantaged students, the ban led to a smaller reduction in advertisements in comparison to schools with less economically disadvantaged students. This proposed place-based strategy could be a successful means to reduce tobacco advertising and marketing disparity among communities of color.

A Simulation of the potential impact of restricting tobacco retail outlets around middle and high schools on tobacco advertisements.

OBJECTIVE: To examine (1) if tobacco retail outlets (TROs) closer to middle and high schools have more tobacco advertisements than TROs farther away and (2) the potential impact of two place-based tobacco control strategies on tobacco advertisements: a simulated ban of TROs (1) within 1000ft of schools and (2) within 500 ft of other TROs. METHODS: TROs within half-mile of 53 middle and high schools in the four largest Metropolitan areas in Texas were audited for all tobacco marketing. ArcGIS was used for mapping and grouping TROs by distance from the schools and simulating the ban. Mean differences in the number of tobacco advertisements were examined with t-tests. Percentage reductions in tobacco advertisements were calculated after simulation of both bans, reported by school type and by location, product and flavour. RESULTS: TROs within 1000 ft of schools had significantly more tobacco advertisements as compared with TROs located within 1000-2000 ft (p=0.03) for all schools combined and middle schools. Simulation of the 1000 ft ban of TROs led to a slightly greater reduction in advertisements (19.4%) as compared with the 500 ft ban of TROs from other TROs (17.9%). The reduction in all advertisement types was greater around middle schools and greatest for e-cigarettes (23.6%). CONCLUSION: Students can be exposed to a great deal of tobacco advertising in TROs around their schools. The implementation of a 1000 ft ban of TROs, or at minimum a ban on tobacco advertising outside and within these outlets, is one way to prevent or reduce the use of tobacco among adolescents.

Comparing Risk Factors for Past 30-day E-cigarette and Combustible Tobacco Use: A Longitudinal Analysis of the Texas Adolescent Tobacco and Marketing Surveillance Study (2014-2017).

Significance: Youth use of e-cigarettes is reaching 'epidemic proportions,' even as combustible tobacco use is declining. Comparison of risk factors that are uniquely associated with e-cigarette and combustible tobacco use among adolescents is warranted. Methods: Six waves of data from the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) study (n=3907; N=461,069; 2014-2017) were used in this analysis. A random intercept logistic regression model was used to compare intrapersonal, interpersonal, and environmental risk factors for use of both products based on the Social Ecological Model. Results: Risk factors that were significantly associated with both past 30-day use of e-cigarette and combustible tobacco products over time included past 30-day use of marijuana and alcohol, social acceptability of product use, having friends and family members who used the products, and male gender. Increasing age, worse academic performance, higher sensation seeking score, higher recall of social media promotion in the past 30 days, and lower positive affect score were associated with past 30-day use of combustible tobacco only. White race was associated with past-30 day use of e-cigarettes only. Conclusion: Involving peers and parents in preventive interventions designed to reduce uptake of these products is paramount, as is the need to address other substance use, like alcohol and marijuana. Efforts should also be made to create a social climate that makes tobacco use (e-cigarettes and combustible products) less acceptable and desirable.

Predictors of JUUL, other electronic nicotine delivery systems, and combustible tobacco initiation among Texas youth.

The objectives of this study were to 1) examine longitudinal predictors of JUUL and other tobacco product initiation, 2) compare these predictors across product type, and 3) describe cross-sectional characteristics of JUUL initiators, among a cohort of Texas adolescents. Analyses were also stratified to examine whether predictors of initiation differed by susceptibility to tobacco use at baseline. This study utilized data from Waves 7 and 8 (Fall 2017 and Spring 2018) of the Texas Adolescent Tobacco and Marketing Surveillance System (n = 2272). Chi-square tests and multinomial logistic regressions were conducted to examine differences in predictors of initiation. Among those who initiated at Wave 8 (n=107), 40.2% initiated JUUL, 43.9% initiated other ENDS, and 15.9% initiated other combustible tobacco. For the full sample, ever marijuana use predicted the initiation of all tobacco products (Relative Risk Ratios "RRRs" from 2.31-4.13) as compared to non-users. For non-susceptible youth, ever marijuana use significantly predicted the initiation of JUUL (RRR = 10.08, 95% CI = 2.11-48.17) and other ENDS use (RRR = 12.07, 95% CI = 2.97-49.04). Peer tobacco use predicted the initiation of JUUL (RRR = 3.06, 95% CI = 1.38-6.81) and other ENDS use (RRR = 5.36, 95% CI = 2.11-13.64) for the full sample, as well as those who were susceptible to tobacco use. For non-susceptible youth, peer tobacco use predicted the initiation of combustible tobacco use (RRR = 16.56, 95% CI = 1.56-175.84). Prominent reasons for JUUL use included curiosity, friend use, and less harmful that cigarettes. Results highlight the role of marijuana in the initiation of all tobacco products, even among low-risk youth; other predictors varied between product type. Interventions should address specific predictors to prevent youth from transitioning to tobacco use.

Multilevel Variation in Diabetes Screening Within an Integrated Health System.

OBJECTIVE: Variation in diabetes screening in clinical practice is poorly described. We examined the interplay of patient, provider, and clinic factors explaining variation in diabetes screening within an integrated health care system in the U.S. RESEARCH DESIGN AND METHODS: We conducted a retrospective cohort study of primary care patients aged 18-64 years with two or more outpatient visits between 2010 and 2015 and no diagnosis of diabetes according to electronic health record (EHR) data. Hierarchical three-level models were used to evaluate multilevel variation in screening at the patient, provider, and clinic levels across 12 clinics. Diabetes screening was defined by a resulted gold standard screening test. RESULTS: Of 56,818 patients, 70% completed diabetes screening with a nearly twofold variation across clinics (51-92%; P < 0.001). Of those meeting American Diabetes Association (ADA) (69%) and U.S. Preventive Services Task Force (USPSTF) (36%) screening criteria, three-quarters were screened with a nearly twofold variation across clinics (ADA 53-92%; USPSTF 49-93%). The yield of ADA and USPSTF screening was similar for diabetes (11% vs. 9%) and prediabetes (38% vs. 36%). Nearly 70% of patients not eligible for guideline-based screening were also tested. The USPSTF guideline missed more cases of diabetes (6% vs. 3%) and prediabetes (26% vs. 19%) than the ADA guideline. After adjustment for patient, provider, and clinic factors and accounting for clustering, twofold variation in screening by provider and clinic remained (median odds ratio 1.97; intraclass correlation 0.13). CONCLUSIONS: Screening practices vary widely and are only partially explained by patient, provider, and clinic factors available in the EHR. Clinical decision support and system-level interventions are needed to optimize screening practices.

Youth or Young Adults: Which Group Is at Highest Risk for Tobacco Use Onset?

PURPOSE: Historically, adolescence has been regarded as the time when most tobacco use initiation occurs. This study examines the initiation of tobacco product use, including cigarettes, e-cigarettes, cigar products, and hookah, among contemporary youth and young adults, to determine whether the developmental timing (youth vs. young adulthood) of initiation has changed. METHODS: Three cohort studies were used to examine the onset of ever use and current (past 30 days) use of each tobacco product among never-using youth (11 to <17 years) and young adults (18-24 years) at baseline (2013-2015) to one-year follow-up (2015-2016). These studies include the national Population Assessment of Tobacco and Health Study, and two Texas cohort studies, the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS), and the Marketing and Promotions Across Colleges in Texas (M-PACT) project. Estimations of onset were computed using generalized linear mixed models for TATAMS and M-PACT. The rates of initiation in Population Assessment of Tobacco and Health Study were compared to standardized incidence rates from TATAMS to M-PACT. RESULTS: Young adults had significantly higher incidence rates than youth to initiate ever and current use of each/all tobacco products for all comparisons. CONCLUSIONS: These findings extend prior research on the timing of the onset of tobacco use by using longitudinal analyses from three contemporary cohort studies to include not just cigarettes, but also e-cigarettes, cigar products, and hookah. Among those who were never-users of tobacco products, young adults began to ever and currently use all tobacco products more than youth in these samples, a marked departure from prior decades of research.

Geospatial Associations Between Tobacco Retail Outlets and Current Use of Cigarettes and e-Cigarettes among Youths in Texas.

INTRODUCTION: To identify the geospatial association between the presence of tobacco retail outlets (TRO) around schools' neighborhoods, and current use of cigarettes and e-cigarettes among adolescents in four counties in Texas. METHODS: Students in grades 6, 8 and 10th were surveyed in their schools in 2014-2015. The schools' addresses was geocoded to determine the presence of at least one TRO within half a mile of the school. Two outcomes were considered: past 30-day use of (a) cigarettes and (b) e-cigarettes. Bayesian structured additive regression models and Kriging methods were used to estimate the geospatial associations between the presence of TRO and use in three counties: Dallas/Tarrant, Harris, and Travis. RESULTS: We observed a geospatial association between the presence of TRO around the schools and current use of cigarettes in the eastern area of Dallas County and in the southeastern area of Harris County. Also, a geospatial association between the presence of TRO around the schools and current use of e-cigarettes was observed in the entire Tarrant County and in the northeastern area of Harris County. CONCLUSIONS: There were geospatial associations between the presence of TRO around some schools and cigarette/e-cigarette use among students, but this association was not consistent across all the counties. More research is needed to determine why some areas are at higher risk for this association.