Additive impact of multiple point-of-sale tobacco control policies on youth tobacco-related outcomes.

Objectives: The tobacco industry utilizes tactics to increase youth awareness, exposure, access and use of tobacco. To address these tactics, municipalities in Massachusetts have passed point-of-sale policies including: 1) restricting flavored tobacco (FTR), 2) restricting cigar package sizes and prices (CPPR), 3) banning tobacco in pharmacies (PB), and 4) raising the minimum legal sales age of tobacco to 21 (MLSA 21). This study evaluated whether more policies, and a combination of policies addressing all three industry tactics, are associated with more favorable youth tobacco-related outcomes. Study design: This study was a cross-sectional survey. Methods: Municipalities were selected based on number of policies and similarity of municipality and tobacco retailer characteristics. The final sample included: Somerville with all four policies, Worcester with two policies (MLSA 21 and PB), and New Bedford with one policy (PB). Surveys were administered to youth in a public high school in each municipality. Multivariable models were used to compare tobacco-related outcomes between municipalities with varying numbers of policies. Results: After adjusting for individual-level demographics, we observed a protective effect of having more policies on flavored tobacco initiation and tobacco exposure and awareness. A protective effect of number of policies on tobacco use was not found, but associations were primarily in the expected direction. Current tobacco users in Somerville had higher odds of menthol use compared to New Bedford. Conclusions: Implementing multiple policies addressing varied industry tactics may be effective for youth tobacco prevention. Including menthol in FTRs may help improve youth tobacco-related outcomes.

Comparative effectiveness of individual versus family-based substance use treatment on adolescent self-injurious thoughts and behaviors.

INTRODUCTION: Self-injurious thoughts and behaviors (SITB) are of increasing concern among adolescents, especially those who use substances. Some evidence suggests that existing evidence-based substance use treatments (EBTs) could impact not only their intended substance use targets but also SITB. However, which types of substance use treatments may have the greatest impact on youth SITB is not yet clear. Based on prior literature showing that family support and connection may buffer youth from SITB, we initially hypothesized that family-based EBTs would show greater improvement in SITB compared to those receiving individually focused EBTs and that the size of the effects would be small given the comparison between two active, evidence-based interventions, and base rates of SITB. METHODS: In a sample of 2893 youth in substance use treatment, we compared the effectiveness of individually and family-based EBTs in reducing SITBs. The study used entropy balancing and regression modeling to balance the groups on pre-treatment characteristics and examine change in outcomes over a one-year follow-up period. RESULTS: Both groups improved in self-injury and suicide attempts over the one-year study period, but only youth in individual treatment improved in suicidal ideation. However, the study found no significant difference between the changes over time in the two groups for any outcome. As expected, effect sizes were small and power was constrained in this study given the rarity of the outcomes, but effect sizes are similar to those observed with substance use outcomes. CONCLUSIONS: The results provide important exploratory evidence on the potential relative effectiveness of these two treatments for SITBs. This study supports prior findings that EBTs for youth substance use may help to improve SITB and suggests that different treatment formats (individual or family-based) could result in different benefits for SITB outcomes.

The Affordable Care Act Medicaid Expansion, Social Disadvantage, and the Practice Location Choices of New General Internists.

BACKGROUND: A recent study found that states that expanded Medicaid under the Affordable Care Act (ACA) gained new general internists who were establishing their first practices, whereas nonexpansion states lost them. OBJECTIVE: The objective of this study was to examine the level of social disadvantage of the areas of expansion states that gained new physicians and the areas of nonexpansion states that lost them. RESEARCH DESIGN: We used American Community Survey data to classify commuting zones as high, medium, or low social disadvantage. Using 2009-2019 data from the AMA Physician Masterfile and information on states' Medicaid expansion status, we estimated conditional logit models to compare where new physicians located during the 6 years following the expansion to where they located during the 5 years preceding the expansion. SUBJECTS: A total of 32,102 new general internists. RESULTS: Compared with preexpansion patterns, new general internists were more likely to locate in expansion states after the expansion, a finding that held for high, medium, and low disadvantage areas. We estimated that, between 2014 and 2019, nonexpansion states lost 371 new general internists (95% confidence interval, 203-540) to expansion states. However, 62.5% of the physicians lost by nonexpansion states were lost from high disadvantage areas even though these areas only accounted for 17.9% of the population of nonexpansion states. CONCLUSIONS: States that opted not to expand Medicaid lost new general internists to expansion states. A highly disproportionate share of the physicians lost by nonexpansion states were lost from high disadvantage areas, potentially compromising access for all residents irrespective of insurance coverage.

Longer-Term Impact of the Flavored Tobacco Restriction in Two Massachusetts Communities: A Mixed-Methods Study.

INTRODUCTION: In response to high rates of youth tobacco use, many states and localities are considering regulations on flavored tobacco products. The purpose of this study was to assess whether flavored tobacco restrictions (FTRs) in Massachusetts curb youth tobacco use over time and whether a dose-response effect of length of policy implementation on tobacco-related outcomes exists. AIMS AND METHODS: Using a quasiexperimental design, two municipalities with a FTR (adopting municipalities) were matched to a comparison municipality without a FTR. Surveys were administered before (December 2015) and after (January and February 2018) policy implementation to high school students in these municipalities (more than 2000 surveys completed at both timepoints). At follow-up, adopting municipalities had a policy in place for 1 and 2 years, respectively. In 2019, focus groups were conducted with high school students in each municipality. RESULTS: Increases seen in current tobacco use from baseline to follow-up were significantly smaller in adopting municipalities compared to the comparison (-9.4% [-14.2%, -4.6%] and -6.3% [-10.8%, -1.8%], respectively). However, policy impact was greater in one adopting municipality despite shorter length of implementation. Focus groups indicated reasons for differential impact, including proximity to localities without FTRs. CONCLUSIONS: Restrictions implemented in adopting municipalities had positive impacts on youth tobacco awareness and use 1-2 years postimplementation. Policy impact varies depending on remaining points of access to flavored tobacco, as such policy effectiveness may increase as more localities restrict these products. IMPLICATIONS: In response to high rates of youth flavored tobacco use (including flavored vape products), federal, state, and localities have passed FTRs that reduce availability of flavored tobacco in youth-accessible stores. Previous research has found that FTRs may curb youth tobacco use in the short-term; however, the long-term effectiveness remains unknown.This is the first study to show FTRs can curb youth tobacco use and reduce youth awareness of tobacco prices and brands even 2 years after policy passage. Municipality-specific factors, including proximity to localities without FTRs, may attenuate policy impact, highlighting the importance of widespread policy adoption.

Effects of the Affordable Care Act Medicaid Expansion on the Distribution of New General Internists Across States.

BACKGROUND: Some states expanded Medicaid under the Affordable Care Act, boosting their low-income residents' demand for health care, while other states opted not to expand. OBJECTIVE: The objective of this study was to determine whether the Medicaid expansion influenced the states selected by physicians just completing graduate medical education for establishing their first practices. RESEARCH DESIGN: Using 2009-2019 data from the American Medical Association Physician Masterfile and information on states' Medicaid expansion status, we estimated conditional logit models to compare where new physicians located during the 6 years following implementation of the expansion to where they located during the 5 years preceding implementation. SUBJECTS: The sample consisted of 160,842 physicians in 8 specialty groups. RESULTS: Thirty-three states and the District of Columbia expanded Medicaid by the end of the study period. Compared with preexpansion patterns, we found that physicians in one specialty group-general internal medicine-were increasingly likely to locate in expansion states with time after the expansion. The Medicaid expansion influenced the practice location choices of men and international medical graduates in general internal medicine; women and United States medical graduates did not alter their preexpansion location patterns. Simulations estimated that, between 2014 and 2019, nonexpansion states lost 310 general internists (95% confidence interval, 156-464) to expansion states. CONCLUSIONS: The Medicaid expansion influenced the practice location choices of new general internists. States that opted not to expand Medicaid under the Affordable Care Act lost general internists to expansion states, potentially affecting access to care for all their residents irrespective of insurance coverage.

Assessment of Variation in Electronic Health Record Capabilities and Reported Clinical Quality Performance in Ambulatory Care Clinics, 2014-2017.

Importance: Electronic health records (EHRs) are widely promoted to improve the quality of health care, but information about the association of multifunctional EHRs with broad measures of quality in ambulatory settings is scarce. Objective: To assess the association between EHRs with different degrees of capabilities and publicly reported ambulatory quality measures in at least 3 clinical domains of care. Design, Setting, and Participants: This cross-sectional and longitudinal study was conducted using survey responses from 1141 ambulatory clinics in Minnesota, Washington, and Wisconsin affiliated with a health system that responded to the Healthcare Information and Management Systems Society Annual Survey and reported performance measures in 2014 to 2017. Statistical analysis was performed from July 10, 2019, through February 26, 2021. Main Outcomes and Measures: A composite measure of EHR capability that considered 50 EHR capabilities in 7 functional domains, grouped into the following ordered categories: no functional EHR, EHR underuser, EHR, neither underuser or superuser, EHR superuser; as well as a standardized composite of ambulatory clinical performance measures that included 3 to 25 individual measures (median, 13 individual measures). Results: In 2014, 381 of 746 clinics (51%) were EHR superusers; this proportion increased in each subsequent year (457 of 846 clinics [54%] in 2015, 510 of 881 clinics [58%] in 2016, and 566 of 932 clinics [61%] in 2017). In each cross-sectional analysis year, EHR superusers had better clinical quality performance than other clinics (adjusted difference in score: 0.39 [95% CI, 0.12-0.65] in 2014; 0.29 [95% CI, -0.01 to 0.59] in 2015; 0.26 [95% CI, -0.05 to 0.56] in 2016; and 0.20 [95% CI, -0.04 to 0.45] in 2017). This difference in scores translates into an approximately 9% difference in a clinic's rank order in clinical quality. In longitudinal analyses, clinics that progressed to EHR superuser status had only slightly better gains in clinical quality between 2014 and 2017 compared with the gains in clinical quality of clinics that were static in terms of their EHR status (0.10 [95% CI, -0.13 to 0.32]). In an exploratory analysis, different types of EHR capability progressions had different degrees of associated improvements in ambulatory clinical quality (eg, progression from no functional EHR to a status short of superuser, 0.06 [95% CI, -0.40 to 0.52]; progression from EHR underuser to EHR superuser, 0.18 [95% CI, -0.14 to 0.50]). Conclusions and Relevance: Between 2014 and 2017, ambulatory clinics in Minnesota, Washington, and Wisconsin with EHRs having greater capabilities had better composite measures of clinical quality than other clinics, but clinics that gained EHR capabilities during this time had smaller increases in clinical quality that were not statistically significant.

A Decomposition Method to Assess the Contributions of Geographic and Nongeographic Factors to White-Black Disparities in Health Care.

BACKGROUND: Black-white gaps in high-quality hospital use are documented, but the relative contributions of various factors are unclear. The objective of this study was to quantify the contributions of differences in geographic and nongeographic factors to the gap, using decomposition methods and data for coronary heart disease. RESEARCH DESIGN: We identified white and black fee-for-service beneficiaries aged 65 or older who were hospitalized for acute myocardial infarction (AMI) or coronary artery bypass grafting (CABG) surgery during 2009-2011. We categorized hospitals with AMI mortality rates in the lowest quintile as high-quality hospitals. We first decomposed the white-black gap in high-quality hospital use into a component due to racial differences in region of residence and a within-region component. We then decomposed the within-region differences into contributions due to racial differences in geographic proximity to high-quality hospitals and due to nongeographic factors. RESULTS: The white-black gap in high-quality hospital use was smaller for AMI than for CABG (1.7 percentage points vs. 7.5 percentage points). For AMI, region of residence contributed more to the gap than within-region differences (1.0 percentage point vs. 0.6 percentage points), while for CABG, within-region differences prevailed (2.0 percentage points vs. 5.4 percentage points). For both conditions, the within-region white-black difference in high-quality hospital use was mainly driven by nongeographic factors. CONCLUSIONS: Decomposition methods are a useful tool in quantifying the contributions of various factors to the white-black gap in high-quality hospital use and could inform local policy aimed at reducing disparities in hospital quality.

Contributions of Geography and Nongeographic Factors to the White-Black Gap in Hospital Quality for Coronary Heart Disease: A Decomposition Analysis.

Background Differences in hospital proximity and nongeographic factors affect disparities in hospital quality for heart disease, but their relative contributions are unknown. The current study quantifies the influences of these factors on the white-black gap in high- and low-quality hospital use for acute myocardial infarction (AMI) and coronary artery bypass grafting (CABG) surgery. Methods and Results We used Medicare claims to identify fee-for-service Medicare beneficiaries aged 65 and older hospitalized during 2009-2011 with AMI (n=384 443) and CABG (n=71 411). Hospital quality was measured using publicly available AMI mortality rates. In national and regional analyses, we used conditional multinomial logit models to estimate the white-black gap in high- and low-quality hospital use and decompose the gap into geographic and nongeographic contributions. Overall, more whites used high-quality hospitals for both conditions (34.8% versus 32.4% for AMI; 39.0% versus 29.9% for CABG; P<0.001), but after accounting for distance to hospitals, the white-black gap was significant only for CABG (9.1%; P<0.001). The nongeographic component was significant for both conditions (3.4% for AMI and 7.7% for CABG; P<0.001) and accounted for nearly the entire gap for CABG. In contrast, hospital geographic proximity was not significant. In regional analyses, white beneficiaries had higher rates of high-quality hospital use in the Northeast (CABG) and South (AMI and CABG), whereas black had higher rates of high-quality hospital use in the Midwest (AMI). Conclusions White-black differences in high-quality hospital use were significant for CABG and related to nongeographic factors. Interventions should consider health system and contextual reasons for these disparities.

Short-Term Impact of a Flavored Tobacco Restriction: Changes in Youth Tobacco Use in a Massachusetts Community.

INTRODUCTION: To counter the high prevalence of flavored tobacco use among youth, many U.S. localities have passed policies that restrict youth access to these products. This study aims to evaluate the short-term impact of a flavored tobacco restriction policy on youth access to, and use of, flavored tobacco products in a Massachusetts community. METHODS: A community with the policy (Lowell) was matched to a community without the policy (Malden) with similar demographics, retailer characteristics, and point-of-sale tobacco policies. Product inventories were assessed in tobacco retailers in the 2 communities, and surveys were administered to high school-aged youth in those communities. Inventories and surveys were conducted around the time the policy took effect in October 2016 (baseline) and approximately 6 months later (follow-up); all data were analyzed in 2017. Chi-squared tests and difference-in-difference models were used to estimate the impact of the policy on flavored tobacco availability and youth perceptions and behaviors related to flavored tobacco use. RESULTS: Flavored tobacco availability decreased significantly in Lowell from baseline to follow-up periods by 70 percentage points (p<0.001), whereas no significant changes in flavored tobacco availability were seen in Malden. In addition, current use of both flavored and non-flavored tobacco decreased in Lowell, but increased in Malden from baseline to follow-up; these changes were significantly different between communities (flavored tobacco: -5.7%, p=0.03; non-flavored tobacco: -6.2%, p=0.01). CONCLUSIONS: Policies that restrict the sale of flavored tobacco have the potential to curb youth tobacco use in as few as 6 months.