Cancer Screening after the Adoption of Paid-Sick-Leave Mandates.

BACKGROUND: By the end of 2022, nearly 20 million workers in the United States have gained paid-sick-leave coverage from mandates that require employers to provide benefits to qualified workers, including paid time off for the use of preventive services. Although the lack of paid-sick-leave coverage may hinder access to preventive care, current evidence is insufficient to draw meaningful conclusions about its relationship to cancer screening. METHODS: We examined the association between paid-sick-leave mandates and screening for breast and colorectal cancers by comparing changes in 12- and 24-month rates of colorectal-cancer screening and mammography between workers residing in metropolitan statistical areas (MSAs) that have been affected by paid-sick-leave mandates (exposed MSAs) and workers residing in unexposed MSAs. The comparisons were conducted with the use of administrative medical-claims data for approximately 2 million private-sector employees from 2012 through 2019. RESULTS: Paid-sick-leave mandates were present in 61 MSAs in our sample. Screening rates were similar in the exposed and unexposed MSAs before mandate adoption. In the adjusted analysis, cancer-screening rates were higher among workers residing in exposed MSAs than among those in unexposed MSAs by 1.31 percentage points (95% confidence interval [CI], 0.28 to 2.34) for 12-month colorectal cancer screening, 1.56 percentage points (95% CI, 0.33 to 2.79) for 24-month colorectal cancer screening, 1.22 percentage points (95% CI, -0.20 to 2.64) for 12-month mammography, and 2.07 percentage points (95% CI, 0.15 to 3.99) for 24-month mammography. CONCLUSIONS: In a sample of private-sector workers in the United States, cancer-screening rates were higher among those residing in MSAs exposed to paid-sick-leave mandates than among those residing in unexposed MSAs. Our results suggest that a lack of paid-sick-leave coverage presents a barrier to cancer screening. (Funded by the National Cancer Institute.).

Ambulatory Care Fragmentation and Total Health Care Costs.

BACKGROUND: The magnitude of the relationship between ambulatory care fragmentation and subsequent total health care costs is unclear. OBJECTIVE: To determine the association between ambulatory care fragmentation and total health care costs. RESEARCH DESIGN: Longitudinal analysis of 15 years of data (2004-2018) from the national Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, linked to Medicare fee-for-service claims. SUBJECTS: A total of 13,680 Medicare beneficiaries who are 65 years and older. MEASURES: We measured ambulatory care fragmentation in each calendar year, defining high fragmentation as a reversed Bice-Boxerman Index ≥0.85 and low as <0.85. We used generalized linear models to determine the association between ambulatory care fragmentation in 1 year and total Medicare expenditures (costs) in the following year, adjusting for baseline demographic and clinical characteristics, a time-varying comorbidity index, and accounting for geographic variation in reimbursement and inflation. RESULTS: The average participant was 70.9 years old; approximately half (53%) were women. One-fourth (26%) of participants had high fragmentation in the first year of observation. Those participants had a median of 9 visits to 6 providers, with the most frequently seen provider accounting for 29% of visits. By contrast, participants with low fragmentation had a median of 8 visits to 3 providers, with the most frequently seen provider accounting for 50% of visits. High fragmentation was associated with $1085 more in total adjusted costs per person per year (95% CI $713 to $1457) than low fragmentation. CONCLUSIONS: Highly fragmented ambulatory care in 1 year is independently associated with higher total costs the following year.

Tobacco 21 Laws and Youth Tobacco Use: The Role of Policy Attributes.

Objectives. To estimate Tobacco-21 policies' relationships to 18- to 20 year-old youth cigarette, cigar, and electronic nicotine delivery system (ENDS) use, and to test for effect modification by policy attributes. Methods. In fall 2022, we used Tobacco 21 Population Coverage Database data to calculate the percentage of state residents covered by state or local Tobacco 21 (T21) laws monthly through June 2020. Matching T21 coverage to Population Assessment of Tobacco and Health and Behavioral Risk Factor Surveillance System data, we used 2-way fixed effect analyses to assess the relationship between T21 laws and 18- to 20-year-old youth cigarette, cigar, and ENDS use, and tested for differences by policy attributes: possession, use, or purchase (PUP) penalties, retailer noncompliance penalties, and compliance check requirements. Results. Increased T21 exposure yielded significant reductions in cigarette and cigar use, as well as in ENDS use, when accounting for policy attributes. These effects were dampened in T21 laws with PUP penalties relative to those without. Conclusions. Tobacco-21 laws yield reductions in 18- to 20-year-old youth cigarette, cigar, and ENDS use, with dampened effects when policies include PUP penalties. Public Health Implications. State policymakers should consider implementing T21 laws without PUP penalties to reduce underage nicotine and tobacco use. (Am J Public Health. 2024;114(1):90-97. https://doi.org/10.2105/AJPH.2023.307447).

Longitudinal Policy Surveillance of Private Insurance Hearing Aid Mandates in the United States: 1997-2022.

Objectives. To produce a database of private insurance hearing aid mandates in the United States and quantify the share of privately insured individuals covered by a mandate. Methods. We used health-related policy surveillance methods to create a database of private insurance hearing aid mandates through January 2023. We coded salient features of mandates and combined policy data with American Community Survey and Medicare Expenditure Panel Survey-Insurance Component data to estimate the share of privately insured US residents covered by a mandate from 2008 to 2022. Results. A total of 26 states and 1 territory had private insurance hearing aid mandates. We found variability for mandate exceptions, maximum age eligibility, allowable frequency of benefit use, and coverage amounts. Between 2008 and 2022 the proportion of privately insured youths (aged ≤ 18 years) living where there was a private insurance hearing aid mandate increased from 3.4% to 18.7% and the proportion of privately insured adults (19-64 years) increased from 0.3% to 4.6%. Conclusions. Hearing aid mandates cover a small share of US residents. Mandate exceptions in several states limit coverage, particularly for adults. Public Health Implications. A federal mandate would improve hearing aid access. States can also improve access by adopting exception-free mandates with limited utilization management and no age restrictions. (Am J Public Health. 2024;114(4):407-414. https://doi.org/10.2105/AJPH.2023.307551).

Medicaid reimbursement rates for primary care services and behavioral health outcomes.

We study the effects of changing Medicaid reimbursement rates for primary care services on behavioral health outcomes-defined here as mental illness and substance use disorders. Medicaid enrollees are at elevated risk for these, and other, chronic conditions and are likely to have unmet treatment needs. We apply two-way fixed-effects regressions to survey data specifically designed to measure behavioral health outcomes over the period 2010-2016. We find that higher primary care reimbursement rates reduce mental illness and substance use disorders among non-elderly adult Medicaid enrollees, although we interpret findings for substance use disorders with some caution as they may be vulnerable to differential pre-trends. Overall, our findings suggest positive spillovers from a policy designed to target primary care services to behavioral health outcomes.

Does paid sick leave encourage staying at home? Evidence from the United States during a pandemic.

We study the impact of a temporary U.S. paid sick leave mandate that became effective April 1st, 2020 on self-quarantining, proxied by physical mobility behaviors gleaned from cellular devices. We study this policy using generalized difference-in-differences methods, leveraging pre-policy county-level heterogeneity in the share of workers likely eligible for paid sick leave benefits. We find that the policy leads to increased self-quarantining as proxied by staying home. We also find that COVID-19 confirmed cases decline post-policy.

Standardising the measurement of e-cigarette taxes in the USA, 2010-2020.

INTRODUCTION: E-cigarette taxes have been enacted by 30 states through April 2020. E-cigarette tax schemas vary, in contrast to cigarette taxes in the USA that are levied almost exclusively as excise taxes per pack. Some states use excise taxes on liquid and containers, others ad valorem taxes on wholesale prices and others sales taxes. It is therefore difficult to understand the relative magnitudes of these e-cigarette taxes and the overall e-cigarette tax size relative to the cigarette tax size. OBJECTIVE: To create and publish a database of state and local quarterly e-cigarette taxes from 2010 to 2020, standardised as the rate per millilitre of fluid. METHODS: Using Universal Product Code-level e-cigarette sales from the NielsenIQ Retail Scanner Data along with e-cigarette product characteristics collected from internet searches and visits to e-cigarette retailers, we develop a method to standardise e-cigarette taxes as an equivalent average excise tax rate measured per millilitre of fluid. RESULTS: In 2020, the average American resided in a location with $3.08 in cigarette taxes and $0.34 in e-cigarette taxes (assuming 1 pack=0.7 fluid mL). CONCLUSIONS: The public availability of this state and local standardised e-cigarette tax data will allow tobacco control researchers to study the relationship between e-cigarette taxes and tobacco and related outcomes more effectively.

MRTP claim authorisation and General Snus sales in the USA: evidence from a difference-in-differences model.

BACKGROUND: The 2009 Tobacco Control Act granted the US Food and Drug Administration (FDA) regulatory authority over tobacco products, including the ability to authorise modified-risk tobacco product (MRTP) claims. In October 2019, the FDA authorised the first-ever MRTP claim for General Snus, which allowed the product to be marketed as reduced risk (relative to cigarettes). MRTP authorisation may increase otherwise low rates of snus use in the USA (<0.5% for children and adults). METHODS: Using 2017-2021 Nielsen sales data from 19 US states, we conducted a difference-in-differences analysis to determine whether logged unit sales of General Snus were affected by the MRTP authorisation, compared with (1) sales of other snus brands and (2) sales of non-snus smokeless products; we also examined (3) if sales of non-General Snus brands were affected by General Snus's MRTP authorisation, compared with sales of non-snus smokeless tobacco products. RESULTS: Although sales declined in absolute terms, sales of General Snus relative to other snus brands were unchanged after MRTP authorisation (-9.0%, 95% CI -19.6% to 1.60%, p=0.098). However, compared with non-snus smokeless brand sales, sales of General Snus (+14.7%, 95% CI 5.23% to 24.2%, p=0.002) rose after MRTP authorisation. Compared with non-snus smokeless products, sales of non-General Snus brands also rose after MRTP authorisation (+23.7%, 95% CI 9.5% to 38.0%, p=0.001). CONCLUSIONS: Although only General Snus received MRTP authorisation, this designation appears to have slowed declines for the entire snus category. This suggests consumers may make determinations regarding product risk to a product class rather than individual products.

Effect of e-cigarette taxes on e-cigarette and cigarette retail prices and sales, USA, 2014-2019.

OBJECTIVE: To use a standardised e-cigarette tax measure to examine the impact of e-cigarette taxes on the price and sales of e-cigarettes and cigarettes in the USA. DESIGN: We used State Line versions of NielsenIQ Retail Scanner data from quarter 4 of 2014 through quarter 4 of 2019 to calculate e-cigarette and cigarette prices and sales in 23 US states. We then estimated how these outcomes are associated with standardised state-level e-cigarette taxes, controlling for state fixed effects, quarter-by-year fixed effects, cigarette taxes, other tobacco control policies and other state-level time-varying characteristics. RESULTS: A real $1 increase in the e-cigarette standardised tax increases the price of 1 mL of e-liquid between $0.43 and $0.59 depending on specification. Controlling for fixed effects and cigarette taxes, a 10% increase in e-cigarette taxes is estimated to reduce e-cigarette sales by 0.5% and increase cigarette sales by 0.1%, though both results are attenuated and statistically insignificant in a model with full controls. CONCLUSIONS: Our study finds that e-cigarette taxes increase e-cigarette retail prices by approximately half of the tax. Further, e-cigarette taxes are associated with reduced sales of e-cigarettes and increased sales of cigarettes in some specifications. Our estimates are sizably lower than from other studies using sales and survey data.

The effect of e-cigarette taxes on prepregnancy and prenatal smoking.

E-cigarette taxes are an active area of legislation and have important regulatory implications by proxying e-cigarette accessibility. We examine the effect of e-cigarette taxes on prepregnancy and prenatal smoking using the near-universe of births to mothers conceiving between 2013 and 2019 in the United States. Using fixed effect regressions, we show that e-cigarette taxes increase prepregnancy and prenatal smoking. We also find evidence that e-cigarette taxes reduce prepregnancy and 3rd trimester e-cigarette use. Finally, we show that e-cigarette taxes increase news coverage of e-cigarettes and raise perceptions of risk of e-cigarettes.

Re-exploring the early relationship between teenage cigarette and e-cigarette use using price and tax changes.

In 2016, the Surgeon General used longitudinal cohort studies to conclude that youth e-cigarette use is strongly associated with cigarette use. We re-evaluate data from the period of time before the writing of the Surgeon General report, using quasi-experimental methods, and reach the opposite conclusion. We study contemporaneous and intertemporal effects of e-cigarette and cigarette price and tax changes. Our price variation comes from 35,000 retailers participating in the Nielsen Retail Scanner data system. We match price and tax variation to survey data on current use of e-cigarettes and cigarettes for over 94,000 students between grades 6 and 12 in the National Youth Tobacco Survey (NYTS) for years 2011-2015. We find evidence that e-cigarettes and cigarettes are same-period economic substitutes. Coefficient estimates (while imprecisely estimated) also suggest potentially large positive effects of past e-cigarette prices on current cigarette use, indicating intertemporal economic substitution. Our findings raise doubts about the conclusion of government-sponsored reports that e-cigarettes and cigarettes are strongly positively associated. We recommend revisiting and possibly amending this conclusion.

An analysis of cigarette sales during Poland's menthol cigarette sales ban: small effects with large policy implications.

BACKGROUND: In May 2020, the European Union Tobacco Products Directive mandated that EU member states, including Poland, ban the sale of menthol cigarettes. With menthol making up 28% of cigarette sales before the ban, Poland is the country with likely the largest menthol cigarette sales share in the world to ban their sale. We analyze how this ban changed the Polish tobacco market. METHODS: We use monthly NielsenIQ data (May 2018-April 2021) on sales of cigarettes and roll-your-own tobacco by menthol and standard flavor in eight regions of Poland. We set up a bite-style regression model controlling for pre-ban menthol share, climate, border opening status, and Apple movement data to estimate the effect of the May 2020 menthol ban. RESULTS: We find menthol cigarette sales fell at least 97% after the menthol cigarette ban across Poland and standard cigarette sales replaced them. Regression modeling indicates that total cigarette sales fell, after the ban, an average of 2.2 sticks per capita per month, equal to a 2.9% decline, however, results were not significant (P = 0.199). The bite component of our model reveals total cigarette sales did decline significantly in the regions with the highest pre-ban menthol sales shares. Roll-your-own tobacco sales increased by a statistically insignificant 0.03 stick-equivalents after the ban (P = 0.798). Product prices also fell in the wake of the menthol ban. CONCLUSIONS: In Poland, the EU state with the one of the largest pre-ban menthol shares, we find mixed evidence that the ban is working as intended.

Healthcare Fragmentation and Incident Acute Coronary Heart Disease Events: a Cohort Study.

BACKGROUND: Highly fragmented ambulatory care (i.e., care spread across many providers without a dominant provider) has been associated with excess tests, procedures, emergency department visits, and hospitalizations. Whether fragmented care is associated with worse health outcomes, or whether any association varies with health status, is unclear. OBJECTIVE: To determine whether fragmented care is associated with the risk of incident coronary heart disease (CHD) events, overall and stratified by self-rated general health. DESIGN AND PARTICIPANTS: We conducted a secondary analysis of the nationwide prospective Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study (2003-2016). We included participants who were ≥ 65 years old, had linked Medicare fee-for-service claims, and had no history of CHD (N = 10,556). MAIN MEASURES: We measured fragmentation with the reversed Bice-Boxerman Index. We used Cox proportional hazards models to determine the association between fragmentation as a time-varying exposure and adjudicated incident CHD events in the 3 months following each exposure period. KEY RESULTS: The mean age was 70 years; 57% were women, and 34% were African-American. Over 11.8 years of follow-up, 569 participants had CHD events. Overall, the adjusted hazard ratio (HR) for the association between high fragmentation and incident CHD events was 1.14 (95% confidence interval (CI) 0.92, 1.39). Among those with very good or good self-rated health, high fragmentation was associated with an increased hazard of CHD events (adjusted HR 1.35; 95% CI 1.06, 1.73; p = 0.01). Among those with fair or poor self-rated health, high fragmentation was associated with a trend toward a decreased hazard of CHD events (adjusted HR 0.54; 95% CI 0.29, 1.01; p = 0.052). There was no association among those with excellent self-rated health. CONCLUSION: High fragmentation was associated with an increased independent risk of incident CHD events among those with very good or good self-rated health.

Association Between Patients' Self-Reported Gaps in Care Coordination and Preventable Adverse Outcomes: a Cross-Sectional Survey.

BACKGROUND: Whether patients' reports of gaps in care coordination reflect clinically significant problems is unclear. OBJECTIVE: To determine any association between patient-reported gaps in care coordination and patient-reported preventable adverse outcomes. DESIGN AND PARTICIPANTS: We administered a cross-sectional survey on experiences with healthcare to participants in the national Reasons for Geographic and Racial Differences in Stroke (REGARDS) study who were ≥ 65 years old. Of the 15,817 participants in REGARDS at the time of our survey (August 2017-November 2018), 11,138 completed the survey. We restricted the sample to participants who reported ≥ 2 ambulatory visits and ≥ 2 ambulatory providers in the past year (N = 7568). MAIN MEASURES: We considered 7 gaps in ambulatory care coordination, elicited with previously validated questions. We considered 4 outcomes: (1) a test that was repeated because the doctor did not have the result of the first test, (2) a drug-drug interaction that occurred due to multiple prescribers, (3) an emergency department visit that could have been prevented by better communication among providers, and (4) a hospital admission that could have been prevented by better communication among providers. We used logistic regression to determine the association between ≥ 1 gap in care coordination and ≥ 1 preventable outcome, adjusting for potential confounders. KEY RESULTS: The average age of the sample was 77.0 years; 55% were female, and 34% were African-American. More than one-third of participants (38.1%) reported ≥ 1 gap in care coordination and nearly one-tenth (9.8%) reported ≥ 1 preventable outcome. Having ≥ 1 gap in care coordination was associated with an increased odds of ≥ 1 preventable outcome (adjusted odds ratio 1.55; 95% confidence interval 1.33, 1.81). CONCLUSIONS: Participants' reports of gaps in care coordination were associated with an increased odds of preventable adverse outcomes. Future interventions should leverage patients' observations to detect and resolve gaps in care coordination.

Mostly harmless regulation? Electronic cigarettes, public policy, and consumer welfare.

Electronic cigarettes are a less harmful alternative to combustible cigarettes. We analyze data on e-cigarette choices in an online experimental market. Our data and mixed logit model capture two sources of consumer optimization errors: overestimates of the relative risks of e-cigarettes and present bias. Our novel data and policy analysis make three contributions. First, our predictions about e-cigarette use under counterfactual policy scenarios provide new information about current regulatory tradeoffs. Second, we provide empirical evidence about the role consumer optimization errors play in tobacco product choices. Third, we contribute to behavioral welfare analysis of policies that address individual optimization errors. Compared with standard cost-benefit analysis, our behavioral welfare economics analysis leads to much larger estimates of the costs of policies that discourage e-cigarette use or the benefits of policies that encourage e-cigarette use.

Integrated care models and behavioral health care utilization: Quasi-experimental evidence from Medicaid health homes.

Integration of behavioral and general medical care can improve outcomes for individuals with behavioral health conditions-serious mental illness (SMI) and substance use disorder (SUD). However, behavioral health care has historically been segregated from general medical care in many countries. We provide the first population-level evidence on the effects of Medicaid health homes (HH) on behavioral health care service use. Medicaid, a public insurance program in the United States, HHs were created under the 2010 Affordable Care Act to coordinate behavioral and general medical care for enrollees with behavioral health conditions. As of 2016, 16 states had adopted an HH for enrollees with SMI and/or SUD. We use data from the National Survey on Drug Use and Health over the period 2010 to 2016 coupled with a two-way fixed-effects model to estimate HH effects on behavioral health care utilization. We find that HH adoption increases service use among enrollees, although mental health care treatment findings are sensitive to specification. Further, enrollee self-reported health improves post-HH.

The effects of e-cigarette minimum legal sale age laws on youth substance use.

We use difference-in-differences models and individual-level data from the national and state Youth Risk Behavior Surveillance System from 2005 to 2015 to examine the effects of e-cigarette minimum legal sale age (MLSA) laws on youth cigarette smoking, alcohol consumption, and marijuana use. Our results suggest that these laws increased youth smoking participation by about one percentage point and approximately half of the increased smoking participation could be attributed to smoking initiation. We find little evidence of higher cigarette smoking persisting beyond the point at which youth age out of the laws. Our results also show little effect of the laws on youth drinking, binge drinking, and marijuana use. Taking these together, our findings suggest a possible unintended effect of e-cigarette MLSA laws-rising cigarette use in the short term while youth are restricted from purchasing e-cigarettes.

Effect of the Medicaid Primary Care Rate Increase on Prenatal Care Utilization Among Medicaid-Insured Women.

OBJECTIVE: To evaluate the effect of the 2013-2014 ACA Medicaid Primary Care Rate Increase on Medicaid-insured women's prenatal care utilization, overall and by race and ethnicity. METHODS: We employed a difference-in-differences design, using births data from the 2010-2014 National Vital Statistics System. Our study population included approximately 6.2 million births to Medicaid insured mothers conceived between April 2009 and March 2014. Our treatment group was births in states with large (relative to small) fee bump, defined as having Medicaid-to-Medicare fee ratio below the median of all states (0.7) in 2012. Our control group was births in states with a small fee bump. Prenatal care utilization measures included initiation of prenatal care in the first trimester and number of prenatal care visits. RESULTS: Non-Hispanic Black women giving births in large fee bump states had 9% higher odds (95% CI 1.02, 1.17) of initiating prenatal care in the first trimester during the fee bump period, compared to small fee bump states. Prenatal care visits in this group also increased by 0.24 (95% CI 0.10, 0.39), 2.4% of the mean. A smaller increase in prenatal care visits of 0.17 (95% CI 0.00, 0.33) was found among non-Hispanic Whites. The fee bump had no impact among Hispanics or non-Hispanic women of other races. CONCLUSIONS FOR PRACTICE: The Medicaid "fee bump" improved prenatal care utilization for non-Hispanic Black and White women. Policymakers may consider reinstating higher Medicaid reimbursements to improve access to care for disadvantaged populations.

An evaluation of national birth certificate data for neonatal seizure epidemiology.

OBJECTIVE: Seizures are a common manifestation of neurologic dysfunction in neonates and carry a high risk for mortality and adverse long-term outcomes. U.S. birth certificates are a potentially valuable source for studying the epidemiology of neonatal seizures. However, the quality of the data is understudied. METHODS: We reviewed all U.S. birth records from 2003 to 2013 to describe the following: (1) rates of missing data, (2) evidence of underreporting, and (3) effect of the 2003 revision of the birth certificate form. We evaluated missingness by state, year, demographic, infant health, and medical care factors using bivariate analyses. To measure potential underreporting, we compared estimates to a published reference (0.95 per 1,000 term births). We developed criteria for data plausibility, and reported which states met these criteria. RESULTS: Of 22,834,395 live term births (≥36 weeks of gestation) recorded using the revised form from 2005 to 2015, there were 5,875 with neonatal seizures, suggesting an incidence of 0.26 per 1,000 term births, one fourth of the expected incidence. Although the overall degree of missing seizure data was low (0.5%), missingness varied significantly by state, year, demographic, infant health, and medical care factors. After the 2003 birth certificate form revision, missing data and evidence of potential underreporting increased. Nine states met criteria for plausibility. SIGNIFICANCE: The value of U.S. birth certificate data for neonatal seizure epidemiology is limited by biased missingness, evidence suggestive of underreporting, and changes in reporting subsequent to the 2003 revision. There are plausible data from nine states, which merit investigation for further research.