Tobacco Cessation in Affordable Care Act Medicaid Expansion States Versus Non-expansion States

State Medicaid Coverage for Tobacco Cessation Treatments and Barriers to Accessing Treatments - United States, 2018-2022

The prevalence of cigarette smoking among U.S. adults enrolled in Medicaid is higher than among adults with private insurance; more than one in five adults enrolled in Medicaid smokes cigarettes. Smoking cessation reduces the risk for smoking-related disease and death. Effective treatments for smoking cessation are available, and comprehensive, barrier-free insurance coverage of these treatments can increase cessation. However, Medicaid treatment coverage and treatment access barriers vary by state. The American Lung Association collected and analyzed state-level information regarding coverage for nine tobacco cessation treatments and seven access barriers for standard Medicaid enrollees. As of December 31, 2022, a total of 20 state Medicaid programs provided comprehensive coverage (all nine treatments), an increase from 15 as of December 31, 2018. Only three states had zero access barriers, an increase from two; all three also had comprehensive coverage. Although states continue to improve smoking cessation treatment coverage and decrease access barriers for standard Medicaid enrollees, coverage gaps and access barriers remain in many states. State Medicaid programs can improve the health of enrollees who smoke and potentially reduce health care expenditures by providing barrier-free coverage of all evidence-based cessation treatments and by promoting this coverage to enrollees and providers.

Examining Racial/Ethnic Disparities in Tobacco Dependence Treatment Among Medicaid Beneficiaries Using Fifty State Medicaid Claims, 2009-2014

In the USA, low-income racial/ethnic minority groups experience higher smoking rates and greater smoking-related disease burden than their White counterparts. Despite the adverse effects, racial/ethnic minorities are less likely to access tobacco dependence treatment (TDT). Medicaid is one of the largest payers of TDT in the USA and covers predominantly low-income populations. The extent of TDT use among beneficiaries from distinct racial/ethnic groups is unknown. The objective is to estimate racial/ethnic differences in TDT use among Medicaid fee-for-service beneficiaries. Using a retrospective study design and 50 state (including the District of Columbia) Medicaid claims (2009-2014), we employed multivariable logistic regression models and predictive margin methods to estimate TDT use rates among adults (18-64) enrolled (≥ 11 months) in Medicaid fee-for-service programs (January 2009-December 2014) by race/ethnicity. The population included White (n = 6,536,004), Black (n = 3,352,983), Latinx (n = 2,264,647), Asian (n = 451,448), and Native American/Alaskan Native (n = 206,472) beneficiaries. Dichotomous outcomes reflected service use in the past year. Any TDT use was operationalized as any smoking cessation medication fill, any smoking cessation counseling visit, or any smoking cessation outpatient visit. In secondary analyses, we disaggregated TDT use into three separate outcomes. Results suggested that Black (10.6%; 95% CI = 9.9-11.4%), Latinx (9.5%; 95% CI = 8.9-10.2%), Asian (3.7%; 95% CI = 3.4-4.1%), and Native American/Alaskan Native (13.7%; 95% CI = 12.7-14.7%) beneficiaries had lower TDT use rates compared to White beneficiaries (20.6%). Similar racial/ethnic treatment disparities were identified across all outcomes. By identifying significant racial/ethnic disparities in TDT use between 2009 and 2014, this study provides a benchmark against which to measure recent interventions in state Medicaid programs improving equity in smoking cessation interventions.

Declining trend in cigarette smoking among U.S. adults over 2008-2018: A decomposition analysis

The United States (U.S.) witnessed considerable reduction in cigarette smoking prevalence in the recent past. While the correlates of smoking prevalence and related disparities among U.S. adults are well documented, there is limited information on how this success was shared among different population sub-groups. Based on data from the National Health Interview Surveys, 2008 and 2018, representative of non-institutionalized U.S. adults (18 years and above), we applied the threefold Kitawaga-Oaxaca-Blinder linear decomposition analysis. We decomposed the trends in cigarette smoking prevalence, smoking initiation, and successful cessation into changes in population characteristics holding smoking propensities constant (compositional change), changes in smoking propensities by population characteristics holding population composition constant (structural change), and the unmeasured macro-level changes affecting smoking behavior in different population sub-groups at differential rates (residual change) to quantify the shares of population sub-groups by sex, age, race/ethnicity, education, marital status, employment status, health insurance coverage, family income, and region of residence in the overall change in smoking rates. The analysis shows that decreases in smoking propensities regardless of the changes in population composition accounted for 66.4% of the reduction in smoking prevalence and 88.7% of the reduction in smoking initiation. The major reductions in smoking propensity were among Medicaid recipients and young adults (ages 18-24 years). The 25-44-year-olds experienced moderate increase in successful smoking cessation, while the overall successful smoking cessation rate remained steady. Taken together, consistent reduction in smoking among U.S. adults by all major population characteristics, accompanied by disproportionately larger reduction in smoking propensities among the population sub-groups with initially higher smoking propensity compared to the national average, characterized the decline in overall cigarette smoking. Strengthening proven tobacco control measures with targeted interventions to reduce smoking propensities among underserved populations is key to continued success in reducing smoking overall and remedying inequities in smoking and population health.

Trends in cigarette use and health insurance coverage among US adults with mental health and substance use disorders

AIMS

To estimate recent trends in cigarette use and health insurance coverage for United States adults with and without mental health and substance use disorders (MH/SUD).

DESIGN

Event study analysis of smoking and insurance coverage trends among US adults with and without MH/SUD using 2008-19 public use data from the National Survey on Drug Use and Health, an annual, cross-sectional survey.

SETTING

USA.

PARTICIPANTS

A nationally representative sample of non-institutionalized respondents aged 18-64 years (n = 448 762).

MEASUREMENTS

Outcome variables were three measures of recent cigarette use and one measure of past-year health insurance coverage. We compared outcomes between people with and without MH/SUD (MH disorder: past-year mental illness, predicted from Kessler-6 and the World Health Organization-Disability Assessment Schedule impairment scale; SUD: met survey-based DSM-IV criteria for past-year alcohol, cannabis, cocaine or heroin use disorder) and over time.

FINDINGS

Comparing pooled data from 2008 to 2009 and from 2018 to 2019, current smoking rates of adults with MH/SUD decreased from 37.9 to 27.9% while current smoking rates of adults without MH/SUD decreased from 21.4 to 16.3%, a significant difference in decrease of 4.9 percentage points (pts) [95% confidence interval (CI) = 3.3-6.6 pts]. Daily smoking followed similar patterns (difference in decrease of 3.9 pts (95% CI = 2.3-5.4 pts). Recent smoking abstinence rates for adults with MH/SUD increased from 7.4 to 10.9%, while recent smoking abstinence rates for adults without MH/SUD increased from 9.6 to 12.0%, a difference in increase of 1.0 pts (95% CI = -3.0 to 0.9 pts). In 2018-19, 11% of net reductions in current smoking, 12% of net reductions in daily smoking and 12% of net increases in recent smoking abstinence coincided with greater gains in insurance coverage for adults with MH/SUD compared to those without MH/SUD.

CONCLUSIONS

Improvements in smoking and abstinence outcomes for US adults with mental health and substance use disorders appear to be associated with increases in health insurance coverage.

Implementation strategies to increase smoking cessation treatment provision in primary care: a systematic review of observational studies

BACKGROUND

Internationally, there is an 'evidence-practice gap' in the rate healthcare professionals assess tobacco use and offer cessation support in clinical practice, including primary care. Evidence is needed for implementation strategies enacted in the 'real-world'.

AIM

To identify implementation strategies aiming to increase smoking cessation treatment provision in primary care, their effectiveness, cost-effectiveness and any perceived facilitators and barriers for effectiveness.

METHODS

'Embase', 'Medline', 'PsycINFO', 'CINAHL', 'Global Health', 'Social Policy & Practice', 'ASSIA Applied Social Sciences Index and Abstracts' databases, and grey literature sources were searched from inception to April 2021. Studies were included if they evaluated an implementation strategy implemented on a nation-/state-wide scale, targeting any type of healthcare professional within the primary care setting, aiming to increase smoking cessation treatment provision.

PRIMARY OUTCOME MEASURES

implementation strategy identification, and effectiveness (practitioner-/patient-level).

SECONDARY OUTCOME MEASURES

perceived facilitators and barriers to effectiveness, and cost-effectiveness. Studies were assessed using the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) tool. A narrative synthesis was conducted using the Expert Recommendations for Implementing Change (ERIC) compilation and the Consolidated Framework for Implementation Research (CFIR).

RESULTS

Of 49 included papers, half were of moderate/low risk of bias. The implementation strategy domains identified involved utilizing financial strategies, changing infrastructure, training and educating stakeholders, and engaging consumers. The first three increased practitioner-level smoking status recording and cessation advice provision. Interventions in the utilizing financial strategies domain also appeared to increase smoking cessation (patient-level). Key facilitator: external policies/incentives (tobacco control measures and funding for public health and cessation clinics). Key barriers: time and financial constraints, lack of free cessation medications and follow-up, deprioritisation and unclear targets in primary care, lack of knowledge of healthcare professionals, and unclear messaging to patients about available cessation support options. No studies assessed cost-effectiveness.

CONCLUSIONS

Some implementation strategy categories increased the rate of smoking status recording and cessation advice provision in primary care. We found some evidence for interventions utilizing financial strategies having a beneficial impact on cessation. Identified barriers to effectiveness should be reduced. More pragmatic approaches are recommended, such as hybrid effectiveness-implementation designs and utilising Multiphase Optimization Strategy methodology.

PROTOCOL REGISTRATION

PROSPERO:CRD42021246683.

Examining trends in health care access measures among low-income adult smokers in Ohio: 2012-2019

Smokers are more likely to be low-income with limited access to health services. Although Medicaid expansion under the Patient Protection and Affordable Care Act improved access to care for low-income adults, long-term trends in health care access among low-income smokers remain uncharacterized. The study evaluated changes in five access measures among low-income nonelderly (19-64) adults (N = 28976) across smoking status using pooled data from a statewide survey in Ohio covering pre- (i.e., 2012) and post-Medicaid expansion periods (2015, 2017, and 2019) guided by a comprehensive framework of health care access. We found improvements in some, but not all, health care access measures among low-income smokers in the post-Medicaid-expansion period compared to the pre-expansion period. Compared to 2012, the odds for unmet dental care needs declined in 2015 (aOR = 0.67, 95 % CI = 0.45-1.01), 2017 (aOR = 0.53, 95 % CI = 0.35-0.81), and 2019 (aOR = 0.65, 95 % CI = 0.40-1.05) (p trend < 0.001). Similarly, the odds for unmet other health care needs (i.e., medical exams and supplies) were lower in 2015 (aOR = 0.64, 95 % CI = 0.39-1.06), 2017 (aOR = 0.56, 95 % CI = 0.34-0.93), and 2019 (aOR = 0.47, 95 % CI = 0.27-0.83) (p trend < 0.001). Difficulty paying medical bills was also significantly lower in 2015 (aOR = 0.62, 95 % CI = 0.43-0.89), 2017 (aOR = 0.57, 95 % CI = 0.39-0.83) and 2019 (aOR = 0.57, 95 % CI = 0.37-0.87) (p trend < 0.001). While there was notable progress in measures of affordability (i.e., paying medical bills) as well as care availability and accommodation (i.e., unmet needs), there were no meaningful changes in the approachability of care (i.e., having a usual source of care).

Patient Engagement by the Tobacco Quitline After Electronic Referrals

INTRODUCTION

Referrals through the electronic health record (EHR) system provide an efficient evidence-based method to connect patients to the Tobacco Quitline. However, patients frequently do not respond to Quitline phone calls or accept services. The goal of this study was to characterize factors associated with successful engagement with Quitline following e-referrals by physicians in Maryland.

AIMS AND METHODS

This is a cross-sectional study with hierarchical data modeling. Data for 1790 patients e-referred in 2018-2019 by the University of Maryland Medical System (UMMS) were analyzed. Patients' engagement was assessed using a generalized estimating equation multivariable regression model for ordinal outcomes at two levels: Picking up a phone call from Quitline (1-800-QUIT-NOW) and enrollment in tobacco cessation programs.

RESULTS

Older age, female gender, black race, low socioeconomic status, and provider's skills were significantly associated with successful outcomes of Quitline referral. The engagement with Quitline was higher in black non-Hispanic patients compared to other racial/ethnic groups (phone call response odds ratio [OR] = 1.99, 95% confidence interval [CI] = 1.35% to 2.93% and service acceptance OR = 1.89, 95% CI = 1.28% to 2.79%). Patients residing in socioeconomically deprived areas were more likely to respond to Quitline phone calls compared to those from affluent neighborhoods (OR = 1.52, 95% CI = 1.03% to 2.25%). Patients referred by faculty or attending physicians were more likely to respond compared to those referred by residents (OR = 1.23, 95% CI 1.04, 1.44, p = .0141).

CONCLUSIONS

Multiple factors impact successful engagement with Quitline. Additional means to improve Quitline engagement success may include focused messaging on tobacco cessation benefits to patients, and skillful counseling by the provider.

IMPLICATIONS

Implementation of the clinical decision support (CDS) tool for electronic referrals to the Tobacco Quitline at the UMMS was successful in providing evidence-based free service to elderly patients and socioeconomically disadvantaged racial and ethnic minorities. The CDS also served to engage physicians in conversation about tobacco use and cessation with every tobacco-using patient. Curricular content for physicians in training should be enriched to expand tobacco use and treatment.

Effects of Medicaid coverage on receipt of tobacco dependence treatment among Medicaid beneficiaries with substance use disorder

OBJECTIVE

Individuals with substance use disorder (SUD) smoke cigarettes at a rate that is more than double the rate of the general population. Tobacco dependence treatment (TDT) is effective at reducing smoking, yet it is unclear whether expanding insurance coverage of these services increases TDT use among Medicaid beneficiaries with SUD.

DATA SOURCE

2009-2013 Medicaid data in all 50 states and Washington DC.

STUDY DESIGN

We conducted a retrospective analysis of the 2009-2013 de-identified Medicaid Analytic Extract (MAX) claims for a 100% national sample of fee-for-service (FFS) Medicaid adult beneficiaries. Using a difference-in-difference-in-differences analysis, we assessed the association of full TDT coverage on TDT medication use and tobacco cessation counseling services between beneficiaries with and without SUD. We adjusted for age, sex, race/ethnicity, diagnosis of co-occurring chronic illness, state tobacco taxes, and state and year fixed effects.

DATA COLLECTION/EXTRACTION METHODS

We excluded patients not continuously enrolled in Medicaid for 12 months during the calendar year, adults aged 65 and older (given their dual enrollment in Medicaid and Medicare), minors aged 12-17, and pregnant women (for whom different TDT coverage policies apply).

PRINCIPAL FINDINGS

We separately modeled the association between full coverage of (1) counseling, (2) over-the-counter nicotine replacement therapy, and (3) prescription cessation medications on TDT medication treatment and counseling services. We found that each coverage led to increases in any TDT medication treatment and counseling services for beneficiaries with SUD. The effects of each coverage on medication treatment were greater for beneficiaries with SUD compared to beneficiaries without SUD (ranging from 4.9 to 6.1 percentage point difference).

CONCLUSION

Coverage of tobacco cessation counseling, over-the-counter nicotine replacement therapy, and prescription cessation medications holds promise for reducing the wide disparities in rates of smoking between those with and without SUD.

Use of electronic health records to manage tobacco screening and treatment in rural primary care

PURPOSE

Electronic health records (EHRs) can facilitate primary care providers' (PCPs) use of best practices in addressing tobacco dependence. It is unknown whether rural PCPs reap the same benefits as their urban counterparts when employing EHRs for this purpose. Our study examines this issue.

METHODS

This cross-sectional investigation based on the 2012-2015 National Ambulatory Medical Care Survey used chi-square tests and adjusted logistic regression models to explore how rurality and use of tobacco-related EHR functions were related to smoking status documentation (SSD) and cessation treatment at adult primary care visits.

FINDINGS

SSD rates were similar in visits to rural- and urban-based PCPs (88.2% rural-based vs 81.1% urban-based, P = .5819). Use of EHRs for SSD was associated with higher SSD odds at visits to both rural- and urban-based PCPs, but this increase was greater for visits to rural-based PCPs (428% vs 220% urban-based, P = .0443). Rates of cessation treatment at smokers' visits were low in rural and urban contexts (19.3% rural vs 19.6% urban, P = .9430). Odds of cessation treatment were 68% higher where EHRs were used to remind PCPs of treatment guidelines (P = .001), with no rural-urban difference in the size of the increase. Access to EHRs with tobacco-related functions was similar across rural and urban practices.

CONCLUSIONS

Rural-based PCPs were at least as successful as urban-based PCPs in leveraging EHRs to enhance tobacco-related services. Even where EHRs are used, opportunities exist to expand cessation treatment in rural primary care.

Affordable Care Act Medicaid expansion and access to primary-care based smoking cessation assistance among cancer survivors: an observational cohort study

Background

Smoking among cancer survivors can increase the risk of cancer reoccurrence, reduce treatment effectiveness and decrease quality of life. Cancer survivors without health insurance have higher rates of smoking and decreased probability of quitting smoking than cancer survivors with health insurance. This study examines the associations of the Affordable Care Act (ACA) Medicaid insurance expansion with smoking cessation assistance and quitting smoking among cancer survivors seen in community health centers (CHCs).

Methods

Using electronic health record data from 337 primary care community health centers in 12 states that expanded Medicaid eligibility and 273 CHCs in 8 states that did not expand, we identified adult cancer survivors with a smoking status indicating current smoking within 6 months prior to ACA expansion in 2014 and ≥ 1 visit with smoking status assessed within 24-months post-expansion. Using an observational cohort propensity score weighted approach and logistic generalized estimating equation regression, we compared odds of quitting smoking, having a cessation medication ordered, and having ≥6 visits within the post-expansion period among cancer survivors in Medicaid expansion versus non-expansion states.

Results

Cancer survivors in expansion states had higher odds of having a smoking cessation medication order (adjusted odds ratio [aOR] = 2.54, 95%CI = 1.61-4.03) and higher odds of having ≥6 office visits than those in non-expansion states (aOR = 1.82, 95%CI = 1.22-2.73). Odds of quitting smoking did not differ significantly between patients in Medicaid expansion versus non-expansion states.

Conclusions

The increased odds of having a smoking cessation medication order among cancer survivors seen in Medicaid expansion states compared with those seen in non-expansion states provides evidence of the importance of health insurance coverage in accessing evidence-based tobacco treatment within CHCs. Continued research is needed to understand why, despite increased odds of having a cessation medication prescribed, odds of quitting smoking were not significantly higher among cancer survivors in Medicaid expansion states compared to non-expansion states.

Community Health Centers' Performance in Cancer Screening and Prevention

INTRODUCTION

Little is known about what clinic-level factors differentiate community health centers that achieve high performance on cancer-preventive care metrics. This study aims to describe the longitudinal trends in the delivery of 3 cancer-preventive care metrics (cervical and colorectal cancer screenings and tobacco-cessation intervention) and define and compare community health centers with high cancer-preventive care performance with those with low cancer-preventive care performance.

METHODS

This observational study used 2012-2019 community health center data (N=933) from the Uniform Data System. High/low performance was based on Healthy People 2020 targets and sample distribution. For each cancer-preventive care metric, the percentage of community health centers that met high (≥70.5% at cervical or colorectal cancer screening or >80% tobacco-cessation intervention) and low thresholds at 1, 2, and all the 3 screenings was estimated. Multivariable generalized estimating equations logistic regression modeling was used to assess the community health center‒level factors associated with screening performance.

RESULTS

The community health centers' performance for tobacco-cessation intervention remained at ≥80%, with a small increase over time. Performance for cervical cancer screening remained unchanged with about 50% of patients screened. Colorectal cancer screening performance increased from around 30% in 2012 to 44% in 2019. Very few community health centers reached high performance (3%) in all the 3 indicators, and 13% of community health centers were high in any 2 of the outcomes in 2019. Higher patient volume, a greater proportion of Hispanic patients, fewer uninsured patients, and community health centers located in the Northeast region were associated with high performance in 2019.

CONCLUSIONS

Very few community health centers meet all Healthy People 2020 goals in cancer screenings and may struggle to achieve the 2030 goals. Very few indicators differentiated high performers from low performers.

The impact of childhood sexual abuse and adverse childhood experiences on adult health related quality of life

BACKGROUND

Adverse childhood experiences (ACEs) have been shown to be associated with adult physical, psychological, and socioeconomic well-being, indicative of poor health-related quality of life (HRQoL). However, the association between child sexual abuse (CSA) and adult HRQoL, independent of other ACEs, has been less well examined.

OBJECTIVES

To examine associations between self-reported CSA, including the nature of CSA, and adult HRQoL.

PARTICIPANTS

Data are from 10,624 respondents to CSA and HRQoL questions on the 2015 Texas Behavioral Risk Factor Surveillance System survey.

METHODS

Analyses included chi square and t-tests to compare sociodemographic and HRQoL differences among those with and without history of CSA. Multivariable logistic regressions were used to evaluate associations between nature of CSA and HRQoL, controlling for covariates.

RESULTS

The prevalence of self-reported CSA in the sample was 10.3%. Compared to the non-exposed group, individuals exposed to CSA were more likely to report their general health as poor (AOR, 1.51; 95% CI, 1.09-2.09), report 14 or more physical unhealthy days (AOR, 1.46; 95% CI, 1.06-2.02), 14 or more mental unhealthy days (AOR, 1.86; 95% CI, 1.30-2.64), and 14 or more activity limitation days (AOR, 2.22; 95% CI, 1.58-3.10) in a month. HRQoL outcomes were worse for respondents who reported being forced to have sex as a child compared with those who reported being touched or forced to touch someone.

CONCLUSIONS

Self-reported CSA is associated with lower HRQoL. The association varies by the nature of reported sexual abuse. Understanding the long-term impacts of CSA can inform adult treatment options and policies to prevent and treat CSA.

Tobacco control policy and smoking among older Americans: An analysis of a nationally-representative longitudinal sample (1992-2014)

Smoking has decreased less rapidly among older adults than among the working age population in the United States. This study examines whether tobacco control policy, specifically smoke-free laws and increased cigarette prices, are associated with smoking cessation and lower smoking intensity among older adults. In addition, it considers whether the effect of smoke-free laws varied by labor force participation. Using geocoded longitudinal data from the Health and Retirement study collected from 1992 to 2014, I estimate survival models to evaluate the association between the implementation of city, county, and state smoke-free laws, changes in average state cigarette pack price, and smoking cessation among smokers. I then interact labor force status with smoke-free laws to assess whether the associations differ for retired versus employed respondents. Second, I estimate within-person fixed effects models to evaluate the association between the implementation of smoke-free laws, changes in average state cigarette pack price, and smoking intensity among smokers. Models were stratified by labor force status to assess whether the associations varied by labor force participation. All analyses were also stratified by age into younger (51-64) and older (65+) respondents. Neither the implementation of smoke-free laws nor increases in cigarette prices were associated with greater smoking cessation or lower smoking intensity. There was no evidence that labor force participation was associated with greater responsiveness to smoke-free laws. The results suggest that two of the most popular tobacco control policy tools in the US, smoke-free laws and cigarette prices, may be less effective among older adults.