Effect of Gaining Insurance Coverage on Smoking Cessation in Community Health Centers: A Cohort Study

Machine learning application for predicting smoking cessation among US adults: An analysis of waves 1-3 of the PATH study

Identifying determinants of smoking cessation is critical for developing optimal cessation treatments and interventions. Machine learning (ML) is becoming more prevalent for smoking cessation success prediction in treatment programs. However, only individuals with an intention to quit smoking cigarettes participate in such programs, which limits the generalizability of the results. This study applies data from the Population Assessment of Tobacco and Health (PATH), a United States longitudinal nationally representative survey, to select primary determinants of smoking cessation and to train ML classification models for predicting smoking cessation among the general population. An analytical sample of 9,281 adult current established smokers from the PATH survey wave 1 was used to develop classification models to predict smoking cessation by wave 2. Random forest and gradient boosting machines were applied for variable selection, and the SHapley Additive explanation method was used to show the effect direction of the top-ranked variables. The final model predicted wave 2 smoking cessation for current established smokers in wave 1 with an accuracy of 72% in the test dataset. The validation results showed that a similar model could predict wave 3 smoking cessation of wave 2 smokers with an accuracy of 70%. Our analysis indicated that more past 30 days e-cigarette use at the time of quitting, fewer past 30 days cigarette use before quitting, ages older than 18 at smoking initiation, fewer years of smoking, poly tobacco past 30-days use before quitting, and higher BMI resulted in higher chances of cigarette cessation for adult smokers in the US.

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.

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.

Effect of Radiation Treatment at a High-Volume Center on Outcomes in Intermediate-Risk Prostate Cancer: An Analysis of the National Cancer Database

OBJECTIVE

To investigate the effect of radiation treatment at a high-volume center on overall survival in men with intermediate-risk prostate cancer.

METHODS

From 2004-2015, 430,347 patients with intermediate-risk prostate cancer were identified in the NCDB. Radiation case volume (RCV) of each hospital was calculated based on number of patients treated. After excluding certain patients including those with metastatic disease, our final analysis population included 116,091 intermediate-risk prostate cancer patients receiving radiation therapy (RT) or radiation with androgen deprivation therapy (RT+ADT). Characteristics analyzed include age, race, distance to treatment facility, Charlson-Deyo Score (CDS), and socioeconomic factors. Primary outcome was overall survival (OS). 5-year survival rates were estimated using the Kaplan-Meier method. Adjusted hazard ratios (HR) with 95% confidence intervals (CI) were computed using multivariate analysis (MVA). Cox regression and propensity score-matched (PSM) analysis was performed.

RESULTS

Median follow up was 63.5 months and estimated 5-year OS was 90.1% at high RCV centers and 88.2% at low RCV centers (p<0.0001). Treatment at high RCV facility was associated with significantly lower mortality compared to treatment at a low RCV facility on MVA and PSM analysis. The survival benefit of treatment at a high RCV facility remained when high RCV facilities were defined as those above the 80^th, 90^th, and 95^th percentile in patient volume (p<0.05).

CONCLUSIONS

Treatment at a high radiation case volume facility is associated with improved OS in patients with radiation-treated intermediate-risk prostate cancer. This survival benefit is important to consider when choosing a treatment center for radiation therapy.

Evaluating the feasibility of pharmacist-facilitated tobacco cessation interventions in independent community pharmacies in rural Appalachia

BACKGROUND

Smoking rates in the United States are the highest in underserved rural regions. Thus, more points of contact are needed to link smokers to evidence-based cessation programs.

OBJECTIVES

The purpose of this study was to conduct an evaluation to determine the feasibility, acceptability, and interest among rural pharmacists in implementing a pharmacist-facilitated smoking cessation program in independent community pharmacies in rural Appalachian communities in Virginia, North Carolina, Tennessee, and West Virginia.

METHODS

This study utilized a complementary sequential mixed-methods approach to explore independent community pharmacists and technicians' experiences and beliefs about implementing a tobacco cessation program in their pharmacy.

RESULTS

There were 49 pharmacists or technicians who completed the survey and 7 pharmacists who participated in the interviews. Four main findings emerged from the data: 1) pharmacies can help fill the gap in tobacco cessation services in rural communities, 2) under current practice, tobacco cessation resources when offered by independent community pharmacies are not always formalized, 3) there are known barriers, such as reimbursing for services, that need to be addressed to provide tobacco cessation in an independent pharmacy setting, and 4) the Ask-Advise-Connect model is a feasible tobacco cessation approach in a pharmacy.

CONCLUSION

Although pharmacists may be ideally situated to build capacity for smoking cessation in rural areas, smoking cessation interventions need to use existing approaches that compensate pharmacists for their time spent counseling patients. Furthermore, simple documentation and billing systems are needed to maximize utilization of tobacco cessation products and services provided in the pharmacy.

Emerging political and demographic divides: State politics, welfare generosity, and adult mortality in U.S. states 1977-2017

Geographic disparities in adult mortality within the US have grown over the past several decades, but the reasons for these trends remain unclear. In this article, we examine trends in adult mortality (ages 55+) across US states from 1977 to 2017, paying close attention to the shifting geographic pattern of high- and low-mortality states. We find that states in the South tended to fall behind the rest of the country in the 1970s and 1980s, while states in the Great Plains and Mountain West tended to fall behind in the 1990s, 2000s, and 2010s. In contrast, states on the East and West Coasts have tended to see considerable improvement in mortality. We consider the role of state-level per-capita spending on public welfare programs in the mortality experience of states between 1977 and 2017. We use fixed effects models to show that greater state welfare generosity predicts greater yearly reductions in mortality. State shifts toward more generous welfare spending regimes may contribute to significant geographic divergences in adult mortality in the United States.

Evaluation of the Asian Smokers' Quitline: A Centralized Service for a Dispersed Population

INTRODUCTION

Asian immigrants to the U.S. smoke at higher rates than U.S.-born Asians. However, few programs exist to help these immigrants quit and little is known about their real-world effectiveness. The Centers for Disease Control and Prevention funded the Asian Smokers' Quitline to serve Chinese, Korean, and Vietnamese immigrants nationwide. This study examines service utilization and outcomes from the first 7 years of the program.

METHODS

From August 2012 to July 2019, the Asian Smokers' Quitline enrolled 14,073 Chinese-, Korean-, and Vietnamese-speaking smokers. Service utilization rates and cessation outcomes were compared with those of an earlier trial (conducted 2004-2008) that demonstrated the efficacy of an Asian-language telephone counseling protocol. Data were analyzed in 2019.

RESULTS

Asian Smokers' Quitline participants came from all 50 states and the District of Columbia. The main referral sources were Asian-language newspapers (37.2%), family and friends (16.4%), healthcare providers (11.9%), and radio (11.9%). Overall, 37.6% were uninsured, 38.8% had chronic health conditions, and 15.4% had mental health conditions. Compared with participants in the earlier trial, Quitline participants received 1 fewer counseling session (3.8 vs 4.9, p<0.001) but were more likely to use pharmacotherapy (73.6% vs 20.9%, p<0.001). More than 90% were satisfied with the services they received. Six-month prolonged abstinence rates were higher in the Quitline than in the trial (complete case analysis: 28.6% vs 20.0%, p<0.001; intention-to-treat analysis: 20.5% vs 16.4%, p=0.005).

CONCLUSIONS

The Asian Smokers' Quitline was utilized by >14,000 Asian-language-speaking smokers across the U.S. in its first 7 years. This quitline could serve as a model for delivering other behavioral services to geographically dispersed linguistic minority populations.

Prevalence and Trends in Smoking Among Surgical Patients in Michigan, 2012-2019

IMPORTANCE

Surgery is a teachable moment, and smoking cessation interventions that coincide with an episode of surgical care are especially effective. Implementing these interventions at a large scale requires understanding the prevalence and characteristics of smoking among surgical patients.

OBJECTIVES

To describe the prevalence of smoking in a population of patients undergoing common surgical procedures and to identify any clinical or demographic characteristics associated with smoking.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included all adult patients (aged ≥18 years) in a statewide registry who underwent general and vascular surgical procedures from 2012 to 2019 at 70 hospitals in Michigan. Data analysis was conducted from August to October 2020.

EXPOSURES

Undergoing a surgical procedure in any of the following categories: appendectomy, cholecystectomy, colon procedures, gastric or esophageal procedures, hepatopancreatobiliary procedures, hernia repair, small-bowel procedures, hysterectomy, vascular procedures, thyroidectomy, and other unspecific abdominal procedures.

MAIN OUTCOMES AND MEASURES

The prevalence of smoking prior to surgery, defined as cigarette use in the year prior to surgery, obtained from medical record review. Multivariable logistic regression was performed to analyze smoking prevalence based on insurance type and year of surgery while adjusting for demographic and clinical factors, including age, sex, race/ethnicity (determined from the medical record), insurance type, geographic region, comorbidities (ie, hypertension, diabetes, congestive heart failure, chronic obstructive pulmonary disease, chronic steroid use, and obstructive sleep apnea), American Society of Anesthesiologists classification, admission status, surgical priority, procedure type, and year of surgery.

RESULTS

From 2012 to 2019, 328 578 patients underwent surgery and were included in analysis. Mean (SD) age was 54.0 (17.0) years, and 197 501 patients (60.1%) were women. The overall prevalence of smoking was 24.1% (79 152 patients). Prevalence varied regionally from 21.5% (95% CI, 21.0%-21.9%; 6686 of 31 172 patients) in southeast Michigan to 28.0% (95% CI, 27.1%-28.9%; 2696 of 9614 patients) in northeast Michigan. When adjusting for clinical and demographic factors, there were greater odds of smoking among patients with Medicaid (odds ratio [OR], 2.75; 95% CI, 2.69-2.82) and patients without insurance (OR, 2.21; 95% CI, 2.10-2.33) compared with patients with private insurance. Among procedure categories, patients undergoing vascular surgery had greater odds of smoking (OR, 3.24; 95% CI, 3.11-3.38) than those undergoing cholecystectomy. Compared with 2012, the adjusted odds of smoking decreased significantly each year (eg, 2019: OR, 0.78; 95% CI, 0.74-0.81). In 2019, the adjusted prevalence of smoking was 22.3% (95% CI, 22.0%-22.7%) among all patients, 43.0% (95% CI, 42.4%-43.6%) among patients with Medicaid, and 36.3% (95% CI, 35.2%-37.4%) among patients without insurance.

CONCLUSIONS AND RELEVANCE

In a statewide population of surgical patients, nearly one-quarter of patients smoked cigarettes, which is higher than the national average. The prevalence of smoking was especially high among patients without insurance and among those receiving Medicaid. Given the established association between undergoing a major surgical procedure and health behavior change, targeted smoking cessation interventions at the time of surgery may be an effective strategy to improve population health, especially among at-risk patient groups.

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

INTRODUCTION

Community health centers (CHCs) care for vulnerable patients who use tobacco at higher than national rates. States that expanded Medicaid eligibility under the Affordable Care Act (ACA) provided insurance coverage to tobacco users not previously Medicaid-eligible, thereby potentially increasing their odds of receiving cessation assistance. We examined if tobacco users in Medicaid expansion states had increased quit rates, cessation medications ordered, and greater health care utilization compared to patients in non-expansion states.

METHODS

Using electronic health record (EHR) data from 219 CHCs in 10 states that expanded Medicaid as of January 1, 2014, we identified patients aged 19-64 with tobacco use status documented in the EHR within 6 months prior to ACA Medicaid expansion and ≥1 visit with tobacco use status assessed within 24 months post-expansion (January 1, 2014 to December 31, 2015). We propensity score matched these patients to tobacco users from 108 CHCs in six non-expansion states (n = 27 670 matched pairs; 55 340 patients). Using a retrospective observational cohort study design, we compared odds of having a quit status, cessation medication ordered, and ≥6 visits within the post-expansion period among patients in expansion versus non-expansion states.

RESULTS

Patients in expansion states had increased adjusted odds of quitting (adjusted odds ratio [aOR] = 1.35, 95% confidence interval [CI]: 1.28-1.43), having a medication ordered (aOR = 1.53, 95% CI: 1.44-1.62), and having ≥6 follow-up visits (aOR = 1.34, 95% CI: 1.28-1.41) compared to patients from non-expansion states.

CONCLUSIONS

Increased access to insurance via the ACA Medicaid expansion likely led to increased quit rates within this vulnerable population.

IMPLICATIONS

CHCs care for vulnerable patients at higher risk of tobacco use than the general population. Medicaid expansion via the ACA provided insurance coverage to a large number of tobacco users not previously Medicaid-eligible. We found that expanded insurance coverage was associated with increased cessation assistance and higher odds of tobacco cessation. Continued provision of insurance coverage could lead to increased quit rates among high-risk populations, resulting in improvements in population health outcomes and reduced total health care costs.

A longitudinal analysis of nondaily smokers: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

PURPOSE

Nondaily smoking is increasing in the United States and common among Hispanic/Latino smokers. We characterized factors related to longitudinal smoking transitions in Hispanic/Latino nondaily smokers.

METHODS

The Hispanic Community Health Study/Study of Latinos is a population-based cohort study of Hispanics/Latinos aged 18-74 years. Multinomial logistic regression assessed the baseline factors (2008-2011) associated with follow-up smoking status (2014-2017) in nondaily smokers (n = 573), accounting for complex survey design.

RESULTS

After ∼6 years, 41% of nondaily smokers became former smokers, 22% became daily smokers, and 37% remained nondaily smokers. Factors related to follow-up smoking status were number of days smoked in the previous month, household smokers, education, income, and insurance. Those smoking 16 or more of the last 30 days had increased risk of becoming a daily smoker [vs. < 4 days; relative risk ratio (RRR) = 5.65, 95% confidence interval (95% CI) = 1.96-16.33]. Greater education was inversely associated with transitioning to daily smoking [>high school vs. <ninth grade: RRR (95% CI) = 0.30 (0.09-0.95)]. Living with smokers was associated with decreased likelihood of quitting [RRR (95% CI) = 0.45 (0.24-0.86)]. Having insurance was associated with quitting [RRR (95% CI) = 2.11 (1.18-3.76)] and becoming a daily smoker [RRR (95% CI) = 3.00 (1.39-6.48)].

CONCLUSIONS

Many Hispanic/Latino nondaily smokers became daily smokers, which may increase their risk of adverse health outcomes. Addressing different smoking patterns in primary care may be useful to prevent smoking-related diseases.

Comparing smoking behavior between female-to-male and male-to-female transgender adults

INTRODUCTION

This study aimed to assess the association between current smoking and gender identity among transgender individuals.

METHODS

Data were collected using a cross-sectional survey distributed among transgender individuals attending the Houston Pride Festival and those seeking care at a local transgender health clinic. Relevant variables were compared between female-to-male (FTM) and male-to-female (MTF) transgender individuals using χ², Fisher’s exact, and two-sample t-tests, when appropriate. Gender identity was used to predict current smoking status using logistic regression, adjusting for other sociodemographic determinants.

RESULTS

The study sample (N=132) comprised 72 MTF (54.5%) and 60 FTM (45.5%) transgender individuals. Mean age of participants was 31.8 years. The sample was racially and ethnically diverse: 45.8% Caucasian, 25.2% Hispanic/Latino, 16.8% African American, and 12.2% other. Current smoking prevalence was 26.7% and 13.9% among FTM and MTF individuals, respectively. Transgender individuals were more likely to self-report current smoking if they were FTM (OR=3.76; 95% CI: 1.17–12.06; p=0.026) or were insured (OR=4.49; 95% CI: 1.53–13.18; p=0.006).

CONCLUSIONS

This study reports on important findings by examining intragroup differences in smoking behavior among the transgender population. However, further research is needed for tailoring smoking prevention and cessation interventions for transgender subgroups.

Where Do Oregon Medicaid Enrollees Seek Outpatient Care Post-affordable Care Act Medicaid Expansion?

BACKGROUND

Previous studies suggest the newly Medicaid insured are more likely to use the emergency department (ED) however they did not differentiate between patients established or not established with primary care.

OBJECTIVES

To understand where Oregon Medicaid beneficiaries sought care after the Patient Protection and Affordable Care Act (PPACA) Medicaid expansion (ED, primary care, or specialist) and the interaction between primary care establishment and outpatient care utilization.

RESEARCH DESIGN

A retrospective cohort study.

SUBJECTS

Adults continuously insured from 2014 through 2015 who were either newly, returning, or continuously insured post-PPACA.

MEASURES

Site of first and last outpatient visit, established with primary care status, and outpatient care utilization.

RESULTS

The odds of being established with primary care at their first visit were lower among newly [odds ratio (OR), 0.18; 95% confidence interval (CI), 0.18-0.19] and returning insured (OR, 0.22; 95% CI, 0.22-0.23) than the continuously insured. Continuously insured, new patients with primary care had higher odds of visiting the ED (OR, 2.15; 95% CI, 2.01-2.30) at their first visit than newly or returning insured. Patients established with a single primary care provider in all insurance groups had lower rates of ED visit, whereas those established with multiple primary care providers had the highest ED visit rates.

CONCLUSIONS

Most newly and returning insured Medicaid enrollees sought primary care rather than ED services and most became established with primary care. Our findings suggest that both insurance and primary care continuity play a role in where patients seek health care services.

Provider-Patient Discussions About Smoking and the Impact of Lung Cancer Screening Guidelines: NHIS 2011-2015

BACKGROUND

Clinical practice guidelines for treating tobacco use and lung cancer screening guidelines recommend smoking cessation counseling to current smokers by health care professionals.

OBJECTIVE

Our objective was to determine the contemporary patterns of current smokers' discussions about smoking with their health care professionals in the USA.

DESIGN, SETTING, AND PARTICIPANTS

We conducted an observational study of 30,132 current smokers (weighted sample 40,126,006) for the years 2011 to 2015 using data from the National Health Interview Survey.

MAIN MEASURES

Our main outcome was the proportion of current smokers who had discussions about smoking with their health care professionals. We used the Cochran-Armitage trend test to evaluate the temporal trends in current smokers' discussions about smoking, and used a multivariable logistic model to determine the predictors of discussions about smoking, controlling for smokers' demographics, health status, and receipts of lung cancer screening.

KEY RESULTS

Our study found the proportion of current smokers who had discussions about smoking with their health care professionals increased from 51.3% in 2011 to 55.4% in 2015 (P-trend < 0.0001). However, about 15% of current smokers who underwent lung cancer screening did not have or could not recall discussions about smoking with their health care professionals. In multivariable analyses and sensitivity analysis, the predictors of discussions about smoking were being a heavy smoker, receipt of lung cancer screening, being non-Hispanic white, having a physician office visit in the past year, being diagnosed with respiratory conditions, having fair or poor health, and having insurance coverage.

CONCLUSIONS

The results demonstrated a steady but slow increase in current smokers' discussions about smoking with their health care professionals in recent years, especially among heavy smokers. More than 40% of current smokers did not have or could not recall any discussions about smoking with their health care professionals.

Association of Medicaid Expansion and Health Insurance with Receipt of Smoking Cessation Services and Smoking Behaviors in Substance Use Disorder Treatment

This study examined whether living in a Medicaid-expanded state or having health insurance was associated with receipt of smoking cessation services or smoking behaviors among substance use disorder (SUD) treatment clients. In 2015 and 2016, 1702 SUD clients in 14 states were surveyed for health insurance status, smoking cessation services received in their treatment program, and smoking behaviors. Services and behaviors were then compared by state Medicaid expansion and health insurance status independently. Clients in Medicaid-expanded states were more likely to be insured (89.9% vs. 54.4%, p < 0.001) and to have quit smoking during treatment (AOR = 3.77, 95% CI = 2.47, 5.76). Insured clients had higher odds of being screened for smoking status in their treatment program and making quit attempts in the past year. Medicaid expansion supports greater health insurance coverage of individuals in SUD treatment and may enhance smoking cessation.

Following Uninsured Patients Through Medicaid Expansion: Ambulatory Care Use and Diagnosed Conditions

PURPOSE

The Patient Protection and Affordable Care Act (ACA) has improved access to health insurance, yet millions remain uninsured. Many patients who remain uninsured access care at community health centers (CHCs); however, little is known about their health conditions and health care use. We assessed ambulatory care use and diagnosed health conditions among a cohort of CHC patients uninsured before enactment of the ACA (pre-ACA: January 1, 2012 to December 31, 2013) and followed them after enactment (post-ACA: January 1, 2014 to December 31, 2015).

METHODS

This retrospective cohort analysis used electronic health record data from CHCs in 11 US states that expanded Medicaid eligibility. We assessed ambulatory care visits and documented health conditions among a cohort of 138,246 patients (aged 19 to 64 years) who were uninsured pre-ACA and either remained uninsured, gained Medicaid, gained other health insurance, or did not have a visit post-ACA. We estimated adjusted predicted probabilities of ambulatory care use using an ordinal logistic mixed-effects regression model.

RESULTS

Post-ACA, 20.9% of patients remained uninsured, 15.0% gained Medicaid, 12.4% gained other insurance, and 51.7% did not have a visit. The majority of patients had ≥1 diagnosed health condition. The adjusted proportion of patients with high use (≥6 visits over 2 years) increased from pre-ACA to post-ACA among those who gained Medicaid (pre-ACA: 23%, post-ACA: 34%, P <.001) or gained other insurance (pre-ACA: 29%, post-ACA: 48%, P <.001), whereas the percentage fell slightly for those continuously uninsured.

CONCLUSIONS

A significant percentage of CHC patients remained uninsured; many who remained uninsured had diagnosed health conditions, and one-half continued to have ≥3 visits to CHCs. CHCs continue to be essential providers for uninsured patients.

Identifying and characterizing cancer survivors in the US primary care safety net

BACKGROUND

Primary care providers must understand the use patterns, clinical complexity, and primary care needs of cancer survivors to provide quality health care services. However, to the authors' knowledge, little is known regarding the prevalence and health care needs of this growing population, particularly in safety net settings.

METHODS

The authors identified adults with a history of cancer documented in primary care electronic health records within a network of community health centers (CHCs) in 19 states. The authors estimated cancer history prevalence among >1.2 million patients and compared sex-specific site distributions with national estimates. Each survivor was matched to 3 patients without cancer from the same set of clinics. The demographic characteristics, primary care use, and comorbidity burden then were compared between the 2 groups, assessing differences with absolute standardized mean differences (ASMDs). ASMD values >0.1 denote meaningful differences between groups. Generalized estimating equations yielded adjusted odds ratios (aORs) for select indicators.

RESULTS

A total of 40,266 cancer survivors were identified (prevalence of 3.0% of adult CHC patients). Compared with matched cancer-free patients, a higher percentage of survivors had ≥6 primary care visits across 3 years (62% vs 48%) and were insured (83% vs 74%) (ASMD, >0.1 for both). Cancer survivors had excess medical complexity, including a higher prevalence of depression, asthma/chronic obstructive pulmonary disease, and liver disease (ASMD, >0.1 for all). Survivors had higher odds of any opioid prescription (aOR, 1.23; 95% CI, 1.19-1.27) and chronic opioid therapy (aOR, 1.27; 95% CI, 1.23-1.32) compared with matched controls (P < .001 for all).

CONCLUSIONS

Identifying cancer survivors and understanding their patterns of utilization and physical and mental comorbidities present an opportunity to tailor primary health care services to this population.

Predictors of smoking cessation among people living with HIV receiving routine clinical care

People living with HIV (PLWH) have a higher prevalence of smoking and are less likely to quit smoking than the general population. Few studies involving a large sample of PLWH receiving routine care have evaluated factors associated with smoking cessation. This retrospective longitudinal cohort study evaluated factors associated with smoking cessation among PLWH from 2007 to 2018. Of 1,714 PLWH smokers included in the study, 27.6% reported quitting smoking. Suppressed plasma HIV-1 RNA (<200 copies/ml) was significantly associated with an increased likelihood of smoking cessation (HR_adjusted = 1.27, 95% CI [1.03, 1.58]); whereas age/10 year increments (HR_adjusted = 0.12, 95% CI [0.04, 0.38]), greater length of care at the HIV clinic (HR_adjusted = 0.97, 95% CI [0.94, 0.99]), lack of insurance (HR_adjusted = 0.77, 95% CI [0.61, 0.99]) or having public insurance (HR_adjusted = 0.74, 95% CI [0.55, 0.97)]), current substance use (HR_adjusted = 0.66, 95% CI [0.43, 0.97]) and risk of developing alcohol use disorder (HR_adjusted = 0.60, 95% CI [0.43, 0.84]) were associated with a reduced likelihood of quitting smoking. These findings underscore the importance of early smoking cessation intervention among PLWH. In addition, targeted smoking cessation intervention strategies are needed for groups at risk for being less likely to quit, including older patients, and those with alcohol and substance use disorders.

Evaluating the Impact of Eliminating Copayments for Tobacco Cessation Pharmacotherapy

OBJECTIVES

We examined the impact of the Affordable Care Act-mandated elimination of tobacco cessation pharmacotherapy (TCP) copayments on patient use of TCP, overall and by income.

METHODS

Electronic health record data captured any and combination (eg, nicotine gum plus patch) TCP use among adult smokers newly enrolled in Kaiser Permanente Northern California (KPNC). KPNC eliminated TCP copayments in 2015. We included current smokers newly enrolled in the first 6 months of 2014 (before copayment elimination, N=16,199) or 2015 (after elimination, N=16,469). Multivariable models estimated 1-year changes in rates of any TCP fill, and of combination TCP fill, and tested for differences by income (<$50k, $50≥75k, ≥$75k). Through telephone surveys in 2016 with a subset of smokers newly enrolled in 2014 (n=306), we assessed barriers to TCP use, with results stratified by income.

RESULTS

Smokers enrolled in KPNC in 2015 versus 2014 were more likely to have a TCP fill (9.1% vs. 8.2%; relative risk, 1.19; 95% confidence interval, 1.11-1.27), and combination TCP fill, among those with any fill (42.3% vs. 37.9%; relative risk, 1.12; 95% confidence interval, 1.02-1.23); findings were stronger for low-income smokers. Low-income patients (<$50k) were less likely to report that clinicians discussed smoking treatments with them (58%) compared with higher income smokers ($50≥75k, 67%; ≥$75k, 83%), and were less aware that TCP was free (40% vs. 53% and 69%, respectively, P-values<0.05).

CONCLUSIONS

The Affordable Care Act's copayment elimination was associated with a modest increase in TCP use and a greater effect among low-income smokers. Uptake may have been enhanced if promoted to patients directly and via providers.

Medicaid enrollment among previously uninsured Americans and associated outcomes by race/ethnicity-United States, 2008-2014

Objectives

To examine the person‐level impact of Medicaid enrollment on costs, utilization, access, and health across previously uninsured racial/ethnic groups.

Data Source

Medical Expenditure Panel Survey, 2008‐2014.

Study Design

We pooled multiple 2‐year waves of data to examine the direct impact of Medicaid enrollment among uninsured Americans. We compared changes in outcomes among nonpregnant, uninsured individuals who gained Medicaid (N = 963) to those who remained uninsured (N = 9784) using a difference‐in‐differences analysis.

Principal Findings

Medicaid enrollment was associated with significant increases in total health care costs and total prescription drug costs and a significant decrease in out‐of‐pocket costs. Among those who gained Medicaid, prescription drug use increased significantly relative to those who remained uninsured. Medicaid enrollment was also associated with a significant increase in reporting a usual source of care, a decrease in foregone care, and significant improvements in severe psychological distress. Changes in total prescription drug costs and total prescription drug fills differed significantly across each racial/ethnic group.

Conclusions

Among a national sample of uninsured individuals, Medicaid enrollment was associated with substantial favorable changes in out‐of‐pocket costs, prescription drug use, and access to care. Our findings suggest Medicaid is an important tool to reduce insurance‐related disparities among Americans.

Educational attainment & quitting smoking: A structural equation model approach

In the United States, disparities in smoking prevalence and cessation by socioeconomic status are well documented, but there is limited research on reasons why and none conducted in a national sample assessing multiple potential mechanisms. We identified smoking and cessation-related behavioral and environmental variables associated with both educational attainment and quitting success. We used a structural equation model of cross-sectional data from respondents ≥25 years from the United States 2010-2011 Tobacco Use Supplement-Current Population Survey. Quitting success was defined as former (n = 2607) versus continuing smokers (n = 7636); categories of educational attainment were ≤high school degree, some college/college degree, and advanced degree. Results indicated that using nicotine replacement therapy (NRT) >1 month and having a home smoking restriction were associated with both educational attainment and quitting success. Those with lower educational attainment versus those with an advanced degree were less likely to report using NRT >1 month (≤high school: β = -0.50, p < 0.001; college: β = -0.24, p = 0.019). Use of NRT >1 month, in turn, was positively associated with quitting success (β = 0.25, p < 0.001). Those with lower educational attainment were also less likely to report a home smoking restriction (≤high school: β = -0.42, p < 0.001; college: β = -0.21, p = 0.009). Having a home smoking restriction was positively associated with quitting success (β = 0.50, p < 0.001). Results were similar with income substituted for education. Using NRT >1 month and having a home smoking restriction are two strategies that may explain the association between low education and lower cessation success; these strategies should be further tested for their potential ability to mitigate this association.

Improved Health and Insurance Status Among Cigarette Smokers After Medicaid Expansion, 2011-2016

OBJECTIVES

The high concentration of smokers among subgroups targeted by the Affordable Care Act and the historically worse health and lower access to health care among smokers warrants an evaluation of how Medicaid expansion affects smokers. We evaluated the impact of Medicaid expansion on smoking behavior, access to health care, and health of low-income adults, and we compared outcomes of all low-income people with outcomes of low-income current smokers by states' Medicaid expansion status.

METHODS

We obtained data from the Behavioral Risk Factor Surveillance System (2011-2016) for low-income adults aged 18-64. We estimated multivariable linear ordinary least squares probability models using a quasi-experimental difference-in-difference approach to compare smoking behavior, access to health care, and health between people in expansion states and nonexpansion states and, specifically, on low-income adults and the subgroup of low-income current smokers.

RESULTS

Compared with low-income smokers in nonexpansion states, low-income smokers in expansion states were 7.6 percentage points (95% confidence interval [CI], 5.7-9.6; P < .001) more likely to have health insurance, 3.2 percentage points (95% CI, 1.3-5.2; P = .001) more likely to report good or better health, and 2.0 percentage points (95% CI, -3.9 to -0.1; P = .044) less likely to have cost-related barriers to care. Health and insurance gains among current smokers in expansion states were larger relative to health gains (1.6 percentage points; 95% CI, 0.5-2.7; P = .003) and insurance gains (4.6 percentage points; 95% CI, 3.5-5.8; P < .001) of all low-income adults in these states.

CONCLUSIONS

Greater improvements among low-income smokers in Medicaid expansion states compared with nonexpansion states could influence future smoking behaviors and warrant longer-term monitoring. Additionally, health and insurance gains among low-income smokers in expansion states suggest the potential for Medicaid expansion to improve health among smokers compared with nonsmokers.

The Impact of Insurance Gain and Discussions with Healthcare Providers on Quitting Smoking

Tobacco use is the leading preventable cause of death in the United States. Analyzing the ability for different mechanisms to reduce smoking rates can provide healthcare systems with information to establish the most effective smoking cessation efforts. Health insurance provides individuals with direct mechanisms to curb smoking behavior, such as access to smoking cessation resources. Gaining insurance may additionally indirectly influence smoking cessation by altering risk perceptions. Behavioral economic theory suggests that gaining health insurance may reduce current smokers' rate of discounting on the future, which could increase smoking cessation. This article aimed to evaluate the impact of insurance status (i.e., gaining any private (n = 681), gaining only public (n = 647), or remaining uninsured (n = 5,056)) as well as the impact of having a discussion with a healthcare provider about quitting smoking on smoking cessation among current adult smokers who were uninsured at the beginning of their data collection. Data for this study came from the Medical Expenditure Panel Survey 2003 to 2014 database. The study found that while individuals gaining public insurance was not statistically associated with smoking cessation, individuals who gained private insurance were more likely to stop smoking than individuals who remained uninsured (OR: 1.330; 95% CI: 1.019,1.737; p = 0.036). Having a discussion with a healthcare provider about quitting smoking was not associated with smoking cessation. These findings indicate that gaining private insurance may impact smoking behavior through mechanisms other than direct access to physician services.

Medicaid Coverage Expansions and Cigarette Smoking Cessation Among Low-income Adults

INTRODUCTION

Expanding Medicaid coverage to low-income adults may have increased smoking cessation through improved access to evidence-based treatments. Our study sought to determine if states' decisions to expand Medicaid increased recent smoking cessation.

METHODS

Using pooled cross-sectional data from the Behavioral Risk Factor Surveillance Survey for the years 2011-2015, we examined the association between state Medicaid coverage and the probability of recent smoking cessation among low-income adults without dependent children who were current or former smokers (n=36,083). We used difference-in-differences estimation to examine the effects of Medicaid coverage on smoking cessation, comparing low-income adult smokers in states with Medicaid coverage to comparable adults in states without Medicaid coverage, with ages 18-64 years to those ages 65 years and above. Analyses were conducted for the full sample and stratified by sex.

RESULTS

Residence in a state with Medicaid coverage among low-income adult smokers ages 18-64 years was associated with an increase in recent smoking cessation of 2.1 percentage points (95% confidence interval, 0.25-3.9). In the comparison group of individuals ages 65 years and above, residence in a state with Medicaid coverage expansion was not associated with a change in recent smoking cessation (-0.1 percentage point, 95% confidence interval, -2.1 to 1.8). Similar increases in smoking cessation among those ages 18-64 years were estimated for females and males (1.9 and 2.2 percentage point, respectively).

CONCLUSION

Findings are consistent with the hypothesis that Medicaid coverage expansions may have increased smoking cessation among low-income adults without dependent children via greater access to preventive health care services, including evidence-based smoking cessation services.

Healthcare financing systems for increasing the use of tobacco dependence treatment

BACKGROUND

Tobacco smoking is the leading preventable cause of death worldwide, which makes it essential to stimulate smoking cessation. The financial cost of smoking cessation treatment can act as a barrier to those seeking support. We hypothesised that provision of financial assistance for people trying to quit smoking, or reimbursement of their care providers, could lead to an increased rate of successful quit attempts. This is an update of the original 2005 review.

OBJECTIVES

The primary objective of this review was to assess the impact of reducing the costs for tobacco smokers or healthcare providers for using or providing smoking cessation treatment through healthcare financing interventions on abstinence from smoking. The secondary objectives were to examine the effects of different levels of financial support on the use or prescription of smoking cessation treatment, or both, and on the number of smokers making a quit attempt (quitting smoking for at least 24 hours). We also assessed the cost effectiveness of different financial interventions, and analysed the costs per additional quitter, or per quality-adjusted life year (QALY) gained.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register in September 2016.

SELECTION CRITERIA

We considered randomised controlled trials (RCTs), controlled trials and interrupted time series studies involving financial benefit interventions to smokers or their healthcare providers, or both.

DATA COLLECTION AND ANALYSIS

Two reviewers independently extracted data and assessed the quality of the included studies. We calculated risk ratios (RR) for individual studies on an intention-to-treat basis and performed meta-analysis using a random-effects model.

MAIN RESULTS

In the current update, we have added six new relevant studies, resulting in a total of 17 studies included in this review involving financial interventions directed at smokers or healthcare providers, or both.Full financial interventions directed at smokers had a favourable effect on abstinence at six months or longer when compared to no intervention (RR 1.77, 95% CI 1.37 to 2.28, I² = 33%, 9333 participants). There was no evidence that full coverage interventions increased smoking abstinence compared to partial coverage interventions (RR 1.02, 95% CI 0.71 to 1.48, I² = 64%, 5914 participants), but partial coverage interventions were more effective in increasing abstinence than no intervention (RR 1.27 95% CI 1.02 to 1.59, I² = 21%, 7108 participants). The economic evaluation showed costs per additional quitter ranging from USD 97 to USD 7646 for the comparison of full coverage with partial or no coverage.There was no clear evidence of an effect on smoking cessation when we pooled two trials of financial incentives directed at healthcare providers (RR 1.16, CI 0.98 to 1.37, I² = 0%, 2311 participants).Full financial interventions increased the number of participants making a quit attempt when compared to no interventions (RR 1.11, 95% CI 1.04 to 1.17, I² = 15%, 9065 participants). There was insufficient evidence to show whether partial financial interventions increased quit attempts compared to no interventions (RR 1.13, 95% CI 0.98 to 1.31, I² = 88%, 6944 participants).Full financial interventions increased the use of smoking cessation treatment compared to no interventions with regard to various pharmacological and behavioural treatments: nicotine replacement therapy (NRT): RR 1.79, 95% CI 1.54 to 2.09, I² = 35%, 9455 participants; bupropion: RR 3.22, 95% CI 1.41 to 7.34, I² = 71%, 6321 participants; behavioural therapy: RR 1.77, 95% CI 1.19 to 2.65, I² = 75%, 9215 participants.There was evidence that partial coverage compared to no coverage reported a small positive effect on the use of bupropion (RR 1.15, 95% CI 1.03 to 1.29, I² = 0%, 6765 participants). Interventions directed at healthcare providers increased the use of behavioural therapy (RR 1.69, 95% CI 1.01 to 2.86, I² = 85%, 25820 participants), but not the use of NRT and/or bupropion (RR 0.94, 95% CI 0.76 to 1.18, I² = 6%, 2311 participants).We assessed the quality of the evidence for the main outcome, abstinence from smoking, as moderate. In most studies participants were not blinded to the different study arms and researchers were not blinded to the allocated interventions. Furthermore, there was not always sufficient information on attrition rates. We detected some imprecision but we judged this to be of minor consequence on the outcomes of this study.

AUTHORS' CONCLUSIONS

Full financial interventions directed at smokers when compared to no financial interventions increase the proportion of smokers who attempt to quit, use smoking cessation treatments, and succeed in quitting. There was no clear and consistent evidence of an effect on smoking cessation from financial incentives directed at healthcare providers. We are only moderately confident in the effect estimate because there was some risk of bias due to a lack of blinding in participants and researchers, and insufficient information on attrition rates.

Uninsured Primary Care Visit Disparities Under the Affordable Care Act

PURPOSE

Health insurance coverage affects a patient's ability to access optimal care, the percentage of insured patients on a clinic's panel has an impact on the clinic's ability to provide needed health care services, and there are racial and ethnic disparities in coverage in the United States. Thus, we aimed to assess changes in insurance coverage at community health center (CHC) visits after the Patient Protection and Affordable Care Act (ACA) Medicaid expansion by race and ethnicity.

METHODS

We undertook a retrospective, observational study of visit payment type for CHC patients aged 19 to 64 years. We used electronic health record data from 10 states that expanded Medicaid and 6 states that did not, 359 CHCs, and 870,319 patients with more than 4 million visits. Our analyses included difference-in-difference (DD) and difference-in-difference-in-difference (DDD) estimates via generalized estimating equation models. The primary outcome was health insurance type at each visit (Medicaid-insured, uninsured, or privately insured).

RESULTS

After the ACA was implemented, uninsured visit rates decreased for all racial and ethnic groups. Hispanic patients experienced the greatest increases in Medicaid-insured visit rates after ACA implementation in expansion states (rate ratio [RR] = 1.77; 95% CI, 1.56-2.02) and the largest gains in privately insured visit rates in nonexpansion states (RR = 3.63; 95% CI, 2.73-4.83). In expansion states, non-Hispanic white patients had twice the magnitude of decrease in uninsured visits compared with Hispanic patients (DD = 2.03; 95% CI, 1.53-2.70), and this relative change was more than 2 times greater in expansion states compared with nonexpansion states (DDD = 2.06; 95% CI, 1.52-2.78).

CONCLUSION

The lower rates of uninsured visits for all racial and ethnic groups after ACA implementation suggest progress in expanding coverage to CHC patients; this progress, however, was not uniform when comparing expansion with nonexpansion states and among all racial and ethnic minority subgroups. These findings suggest the need for continued and more equitable insurance expansion efforts to eliminate health insurance disparities.

Medicaid's Impact on Chronic Disease Biomarkers: A Cohort Study of Community Health Center Patients

BACKGROUND

Understanding the impact of health insurance is critical, particularly in the era of Affordable Care Act Medicaid expansion. The electronic health record (EHR) provides new opportunities to quantify health outcomes.

OBJECTIVE

To assess changes in biomarkers of chronic disease among community health center (CHC) patients who gained Medicaid coverage with the Oregon Medicaid expansion (2008-2011).

DESIGN

Prospective cohort. Patients were followed for 24 months, and rate of mean biomarker change was calculated. Time to a controlled follow-up measurement was compared using Cox regression models.

SETTING/PATIENTS

Using EHR data from OCHIN (a non-profit network of CHCs) linked to state Medicaid data, we identified three cohorts of patients with uncontrolled chronic conditions (diabetes, hypertension, and hyperlipidemia). Within these cohorts, we included patients who gained Medicaid coverage along with a propensity score-matched comparison group who remained uninsured (diabetes n = 608; hypertension n = 1244; hyperlipidemia n = 546).

MAIN MEASURES

Hemoglobin A1c (HbA1c) for the diabetes cohort, systolic and diastolic blood pressure (SBP and DBP, respectively) for the hypertension cohort, and low-density lipoprotein (LDL) for the hyperlipidemia cohort.

KEY RESULTS

All cohorts improved over time. Compared to matched uninsured patients, adults in the diabetes and hypertension cohorts who gained Medicaid coverage were significantly more likely to have a follow-up controlled measurement (hazard ratio [HR] =1.26, p = 0.020; HR = 1.35, p < 0.001, respectively). No significant difference was observed in the hyperlipidemia cohort (HR = 1.09, p = 0.392).

CONCLUSIONS

OCHIN patients with uncontrolled chronic conditions experienced objective health improvements over time. In two of three chronic disease cohorts, those who gained Medicaid coverage were more likely to achieve a controlled measurement than those who remained uninsured. These findings demonstrate the effective care provided by CHCs and the importance of health insurance coverage within a usual source of care setting.

CLINICAL TRIALS REGISTRATION

NCT02355132 [ https://clinicaltrials.gov/ct2/show/NCT02355132 ].

Changing Trends of Atherosclerotic Risk Factors Among Patients With Acute Myocardial Infarction and Acute Ischemic Stroke

We aimed to evaluate the secular trends in demographics, risk factors, and clinical characteristics of patients presenting with acute myocardial infarction (AMI) or acute ischemic stroke (AIS), using a large nationally representative data set of in-hospital admissions. We used the 2003 to 2013 Nationwide Inpatient Sample. All admissions with primary diagnosis of AMI or AIS were included. Across 2003 to 2013, a total of 1,360,660 patients with AMI and 937,425 patients with AIS were included in the study. We noted a progressive reduction in the mean age of patients presenting with AMI and AIS (p trend <0.001 for all groups), implying that the burden of young patients with these acute syndromes is progressively increasing. In addition, there was a progressive increase in the proportion of patients who are uninsured among patients presenting with AMI and AIS. Furthermore, despite a progressively younger age at presentation, there was an observed increase in the prevalence of atherosclerotic risk factors including hypertension, hyperlipidemia, diabetes, smoking, and obesity among patients presenting with AMI or AIS during 2003 to 2013. Significant disparities were noted in the prevalence of risk factors among various demographic and geographical cohorts. Low socioeconomic status as well as uninsured patients had a significantly higher prevalence of preventable risk factors like smoking and obesity as compared to the high socioeconomic status and insured patients, respectively. In conclusion, there have been significant changes in the risk factor profile of patients presenting with AMI and AIS over the last decade.