Racial disparities in healthcare provider advice to quit smoking

Achieving Health Equity in the Care of Patients with Heart Failure

PURPOSE OF REVIEW

To discuss the prevailing racial and ethnic disparities in heart failure (HF) care by identifying barriers to equitable care and proposing solutions for achieving equitable outcomes.

RECENT FINDINGS

Throughout the entire spectrum of HF care, from prevention to implementation of guideline-directed medical therapy and advanced interventions, racial and ethnic disparities exist. Factors such as differential distribution of risk factors, poor access to care, inadequate representation in clinical trials, and discrimination from healthcare clinicians, among others, contribute to these disparities. Recent data suggests that despite improvements, disparities prevail in several aspects of HF care, hindering our progress towards equity in HF care. This review highlights the urgent need to address racial and ethnic disparities in HF care, emphasizing the importance of a multifaceted approach involving policy changes, quality improvement strategies, targeted interventions, and intentional community engagement. Our proposed framework was derived from existing research and emphasizes integrating equity into routine quality improvement efforts, tailoring interventions to specific populations, and advocating for policy transformation. By acknowledging these disparities, implementing evidence-based strategies, and fostering collaborative efforts, the HF community can strive to reduce disparities and achieve equity in HF care.

Association of racial discrimination in health care settings and use of electronic cigarettes to quit smoking among Black adults

INTRODUCTION

Black people are disproportionately burdened by tobacco-related diseases and are less successful at cigarette cessation with current treatments. We know little about the effectiveness of e-cigarettes as a smoking cessation method compared to currently approved methods in Black adults who smoke. Many Black adults report experiencing racial discrimination in health care, but if discrimination is related to utilization of smoking cessation aids including e-cigarettes and success with smoking cessation in this population is unclear. Therefore, this exploratory study aimed to understand how negative experiences and racial discrimination in health care influence use of e-cigarettes for cigarette cessation and success with cigarette cessation among Black adults.

METHODS

The study interviewed 201 Black adults who used cigarettes and tried to quit in their lifetime from the Family and Community Health Study in 2016. The study asked if they had tried and successfully quit cigarettes with e-cigarettes vs. other methods (support groups, medications, nicotine replacement therapies, call-in help lines, cold turkey [quit on their own], counseling) and asked about their negative experiences and racial discrimination in health care. We performed separate logistic regressions that evaluated the association of negative experiences and racial discrimination in health care with 1) use of e-cigarettes for cigarette cessation vs. other quitting methods and 2) success with cigarette cessation using any method among Black adults while controlling for age, sex, socioeconomic status, health insurance status, and age of onset of cigarette use.

RESULTS

More reported negative experiences and racial discrimination in health care were associated with ever trying to quit with e-cigarettes compared to other methods (OR:1.75, 95 % CI [1.05-2.91]), but negative experiences and racial discrimination in health care were not associated with cigarette quitting success. Interestingly, trying e-cigarettes was associated with being less successful at quitting compared to using other methods to quit smoking (OR: 0.40, 95 % CI [0.20, 0.81]).

CONCLUSIONS

These results suggest that educating health care professionals that anticipated discrimination in health care settings may be driving Black adults who smoke to engage in non-evidence-based smoking cessation practices, such as e-cigarettes instead of those that are evidence-based, and may be more effective in this population.

Trends in Racial Disparities in Healthcare Expenditures Among Senior Medicare Fee-for-service Enrollees in 2007-2020

Despite the universal healthcare coverages, racial disparities in healthcare expenditures among senior Medicare beneficiaries exist. A few studies explored how racial disparities in healthcare expenditures changed over past decades and how it affected differently across 4 minoritized races, by type of Medicare and poverty levels. We conducted a longitudinal study of 21 healthcare expenditures from senior Medicare fee-for-service enrollees to determine overall and secular trends in racial disparities in healthcare expenditures between 2007 and 2020, during which the Affordable Care Act (ACA) came into full force and the COVID-19 pandemic had begun. We found important disparities in healthcare expenditures across 4 minoritized races compared to Whites, even after adjusting for possible confounders for such disparities. Disparities between Hispanics/Asians and Whites were much greater than disparities between Blacks and Whites, in all Parts A, B, and D expenditures. This reality has not been sufficiently emphasized in the literature. Importantly, Black-White disparities in total Part B expenditure gradually worsened between 2007 and 2020, and Hispanic-White and Asian-White disparities worsened greatly during that time window. Health planners need to focus on these large disparities and develop methods to shrink them.

Cluster Randomized Pragmatic Clinical Trial Testing Behavioral Economic Implementation Strategies to Improve Tobacco Treatment for Patients With Cancer Who Smoke

PURPOSE

Few cancer centers systematically engage patients with evidence-based tobacco treatment despite its positive effect on quality of life and survival. Implementation strategies directed at patients, clinicians, or both may increase tobacco use treatment (TUT) within oncology.

METHODS

We conducted a four-arm cluster-randomized pragmatic trial across 11 clinical sites comparing the effect of strategies informed by behavioral economics on TUT engagement during oncology encounters with cancer patients. We delivered electronic health record (EHR)-based nudges promoting TUT across four nudge conditions: patient only, clinician only, patient and clinician, or usual care. Nudges were designed to counteract cognitive biases that reduce TUT engagement. The primary outcome was TUT penetration, defined as the proportion of patients with documented TUT referral or a medication prescription in the EHR. Generalized estimating equations were used to estimate the parameters of a linear model.

RESULTS

From June 2021 to July 2022, we randomly assigned 246 clinicians in 95 clusters, and collected TUT penetration data from their encounters with 2,146 eligible patients who smoke receiving oncologic care. Intent-to-treat (ITT) analysis showed that the clinician nudge led to a significant increase in TUT penetration versus usual care (35.6% v 13.5%; OR = 3.64; 95% CI, 2.52 to 5.24; P < .0001). Completer-only analysis (N = 1,795) showed similar impact (37.7% clinician nudge v 13.5% usual care; OR = 3.77; 95% CI, 2.73 to 5.19; P < .0001). Clinician type affected TUT penetration, with physicians less likely to provide TUT than advanced practice providers (ITT OR = 0.67; 95% CI, 0.51 to 0.88; P = .004).

CONCLUSION

EHR nudges, informed by behavioral economics and aimed at oncology clinicians, appear to substantially increase TUT penetration. Adding patient nudges to the implementation strategy did not affect TUT penetration rates.

Attitudes about Cigarette Smoking, Perceived Consequences of Smoking, and Seeking Assistance with Cessation among Black and White Cigarette Smokers: A Qualitative Study

Introduction

Research has identified significant racial differences in cigarette smoking behavior, associated disease risk, likelihood of cessation, and mortality from smoking-related diseases. The current study assessed, via qualitative narrative analysis, racial differences in participants' motivations for smoking, perceived consequences of smoking, and how participants deal with cravings/withdrawal, as well as thoughts and feelings about quitting, seeking assistance with quitting, and the importance of social support in quitting.

Methods

Semistructured interviews were conducted with 11 Black and 11 White cigarette smokers. Data were analyzed using the Thematic Networks Analysis process, which entailed coding the data and constructing thematic networks by identifying basic and organizing themes.

Results

While there were no descriptive racial differences identified in participants' motivation for smoking or perceived consequences of smoking, differences existed between Blacks and Whites in terms of approaches in dealing with smoking cravings and withdrawal, perceived self-efficacy in controlling cravings, preferred methods of learning about and receiving smoking cessation assistance, and overall preference for receiving cessation-related support.

Conclusions

Further investigation is needed into racial differences in methods to deal with cigarette cravings and withdrawal, preferences for receiving cessation information, and social support for cessation. This research will further develop our understanding of and ability to address factors underlying racial disparities in smoking behavior and cessation, as well as inform the development of future smoking cessation interventions.

Addressing Tobacco Use in Underserved Communities Outside of Primary Care: The Need to Tailor Tobacco Cessation Training for Community Health Workers

Individuals from communities with a low socioeconomic status have the highest rates of tobacco use but are less likely to receive assistance with quitting. Community health workers (CHWs) are well-positioned to engage these communities; however, CHWs face barriers in receiving relevant tobacco cessation training. The objective of this study was to conduct a mixed methods needs assessment to describe tobacco practices and the desire for training among CHWs. After incorporating CHW feedback, we developed a needs assessment survey to understand knowledge, practices, and attitudes about tobacco cessation in Chicago, IL. CHWs (N = 23) recruited from local community-based organizations completed the survey online or in-person. We then conducted a focus group with CHWs (N = 6) to expand upon the survey and used the Framework Method to analyze the qualitative data. CHWs reported that their clients had low incomes, low literacy levels, and high smoking rates (e.g., "99%" of patients). About 73.3% reported discussing tobacco use during visits, but fewer reported that they had provided cessation advice (43%) or intervened directly (9%). CHWs described high variability in their work environments (e.g., location, duration, content of visits, etc.) and greater continuity of care. CHWs discussed that existing training on how to conduct tobacco interventions is ineffective, because of its stand-alone design. Our findings illustrate how CHWs adapt to their clients' needs, and that the currently available "gold-standard" cessation curricula are incompatible with the training needs and flexible care delivery model of CHWs. A curriculum tailored to the CHW experience is needed to maximize the strengths of the CHW care model by training CHWs to adaptively intervene regarding tobacco use in their highly burdened patients.

Integrating Tobacco Use Assessment and Treatment in the Oncology Setting: Quality Improvement Results from the Georgetown Lombardi Smoking Treatment and Recovery Program

As part of the NCI’s Cancer Center Cessation (C3i) initiative, we initiated, expanded, and maintained an evidence-based tobacco treatment program at the Georgetown Lombardi Comprehensive Cancer Center. We present a quality improvement (QI) assessment of the implementation process and patient-level outcomes. At two hematology/oncology outpatient clinical sites, five oncology-based teams (clinical administrators, clinical staff, pharmacy, information technology, and tobacco treatment staff) developed implementation strategies for opt-out patient assessment and enrollment, centralized tobacco treatment, audit, feedback, and staff training. Among eligible patients (tobacco use in ≤30 days), we assessed demographic, clinical, and tobacco-related characteristics to examine predictors of enrollment (baseline completed), treatment engagement (≥one sessions completed), and self-reported 7-day abstinence (6 months post-enrollment). Across both sites, medical assistants screened 19,344 (82.4%) patients for tobacco use, which identified 1345 (7.0%) current tobacco users, in addition to 213 clinician referrals. Of the 687/1256 (54.7%) eligible patients reached, 301 (43.8%) enrolled, and 199 (29.0%) engaged in treatment, of whom 74.5% were African American and 68% were female. At the larger site, significant multivariate predictors of enrollment included African American race (vs. white/other) and clinician referral (vs. MA assessment). Treatment engagement was predicted by greater nicotine dependence, and abstinence (27.4%) was predicted by greater treatment engagement. In summary, the systematic utilization of multiple oncology-based teams and implementation strategies resulted in the development and maintenance of a high-quality, population-based approach to tobacco treatment. Importantly, these strategies addressed inequities in tobacco treatment, as the program reached and engaged a majority-African-American patient population. Finally, the opt-out patient assessment strategy has been implemented in multiple oncology settings at MedStar Health through the Commission on Cancer’s Just Ask program.

Patient-Reported Receipt of Oncology Clinician-Delivered Brief Tobacco Treatment (5As) Six Months following Cancer Diagnosis

INTRODUCTION

Smoking after a cancer diagnosis represents a modifiable health risk. It is recommended that oncology clinicians address tobacco use among their patients using the 5As brief model: Asking about use, Advising users to quit, Assessing willingness to quit, Assisting in quit attempts (counseling and medication), and Arranging follow-up. However, cross-sectional studies have found limited adoption of 5As (especially Assist and Arrange) in oncology settings. Further investigation is needed to understand changes in, and factors associated with, 5As delivery over time.

METHODS

Patients recently diagnosed with cancer and reporting current smoking (N = 303) enrolled in a smoking cessation clinical trial and completed three longitudinal surveys; at pre-intervention baseline and 3- and 6-month follow-up post-enrollment. Patient-level correlates of 5As receipt at baseline, 3 months, and 6 months were identified using multilevel regression models.

RESULTS

At baseline, patient-reported rates of 5As receipt from oncology clinicians ranged from 85.17% (Ask) to 32.24% (Arrange). Delivery declined from baseline to 6-month follow-up for all 5As, with the largest declines observed for Ask, Advise, Assess, and Assist-Counseling. Diagnosis of a smoking-related cancer was associated with greater odds of 5As receipt at baseline but lower odds at 6-month follow-up. At each time point, female gender, religiosity, advanced disease, cancer-related stigma, and smoking abstinence were associated with lower odds of 5As receipt, while reporting a recent quit attempt prior to enrollment was associated with higher odds of 5As receipt.

CONCLUSION

Oncology clinicians' 5As delivery declined over time. Clinician delivery of the 5As varied based on patients' sociodemographics, clinical and smoking characteristics, and psychosocial factors.

Who's Quitting? Who Needs Additional Support? Cessation Disparities by Race, Education, and Income, 2007 to 2018

PURPOSE

The current study (1) examines how disparities in quitting cigarette and other tobacco product use have changed by race and socioeconomic status and (2) utilizes an expanded measure, any tobacco quit ratio (aQR), that extends previous work on cigarette quit ratios and captures use and cessation in a growing tobacco marketplace.

DESIGN

Repeated cross-sectional representative survey; Setting: Minnesota.

SUBJECTS

Adult Minnesotans from the 2007 and 2018 Minnesota Adult Tobacco Survey (combined N=9,258).

MEASURES

Cigarette QR (cQR), aQR (cigarette, cigar, smokeless, pipe, e-cigarette, hookah), past year quit attempts, and recent cessation.

ANALYSIS

Weights ensured statewide representativeness. Regression analyses tested for differences by race (Black vs White), income (low vs medium/high), and education (low vs medium/high) across survey years.

RESULTS

cQRs and aQRs were relatively high among White respondents and those with medium-high education and income. The disparity in aQR between White and Black respondents decreased from 2007 to 2018. Black respondents were more likely to try to quit than White respondents but were less likely to report recent cessation.

CONCLUSION

Cessation disparities by race and socioeconomic status have changed little between 2007 and 2018, and the magnitude of the disparity for several cessation indicators remains large. Public health professionals and medical practitioners can play a key role in reducing disparities by supporting public policies and cessation interventions that target social determinants of health and associated barriers to quitting.

Proposing a Model of Proactive Outreach to Advance Clinical Research and Care Delivery for Patients Who Use Tobacco

There are evidence-based treatments for tobacco dependence, but inequities exist in the access to and reach of these treatments. Traditional models of tobacco treatment delivery are "reactive" and typically provide treatment only to patients who are highly motivated to quit and seek out tobacco treatment. Newer models involve "proactive" outreach, with benefits that include increasing access to tobacco treatment, prompting quit attempts among patients with low motivation, addressing health disparities, and improving population-level quit rates. However, the definition of "proactive" is not clear, and adoption has been slow. This commentary introduces a comprehensive yet flexible model of proactive outreach and describes how proactive outreach can optimize clinical research and care delivery in these domains: (1) identifying the population, (2) offering treatment, and (3) delivering treatment. Dimensions relevant to each domain are the intensity of proactive outreach (low to high) and the extent to which proactive outreach activities rely on human interaction or are facilitated by information technology (IT). Adoption of the proposed proactive outreach model could improve the precision and rigor with which tobacco cessation research and tobacco treatment programs report data, which could have a positive effect on care delivery and patient outcomes.

Do Patients with Major Non-Communicable Diseases Receive Advice on Health Behaviors from Healthcare Professionals in the Gaza Strip, Palestine?

BACKGROUND

NCDs tend to be long-term and are caused by genetic, physiological, environmental, and behavioral factors. Currently, NCDs account for 71% of deaths globally. The current study aimed to explore whether patients with NCDs receive advice on health behaviors from healthcare professionals in the PHCs in the Gaza Strip, Palestine.

METHODS

This research applied a cross-sectional survey design in five PHCs from October 2019 to December 2019, with 360 patients selected using a convenience sampling technique. A structured questionnaire on sociodemographic, history and patients' views on receiving advice on health behaviors from health care professionals was developed and collected. Data were analyzed using descriptive analyses and a One-way ANOVA test through SPSS-v22.

RESULTS

The patients reported receiving advice as follows: in terms of regular physical activity (54.5% ±13.6), in terms of eating a heart-healthy diet (49.3% ±11.5), in terms of treatment adherence (86.1% ±8.1), and in terms of stop tobacco for smokers' patients (43.9% ±16.8). Statistically significant differences were found between the five Gaza strip governorates in terms of regular physical activity, eating heart-healthy, and treatment adherence (P values <.05 for all).

CONCLUSION

Participants claimed that the vast majority of them had received advice from healthcare professionals regarding attending regular follow-up and treatment adherence. In contrast, participants reported receiving advice from health care professionals regarding regular physical activity, eating a healthy diet, and stopping tobacco are suboptimal. There is a need to develop a strategy to ensure that healthcare professionals are committed to providing advice on health behaviors.

Gaps in Knowledge and Practice in Treating Tobacco Use Among Non-physician Healthcare Professionals and Lay Health Workers in Chicago, Illinois

OBJECTIVE

To conduct a needs assessment for lay health workers and non-physician healthcare professionals [i.e., community health workers (CHW) and lung health professionals who spend more time face-to-face with tobacco-related disparity populations] to describe current gaps in tobacco cessation practices and knowledge.

METHODS

A 46-item needs assessment survey was developed to understand knowledge, practices, and confidence about tobacco cessation among non-physician health professionals in a large, urban city in the U.S. Participants, recruited from local community-based organizations and email listservs, completed the online or paper survey, which included a 10-item investigator-initiated tobacco knowledge questionnaire.

RESULTS

About 61.5% of participants (N = 53) asked each client/patient about tobacco use at initial visit, 41.8% reported extreme likelihood of discussing tobacco during a visit, and 43.1% reported addressing tobacco use directly. Despite assisting with cessation, tobacco-related knowledge and confidence was low, with respondents scoring an average of 4.08 out of 10 (SD = 2.21) on the tobacco knowledge questionnaire.

CONCLUSION

There was a clear lack of knowledge about tobacco cessation in the U.S. among non-physician healthcare professionals. These professionals could benefit from trainings that are relevant to their model of care and better equip them to assist the disparity populations that they serve.

Exploring the Role of Traumatic Event Exposure in Tobacco Dependence Treatment Outcomes Among African Americans

African Americans are more likely to die from tobacco-related diseases and less likely to quit smoking than their white counterparts. Evidence of greater prevalence of posttraumatic stress disorder (PTSD) among African Americans underscores the importance of studying the effects of traumatic event exposure on tobacco dependence treatment outcomes in this group. In this secondary analysis of data from a previously completed randomized control trial, we examined the effects of traumatic event exposure (e.g., serious accident) on tobacco dependence treatment outcomes, as well its moderating effects on the effectiveness of an adapted smoking cessation treatment, in a sample (n = 169) of African American smokers in New York City. Traumatic event exposure did not have a significant impact on tobacco treatment outcomes and did not moderate the relationship between treatment type and outcomes in this sample. While results may be driven by unique sample characteristics, they may also indicate that an average level of traumatic event exposure does not significantly impact tobacco treatment outcomes among African Americans. Future research should examine the effects of higher levels of traumatic event exposure on treatment outcomes, as well as investigating the factors underlying trauma-exposed individuals' difficulties with reducing/quitting smoking in a larger, more diverse African American sample.

Do the 2013 United States Preventive Services Task Force guidelines for lung cancer screening fail high-risk African American smokers? An institutional retrospective observational cohort study

BACKGROUND

Lung cancer cause nearly 1.76 million deaths worldwide in 2018. In 2011, the National-Lung-Cancer-Screening-Trial showed 20% relative risk reduction with LDCT and subsequently led to the current USPSTF screening guidelines. However, the predominant focus on elderly, Caucasian questions its generalizability to communities with young, African Americans such as our institution. Hence, the objective of our study is to investigate the need to modify the current screening guidelines at our institution by assessing the applicability of newer individual risk-based prediction models for LDCT screening.

METHODS

This is a retrospective observational cohort study of newly diagnosed lung cancer patients at LSU Health Sciences Center Shreveport from 2011 to 2015. One-third of the patients did not meet the current USPSTF screening guidelines. We categorized them into high-risk (groups1 and 2), moderate-risk, and low-risk according to 2018 NCCN Lung Cancer Screening Guidelines Version 1.2020. The high-risk groups were differentiated using the Tammemagi lung cancer risk calculator.

RESULTS

Among those who did not meet the screening guidelines, nearly 50% were African American, 95% with known smoking history, and 80% diagnosed at advanced stage at the time of diagnosis. After employing the Tammemagi Risk based calculator, 12.5% were categorized into high-risk group 2, who are also eligible for annual LDCT.

CONCLUSION

The current USPSTF guidelines have failed in our population consisting of young African American smokers, questioning the health disparity in medicine. By employing individual risk-based prediction models, we could potentially identify tailored high-risk populations leading to appropriate use of LDCT screening.

Operationalizing the Population Health Framework: Clinical Characteristics, Social Context, and the Built Environment

As a framework, population health emphasizes health outcomes for entire populations, the broad range of determinants of these outcomes, and the comparative effectiveness of medical and public health interventions. In practice, however, many contemporary population health programs instead focus on small subsets of patients who account for a disproportionate share of health care utilization, often with disappointing results. The authors proposed a new approach to operationalize population health in clinical settings, with the example of tobacco use. Electronic health record (EHR) data from a mid-Atlantic health system were used to: (1) define and describe a hospital-based population of current smokers, (2) analyze the demographic characteristics of the population to consider how the social context may impact treatment, and (3) join EHR data with public licensing data on tobacco retail locations to assess the relationship between the built environment and smoking status. Out of a total of 20,310 unique adult admissions to the health system, 3749 (18.5%) were current smokers. Compared to never smokers, current smokers were significantly younger, more likely to be male, more likely to be Black/African American, less likely to be Hispanic/Latino/a, and more likely to be on Medicaid or be self-pay. Current vs. former smokers had significantly higher exposure to tobacco retail locations, even after adjusting for demographic and other covariates. By defining populations around leading modifiable medical determinants of health, and accounting for the larger context of sociodemographic factors and the built environment, health systems can invest in comprehensive programs designed to produce the greatest population health returns.

Rationale and protocol for a cluster randomized pragmatic clinical trial testing behavioral economic implementation strategies to improve tobacco treatment rates for cancer patients who smoke

BACKGROUND

Routine evidence-based tobacco use treatment minimizes cancer-specific and all-cause mortality, reduces treatment-related toxicity, and improves quality of life among patients receiving cancer care. Few cancer centers employ mechanisms to systematically refer patients to evidence-based tobacco cessation services. Implementation strategies informed by behavioral economics can increase tobacco use treatment engagement within oncology care.

METHODS

A four-arm cluster-randomized pragmatic trial will be conducted across nine clinical sites within the Implementation Science Center in Cancer Control Implementation Lab to compare the effect of behavioral economic implementation strategies delivered through embedded messages (or "nudges") promoting patient engagement with the Tobacco Use Treatment Service (TUTS). Nudges are electronic medical record (EMR)-based messages delivered to patients, clinicians, or both, designed to counteract known patient and clinician biases that reduce treatment engagement. We used rapid cycle approaches (RCA) informed by relevant stakeholder experiences to refine and optimize our implementation strategies and methods prior to trial initiation. Data will be obtained via the EMR, clinician survey, and semi-structured interviews with a subset of clinicians and patients. The primary measure of implementation is penetration, defined as the TUTS referral rate. Secondary outcome measures of implementation include patient treatment engagement (defined as the number of patients who receive FDA-approved medication or behavioral counseling), quit attempts, and abstinence rates. The semi-structured interviews, guided by the Consolidated Framework for Implementation Research, will assess contextual factors and patient and clinician experiences with the nudges.

DISCUSSION

This study will be the first in the oncology setting to compare the effectiveness of nudges to clinicians and patients, both head-to-head and in combination, as implementation strategies to improve TUTS referral and engagement. We expect the study to (1) yield insights into the effectiveness of nudges as an implementation strategy to improve uptake of evidence-based tobacco use treatment within cancer care, and (2) advance our understanding of the multilevel contextual factors that drive response to these strategies. These results will lay the foundation for how patients with cancer who smoke are best engaged in tobacco use treatment and may lead to future research focused on scaling this approach across diverse centers.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT04737031 . Registered 3 February 2021.

An electronic health record-based interoperable eReferral system to enhance smoking Quitline treatment in primary care

OBJECTIVE

The study sought to determine whether interoperable, electronic health record-based referral (eReferral) produces higher rates of referral and connection to a state tobacco quitline than does fax-based referral, thus addressing low rates of smoking treatment delivery in health care.

MATERIALS AND METHODS

Twenty-three primary care clinics from 2 healthcare systems (A and B) in Wisconsin were randomized, unblinded, over 2016-2017, to 2 smoking treatment referral methods: paper-based fax-to-quit (system A =6, system B = 6) or electronic (eReferral; system A = 5, system B = 6). Both methods referred adult patients who smoked to the Wisconsin Tobacco Quitline. A total of 14 636 smokers were seen in the 2 systems (system A: 54.5% women, mean age 48.2 years; system B: 53.8% women, mean age 50.2 years).

RESULTS

Clinics with eReferral, vs fax-to-quit, referred a higher percentage of adult smokers to the quitline: system A clinic referral rate = 17.9% (95% confidence interval [CI], 17.2%-18.5%) vs 3.8% (95% CI, 3.5%-4.2%) (P < .001); system B clinic referral rate = 18.9% (95% CI, 18.3%-19.6%) vs 5.2% (95% CI, 4.9%-5.6%) (P < .001). Average rates of quitline connection were higher in eReferral than F2Q clinics: system A = 5.4% (95% CI, 5.0%-5.8%) vs 1.3% (95% CI, 1.1%-1.5%) (P < .001); system B = 5.3% (95% CI, 5.0%-5.7%) vs 2.0% (95% CI, 1.8%-2.2%) (P < .001).

DISCUSSION

Electronic health record-based eReferral provided an effective, closed-loop, interoperable means of referring patients who smoke to telephone quitline services, producing referral rates 3-4 times higher than the current standard of care (fax referral), including especially high rates of referral of underserved individuals.

CONCLUSIONS

eReferral may help address the challenge of providing smokers with treatment for tobacco use during busy primary care visits.ClinicalTrials.gov; No. NCT02735382.

Evidence-based smoking cessation treatment: a comparison by healthcare system

BACKGROUND

A systems-level approach to smoking cessation treatment may optimize healthcare provider adherence to guidelines. Institutions such as the Veterans Health Administration (VHA) are unique in their systematic approach, but comparisons of provider behavior in different healthcare systems are limited.

METHODS

We surveyed general medicine providers and specialists in a large academic health center (AHC) and its affiliated VHA in the Mid-South in 2017 to determine the cross-sectional association of healthcare system in which the provider practiced (exposure: AHC versus VHA) with self-reported provision of evidence-based smoking cessation treatment (delivery of counseling plus smoking cessation medication or referral) at least once in the past 12 months (composite outcome). Multivariable logistic regression with adjustment for specialty was performed in 2017-2019.

RESULTS

Of 625 healthcare providers surveyed, 407 (65%) responded, and 366 (59%) were analyzed. Most respondents practiced at the AHC (273[75%] vs VHA 93[25%]) and were general internists (215[59%]); pulmonologists (39[11%]); hematologists/oncologists (69[19%]); and gynecologists (43[12%]). Most respondents (328[90%]) reported the primary outcome. The adjusted odds of evidence-based smoking cessation treatment were higher among VHA vs. AHC healthcare providers (aOR = 4.3; 95% CI 1.3-14.4; p = .02). Health systems differed by provision of individual treatment components, including smoking cessation medication use (98% VHA vs. 90% AHC, p = 0.02) and referral to smoking cessation services (91% VHA vs. 65% AHC p = 0.001).

CONCLUSIONS

VHA healthcare providers were significantly more likely to provide evidence-based smoking cessation treatment compared to AHC healthcare providers. Healthcare systems' prioritization of and investment in smoking cessation treatment is critical to improving providers' adherence to guidelines.

Factors associated with tobacco cessation attempts among inpatients in a psychiatric hospital

Introduction

Several effective evidence-based tobacco treatment approaches can optimize cessation attempts; however, little is known about the utilization of such strategies by people with mental illnesses (MI) during their cessation attempts.

Aims

To examine methods used during and factors associated with tobacco cessation attempts among people with MI.

Methods

Self-administered cross-sectional survey data were obtained from 132 tobacco using inpatients from a psychiatric facility in Kentucky, USA.

Results

Our study found ‘cold turkey’ as the most reported method by inpatient tobacco users with MI in their prior cessation attempts regardless of the psychiatric diagnosis category. Multivariate logistic regression found ethnicity (OR 26.1; 95% CI 2.9–237.1), age at 1st smoke (OR 1.1; 95% CI 1.0–1.1), importance to quit (OR 1.2; 95% CI 1.0–1.4), and receipt of brief tobacco treatment interventions (OR 1.1; 95% CI 1.0–1.3) significantly associated with quit attempt in the past year.

Conclusion

Despite the existence of various evidence-based approaches to enhance tobacco cessation among people with MI, ‘cold-turkey’ was the most preferred method in this sample. In addition, this study highlighted ethnicity, importance to quit, age at 1st smoke, and receipt of brief interventions as important factors to consider when tailoring tobacco cessation in this population. Though ethnicity is a non-modifiable factor, an informed provider may intervene skillfully by addressing socio-cultural barriers specific to an ethnic group. Lower ratings on the motivation ruler and early age of smoking initiation could also inform providers when using motivational interviewing and other evidence-based tobacco-cessation approaches.

Racial Differences in Smoking-related Disease Risk Perceptions Among Adults Completing Lung Cancer Screening: Follow-up Results from the ACRIN/NLST Ancillary Study

Previous work suggests that, compared to white adults, black adults have lower perceived risk for smoking-related diseases (SRDs), which may influence cessation behavior and health outcomes; however, racial differences in SRD risk perceptions among high-risk patients (i.e., a group that exhibits elevated risk for SRDs) following lung screening remain unknown. This paper thus examined differences in risk perceptions for lung cancer and other SRDs among black and white National Lung Screening Trial (NLST) participants. We administered a 10-item measure of perceived lifetime risk of lung cancer and other SRD (Smoking Risk Perceptions Scale; SRPS) to NLST participants at 1 year following lung screening to (1) establish the internal consistency of the SRPS for both black and white participants, (2) compare smoking-related disease risk perceptions between black and white participants, and (3) identify predictors of risk perceptions for black and white participants using multivariable linear regression models. We determined the SRPS items loaded onto two factors (personal and comparative risks; Cronbach's alpha = 0.93 and 0.95 for 1743 white and 194 black participants, respectively), thus demonstrating high internal consistency for both black and white adults. Compared to white participants, black adults demonstrated lower SRD risk perceptions (SRPS range = 10-50, mean difference = 2.55, SE = 0.50, p < 0.001), even after adjusting for smoking status and sociodemographics. Younger age, female gender, higher education, white race, and current smoking status were independently associated with high risk perceptions. Sociodemographic factors associated with lower risk perceptions resemble factors related to continued smoking. Findings suggest current and former black smokers are at risk of having lower risk perceptions for lung cancer and SRDs than white adults following lung cancer screening; these differences may explain observed racial differences in cessation outcomes. Although similar factors influence black and white adults' beliefs, risk perceptions may differentially impact smoking behavior among these groups. Behavior change models that guide tobacco treatment approaches, particularly for high-risk black smokers, should consider the influence of cultural factors on risk perceptions and cessation efforts.