Effect of an Evidence-based Inpatient Tobacco Dependence Treatment Service on 1-Year Postdischarge Health Care Costs

Sustainability of an Opt-Out Electronic-Health Record-Based Tobacco Treatment Consult Service at a Large Safety-Net Hospital: A 6-Year Analysis

INTRODUCTION

Our safety-net hospital implemented a hospital-based tobacco treatment intervention in 2016. We previously showed the intervention, an "opt-out" Electronic Health Record (EHR)-based Best Practice Alert (BPA)+ order-set that triggers consultation to an inpatient Tobacco Treatment Consult (TTC) service for all patients who smoke, improves smoking abstinence. We now report on sustainability, 6 years after inception.

AIMS AND METHODS

We analyzed data collected between July 2016-June 2022 of patients documented as "currently smoking" in the EHR. Across the 6 years, we used Pearson's correlation analysis to compare Adoption (clinician acceptance of the BPA+ order-set, thus generating consultation to the TTC service); Reach (number of consultations completed by the TTC service); and Effectiveness (receipt of pharmacotherapy orders between patients receiving and not receiving consultations).

RESULTS

Among 39 558 adult admissions (July 2016-June 2022) with "currently smoking" status in the EHR for whom the BPA triggered, clinicians accepted the TTC order set on 50.4% (19 932/39 558), though acceptance varied across services (eg, Cardiology [71%] and Obstetrics-Gynecology 12%]). The TTC service consulted on 17% (6779/39 558) of patients due to staffing constraints. Consultations ordered (r = -0.28, p = .59) and completed (r = 0.45, p = .37) remained stable over 6-years. Compared to patients not receiving consultations, patients receiving consultations were more likely to receive pharmacotherapy orders overall (inpatient: 50.8% vs. 35.1%, p < .0001; at discharge: 27.1% vs. 10%, p < .0001) and in each year.

CONCLUSIONS

The "opt-out" EHR-based TTC service is sustainable, though many did not receive consultations due to resource constraints. Health care systems should elevate the priority of hospital-based tobacco treatment programs to increase reach to underserved populations.

IMPLICATIONS

Our study shows that opt-out approaches that utilize the EHR are a sustainable approach to providing evidence-based tobacco treatment to all hospitalized individuals who smoke, regardless of readiness to stop smoking and clinical condition.

Interactive voice response (IVR) for tobacco cessation: a systematic review

OBJECTIVE

To summarise the uses, outcomes and implementation of interactive voice response (IVR) as a tobacco cessation intervention.

DATA SOURCES

A systematic review was conducted. Searches were performed on 3 May 2023. The strategies used keywords such as "tobacco cessation", "smoking reduction" and "interactive voice recording". Ovid MEDLINE ALL, Embase, APA PsycINFO, CINAHL, Cochrane Library and Web of Science were searched. Grey literature searches were also conducted.

STUDY SELECTION

Titles and abstracts were assessed by two independent reviewers. Studies were included if IVR was an intervention for tobacco cessation for adults; any outcomes were reported and study design was comparative. Any abstract included by either reviewer proceeded to full-text review. Full texts were reviewed by two independent reviewers.

DATA EXTRACTION

Data were independently extracted by two reviewers using a standardised form. The Risk of Bias Tool for Randomised Trials and the Risk of Bias in Non-Randomised Studies of Interventions tools were used to assess study quality.

DATA SYNTHESIS

Of 308 identified abstracts, 20 moderate-quality to low-quality studies were included. IVR was used standalone or adjunctly as a treatment, follow-up or risk-assessment tool across populations including general smokers, hospitalised patients, quitline users, perinatal women, patients with cancer and veteran smokers. Effective studies found that IVR was delivered more frequently with shorter follow-up times. Significant gaps in the literature include a lack of population diversity, limited implementation settings and delivery schedules, and limited patient and provider perspectives.

CONCLUSIONS

While the evidence is weak, IVR appears to be a promising intervention for tobacco cessation. However, pilot programmes and research addressing literature gaps are necessary.

Implementation of an "opt-out" tobacco treatment program in six hospitals in South Carolina

OBJECTIVE

Describe the screening, referral, and treatment delivery associated with an opt-out tobacco treatment program (TTP) implemented in six hospitals varying in size, rurality and patient populations.

METHODS

Between March 6, 2021 and December 17, 2021, adult patients (≥ 18 years) admitted to six hospitals affiliated with the Medical University of South Carolina were screened for smoking status. The hospitals ranged in size from 82 to 715 beds. Those currently smoking were automatically referred to one of two tobacco treatment options: 1) Enhanced care (EC) where patients could receive a bedside consult by a trained tobacco treatment specialist plus an automated post-discharge follow-up call designed to connect those smoking to the South Carolina Quitline (SCQL); or 2) Basic care (BC) consisting of the post-discharge follow-up call only. An attempt was made to survey patients at 6-weeks after hospitalization to assess smoking status.

RESULTS

Smoking prevalence ranged from 14 to 49% across the six hospitals; 6,000 patients were referred to the TTP.The delivery of the bedside consult varied across the hospitals with the lowest in the Charleston hospitals which had the highest caseload of referred patients per specialist. Among patients who received a consult visit during their hospitalization, 50% accepted the consult, 8% opted out, 3% claimed not to be current smokers, and 38% were unavailable at the time of the consult visit. Most of those enrolled in the TTP were long-term daily smokers.Forty-three percent of patients eligible for the automated post-discharge follow-up call answered the call, of those, 61% reported smoking in the past seven days, and of those, 34% accepted the referral to theSCQL. Among the 986 of patients surveyed at 6-weeks after hospitalization quit rates ranged from 20%-30% based on duration of reported cessation and were similar between hospitals and for patients assigned to EC versus BC intervention groups.

CONCLUSION

Findings demonstrate the broad reach of an opt-out TTP. Elements of treatment delivery can be improved by addressing patient-to-staffing ratios, improving systems to prescribe stop smoking medications for patients at discharge and linking patients to stop smoking services after hospital discharge.

[The e-cigarette - means of smoking cessation?]

After several years of declining tobacco consumption, the number of smokers in Germany is currently stagnating or rising again. The reasons seem to be manifold, e. g. stress caused by the pandemic with social isolation, rising cost of living and war in Europe.With tobacco use still widespread in the German population, evidence-based tobacco cessation is rarely implemented.According to recent studies, e-cigarettes are involved in the pathogenesis of lung disease, cardiac and vascular damage. In addition, their ingredients also have carcinogenic effects. However, clinical studies on long-term use are not yet available.E-cigarettes as a consumer product are not superior to nicotine replacement products and addiction-reducing medications recommended in guidelines. In the therapeutic setting, they are slightly more effective than nicotine replacement products. However, they are usually consumed continuously and thus perpetuate nicotine dependence. Their use increases the risk of relapse to tobacco smoking.Despite the various new approaches, such as Internet-based offerings, app, etc., talks and pharmacotherapy are the gold standard and more effective than any therapy on its own.

Implementation of an "Opt-Out" Tobacco Treatment Program in Six Hospitals in South Carolina

Objective

To describe the implementation an opt-out tobacco treatment program (TTP) in 6 diverse hospitals located in different regions of South Carolina.

Methods

Between March 8, 2021 and December 17, 2021, adult patients (≥ 18 years) admitted to 6 hospitals affiliated with the Medical University of South Carolina (MUSC) were screened for their cigarette status. Patients who smoked cigarettes were referred to an TTP offering a brief bedside consult and automated post-discharge follow-up calls with an opportunity to receive a referral to the South Carolina Quitline (SCQL). The hospitals included in this study ranged in size from 82 to 715 beds with diverse patient populations. Herein, we report on the results of screening and referring patients to the TTP, delivery of smoking cessation treatments, and patient smoking status assessed in a sample of patients followed 6-weeks after discharge from the hospital.

Results

Smoking prevalence ranged from 14-49% across the 6 hospitals. Among eligible patients reached, 85.6% accepted the bedside consult. Only 3.4% of patients reached were deemed ineligible because they claimed not to be currently smoking cigarettes. The automated post-discharge follow-up calls were answered by 43% of patients, with about a third of those who had relapsed back to smoking accepting the offer of a referral to the SCQL. Overall, about half of the 6,000 patients referred to the TTP received some type of treatment. Self-reported smoking abstinence rates assessed 6-weeks after discharge were similar across the five acute care hospitals ranging from about 20-30%.

Conclusion

The findings demonstrate the broad reach of implementing an opt-out TTP for patients in hospitals of varying size, rurality and patient populations.

Integrating Tobacco Dependence Treatment into Hospital Practice Using the Rochester Model

Purpose

Delivering evidence-based tobacco dependence treatments to hospital patients in real-world settings continues to be a challenge. To achieve long-term abstinence, a program should provide both bedside counseling and post-discharge contacts. These program features are necessary but difficult to implement due to lack of training, time and low administrative support. The Rochester Model is a tobacco treatment program using existing staff and medical students to reduce the barriers for treating hospitalized smokers.

Patients and Methods

Any smoking patient admitted to a participating hospital unit can participate. Staff nurses, mid-level providers and physicians deliver the counseling steps during the admission. Nurses hold two bedside counseling sessions, while providers give quitting advice and encourage pharmacotherapy. Nurses also contribute as unit champions and post-discharge call counselors. New York State quit line counselors combined with a University of Rochester call team fulfill the post-discharge calls. The latter call team is composed of staff nurses, respiratory therapists and medical students.

Results

The number of smoking patients screened was 2610 while 385 enrolled after a proof-of-concept period. The 7-day point prevalence quit rates using the as treated (patients contacted) analysis is 50% at 4 weeks, 42% at 3 months and 38% at 6 months. The 7-day point prevalence quit rates using the intent-to-treat (all patients) analysis is 23% at 4 weeks, 16% at 3 months and 14% at 6 months.

Conclusion

Preliminary data on the Rochester Model is showing an effective yet affordable tobacco treatment program using hospital staff and medical students. Nurses serve as bedside counselors, unit champions and post-discharge call counselors. Hospitals, even with limited resources, can implement tobacco treatment programs using existing staff.

Association Between Smoking Cessation Treatment and Healthcare Costs in a Single-Payer Public Healthcare System

INTRODUCTION

There has been little investigation of whether the clinical effectiveness of smoking cessation treatments translates into differences in healthcare costs, using real-world cost data, to determine whether anticipated benefits of smoking cessation treatment are being realized.

AIMS AND METHODS

We sought to determine the association between smoking cessation treatment and healthcare costs using linked administrative healthcare data. In total, 4752 patients who accessed a smoking cessation program in Ontario, Canada between July 2011 and December 2012 (treatment cohort) were each matched to a smoker who did not access these services (control cohort). The primary outcome was total healthcare costs in Canadian dollars, and secondary outcomes were sector-specific costs, from one year prior to the index date until December 31, 2017, or death. Costs were partitioned into four phases: pretreatment, treatment, posttreatment, and end-of-life for those who died.

RESULTS

Among females, total healthcare costs were similar between cohorts in pretreatment and posttreatment phases, but higher for the treatment cohort during the treatment phase ($4,554 vs. $3,237, p < .001). Among males, total healthcare costs were higher in the treatment cohort during pretreatment ($3,911 vs. $2,784, p < .001), treatment ($4,533 vs. $3,105, p < .001) and posttreatment ($5,065 vs. $3,922, p = .001) phases. End-of-life costs did not differ. Healthcare sector-specific costs followed a similar pattern.

CONCLUSIONS

Five-year healthcare costs were similar between females who participated in a treatment program versus those that did not, with a transient increase during the treatment phase only. Among males, treatment was associated with persistently higher healthcare costs. Further study is needed to address the implications with respect to long-term costs.

IMPLICATIONS

The clinical effectiveness of pharmacological and behavioral smoking cessation treatments is well established, but whether such treatments are associated with healthcare costs, using real-world data, has received limited attention. Our findings suggest that the use of a smoking cessation treatment offered by their health system is associated with persistent higher healthcare costs among males but a transient increase among females. Given increasing access to evidence-based smoking cessation treatments is an important component in national tobacco control strategies, these data highlight the need for further exploration of the relations between smoking cessation treatment engagement and healthcare costs.

[The e-cigarette - means of smoking cessation?]

After several years of declining tobacco consumption, the number of smokers in Germany is currently stagnating or rising again. The reasons seem to be manifold, e. g. stress caused by the pandemic with social isolation, rising cost of living and war in Europe.With tobacco use still widespread in the German population, evidence-based tobacco cessation is rarely implemented.According to recent studies, e-cigarettes are involved in the pathogenesis of lung disease, cardiac and vascular damage. In addition, their ingredients also have carcinogenic effects. However, clinical studies on long-term use are not yet available.E-cigarettes as a consumer product are not superior to nicotine replacement products and addiction-reducing medications recommended in guidelines. In the therapeutic setting, they are slightly more effective than nicotine replacement products. However, they are usually consumed continuously and thus perpetuate nicotine dependence. Their use increases the risk of relapse to tobacco smoking.Despite the various new approaches, such as Internet-based offerings, app, etc., talks and pharmacotherapy are the gold standard and more effective than any therapy on its own.

Integrating Social Determinants of Health With Tobacco Treatment for Individuals With Opioid Use Disorder: Feasibility and Acceptability Study of Delivery Through Text Messaging

Background

Individuals with opioid use disorder (OUD) have a high prevalence of smoking and frequently experience unmet social determinants of health (SDOH), which may be barriers to smoking cessation. Hospitalization is an opportunity to encourage smoking cessation. Unfortunately, many clinicians do not provide tobacco treatment to support the maintenance of cessation achieved during hospitalization. Interventions are required to support these high-risk individuals after hospital discharge.

Objective

This study aimed to test the feasibility and acceptability of a 28-day SMS text messaging program tailored to individuals with OUD, which provides smoking cessation support and addresses unmet SDOH needs.

Methods

From July to December 2019, we enrolled 25 individuals who were hospitalized with tobacco dependence and OUD at our large safety net hospital. The SMS text messaging program was initiated during hospitalization and continued for 28 days. Participants were enrolled in either the ready to quit within 30 days or the not ready to quit within 30 days program based on their readiness to quit. Automated SMS text messages were sent twice daily for 4 weeks. The topics included health and cost benefits of quitting, both general and opioid specific (16 messages); managing mood and stress (8 messages); motivation, coping strategies, and encouragement (18 messages); addressing medication misconceptions (5 messages); links to resources to address substance use (2 messages providing links to the Massachusetts Substance Use Helpline and Boston Medical Center resources), tobacco dependence (1 message providing a link to the Massachusetts Quitline), and unmet SDOH needs (6 messages assessing SDOH needs with links to resources if unmet SDOH needs were identified). Questionnaires and interviews were conducted at baseline and at 2 and 4 weeks after enrollment.

Results

The participants were 56% (14/25) female, 36% (9/25) African American, 92% (23/25) unemployed, and 96% (24/25) Medicaid insured. Approximately 84% (21/25) activated the program, and none of the participants unsubscribed. Approximately 57% (12/21) completed either the 2- or 4-week questionnaires. Program satisfaction was high (overall mean 6.7, SD 0.8, range 1-7). Many perceived that the SMS text messaging program provided social support, companionship, and motivation to stop smoking. Messages about the health benefits of quitting were well received, whereas messages on how quitting cigarettes may prevent relapse from other substances had mixed views, highlighting the importance of tailoring interventions to patient preferences.

Conclusions

SMS text messaging to promote smoking cessation and address SDOH needs may be an effective tool for improving quit rates and health outcomes in individuals with tobacco dependence and OUD. Our study adds to the growing body of evidence that SMS text messaging approaches are feasible and acceptable for providing tobacco treatment to all individuals who smoke, even among low-income populations who have OUD and are not ready to quit.

Understanding the implementation strategy of a secondary care tobacco addiction treatment pathway (the CURE project) in England: a strategic behavioural analysis

OBJECTIVES

The Conversation, Understand, Replace, Experts and evidence-based treatment (CURE) project implemented an evidence-based intervention that offers a combination of pharmacotherapy and behavioural support to tobacco-dependent inpatients. Understanding key characteristics of CURE's implementation strategy, and identifying areas for improvement, is important to support the roll-out of nationwide tobacco dependence services. This study aimed to (1) specify key characteristics of CURE's exiting implementation strategy and (2) develop theoretical-informed and stakeholder-informed recommendations to optimise wider roll-out.

DESIGN AND METHODS

Data were collected via document review and secondary analysis of interviews with 10 healthcare professionals of a UK hospital. Intervention content was specified through behaviour change techniques (BCTs) and intervention functions within the Behaviour Change Wheel. A logic model was developed to specify CURE's implementation strategy and its mechanisms of impact. We explored the extent to which BCTs and intervention functions addressed the key theoretical domains influencing implementation using prespecified matrices. The development of recommendations was conducted over a two-round Delphi exercise.

RESULTS

We identified six key theoretical domains of influences: 'environmental context and resources', 'goals', 'social professional role and identity', 'social influences', 'reinforcement' and 'skills'. The behavioural analysis identified 26 BCTs, 4 intervention functions and 4 policy categories present within the implementation strategy. The implementation strategy included half the relevant intervention functions and BCTs to target theoretical domains influencing CURE implementation, with many BCTs focusing on shaping knowledge. Recommendations to optimise content were developed following stakeholder engagement.

CONCLUSIONS

CURE offers a strong foundation from which a tobacco dependence treatment model can be developed in England. The exiting strategy could be strengthened via the inclusion of more theoretically congruent BCTs, particularly relating to 'environmental context and resources'. The recommendations provide routes to optimisation that are both theoretically grounded and stakeholder informed. Future research should assess the feasibility/acceptability of these recommendations in the wider secondary-care context.

How can hospitals change practice to better implement smoking cessation interventions? A systematic review

Smoking cessation reduces the risk of death, improves recovery, and reduces the risk of hospital readmission. Evidence and policy support hospital admission as an ideal time to deliver smoking-cessation interventions. However, this is not well implemented in practice. In this systematic review, the authors summarize the literature on smoking-cessation implementation strategies and evaluate their success to guide the implementation of best-practice smoking interventions into hospital settings. The CINAHL Complete, Embase, MEDLINE Complete, and PsycInfo databases were searched using terms associated with the following topics: smoking cessation, hospitals, and implementation. In total, 14,287 original records were identified and screened, resulting in 63 eligible articles from 56 studies. Data were extracted on the study characteristics, implementation strategies, and implementation outcomes. Implementation outcomes were guided by Proctor and colleagues' framework and included acceptability, adoption, appropriateness, cost, feasibility, fidelity, penetration, and sustainability. The findings demonstrate that studies predominantly focused on the training of staff to achieve implementation. Brief implementation approaches using a small number of implementation strategies were less successful and poorly sustained compared with well resourced and multicomponent approaches. Although brief implementation approaches may be viewed as advantageous because they are less resource-intensive, their capacity to change practice in a sustained way lacks evidence. Attempts to change clinician behavior or introduce new models of care are challenging in a short time frame, and implementation efforts should be designed for long-term success. There is a need to embrace strategic, well planned implementation approaches to embed smoking-cessation interventions into hospitals and to reap and sustain the benefits for people who smoke.

Rapid Cycle Evaluation and Adaptation of an Inpatient Tobacco Treatment Service at a U.S. Safety-Net Hospital

Background

To address disparities in smoking rates, our safety-net hospital implemented an inpatient tobacco treatment intervention: an “opt-out” electronic health record (EHR)-based Best Practice Alert + order-set, which triggers consultation to a Tobacco Treatment Consult (TTC) service for all hospitalized patients who smoke cigarettes. We report on development, implementation, and adaptation of the intervention, informed by a pre-implementation needs assessment and two rapid-cycle evaluations guided by the Consolidated Framework for Implementation Research (CFIR) and Expert Recommendations for Implementing Change (ERIC) compilation.

Methods

We identified stakeholders affected by implementation and conducted a local needs assessment starting 6 months-pre-launch. We then conducted two rapid-cycle evaluations during the first 6 months post-implementation. The CFIR informed survey and interview guide development, data collection, assessment of barriers and facilitators, and selection of ERIC strategies to implement and adapt the intervention.

Results

Key themes were: (1) Understanding the hospital's priority to improving tobacco performance metrics was critical in gaining leadership buy-in (CFIR Domain: Outer setting; Construct: External Policy and Incentives). (2) CFIR-based rapid-cycle evaluations allowed us to recognize implementation challenges early and select ERIC strategies clustering into 3 broad categories (conducting needs assessment; developing stakeholder relationships; training and educating stakeholders) to make real-time adaptations, creating an acceptable clinical workflow. (3) Minimizing clinician burden allowed the successful implementation of the TTC service. (4) Demonstrating improved 6-month quit rates and tobacco performance metrics were key to sustaining the program.

Conclusions

Rapid-cycle evaluations to gather pre-implementation and early-implementation data, focusing on modifiable barriers and facilitators, allowed us to develop and refine the intervention to improve acceptability, adoption, and sustainability, enabling us to improve tobacco performance metrics in a short timeline. Future directions include spreading rapid-cycle evaluations to promote implementation of inpatient tobacco treatment programs to other settings and assessing long-term sustainability and return on investment of these programs.

Management of chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease is a prevalent condition in the UK, associated with high morbidity and mortality. Hospital physicians manage a significant portion of acute chronic obstructive pulmonary disease admissions to hospital and readmissions after discharge. Optimal management of exacerbations requires controlled oxygen therapy and ventilatory support where necessary, and careful administration of bronchodilators, steroids and antibiotics. Holistic care for these patients includes nutritional supplementation and palliative support for those with advanced disease. To reduce the chance of readmission, chronic obstructive pulmonary disease care bundles can be used, along with a review of inhaled and oral therapies. Where available, hospital-at-home discharge schemes can safely facilitate early discharge. Most importantly, high quality evidence-based smoking cessation support must be offered to smokers. Exercise improves the physiological and psychological condition of people with chronic obstructive pulmonary disease and should be encouraged, with referral to a pulmonary rehabilitation service if available.

Associations between cancer diagnosis and patients' responses to an inpatient tobacco treatment intervention

BACKGROUND

Diagnosis of a chronic illness, such as cancer may influence health behavior changes, such as smoking cessation. The present analyses examine associations between a cancer diagnosis (i.e., yes or no) and response to an opt-out smoking cessation bedside intervention provided to hospitalized patients. It was hypothesized that patients with a past or present cancer diagnosis would report higher motivation and engagement with quitting smoking, and higher rates of smoking abstinence after hospital discharge, compared to those without a cancer diagnosis.

METHODS

Chart review was conducted on 5287 inpatients who accepted bedside treatment from a counselor and opted-in to automated follow-up calls from July 2014 to December 2019.

RESULTS

At the time of inpatient assessment, those with a past or present cancer diagnosis (n = 419, 7.9%) endorsed significantly higher levels of importance of quitting than those without a cancer diagnosis (3.92/5 vs. 3.77/5), and were more likely to receive smoking cessation medication upon discharge (17.9% vs. 13.3%). Follow-up data from 30-days post-discharge showed those with a cancer diagnosis endorsed higher rates of self-reported abstinence (20.5%) than those without a cancer diagnosis (10.3%; p < 0.001).

CONCLUSION

Being hospitalized for any reason provides an opportunity for smokers to consider quitting. Having a previous diagnosis of cancer appears to increase intention to quit and lead to higher rates of smoking cessation in patients who are hospitalized compared to patients without cancer. Future research needs to work toward optimizing motivation for smoking cessation while admitted to a hospital and on improving quit rates for all admitted patients, regardless of diagnosis.

Tobacco Treatment Program Models in US Hospitals and Outpatient Centers on Behalf of the SRNT Treatment Network

Because tobacco use remains one of the leading causes of disease, disability, and mortality, tobacco treatment programs should be integrated into medical systems such as hospitals and outpatient centers. Medical providers have a unique, high-impact opportunity to initiate smoking cessation treatment with patients. However, there are several barriers that may hinder the development and implementation of these programs. The purpose of this review was to address such barriers by illustrating several examples of successful tobacco treatment programs in US health-care systems that were contributed by the authors. This includes describing treatment models, billing procedures, and implementation considerations. Using an illustrative review of vignettes from existing programs, various models are outlined, emphasizing commonalities and unique features, strengths and limitations, resources necessary, and other relevant considerations. In addition, clinical research and dissemination trials from each program are described to provide evidence of feasibility and efficacy from these programs. This overview of example treatment models designed for hospitals and outpatient centers provides guidelines for any emerging tobacco cessation services within these contexts. For existing treatment programs, this review provides additional insight and ideas about improving these programs within their respective medical systems.

Effectiveness of an Opt-Out Electronic Heath Record-Based Tobacco Treatment Consult Service at an Urban Safety Net Hospital

BACKGROUND

To address the burden of tobacco use in underserved populations, our safety net hospital developed a tobacco treatment intervention consisting of an "opt-out" electronic health record-based best practice alert + order set, which triggers consultation to an inpatient tobacco treatment consult (TTC) service for all hospitalized smokers.

RESEARCH QUESTION

We sought to understand if the intervention would increase patient-level outcomes (receipt of tobacco treatment during hospitalization and at discharge; 6-month smoking abstinence) and improve hospital-wide performance on tobacco treatment metrics.

DESIGN AND METHODS

We conducted two retrospective quasi-experimental analyses to examine effectiveness of the TTC service. Using a pragmatic design and multivariable logistic regression, we compared patient-level outcomes of receipt of nicotine replacement therapy and 6-month quit rates between smokers seen by the service (n = 505) and eligible smokers not seen because of time constraints (n = 680) between July 2016 and December 2016. In addition, we conducted an interrupted time series analysis to examine the effect of the TTC service on hospital-level performance measures, comparing reported Joint Commission measure rates for inpatient (Tob-2) and postdischarge (Tob-3) tobacco treatment preimplementation (January 2015-June 2016) vs postimplementation (July 2016-December 2017) of the intervention.

RESULTS

Compared with inpatient smokers not seen by the TTC service, smokers seen by the TTC service had higher odds of receiving nicotine replacement during hospitalization (260 of 505 [51.5%] vs 244 of 680 [35.9%]; adjusted ORs [AOR], 1.93 [95% CI, 1.5-2.45]) and at discharge (164 of 505 [32.5%] vs 84 of 680 [12.4%]; AOR, 3.41 [95% CI, 2.54-4.61]), as well as higher odds of 6-month smoking abstinence (75 of 505 [14.9%] vs 68 of 680 [10%]; AOR, 1.48 [95% CI, 1.03-2.12]). Hospital-wide, the intervention was associated with a change in slope trends for Tob-3 (P < .01), but not for Tob-2.

INTERPRETATION

The "opt-out" electronic health record-based TTC service at our large safety net hospital was effective at improving both patient-level outcomes and hospital-level performance metrics, and could be implemented at other safety net hospitals that care for hard-to-reach smokers.

Impact of the Affordable Care Act Medicaid Expansion on Access to Care and Hospitalization Charges for Lupus Patients

OBJECTIVE

To examine the impact of the Affordable Care Act on preventable hospitalizations and associated charges for patients living with systemic lupus erythematosus, before and after Medicaid expansion.

METHODS

A retrospective, quasi-experimental study, using an interrupted time series research design, was conducted to analyze data for 8 states from the Healthcare Cost and Utilization Project state inpatient databases. Lupus hospitalizations with a principal diagnosis of predetermined ambulatory-care sensitive (ACS) conditions were the unit of primary analysis. The primary outcome variable was access to care measured by preventable hospitalizations caused by an ACS condition.

RESULTS

There were 204,150 lupus hospitalizations in the final analysis, with the majority (53.5%) of lupus hospitalizations in states that did not expand Medicaid. In unadjusted analysis, Medicaid expansion states had significantly lower odds of having preventable lupus hospitalizations (odds ratio [OR] 0.958); however, after adjusting for several covariates, Medicaid expansion states had increased odds of having preventable lupus hospitalizations (OR 1.302). Adjusted analysis showed that those individuals with increased age, public insurance (Medicare or Medicaid), no health insurance, rural residence, or low income had significantly higher odds of having a preventable lupus hospitalization. States that expanded Medicaid had $523 significantly more charges than states that did not expand Medicaid. Older age and rural residence were associated with significantly higher charges.

CONCLUSION

Our findings suggest that while Medicaid expansion increased health insurance coverage, it did not address other issues related to access to care that could reduce the number of preventable hospitalizations.

Association of a Comprehensive Smoking Cessation Program With Smoking Abstinence Among Patients With Cancer

IMPORTANCE

Patients with cancer who smoke after diagnosis risk experiencing reductions in treatment effectiveness, survival rates, and quality of life, and increases in complications, cancer recurrence, and second primary cancers. Smoking cessation can significantly affect these outcomes, but to date comprehensive treatment is not widely implemented in the oncologic setting.

OBJECTIVES

To describe a potential model tobacco treatment program (TTP) implemented in a cancer setting, report on its long-term outcomes, and highlight its importance to quality patient care.

DESIGN, SETTING, AND PARTICIPANTS

A prospective cohort of smokers was treated in the TTP at a comprehensive cancer center from January 1, 2006, to August 31, 2015. Data analysis was performed from November 2017 to December 2018. Participants included 3245 patients (2343 with current cancer; 309 with previous cancer; 593 with no cancer history) drawn from a population of 5061 smokers referred for treatment in the TTP. Reasons for exclusion included follow-up for a noncancerous disease, no medical consultation, smoked less than 1 cigarette per day; or died before the 9-month follow-up.

EXPOSURES

Treatment consisted of an in-person medical consultation, 6 to 8 in-person and telephone follow-up counseling sessions, and 10 to 12 weeks of pharmacotherapy.

MAIN OUTCOMES AND MEASURES

Primary outcome was 9-month 7-day point-prevalence abstinence evaluated using time-specific (3-, 6-, and 9-month follow-ups) and longitudinal covariate-adjusted and unadjusted regression models with multiple imputation, intention-to-treat, and respondent-only approaches to missing data. The Fagerström Test for Cigarette Dependence was used as a measure of dependence (possible range, 0-10; higher numbers indicate greater dependence).

RESULTS

Of the 3245 smokers, 1588 (48.9%) were men, 322 (9.9%) were of black race/ethnicity, 172 (5.3%) were of Hispanic race/ethnicity, and 2498 (76.0%) were of white race/ethnicity. Mean (SD) age was 54 (11.4) years; Fagerström Test for Cigarette Dependence score, 4.41 (2.2), number of cigarettes smoked per day, 17.1 (10.7); years smoked, 33 (13.2); and 1393 patients (42.9%) had at least 1 psychiatric comorbidity. Overall self-reported abstinence was 45.1% at 3 months, 45.8% at 6 months, and 43.7% at 9 months in the multiply imputed sample. Results across all models were consistent, suggesting that, in comparison with smokers with no cancer history, abstinence rates within this TTP program did not differ appreciably whether smokers had current cancer, were a cancer survivor, or had smoking-related cancers, with the exception of patients with head and neck cancer; the rates were higher at 9 months (relative risk, 1.31; 95% CI, 1.11-1.56; P = .001) and in longitudinal models (relative risk, 1.24; 95% CI, 1.08-1.42; P = .002).

CONCLUSIONS AND RELEVANCE

In this study, mean smoking abstinence rates did not differ significantly between patients with cancer and those without cancer. These findings suggest that providing comprehensive tobacco treatment in the oncologic setting can result in sustained high abstinence rates for all patients with cancer and survivors and should be included as standard of care to ensure the best possible cancer treatment outcomes.

Healthcare Costs of Smokers Using Varenicline Versus Nicotine-Replacement Therapy Patch in the United States: Evidence from Real-World Practice

INTRODUCTION

Varenicline (VAR) is an effective smoking-cessation therapy compared to the commonly used nicotine-replacement therapy patch (NRT-P). However, comparative real-world evidence on smoking-cessation therapies is limited, especially for economic outcomes.

METHODS

Using national claims databases (2012-2016) in the United States (US), adults initiating VAR or NRT-P without use of any other smoking-cessation products were followed for up to 1 year on a quarterly basis. Outcomes included smoking-attributable (SA) (cardiovascular, diabetes, pulmonary diseases, and smoking cessation) and all-cause costs (2017 US dollars). Adjusted mean costs were estimated from multivariable regressions, with baseline characteristics and propensity scores as covariates. Annual adjusted costs were calculated from quarterly averages.

RESULTS

The VAR cohort (n = 209,284) was younger (mean age 46.7 vs. 49.0 years) and had fewer comorbidities [mean Charlson Comorbidity Index (CCI): 0.8 vs. 1.6] than the NRT-P cohort (n = 34,593). After adjustment, VAR cohort had lower SA and all-cause medical costs than NRT-P cohort in Quarters 1-4 (Q1-Q4) of follow-up, and had lower SA and all-cause total costs in Q2-Q4. Annually, VAR cohort had higher SA total costs ($307) and lower all-cause costs (- $2089) than NRT-P cohort. Annual medical costs were lower in VAR cohort (- $640 for SA and - $2876 for all-cause), and pharmacy costs were higher ($762 for SA and $777 for all-cause). In adherent patients (VAR: n = 38,744; NRT-P: n = 2702), VAR patients had lower annual medical costs (- $794 for SA and - $1636 for all-cause) and higher pharmacy costs ($1175 for SA and $1269 for all-cause); differences in SA and all-cause total costs were not statistically significant between treatment groups.

CONCLUSIONS

Lower SA and all-cause medical costs associated with the use of VAR versus NRT-P resulted in savings in all-cause total costs and, among adherent patients, potentially offset the high pharmacy costs of VAR.

FUNDING

Pfizer, Inc.

Enrollee Characteristics in an Intensive Tobacco Dependence Treatment Program: The Relationship of Race and Sex to Demographic Factors and Tobacco Use Patterns

Intensive tobacco treatment programs offer many advantages relative to other treatment options, particularly for more complex patients, e.g., highly nicotine dependent, or those with medical and psychiatric symptoms and disorders. Efforts to better understand those who choose to enroll in these programs, particularly regarding the characteristics they possess known to mediate outcomes, are important considerations in tailoring available services. In this study, we examined how participants differed on key descriptive and tobacco use variables within race (i.e., African-American, Caucasian) and sex subgroups. Baseline characteristics from a large group of consecutive program enrollees were examined across targeted subgroups. Strong racial effects and some sex effects were noted for marital status, education, employment and health insurance status, alcohol consumption, presence of medical and psychiatric disorders, as well as participant tobacco use patterns and tobacco use rates of family, friends and coworkers. The differences in participant tobacco use measures across race and sex factors remained significant after adjusting for the confounding effects of all other covariates. These findings have implications for characterizing key patient subgroups who present at tobacco treatment clinics. Such information may contribute to options for tailoring treatment regimens.