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

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.

Implementation, enrollment, and engagement in an opt-out telehealth pharmacist-assisted tobacco treatment program for patients seen in oncology outpatient clinics

OBJECTIVE

To describe the workflow, reach, cost, and self-reported quit rates for an opt-out tobacco treatment program (TTP) for patients seen in 43 oncology outpatient clinics.

METHODS

Between May 25, 2021, and December 31, 2022, adult patients (≥18 years) visiting clinics affiliated with the Medical University of South Carolina Hollings Cancer Center were screened for smoking status. Those currently smoking were referred to a telehealth pharmacy-assisted TTP. An attempt was made to contact referred patients by phone. Patients reached were offered free smoking cessation counseling and a 2-week starter kit of nicotine replacement medication. A random sample of 420 patients enrolled in the TTP were selected to participate in a telephone survey to assess smoking status 4 to 12 months after enrollment.

RESULTS

During the reference period 35,756 patients were screened and 9.3% were identified as currently smoking. Among the 3319 patients referred to the TTP at least once, 2393 (72.1%) were reached by phone, of whom 426 (12.8%) were ineligible for treatment, 458 (13.8%) opted out of treatment, and 1509 (45.5%) received treatment. More than 90% of TTP enrollees smoked daily, with an average of 13.1 cigarettes per day. Follow-up surveys were completed on 167 of 420 patients, of whom 23.4% to 33.5% reported not smoking; if all nonresponders to the survey are counted as smoking, the range of quit rates is 9.3% to 13.3%.

CONCLUSION

The findings demonstrate the feasibility of reaching and delivering smoking cessation treatments to patients from a diverse set of geographically dispersed oncology clinics.

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.

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.

A Longitudinal Study of Perceptions of the Massachusetts Menthol Ban and Its Impact on Smoking Behaviors among Marginalized Individuals

Menthol cigarettes have had a profound adverse effect on public health. On 1 June 2020, Massachusetts became the first state to ban the sale of menthol cigarettes. We explored how perceptions of the ban and smoking behaviors changed over time among a group of 27 individuals who smoked menthol cigarettes at our safety-net hospital. In a convergent mixed methods study, we administered questionnaires and interviews simultaneously at two timepoints: 1 month pre-ban and 6 months post-ban. Pre-ban, we assessed perceptions of the ban and anticipated smoking behaviors after the ban. Post-ban, we assessed participants' actual smoking behaviors and elicited suggestions to avoid unintended consequences that might undermine intended policy effects. Several respondents perceived the Massachusetts ban as positive because it could promote smoking cessation, prevent youth initiation, and mitigate unfair targeting of socioeconomically disadvantaged populations. Others perceived the ban as an overreach of government policy, financially motivated, and unfairly targeting the Black community. Many continued to smoke menthol cigarettes obtained outside Massachusetts. Individuals suggested promoting tobacco treatment for people affected by the ban and a national ban to circumvent out-of-state purchasing of menthol cigarettes. Our findings suggest that in order to be most effective, healthcare systems must promote tobacco treatment and ensure that treatment is accessible to all individuals affected by the ban.

Integrating Tobacco Treatment Into Oncology Care: Reach and Effectiveness of Evidence-Based Tobacco Treatment Across National Cancer Institute-Designated Cancer Centers

PURPOSE

Quitting smoking improves patients' clinical outcomes, yet smoking is not commonly addressed as part of cancer care. The Cancer Center Cessation Initiative (C3I) supports National Cancer Institute-designated cancer centers to integrate tobacco treatment programs (TTPs) into routine cancer care. C3I centers vary in size, implementation strategies used, and treatment approaches. We examined associations of these contextual factors with treatment reach and smoking cessation effectiveness.

METHODS

This cross-sectional study used survey data from 28 C3I centers that reported tobacco treatment data during the first 6 months of 2021. Primary outcomes of interest were treatment reach (reach)-the proportion of patients identified as currently smoking who received at least one evidence-based tobacco treatment component (eg, counseling and pharmacotherapy)-and smoking cessation effectiveness (effectiveness)-the proportion of patients reporting 7-day point prevalence abstinence at 6-month follow-up. Center-level differences in reach and effectiveness were examined by center characteristics, implementation strategies, and tobacco treatment components.

RESULTS

Of the total 692,662 unique patients seen, 44,437 reported current smoking. Across centers, a median of 96% of patients were screened for tobacco use, median smoking prevalence was 7.4%, median reach was 15.4%, and median effectiveness was 18.4%. Center-level characteristics associated with higher reach included higher smoking prevalence, use of center-wide TTP, and lower patient-to-tobacco treatment specialist ratio. Higher effectiveness was observed at centers that served a larger overall population and population of patients who smoke, reported a higher smoking prevalence, and/or offered electronic health record referrals via a closed-loop system.

CONCLUSION

Whole-center TTP implementation among inpatients and outpatients, and increasing staff-to-patient ratios may improve TTP reach. Designating personnel with tobacco treatment expertise and resources to increase tobacco treatment dose or intensity may improve smoking cessation effectiveness.

Optimizing the Implementation of Tobacco Treatment for People with HIV: A Pilot Study

People with HIV (PWH) have higher rates of tobacco use compared to their societal counterparts and are disproportionately affected by tobacco-related morbidity and mortality. A needs assessment was conducted to assess provider beliefs and opinions on tobacco treatment barriers and treatment approaches. The results highlighted a disconnect between the known importance of quitting smoking and barriers in linking patients to treatment, such as lack of patient interest and other patient issues being a higher priority. Using this assessment data, a treatment delivery approach, Proactive Outreach with Medication Opt-out for Tobacco Treatment Engagement (PrOMOTE), was devised and piloted. PrOMOTE consisted of an outpatient clinical pharmacist trained in tobacco treatment proactively contacting patients for counseling and to prescribe smoking cessation pharmacotherapy (varenicline or dual nicotine replacement therapy (NRT)) using an opt-out approach. The pilot was conducted with 10 PWH and patient reach and opt-out rates were evaluated. Of the 10 patients contacted, 7 were reached and none opted out of the pharmacotherapy prescription (varenicline = 6; NRT = 1). Providers know the importance of smoking cessation for PWH but encounter several barriers to implementing treatment. Using PrOMOTE methods to deliver tobacco treatment increased the reach and pharmacotherapy acceptance rate of PWH who smoke.

Anesthesiologists and the Other Pandemic: Tobacco Use

Tobacco use will kill a projected 1 billion people in the 21st century in one of the deadliest pandemics in history. Tobacco use disorder is a disease with a natural history, pathophysiology, and effective treatment options. Anesthesiologists can play a unique role in fighting this pandemic, providing both immediate (reduction in perioperative risk) and long-term (reduction in tobacco-related diseases) benefits to their patients who are its victims. Receiving surgery is one of the most powerful stimuli to quit tobacco. Tobacco treatments that combine counseling and pharmacotherapy (e.g., nicotine replacement therapy) can further increase quit rates and reduce risk of morbidity such as pulmonary and wound-related complications. The perioperative setting provides a great opportunity to implement multimodal perianesthesia tobacco treatment, which combines multiple evidence-based tactics to implement the four core components of consistent ascertainment and documentation of tobacco use, advice to quit, access to pharmacotherapy, and referral to counseling resources.

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.

Hospitalization as an opportunity to engage underserved individuals in shared decision-making for lung cancer screening: results from two randomized pilot trials

PURPOSE

Medicare requires tobacco dependence counseling and shared decision-making (SDM) for lung cancer screening (LCS) reimbursement. We hypothesized that initiating SDM during inpatient tobacco treatment visits would increase LCS among patients with barriers to proactively seeking outpatient preventive care.

METHODS

We collected baseline assessments and performed two pilot randomized trials at our safety-net hospital. Pilot 1 tested feasibility, acceptability, and preliminary efficacy of a nurse practitioner initiating SDM for LCS during hospitalization (Inpatient SDM). We collected qualitative data on barriers encountered during Pilot 1. Pilot 2 added a community health worker (CHW) to address barriers to LCS completion (Inpatient SDM + CHW-navigation). For both studies, preliminary efficacy was an intention-to-treat analysis of LCS completion at 3 months between intervention and comparator (furnishing of LCS decision aid only) groups.

RESULTS

Baseline assessments showed that patients preferred in-person LCS discussions versus self-reviewing materials; overall 20% had difficulty understanding written information. In Pilot 1, 4% (2/52) in Inpatient SDM versus 2% (1/48, comparator) completed LCS (p = 0.6), despite 89% (89/100) desiring LCS. Primary care providers noted that competing priorities and patient factors (e.g., social barriers to keeping appointments) prevented the intervention from working as intended. In Pilot 2, 50% (5/10) in Inpatient SDM + CHW-navigation versus 9% (1/11, comparator) completed LCS (p < 0.05). Many patients were ineligible due to recent diagnostic chest CT (Pilot 1: 255/659; Pilot 2: 239/527).

CONCLUSIONS

Inpatient SDM + CHW-navigation shows promise to improve LCS rates among underserved patients who smoke, but feasibility is limited by recent diagnostic chest CT among inpatients. Implementing CHW-navigation in other clinical settings may facilitate LCS for underserved patients.

TRAIL REGISTRATION

ClinicalTrials.gov Identifier: NCT03276806 (8 September 2017); NCT03793894 (4 January 2019).

Text-messaging to promote smoking cessation among individuals with opioid use disorder: quantitative and qualitative evaluation

INTRODUCTION

Individuals with opioid use disorder (OUD) who smoke cigarettes have high tobacco-related comorbidities, lack of access to tobacco treatment, lack of inclusion in smoking cessation trials, and remain understudied in the mobile health field. The purpose of this study was to understand patients' with OUD perceptions of 1) text message programs to promote smoking cessation, 2) content and features to include in such a program, and 3) how message content should be framed.

METHODS

From December 2018 to February 2019, we recruited 20 hospitalized individuals with a concurrent diagnosis of OUD and tobacco dependence at Boston Medical Center (BMC), the largest safety-net hospital in New England. We surveyed participants' cell phone use, their interest in a text message program to promote smoking cessation, and their reactions to and ratings of a series of 26 prototype texts. We then conducted open-ended interviews to elicit content and suggestions on how text message interventions can improve motivation to increase smoking cessation among individuals with OUD. The interviews also included open-ended inquiries exploring message ratings and message content, inquiries about preferences for message duration, frequency, and personalization.

RESULTS

Quantitative analysis of questionnaire data indicated that the majority of participants owned a cell phone (95%, 19/20). Most participants (60%, 12/20) reported that they would be interested or very interested in receiving text messages about smoking cessation. Text messages about the health benefits of quitting were rated the highest among various categories of text messages. Qualitative analysis showed that almost every participant felt that text messages would help motivate smoking cessation given the support it would provide.

CONCLUSIONS

This study demonstrates that individuals with OUD who smoke cigarettes perceive that a text message program designed to promote smoking cessation would motivate and support smoking cessation efforts. Our findings demonstrate that such a program is feasible as participants own cell phones, frequently send and receive text messages, and have unlimited text message plans. Findings from this study provide valuable insight into content and features to include when developing text message programs to address barriers to smoking cessation in individuals who have OUD and smoke cigarettes.

Effect of Technology-Assisted Brief Abstinence Game on Long-term Smoking Cessation in Individuals Not Yet Ready to Quit: A Randomized Clinical Trial

IMPORTANCE

Most trials of behavioral or pharmaceutical interventions for people who smoke are limited to individuals reporting they are ready to quit smoking. Engaging individuals who initially report they are not yet ready to quit in brief, precessation, skills-building interventions (eg, practice quit attempts or nicotine replacement therapy [NRT] sampling) is challenging.

OBJECTIVE

To test an integrated behavioral plus NRT-sampling intervention using a gamification approach supported by mobile health.

DESIGN, SETTING, AND PARTICIPANTS

A multisite randomized clinical trial with site-level 1-to-1 allocation into 2 conditions was conducted in 4 US health care systems. A total of 433 individuals who were currently smoking and reported at enrollment that they were not ready to quit smoking were enrolled. The study was conducted from November 7, 2016, to July 31, 2020.

INTERVENTIONS

Take a Break (TAB) was a 3-week game experience and included 5 behavioral components (motivational messaging, challenge quizzes, brief abstinence goal setting, mobile health apps for cravings management, and reward points for participation) integrated with NRT sampling. TAB draws on social cognitive theory and game mechanics concepts to engage participants in health behavior change. The comparison included NRT sampling only.

MAIN OUTCOMES AND MEASURES

Time to first quit attempt (duration from TAB experience to primary outcome) and carbon monoxide level-verified smoking cessation at 6-month follow-up. All analyses used an intention-to-treat approach.

RESULTS

Of the 433 individuals included in the trial, 223 were women (52%); mean (SD) age was 54 (13) years. More than half (53% [112 of 213]) of the TAB participants completed 100% of the daily challenge quizzes in the first week, 73% (145 of 199) of participants who completed the goal-setting call set a brief abstinence goal (most frequently 1-2 days of abstinence from cigarettes), and 75% (159 of 213) of participants used the mobile health apps to manage nicotine cravings. Time to the first quit attempt was lower for the TAB vs comparison group (hazard ratio, 1.68; 95% CI, 1.09-2.60; P = .02). At the 6-month follow-up, 18% (28 of 160) of TAB participants and 10% (17 of 171) of the comparison (χ2 test, P = .045) participants obtained carbon monoxide level-verified smoking cessation (accounting for clustering of outcomes by site; odds ratio, 1.92; 95% CI, 1.01-3.68; P = .048).

CONCLUSIONS AND RELEVANCE

The findings of this randomized clinical trial demonstrate that individuals not yet ready to quit smoking could be engaged in a brief abstinence game. Six months later, the TAB group had nearly double the rate of smoking cessation vs the NRT sampling comparison group. Integrating a skills-building game experience with brief NRT sampling can enhance long-term cessation among those not yet ready to quit smoking.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02973425.

Use of pre-enrollment randomization and delayed consent to maximize participation in a clinical trial of opt-in versus opt-out tobacco treatment

Background: Enrollment in smoking cessation trials remain sub-optimal. The aim of this analysis was to determine the effectiveness of a modified Zelen's design in engaging hospitalized patients who smoke in a pragmatic OPT-IN versus OPT-OUT tobacco treatment trial. Methods: At bedside, clinical staff screened smokers for eligibility, randomized eligible into study arms, and delivered the appropriate treatment approach. Study staff called randomized patients at one-month post-discharge, debriefed patients on the study design, and collected consent to participate. We used frequencies and percentages for categorical variables and means and standard deviations for quantitative variables to describe the characteristics of those who consented and were enrolled versus those who did not enroll. We also compared the characteristics of participants who consented and those who were reached and explicitly refused consent at one-month follow-up. We used the Cohen's d measure of effect size to evaluate differences. Results: Of the 1,000 randomized, 741 (74.1%) consented to continue in the study at one-month follow-up. One hundred and twenty-seven (12.7%) refused consent and 132 (13.2%) were unreachable. Cohen's d effect size differences between those who consented/enrolled (n = 741) and those who were not enrolled (n = 259) were negligible (<0.2) for age, gender, race/ethnicity, and most forms of insurance. The effect size was small for Medicaid (0.36), and other public insurance (0.48). After excluding those unreached at 1 month (12.7%), there were medium Cohen's d effect size differences between those who consented to participate (n = 741) and those who explicitly refused (n = 127) with respect to age (0.55) and self-pay or no insurance (0.51). There were small to negligible effect size differences with respect to sex, race/ethnicity, and other forms of health insurance. Conclusions: The modified Zelen's design resulted in successful enrollment of most participants who were initially randomized into the trial, including those not motivated to quit.

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.

Improving preprocedure antithrombotic management: Implementation and sustainment of a best practice alert and pharmacist referral process

BACKGROUND

Electronic medical record-based interventions such as best practice alerts, or reminders, have been proposed to improve evidence-based medication prescribing. Formal implementation evaluation including long-term sustainment are not commonly reported. Preprocedural medication management is often a complex issue for patients taking antithrombotic medications.

METHODS

We implemented a best practice alert (BPA) that recommended referral to an anticoagulation clinic before outpatient elective gastrointestinal (GI) endoscopies. Eligible patients were taking an oral anticoagulant (warfarin or direct oral anticoagulant [DOAC]) and/or antiplatelet medications. Patients referred to the anticoagulation clinic were compared to those managed by the ordering provider. Outcomes assessed included guideline-adherent drug management before endoscopy, documentation of a medication management plan, guideline-adherent rates of bridging for high-risk patients taking warfarin, and evaluation for sustained use of BPA.

RESULTS

Eighty percent of patients (553/691) were referred to the anticoagulation clinic during the initial 13-month study period. Most referrals came from gastroenterologists (397/553; 71.8%) followed by primary care providers (127/554; 22.9%). Patients referred had improved rates of guideline-adherent medication management compared to those who were not referred (97.4% vs 91.0%; P = .001). Documentation of medication plan was significantly higher in the referred group (99.1% vs 59.4%; P ≤ .001). There were no differences in rates of appropriate bridging for patients taking warfarin. Implementation of the BPA also resulted in sustained, consistent use over an additional 18 months following the initial study period.

CONCLUSION

Implementation of a BPA before elective outpatient GI endoscopies was associated with improved rates of guideline-adherent medication management and documented management plan, while streamlining preprocedural medication management.

Patient navigation among recently hospitalized smokers to promote tobacco treatment: Results from a randomized exploratory pilot study

INTRODUCTION

Adding screening for health-related social needs to tobacco treatment interventions initiated during hospitalizations may improve intervention effectiveness among vulnerable populations. Our objective was to examine the effect the acceptability and feasibility of a intervention in which a patient navigator screens for and addresses social needs to increase receipt of smoking cessation medication among recently hospitalized smokers at a safety-net hospital.

METHODS

In a two-group randomized exploratory pilot study, we assigned hospitalized smokers to either the Enhanced Traditional Control (ETC) group (list of smoking cessation resources) or ETC + Patient Navigation (up to 10 h of navigation over a 3-month period, in which a navigator screens for and addresses health-related social needs). We assessed socio-demographics, smoking-related variables, and process data.

RESULTS

Of 171 individuals screened, 44 (26%) were enrolled. Participants (mean age = 54.9 years, 61.4% non-Hispanic black, 68.2% high school education or less) smoked a mean of 11.4 cigarettes/day. 20 participants received a prescription for a cessation medication, 42.9% in the ETC group and 47.8% in the ETC + Patient Navigation group. 11 participants (47.8%) in the ETC + Patient Navigation group received the minimum intervention dose (completion of the social needs screener and at least one counseling session). Barriers to navigation were participants' medical illness and difficulty connecting with participants.

CONCLUSIONS

Although nearly half of hospitalized smokers receiving support from a patient navigator received a prescription for a smoking cessation medication, the percentage did not differ by study arm. Refinement of the protocol to coordinate with hospital-wide tobacco treatment and social needs screening initiatives is needed.

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.