Electronic health record closed-loop referral ("eReferral") to a state tobacco quitline: a retrospective case study of primary care implementation challenges and adaptations.

BACKGROUND: Health system change can increase the reach of evidence-based smoking cessation treatments. Proactive electronic health record (EHR)-enabled, closed-loop referral ("eReferral") to state tobacco quitlines increases the rates at which patients who smoke accept cessation treatment. Implementing such system change poses many challenges, however, and adaptations to system contexts are often required, but are understudied. This retrospective case study identified adaptations to eReferral EHR tools and implementation strategies in two healthcare systems. METHODS: In a large clustered randomized controlled trial (C-RCT; NCT02735382) conducted in 2016-2017, 11 primary care clinics in two healthcare systems implemented quitline eReferral, starting with 1 pilot clinic per system followed by 2 phases of implementation (an experimental phase in 5-6 test clinics per system and then a system-wide dissemination phase in both systems). Adaptations were informed by stakeholder input from live trainings, follow-up calls and meetings in the first month after eReferral launch, emails, direct observation by researchers, and clinic staff survey responses. Retrospective, descriptive analysis characterized implementation strategy modifications and adaptations using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS). A pre- and post-implementation survey assessed staff ratings of eReferral acceptability and implementation barriers and facilitators. FINDINGS: Major modifications to closed-loop eReferral implementation strategies included aligning the eReferral initiative with other high-priority health system objectives, modifying eReferral user interfaces and training in their use, modifying eReferral workflows and associated training, and maintaining and enhancing interoperability and clinician feedback functions. The two health systems both used Epic EHRs but used different approaches to interfacing with the quitline vendor and integrating eReferral into clinician workflows. Both health systems engaged in iterative refinement of the EHR alert prompting eReferral, the eReferral order, trainings, and workflows. Staff survey comments suggested moderate acceptability of eReferral processes and identified possible targets for future modifications in eReferral, including reducing clinician burden related to EHR documentation and addressing clinicians' negative beliefs about patient receptivity to cessation treatment. CONCLUSIONS: System-wide implementation of tobacco quitline eReferral in primary care outpatient clinics is feasible but requires extensive coordination across stakeholders, tailoring to local health system EHR configurations, and sensitivity to system- and clinic-specific workflows. TRIAL REGISTRATION: www. CLINICALTRIALS: gov, NCT02735382 . Registered on 12 August 2016.

Achieving Equity in the Reach of Smoking Cessation Services Within the NCI Cancer Moonshot-Funded Cancer Center Cessation Initiative.

Background: Ensuring equitable access to smoking cessation services for cancer patients is necessary to avoid increasing disparities in tobacco use and cancer outcomes. In 2017, the Cancer Center Cessation Initiative (C3I) funded National Cancer Institute (NCI)-designated Cancer Centers to integrate evidence-based smoking cessation programs into cancer care. We describe the progress of C3I Cancer Centers in expanding the reach of cessation services across cancer populations. Methods: Cancer centers (n=17) reported on program characteristics and reach (the proportion of smokers receiving evidence-based cessation treatment) for two 6-month periods. Reach was calculated overall and by patient gender, race, ethnicity, and age. Results: Average reach increased from 18.5% to 25.6% over 1 year. Reach increased for all racial/ethnic groups, and in particular for American Indian/Alaska Native (6.6-24.7%), Asian/Native Hawaiian/Pacific Islander (7.3-19.4%), and black (18.8-25.9%) smokers. Smaller gains in reach were observed among Hispanic smokers (19.0-22.8%), but these were similar to gains among non-Hispanic smokers (18.9-23.9%). By age group, smokers aged 18-24 years (6.6-14.5%) and >65 years (16.1-24.5%) saw the greatest increases in reach. Conclusion: C3I Cancer Centers achieved gains in providing smoking cessation services to cancer patients who smoke, thereby reducing disparities that had existed across important subgroups. Taking a population-based approach to integrating tobacco treatment into cancer care has potential to increase reach equity. Implementation strategies including targeted and proactive outreach to patients and interventions to increase providers' adoption of evidence-based smoking cessation treatment may advance reach even further.

Pragmatic Application of the RE-AIM Framework to Evaluate the Implementation of Tobacco Cessation Programs Within NCI-Designated Cancer Centers.

Tobacco cessation after cancer diagnosis leads to better patient outcomes. However, tobacco treatment services are frequently unavailable in cancer care settings, and multilevel implementation challenges can impede uptake of new programs. The National Cancer Institute (NCI) dedicated Cancer Moonshot funding through the Cancer Center Cessation Initiative (C3I) for NCI-Designated Cancer Centers to implement or enhance the implementation of tobacco treatment services. We examined a pragmatic application of the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance) to evaluate tobacco treatment programs implemented within Cancer Centers funded through C3I. Using three C3I-funded Centers as examples, we describe how each RE-AIM construct was operationalized to evaluate the implementation of a wide range of cessation services (e.g., tobacco use screening, counseling, Quitline referral, pharmacotherapy) in this heterogeneous group of cancer care settings. We discuss the practical challenges encountered in assessing RE-AIM constructs in real world situations, including using the electronic health record (EHR) to aid in assessment. Reach and effectiveness evaluation required that Centers define the setting(s) where cessation services were implemented (to determine the "denominator"), enumerate the patient population, report current patient tobacco use, patient engagement in tobacco treatment, and 6-month cessation outcomes. To reduce site heterogeneity, increase data accuracy, and reduce burden, reach was frequently captured via standardized EHR enhancements that improved the identification of current smokers and tobacco treatment referrals. Effectiveness was determined by cessation outcomes (30-day point prevalence abstinence at 6-months post-engagement) assessed through a variety of data collection approaches. Adoption was measured by the characteristics and proportion of targeted cancer care settings and clinicians engaged in cessation service delivery. Implementation was assessed by examining the delivery of tobacco screening assessments and intervention components across sites, and provider-level implementation consistency. Maintenance assessments identified whether tobacco treatment services continued in the setting after implementation and documented the sustainability plan and organizational commitment to continued delivery. In sum, this paper demonstrates a pragmatic approach to using RE-AIM as an evaluation framework that yields relevant outcomes on common implementation metrics across widely differing tobacco treatment approaches and settings.

Motives for Smoking in Those With PTSD, Depression, and No Psychiatric Disorder.

Objective: Approaches for effectively treating smoking in those with posttraumatic stress disorder (PTSD) and with major depressive disorder (MDD) could be improved by identifying motivational processes underlying their tobacco dependence. The goal of this study was to identify the motivational processes influencing smoking dependence among smokers with PTSD and with MDD relative to non-diagnosed controls. Methods: Participants were United States (US) veterans who smoked daily (N = 162) and met DSM-IV criteria for either PTSD (n = 52), MDD (n = 52), or no current psychiatric disorder (controls; n = 58). Smoking dependence motives were assessed via the Brief Wisconsin Inventory for Smoking Dependence Motives (Brief WISDM). The 11 Brief WISDM subscales are categorized into two major factors: Primary Dependence Motives and Secondary Dependence Motives. Results: Smokers with PTSD scored higher than non-diagnosed controls on the following Primary Dependence Motives subscales: Automaticity, Craving, and Tolerance (all p-values <.05). Smokers with PTSD, relative to controls, also scored higher on the overall Secondary Dependence Motives subscale, and on five of the seven Secondary Dependence Motives subscales: Cue Exposure/Associative Processes, Affective Enhancement, Affiliative Attachment, Cognitive Enhancement, and Weight Control (all p-values < .05). Smokers with MDD scored significantly higher than controls on one Primary Dependence Motives subscale: Craving and on four of seven Secondary Dependence Motives subscales: Affective Enhancement, Affiliative Attachment, Cognitive Enhancement, and Weight Control (all p-values <.05). Finally, exploratory analyses directly contrasting the PTSD group with the MDD group showed that smokers with PTSD were higher than those with MDD in the overall Secondary Dependence Motives subscale and one of the seven Secondary Dependence Motives subscales: Cue Exposure/Associative Processes (all p-values < .05). Conclusions: Results suggest that both Primary Dependence Motives and Secondary Dependence Motives play a meaningful role in motivation to use tobacco in smokers with PTSD; smoking dependence in those with MDD may be primarily influenced by Secondary Dependence Motives.

Tobacco Treatment Program Implementation at NCI Cancer Centers: Progress of the NCI Cancer Moonshot-Funded Cancer Center Cessation Initiative.

Quitting smoking leads to improved outcomes for patients with cancer, yet too few patients receive cessation services during their oncology healthcare visits. The National Cancer Institute (NCI) dedicated Cancer Moonshot funding for NCI-Designated Cancer Centers to develop a population-based approach to reach all patients who smoke with tobacco treatment services. As a result, the Cancer Center Cessation Initiative (C3I) offers an unparalleled opportunity to identify effective implementation strategies and barriers to delivering tobacco treatment services across multiple clinical oncology settings. Over one year after receiving funding, the first cohort of C3I funded Centers demonstrated progress in hiring tobacco treatment specialists, adding new tobacco treatment programs, and integrating EHR-based tobacco treatment referrals. However, tobacco treatment program reach remains low in some settings, even using a broad definition of patient engagement. Centers identified implementation challenges related to staff training needs, devising new clinical workflows, and engagement of IT leadership. Understanding implementation challenges may help other clinical oncology settings effectively implement tobacco treatment programs, leading to improved cancer outcomes by helping patients quit smoking.