A Pilot Study to Evaluate the Use of Automated Nicotine Metabolite Ratio Reporting within Primary Care as an Implementation Strategy to Increase the Use of Tobacco Treatments.

INTRODUCTION: Concerns about safety and effectiveness of tobacco treatments reduce their use. We explored integrating the nicotine metabolite ratio (NMR), and messaging about its potential for improving safety and effectiveness, as a strategy to increase use of tobacco treatments within primary care. METHODS: Through a prospective cohort design, we explored the effects of integrating NMR testing within primary care on the provision of tobacco treatment; 65 patients completed assessments including NMR before a clinic visit. At the clinic visit, patients' clinicians received an electronic health record alert about the patient's NMR and personalized treatment recommendations to improve effectiveness and safety. Being asked about smoking and advised to quit, and a referral for tobacco treatment or medication prescription, were assessed within 30 days of the appointment and were compared to a usual care cohort (N=85). RESULTS: The NMR and usual care cohorts reported similar rates of being asked about smoking (92.3% vs. 92.9%, p=1.0), being advised to quit (72.3% vs. 74.1%, p=0.85), being referred for tobacco treatment (23.1% vs. 36.5%, p=0.11), and receiving tobacco use medications (20% vs. 27.1%, p=0.34). In the NMR cohort, fast vs. slow metabolizers were more likely to receive medication (26% vs. 0%, p=0.003) and all patients who received varenicline (n=8) were fast metabolizers. CONCLUSIONS: NMR results and treatment recommendations did not increase tobacco treatment rates in primary care, although it may increase treatment rates and use of varenicline for fast metabolizers. Future studies could test ways to use the NMR to increase tobacco treatment rates in clinical settings. IMPLICATIONS: This study generated a novel implementation strategy, namely an electronic health record alert about patients' NMR and personalized treatment recommendations, in an effort to increase tobacco treatment rates in primary care. While the strategy did not increase tobacco treatment rates, it may have boosted the rate of varenicline prescription for patients who metabolize nicotine faster, aligning with evidence-based practice.

Effect of early medication adherence on behavioral treatment utilization and smoking cessation among individuals with current or past major depressive disorder.

SIGNIFICANCE: Little is known about the mechanisms by which medication adherence promotes smoking cessation among adults with MDD. We tested the hypothesis that early adherence promotes abstinence by increasing behavioral treatment (BT) utilization. METHODS: Data for this post-hoc analysis were from a randomized trial of 149 adults with current or past MDD treated with BT and either varenicline (n = 81) or placebo (n = 68). Arms were matched on medication regimen. Early medication adherence was measured by the number of days in which medication was taken at the prescribed dose during the first six of 12 weeks of pharmacological treatment (weeks 2-7). BT consisted of eight 45-minute sessions (weeks 1-12). Bioverified abstinence was assessed at end-of-treatment (week 14). A regression-based approach was used to test whether the effect of early medication adherence on abstinence was mediated by BT utilization. RESULTS: Among 141 participants who initiated the medication regimen, BT utilization mediated the effect of early medication adherence on abstinencea) an interquartile increase in early medication days from 20 to 42 predicted a 4.2 times increase in abstinence (Total Risk Ratio (RR) = 4.24, 95% CI = 2.32-13.37; p <.001); b) increases in BT sessions predicted by such an increase in early medication days were associated with a 2.7 times increase in abstinence (Indirect RR = 2.73, 95% CI = 1.54-7.58; p <.001); and c) early medication adherence effects on abstinence were attenuated, controlling for BT (Direct RR = 1.55, 95% CI = 0.83-4.23, p =.17). CONCLUSIONS: The effect of early medication adherence on abstinence in individuals with current or past MDD is mediated by intensive BT utilization.

Protocol for a pragmatic stepped wedge cluster randomized clinical trial testing behavioral economic implementation strategies to increase supplemental breast MRI screening among patients with extremely dense breasts.

BACKGROUND: Increased breast density augments breast cancer risk and reduces mammography sensitivity. Supplemental breast MRI screening can significantly increase cancer detection among women with dense breasts. However, few women undergo this exam, and screening is consistently lower among racially minoritized populations. Implementation strategies informed by behavioral economics ("nudges") can promote evidence-based practices by improving clinician decision-making under conditions of uncertainty. Nudges directed toward clinicians and patients may facilitate the implementation of supplemental breast MRI. METHODS: Approximately 1600 patients identified as having extremely dense breasts after non-actionable mammograms, along with about 1100 clinicians involved with their care at 32 primary care or OB/GYN clinics across a racially diverse academically based health system, will be enrolled. A 2 × 2 randomized pragmatic trial will test nudges to patients, clinicians, both, or neither to promote supplemental breast MRI screening. Before implementation, rapid cycle approaches informed by clinician and patient experiences and behavioral economics and health equity frameworks guided nudge design. Clinicians will be clustered into clinic groups based on existing administrative departments and care patterns, and these clinic groups will be randomized to have the nudge activated at different times per a stepped wedge design. Clinicians will receive nudges integrated into the routine mammographic report or sent through electronic health record (EHR) in-basket messaging once their clinic group (i.e., wedge) is randomized to receive the intervention. Independently, patients will be randomized to receive text message nudges or not. The primary outcome will be defined as ordering or scheduling supplemental breast MRI. Secondary outcomes include MRI completion, cancer detection rates, and false-positive rates. Patient sociodemographic information and clinic-level variables will be examined as moderators of nudge effectiveness. Qualitative interviews conducted at the trial's conclusion will examine barriers and facilitators to implementation. DISCUSSION: This study will add to the growing literature on the effectiveness of behavioral economics-informed implementation strategies to promote evidence-based interventions. The design will facilitate testing the relative effects of nudges to patients and clinicians and the effects of moderators of nudge effectiveness, including key indicators of health disparities. The results may inform the introduction of low-cost, scalable implementation strategies to promote early breast cancer detection. TRIAL REGISTRATION: ClinicalTrials.gov NCT05787249. Registered on March 28, 2023.

Depression Severity Moderates Reward Learning Among Smokers with Current or Past Major Depressive Disorder in a Smoking Cessation Randomized Clinical Trial.

INTRODUCTION: Behavioral and pharmacological smoking cessation treatments are hypothesized to increase patients' reward learning to reduce craving. Identifying changes in reward learning processes that support effective tobacco dependence interventions among smokers who experience depression may guide patients towards efficient treatment strategies. The objective was to investigate the extent to which adult daily cigarette smokers with current or past major depressive disorder (MDD) learned to seek reward during 12 weeks of treatment combining behavioral activation and varenicline. We hypothesized that a decline in reward learning would be attenuated (least to most) in the following order: 1) Behavioral activation integrated with ST (BASC) + varenicline, 2) BASC + placebo, 3) Standard behavioral cessation treatment (ST) + varenicline, 4) ST + placebo. METHODS: We ran a Phase 4, placebo-controlled, randomized clinical trial with 300 participants receiving 12 weeks of one of four conditions across two urban medical centers. Depressive symptoms were measured using the Beck Depression Inventory-II (BDI). Reward learning was ascertained at Weeks 1, 7, and 14 using the Probabilistic Reward Task (PRT), a laboratory task that uses an asymmetric reinforcement schedule to assess (a) learning to seek reward (response bias), (b) differentiate between stimuli, and (c) time to react to cues. RESULTS: There was a significant interaction of BDI group x PRT response bias. Response bias declined from Week 7 to 14 among participants with high baseline depression symptoms. The other two BDI groups showed no change in response bias. CONCLUSIONS: Controlling for baseline depression, participants showed a decrease in response bias from Week 1 to 14, and from Weeks 7 to 14. Treatment condition and abstinence status were unassociated with change in reward learning. IMPLICATIONS: Smokers who report greater depression severity show a decline in reward learning despite their participation in smoking cessation treatments, suggesting that depressed populations pose unique challenges with standard smoking cessation approaches.

Seeing Through the Blind: Belief about Treatment Randomization and Smoking Cessation Outcome among People with Current or Past Major Depressive Disorder who Smoke in a Placebo-Controlled Trial of Varenicline.

INTRODUCTION: Blinding participants to randomization is a cornerstone of science. However, participant beliefs about their allocation can influence outcomes. We examined blind integrity, the association between trial arm belief and cessation, and potential mechanisms linking treatment arm and treatment arm belief among people with major depressive disorder (MDD) who smoke receiving varenicline in a placebo-controlled trial. METHODS: 175 participants were asked at the end of treatment (EOT) if they thought they received placebo, varenicline, or were not sure. We assessed the relationship between treatment arm belief and actual treatment allocation, examined the association between treatment arm belief and EOT cessation, and evaluated changes in craving, withdrawal, side effects, depression symptoms, and smoking reward as mediators through which treatment arm was believed. RESULTS: Treatment arm belief was significantly associated with actual arm assignment (χ2(2)=13.0, p=0.002). Participants in the varenicline arm were >3 times as likely to believe they were taking varenicline, vs. "not sure" (RR=3.05 [1.41-6.60], p=0.005). Participants in the placebo arm were just as likely to believe they were taking placebo vs. "not sure" (χ2[2]=0.75, p=0.69). Controlling for treatment arm, belief that one received varenicline was significantly associated with an increase in cessation rate (OR=5.91 [2.06-16.92], p=0.001). Change in the rewarding experience of smoking may mediate participant ability to discern getting varenicline B=0.077 [0.002-0.192], p <0.05). CONCLUSIONS: Participants receiving varenicline can discern that they received varenicline and this belief is associated with higher cessation rates. Research is needed to continue to examine how participants correctly identify their allocation to varenicline.

Protocol to evaluate sequential electronic health record-based strategies to increase genetic testing for breast and ovarian cancer risk across diverse patient populations in gynecology practices.

BACKGROUND: Germline genetic testing is recommended by the National Comprehensive Cancer Network (NCCN) for individuals including, but not limited to, those with a personal history of ovarian cancer, young-onset (< 50 years) breast cancer, and a family history of ovarian cancer or male breast cancer. Genetic testing is underused overall, and rates are consistently lower among Black and Hispanic populations. Behavioral economics-informed implementation strategies, or nudges, directed towards patients and clinicians may increase the use of this evidence-based clinical practice. METHODS: Patients meeting eligibility for germline genetic testing for breast and ovarian cancer will be identified using electronic phenotyping algorithms. A pragmatic cohort study will test three sequential strategies to promote genetic testing, two directed at patients and one directed at clinicians, deployed in the electronic health record (EHR) for patients in OB-GYN clinics across a diverse academic medical center. We will use rapid cycle approaches informed by relevant clinician and patient experiences, health equity, and behavioral economics to optimize and de-risk our strategies and methods before trial initiation. Step 1 will send patients messages through the health system patient portal. For non-responders, step 2 will reach out to patients via text message. For non-responders, Step 3 will contact patients' clinicians using a novel "pend and send" tool in the EHR. The primary implementation outcome is engagement with germline genetic testing for breast and ovarian cancer predisposition, defined as a scheduled genetic counseling appointment. Patient data collected through the EHR (e.g., race/ethnicity, geocoded address) will be examined as moderators of the impact of the strategies. DISCUSSION: This study will be one of the first to sequentially examine the effects of patient- and clinician-directed strategies informed by behavioral economics on engagement with breast and ovarian cancer genetic testing. The pragmatic and sequential design will facilitate a large and diverse patient sample, allow for the assessment of incremental gains from different implementation strategies, and permit the assessment of moderators of strategy effectiveness. The findings may help determine the impact of low-cost, highly transportable implementation strategies that can be integrated into healthcare systems to improve the use of genomic medicine. TRIAL REGISTRATION: ClinicalTrials.gov. NCT05721326. Registered February 10, 2023. https://www. CLINICALTRIALS: gov/study/NCT05721326.

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.

Change in cardiovascular health among adults with current or past major depressive disorder enrolled in intensive smoking cessation treatment.

BACKGROUND: Elevated depressive symptoms and cigarette smoking are independently associated with poorer cardiovascular health (CVH), but it is unknown whether their treatment can synergistically improve CVH. We sought to characterize CVH of adults with comorbid depression and smoking and examine changes in CVH associated with changes in smoking and depression. METHODS: Participants (N = 300, 55 % women) were adult smokers (≥ 1 cigarette/day) with lifetime major depressive disorder enrolled in a 12-week intervention trial targeting depression and smoking. Multiple linear regression examined prospective associations between changes in depression (Beck Depression Inventory-II), smoking (past 24-hour cigarettes or smoking abstinence), and modified CVH score (per American Heart Association, excluding smoking: diet, physical activity, body mass index, blood glucose, cholesterol, blood pressure). RESULTS: Baseline mean CVH score was 5.87/12 points (SD = 2.13). No participants met "ideal" on all CVH components (blood glucose: 48 %, cholesterol: 46 %, physical activity: 38 %, body mass index: 24 %, blood pressure: 22 %, diet: 3 %). CVH scores did not change from baseline to end-of-treatment (M = 0.18 points, SD = 1.36, p = .177), nor did change in depression × smoking predict change in CVH (p = .978). However, greater reductions in depression were significantly associated with greater improvements in CVH (ß = -0.04, SE = 0.01, p = .015). LIMITATIONS: This study was limited by a short follow-up period, missing blood glucose and cholesterol data, and treatment-seeking smokers. CONCLUSIONS: Adults with comorbid depression and smoking had poor CVH. Although integrated treatment for depression and smoking improved both conditions, only reductions in depression were associated with improvements in CVH. These findings have implications for integrating psychosocial treatment into CVH promotion efforts. REGISTRATION: NCT02378714 (clinicaltrials.gov).

Efficacy and safety of combination behavioral activation for smoking cessation and varenicline for treating tobacco dependence among individuals with current or past major depressive disorder: A 2 × 2 factorial, randomized, placebo-controlled trial.

BACKGROUND AND AIMS: Treatment of depression-related psychological factors related to smoking behavior may improve rates of cessation among adults with major depressive disorder (MDD). This study measured the efficacy and safety of 12 weeks of behavioral activation for smoking cessation (BASC), varenicline and their combination. DESIGN, SETTING, PARTICIPANTS: This study used a randomized, placebo-controlled, 2 × 2 factorial design comparing BASC versus standard behavioral treatment (ST) and varenicline versus placebo, taking place in research clinics at two urban universities in the United States. Participants comprised 300 hundred adult smokers with current or past MDD. INTERVENTIONS: BASC integrated behavioral activation therapy and ST to increase engagement in rewarding activities by reducing avoidance, withdrawal and inactivity associated with depression. ST was based on the 2008 PHS Clinical Practice Guideline. Both treatments consisted of eight 45-min sessions delivered between weeks 1 and 12. Varenicline and placebo were administered for 12 weeks between weeks 2 and 14. MEASUREMENTS: Primary outcomes were bioverified intent-to-treat (ITT) 7-day point-prevalence abstinence at 27 weeks and adverse events (AEs). FINDINGS: No significant interaction was detected between behavioral treatment and pharmacotherapy at 27 weeks (χ2 (1) = 0.19, P = 0.67). BASC and ST did not differ (χ2 (1) = 0.43, P = 0.51). Significant differences in ITT abstinence rates (χ2 (1) = 4.84, P = 0.03) emerged among pharmacotherapy arms (16.2% for varenicline, 7.5% for placebo), with results favoring varenicline over placebo (rate ratio = 2.16, 95% confidence interval = 1.08, 4.30). All significant differences in AE rates after start of medication were higher for placebo than varenicline. CONCLUSION: A randomized trial in smokers with major depressive disorder found that varenicline improved smoking abstinence versus placebo at 27 weeks without elevating rates of adverse events. Behavioral activation for smoking cessation did not outperform standard behavioral treatment, with or without adjunctive varenicline therapy.

Treatment adherence in a smoking cessation clinical trial for individuals with current or past major depressive disorder: Predictors and association with cessation.

INTRODUCTION: Individuals with major depressive disorder (MDD) exhibit high rates of tobacco use and lower responsiveness to tobacco cessation treatments. Treatment adherence is a strong predictor of treatment outcomes in the general population but has not been evaluated in this under-served community of smokers with MDD. METHODS: We used data from a randomized clinical trial on smoking cessation treatment among 300 smokers with MDD to examine the rate of adherence (medication and counseling), the association of adherence with cessation outcomes, and factors associated with adherence, including demographic and smoking characteristics, psychiatric characteristics, smoking cessation processes (e.g., withdrawal, reinforcers), and treatment-related side effects (e.g., nausea). RESULTS: Overall, 43.7% of participants were adherent with medication and 63.0% were adherent with counseling. Medication adherence was significantly associated with cessation, with 32.1% of adherent vs. 13.0% of non-adherent participants quitting smoking at EOT. Counseling adherence was also significantly associated with cessation, with 32.3% of adherent vs. 2.7% of non-adherent participants quitting smoking. Multivariate regression models showed that medication adherence was associated with higher engagement in complementary reinforcers and higher baseline smoking reward, while counseling adherence was associated with identifying as female, lower alcohol use and nicotine dependence, higher baseline smoking reward, and higher engagement in substitute and complementary reinforcers within the first weeks of medication use. CONCLUSIONS: As with the general population of smokers, non-adherence to treatment in smokers experiencing depression is widespread and a significant barrier to cessation. Interventions that target reinforcers may improve rates of treatment adherence.

Implementation Planning for Integrating Depression Screening in Diabetes Mellitus and HIV Clinics in Botswana.

Depression is highly prevalent and, when comorbid with other medical conditions, can worsen health outcomes. Implementing routine depression screening within medical clinics can ensure that patients receive suitable treatment and improve overall health outcomes. Unfortunately, depression screening within medical settings is rare, particularly in low- and middle-income countries. This qualitative study evaluated patient and clinician perspectives on implementing depression screening within HIV and diabetes clinics in Botswana. Seven clinicians and 23 patients within these clinics were purposively selected and interviewed using a guide informed by the Consolidated Framework for Implementation Research (CFIR) to understand barriers and facilitators to depression screening in medical clinics in Botswana. Interviews were recorded, transcribed, and analyzed using NVivo. Three general themes emerged: (1) Appropriateness and Acceptability: attitudes and beliefs from clinicians and patients about whether depression screening should occur in this setting; (2) Stigma as an important barrier: the need to address the negative associations with depression to facilitate screening; and (3) Recommendations to facilitate screening including improving knowledge and awareness about depression, offering incentives to complete the screening, providing staff training, ensuring resources for treatment, the need to preserve confidentiality, and utilizing leadership endorsement. These results offer insights into how to implement depression screening within medical clinics in Botswana. These results can help design implementation strategies to increase depression screening in these clinics, which can be tested in future studies. Supplementary Information: The online version contains supplementary material available at 10.1007/s43477-022-00062-3.

History and Correlates of Smoking Cessation Behaviors Among Individuals With Current or Past Major Depressive Disorder Enrolled in a Smoking Cessation Trial.

INTRODUCTION: Smoking among adults with major depressive disorder (MDD) is at least double that of the general US population. More effective smoking cessation interventions for depressed smokers may be facilitated through a better understanding of the smoking and depression-related characteristics of this population. METHODS: We used baseline data from 300 participants enrolled in randomized clinical trial for smokers with current or past MDD. We described history of smoking cessation behaviors (ie, quit attempts, quit motivation, and cessation treatment utilization) and used multivariate regression to identify demographic and depression-related correlates of these behaviors. RESULTS: Sixty-eight percent of participants reported at least one quit attempt in the past year, nearly 51% reported motivation to quit in the subsequent 30 days, and 83% reported prior use of a nicotine replacement therapy. A greater readiness to quit smoking was associated with increased age (p = .04) and lower cigarettes per day (p = .01). Greater use of smoking cessation medication was associated with greater education and nicotine dependence, minority race, and greater use of complementary reinforcers (eg, activities associated with increased reinforcing value of smoking; p's < .05). CONCLUSIONS: These data indicate that smokers with current or past MDD are highly motivated to quit smoking and have a history of engaging in efforts to quit. Interventions to promote smoking cessation behaviors should address younger and lighter smokers, who may perceive less risk from tobacco use, and efforts to promote smoking cessation medications and counseling should address minority smokers who are engaging in complementary reinforcers. IMPLICATIONS: These data are inconsistent with the assumption that smokers with serious mental illness are not willing to quit smoking and suggest the need for studies that test behavioral interventions that address complementary reinforcers to treat tobacco use in this community.

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.

Rationale and design of a randomized factorial clinical trial of pharmacogenetic and adherence optimization strategies to promote tobacco cessation among persons with HIV.

BACKGROUND: Tobacco use is approximately three times more common in people living with HIV (PLWH) than the general population. Moreover, current behavioral and pharmacological smoking cessation interventions are less effective for PLWH, highlighting a need for novel ways to optimize tobacco cessation treatments in this group. Prior research indicates that personalized treatment based on the nicotine metabolite ratio (NMR), a biomarker of nicotine metabolism, and augmenting smoking cessation medication adherence may improve cessation treatment for PLWH. METHODS: In this 2 × 2 factorial design trial, 488 smokers with HIV receive 12 weeks of smoking cessation medication along with randomization to 1) tailor the smoking cessation drug to their metabolism or not, and 2) provide additional counseling on smoking cessation medication adherence or not. Those randomized to the pharmacogenetic optimization arm receive varenicline or the nicotine patch based on their NMR (varenicline for fast metabolizers and the nicotine patch for slow metabolizers) and those in the control arm receive varenicline. Those randomized to the experimental adherence counseling arm receive Managed Problem Solving (MAPS) targeting their smoking cessation medication and those in the control arm receive standard counseling. CONCLUSION: PLWH on suppressive antiretroviral therapy who smoke lose more life-years due to tobacco use than to their HIV infection, and have lower response rates to current evidence-based treatments for smoking cessation. Both the NMR tailoring and MAPS interventions have the potential to optimize treatments for tobacco use among this population. If effective, this trial may demonstrate ways to further improve long-term health outcomes for PLWH.

Comparing the Rate of Nicotine Metabolism Among Smokers With Current or Past Major Depressive Disorder.

BACKGROUND AND OBJECTIVES: Persons with current or past major depressive disorder (MDD) vs those without have higher smoking rates. The nicotine metabolite ratio (NMR) represents variation in the rate of nicotine metabolism and has been associated with smoking behaviors and response to tobacco treatments. We compared NMR between smokers with current or past MDD (MDD+) vs smokers without MDD (MDD-). We also assessed correlates of NMR and compared withdrawal and craving between MDD+ and MDD- smokers. METHODS: Using baseline data from two clinical trials and propensity score weighting based on sex, race, body mass index, and smoking rate, we compared NMR between MDD+ (N = 279) and MDD- (N = 1575) smokers. We also compared groups on and nicotine withdrawal and craving. RESULTS: Mean NMR (ß = -.02, 95% confidence interval [CI]: -0.05 to 0.01, P = .13) and the distribution of smokers across NMR quartiles (odds ratio [OR] = 0.76, 95% CI: 0.50 to 1.16, P = .21) were similar between MDD+ and MDD- samples. This relationship was not affected by antidepressant medication. In the MDD+ sample, African Americans had significantly lower mean NMR, while older smokers and smokers with lower education had higher mean NMR (Ps < .05). MDD+ smokers had significantly higher withdrawal and craving than MDD- smokers (Ps < .05). DISCUSSION AND CONCLUSIONS: While variability in NMR may not explain differences in smoking rates between MDD+ and MDD- smokers, MDD+ smokers report increased withdrawal and craving. SCIENTIFIC SIGNIFICANCE: In this first study to assess NMR among MDD+ smokers, the findings underscore the need to address withdrawal and craving within smoking cessation treatments for those with MDD. (Am J Addict 2021;00:00-00).

Medication adherence and rate of nicotine metabolism are associated with response to treatment with varenicline among smokers with HIV.

INTRODUCTION: PLWHA who smoke have shown lower cessation rates within placebo-controlled randomized trials of varenicline. Adherence and rate of nicotine metabolism may be associated with quit rates in such clinical trials. METHODS: This secondary analysis of a randomized placebo-controlled trial of varenicline for smoking among PLWHA (N = 179) examined the relationship between varenicline adherence (pill count, ≥80% of pills), nicotine metabolism (based on the nicotine metabolite ratio; NMR) and end-of-treatment smoking cessation (self-reported 7-day point prevalence abstinence, confirmed with carbon monoxide of ≤ 8 ppm, at the end of treatment; EOT). RESULTS: Combining varenicline and placebo arms, greater adherence (OR = 1.011, 95% CI:1.00-1.02, p = 0.051) and faster nicotine metabolism (OR = 3.08, 95% CI:1.01-9.37, p = 0.047) were related to higher quit rates. In separate models, adherence (OR = 1.009, 95% CI:1.004-1.01, p < 0.001) and nicotine metabolism rate (OR = 2.04, 95% CI:1.19-3.49, p = 0.009) interacted with treatment arm to effect quit rates. The quit rate for varenicline vs. placebo was higher for both non-adherent (19% vs. 5%; χ2[1] = 2.80, p = 0.09) and adherent (35% vs. 15%; χ2[1] = 6.51, p = 0.01) participants, but the difference between treatment arms was statistically significant only for adherent participants. Likewise, among slow metabolizers (NMR < 0.31), the varenicline quit rate was not significantly higher vs. placebo (14% vs. 5%; χ2[1] = 1.17, p = 0.28) but, among fast metabolizers (NMR ≥ 0.31), the quit rate for varenicline was significantly higher vs. placebo (33% vs. 14%; χ2[1] = 4.43, p = 0.04). CONCLUSIONS: Increasing varenicline adherence and ensuring that fast nicotine metabolizers receive varenicline may increase quit rates for PLWHA.

Rate and correlates of tobacco treatment during a primary care visit for a largely urban and African American sample of smokers.

Introduction: Evidence-based treatments for tobacco use are under-utilized and primary care visits may be an opportune time to address this gap. This study examined the rate at which primary care visits included tobacco use treatment and examined patient demographics, smoking characteristics, attitudes about tobacco use treatments, and comorbidities as correlates of treatment provision. Methods: This prospective study assessed demographics, smoking characteristics, attitudes about tobacco use treatments, and comorbidities via interview prior to a primary care visit among 105 patients. One week following the appointment, 85 patients were reassessed for the tobacco use treatments they received during their appointment (i.e., asked about their tobacco use, advised to quit, and provided with a referral to a tobacco use treatment program or an FDA-approved tobacco use medication). Results: 93% of patients were asked about their tobacco use, 74% were advised to quit, 37% were provided with a referral for tobacco use treatment, and 27% received an FDA-approved medication (16% NRT, 11% varenicline or bupropion). Patients with higher quit motivation and who endorsed that medications can reduce cravings were more likely to report receiving tobacco use medication. Patients with a self-reported substance abuse history were less likely to report receiving tobacco use medications. Conclusions: The provision of tobacco use medications within primary care remains low. Strategies to increase patient quit motivation and help patients understand that tobacco use medications can mitigate cravings may increase use. Strategies may also be needed to ensure that patients with comorbid substance abuse still receive tobacco use treatments.

Assessing barriers to providing tobacco use disorder treatment in community mental health settings with a revised version of the Smoking Knowledge, Attitudes, and Practices (S-KAP) instrument.

BACKGROUND: Tobacco use disorder (TUD) rates are 2-3 times higher among people with serious mental illness (SMI) than the general population. Clinicians working in outpatient community mental health clinics are well positioned to provide TUD treatment to this group, but rates of treatment provision are very low. Understanding factors associated with the provision of TUD treatment by mental health clinicians is a priority. METHODS: This study used baseline data from an ongoing cluster-randomized clinical trial evaluating two approaches to training clinicians to increase TUD treatment. Following a psychometric assessment of our assessment tool, the Smoking Knowledge, Attitudes, and Practices (S-KAP) instrument, a new factor structure was evaluated utilizing confirmatory factor analysis. Structural equation modeling was then used to examine the associations between TUD treatment practices and clinician, setting, and patient characteristics in a sample of 182 mental health clinicians across 10 mental health clinics. RESULTS: Clinician but not setting or patient characteristics emerged as significant correlates of providing TUD treatment. Specifically, clinicians' general ethical commitment to providing TUD services and perceptions of their skills in providing this type of care were associated with providing TUD treatment. In contrast, clinician perceptions of patient motivation, anticipated quit rates, or available setting resources were not significantly associated with providing TUD treatment. CONCLUSIONS: Enhancing community mental health clinician TUD treatment skills and commitment to providing such services may reduce TUD rates among people with SMI. Future studies should evaluate interventions that target these factors.

Correlates of varenicline adherence among smokers with HIV and its association with smoking cessation.

INTRODUCTION: With medical advances, the life expectancy of people living with HIV/AIDS (PLWHA) has improved; however, tobacco use remains a prominent risk for mortality. Although studies have examined the efficacy of varenicline for treating smoking among PLWHA, the relationship between varenicline adherence and cessation and correlates of varenicline adherence remain under-studied. METHODS: We conducted secondary analyses from a randomized placebo-controlled trial of varenicline for smoking among PLWHA, using data from participants who received varenicline (N = 89). The relationship between varenicline adherence (based on pill count) and end-of-treatment smoking cessation was assessed, as were correlates of varenicline adherence. RESULTS: Those who were abstinent took an average of 137.1 pills (SD = 39.3), or 83% of pills prescribed, vs. 105.3 pills (SD = 64.1), or 64%, for those who were smoking (OR = 1.01, 95% CI: 1.001-1.021, p = 0.03); 52/89 (58%) participants were adherent based on taking ≥80% of pills. The quit rate for adherent participants was 35% (18/52) vs. 19% (7/37) for non-adherent participants. Adherent participants were older, smoked fewer cigarettes each day, started smoking at an older age, and had lower baseline creatinine vs. non-adherent participants (p < 0.05). There was a significant time-by-group interaction effect for anxiety (F[1,72] = 6.24, p = 0.02), depression (F[1,72] = 4.2, p = 0.04), and insomnia (F[1,72] = 7.73, p = 0.007), indicating that adherent participants had less depression, anxiety, and insomnia during the initial weeks of treatment, vs. non-adherent participants. CONCLUSIONS: Our findings underscore the importance of varenicline adherence for determining cessation and highlight the role of early changes in anxiety, depression, and insomnia determining varenicline adherence.