We suggest that foundation models are general purpose solutions similar to general purpose programmable microprocessors, where fine-tuning and prompt-engineering are analogous to coding for microprocessors. Evaluating general purpose solutions is not like hypothesis testing. We want to know how well the machine will perform on an unknown program with unknown inputs for unknown users with unknown budgets and unknown utility functions. This paper is based on an invited talk by John Mashey, “Lessons from SPEC,” at an ACL-2021 workshop on benchmarking. Mashey started by describing Standard Performance Evaluation Corporation (SPEC), a benchmark that has had more impact than benchmarks in our field because SPEC addresses an import commercial question: which CPU should I buy? In addition, SPEC can be interpreted to show that CPUs are 50,000 faster than they were 40 years ago. It is remarkable that we can make such statements without specifying the program, users, task, dataset, etc. It would be desirable to make quantitative statements about improvements of general purpose foundation models over years/decades without specifying tasks, datasets, use cases, etc.

Retrieval-augmented generation (RAG) adds a simple but powerful feature to chatbots, the ability to upload files just-in-time. Chatbots are trained on large quantities of public data. The ability to upload files just-in-time makes it possible to reduce hallucinations by filling in gaps in the knowledge base that go beyond the public training data such as private data and recent events. For example, in a customer service scenario, with RAG, we can upload your private bill and then the bot can discuss questions about your bill as opposed to generic FAQ questions about bills in general. This tutorial will show how to upload files and generate responses to prompts; see https://github.com/kwchurch/RAG for multiple solutions based on tools from OpenAI, LangChain, HuggingFace transformers and VecML.

Large language models (LLMs) have achieved amazing successes. They have done well on standardized tests in medicine and the law. That said, the bar has been raised so high that it could take decades to make good on expectations. To buy time for this long-term research program, the field needs to identify some good short-term applications for smooth-talking machines that are more fluent than trustworthy.

Our last emerging trend article introduced Risks 1.0 (fairness and bias) and Risks 2.0 (addictive, dangerous, deadly, and insanely profitable). This article introduces Risks 3.0 (spyware and cyber weapons). Risks 3.0 are less profitable, but more destructive. We will summarize two recent books, Pegasus: How a Spy in Your Pocket Threatens the End of Privacy, Dignity, and Democracy and This is How They Tell Me the World Ends: The Cyberweapons Arms Race. The first book starts with a leak of 50,000 phone numbers, targeted by spyware named Pegasus. Pegasus uses a zero-click exploit to obtain root access to your phone, taking control of the microphone, camera, GPS, text messages, etc. The list of 50,000 numbers includes journalists, politicians, and academics, as well as their friends and family. Some of these people have been murdered. The second book describes the history of cyber weapons such as Stuxnet, which is described as crossing the Rubicon. In the short term, it sets back Iran’s nuclear program for less than the cost of conventional weapons, but it did not take long for Iran to build the fourth-biggest cyber army in the world. As spyware continues to proliferate, we envision a future dystopia where everyone spies on everyone. Nothing will be safe from hacking: not your identity, or your secrets, or your passwords, or your bank accounts. When the endpoints (phones) have been compromised, technologies such as end-to-end encryption and multi-factor authentication offer a false sense of security; encryption and authentication are as pointless as closing the proverbial barn door after the fact. To address Risks 3.0, journalists are using the tools of their trade to raise awareness in the court of public opinion. We should do what we can to support them. This paper is a small step in that direction.

Objective. The efficacy of individualized, community-based physical activity as an adjunctive smoking cessation treatment to enhance long-term smoking cessation rates was evaluated for the Lifestyle Enhancement Program (LEAP). Methods. The study was a two-arm, parallel-group, randomized controlled trial. All participants (n = 392) received cessation counseling and a nicotine patch and were randomized to physical activity (n = 199; YMCA membership and personalized exercise programming from a health coach) or an equal contact frequency wellness curriculum (n = 193). Physical activity treatment was individualized and flexible (with each participant selecting types of activities and intensity levels and being encouraged to exercise at the YMCA and at home, as well as to use “lifestyle” activity). The primary outcome (biochemically verified prolonged abstinence at 7-weeks (end of treatment) and 6- and 12-months postcessation) and secondary outcomes (7-day point prevalent tobacco abstinence (PPA), total minutes per week of leisure time physical activity and strength training) were assessed at baseline, 7 weeks, 6 months, and 12 months. Results. Prolonged abstinence in the physical activity and wellness groups was 19.6% and 25.4%, respectively, at 7-weeks, 15.1% and 16.6% at 6-months, and 14.1% and 17.1% at 12 months (all between-group P values >0.18). Similarly, PPA rates did not differ significantly between groups at any follow-up. Change from baseline leisure-time activity plus strength training increased significantly in the physical activity group at 7 weeks (P = 0.04). Across treatment groups, an increase in the number of minutes per week in strength training from baseline to 7 weeks predicted prolonged abstinence at 12 months (P ≤ 0.001). Further analyses revealed that social support, fewer years smoked, and less temptation to smoke were associated with prolonged abstinence over 12 months in both groups. Conclusions. Community-based physical activity programming, delivered as adjunctive treatment with behavioral/pharmacological cessation treatment, did not improve long-term quit rates compared to adjunctive wellness counseling plus behavioral/pharmacological cessation treatment. This trial is registered with https://beta.clinicaltrials.gov/study/NCT00403312, registration no. NCT00403312.

Introduction. The use of e-cigarettes has been increasing globally especially among the youth population due to rigorous advertisement, marketing, and promotion which has become a significant public health concern. Hence, this study is aimed at identifying the prevalence, correlates, and perception of e-cigarettes among undergraduate students of Kathmandu city. Methods. A cross-sectional study was conducted among 405 undergraduates of capital city of Nepal from April 2022 to December 2022. A two-stage systematic random sampling was used to select the respondents. An anonymous, semistructured, self-administered questionnaire was used for data collection. A descriptive, bivariable, and multivariable analysis was done using SPSS version 20. Results. The prevalence of ever use and current use of e-cigarettes was 21.2% and 5.9%, respectively. Number of close friends (AOR = 5.23, CI: 1.26, 16.39), number of friends using e-cigarettes (AOR = 7.23, CI: 0.93, 22.82), male sex (AOR = 2.88, CI: 2.15, 10.35), and age (COR = 5.07, CI: 0.93, 8.19) were the major predictors of current e-cigarette usage. Similarly, number of friends using e-cigarettes (AOR = 5.90, CI: 2.15, 10.35), male sex (AOR = 3.53, CI: 2.15, 10.35), age (COR = 4.56, CI: 0.98, 6.24), and place of residence (COR: 5.19, CI: 0.83, 8.02) were the major predictors of ever e-cigarette usage. The prevalence of e-cigarette consumption was higher in males than females (5.4% vs. 0.5%). Approximately, 34.8% respondents had perceived e-cigarettes as a means to help in smoking cessation. 56.5% adults knew that e-cigarettes promoted conventional smoking. Majority (64.7%) of the undergraduate students had presumed e-cigarettes as less harmful to conventional smoking. Conclusion. Ever use, current use, and misconception on e-cigarettes were widespread among the undergraduate students. Age, male sex, number of close friends, number of peers using e-cigarette, and place of residence were the major predictors for e-cigarette usage. To deal with the increased e-cigarette consumption state, awareness on the harmful addictive properties of e-cigarettes along with its adverse health consequences must be propagated and an appropriate intervention must be implemented.

Introduction. People with mental health conditions (MHCs) are less likely to achieve long-term abstinence than people without MHCs. The Quit and Stay Quit Monday (QSQM) model offers a long-term approach to treating tobacco use by encouraging people to quit, requit, or recommit to quit smoking every Monday. Aim. To evaluate the efficacy, patient satisfaction, and patient engagement with an intervention that integrated the QSQM model into multicomponent smoking cessation services among people with an MHC. Methods. This was a randomized controlled pilot trial. Eligibility criteria were as follows: (1) ≥18 years old, (2) smoked a cigarette in the past 30 days, (3) diagnosis of an ICD-10 MHC, (4) interest in quitting smoking, (5) able to receive services in English, and (5) had an active email and a cell phone. The intervention group (n = 33) received QSQM-focused telephone coaching, a weekly QSQM email newsletter, a SmokefreeTXT anchored around a Monday quit date, and 4 weeks of nicotine replacement therapy (NRT). The control group (n = 36) received information about contacting their state Quitline for usual services. Primary outcomes were self-reported quit attempts, 7-day abstinence, and intervention satisfaction at 3 months. Results. Twenty-four participants (73%) in the intervention group began telephone coaching, 26 (79%) enrolled in the QSQM email newsletter, 19 (58%) enrolled in SmokefreeTXT, and 15 (46%) used NRT. Using a penalized intent-to-treat approach, quit attempts in the intervention and control groups were 63.6% and 38.9% (OR 2.75, 95% CI 1.03-7.30), respectively. Seven-day abstinence in the two groups was 12.1% and 5.6% (OR 2.35, 95% CI 0.40-13.74), respectively. Of the 15 intervention group participants who set a quit date during the intervention, 13 (86.7%) selected a Monday quit day. Qualitative interviews revealed positive participant experiences with picking a Monday quit day. On follow-up surveys, 89.5%, 69.3%, and 64.3% of intervention participants reported that the counseling, QSQM email, and text messaging, respectively, were very or somewhat helpful. Conclusions. The QSQM model was acceptable and potentially efficacious among people with MHCs, but intervention engagement and satisfaction were modest. Future research should adapt or develop new QSQM delivery approaches to improve patient engagement and potential efficacy of the model. This trial is registered with clinicaltrials.gov (NCT04512248).

Although medical events in lung cancer screening (LCS) such as receiving scan results or interactions with clinicians are recognised as teachable moments (TMs), the views of patients about why this is the case for smoking behaviour change remain uncertain. This systematic review and metasynthesis study is aimed at identifying the reasons why patients believed that medical events during LCS act as TMs for smoking behaviour change. A search strategy was developed for use with MEDLINE, PsycINFO, EMBASE, CINAHL-P, Web of Science databases, and Google Scholar. This helped identify qualitative and mixed-method research which mentioned patients’ views of how these TMs result in smoking behaviour change. After screening, final articles were critically appraised; general characteristics and data relevant to the aims were extracted to conduct a line-of-argument metasynthesis. After screening 695 papers, 11 were included. Undergoing LCS scans was seen to act on their intrinsic motivation to reduce smoking as it served as a “wake-up call” and increased awareness of the health consequences of smoking. Receiving positive or negative LCS results resulted in cessation as it was a “health scare” and challenged smoking habits. Interactions with clinicians addressed misconceptions and signposted them to specialist cessation services. Attendees believed that the following encouraged them to change their smoking behaviour: having an intrinsic motivation to quit, their beliefs on smoking and health reframed, their negative emotions appraised, and using LCS to access specialist support. In line with the TM heuristic, these experiences provided the necessary skills, confidence, and motivation to quit. Future research should explore whether the views of the clinicians match those of the attendees to address misconceptions and further develop clinical guidelines.

Aim. To identify, integrate, and appraise the evidence on hospitalised smokers’ and staff perspectives of inpatient smoking cessation interventions and the impact on smokers’ quality of life. Design. The integrative review method was used to present hospitalised smokers’ and staff perspectives of inpatient smoking cessation interventions. Search Method. This integrative review consisted of a comprehensive search on smoking cessation interventions that take place during an inpatient admission to hospital for adults (> age 18 years) of the following online databases: Ovid Medline, Joanna Briggs Institute, APA PsycInfo, CINAHL, Cochrane, Google Scholar, PEDro, and Scopus. The search strategy was inclusive of peer-reviewed studies limited to the English language or translated to English. A search of grey literature and manual searching of reference lists was also conducted to identify further studies not identified in the online database search. All studies that produced any qualitative data (i.e., qualitative, mixed methods, and surveys) on inpatient-initiated smoking cessation programs were included. Outcomes of interest are included but were not limited to education, counselling, and the use of pharmacotherapy. Studies undertaken in the psychiatric, adolescent, and paediatric settings were excluded. Results. The key findings from this integrative review included positive evaluations from both patients and staff involved in inpatient smoking cessation interventions, reporting that hospitalisation was an appropriate opportunity to address smoking cessation. A number of facilitators and barriers to inpatient smoking cessation interventions included creating a supportive patient-centred environment and consideration of the cost of nicotine replacement therapy and time to deliver inpatient smoking cessation interventions. Recommendations/preferences for future inpatient smoking cessation interventions included the use of a program champion and ongoing education to demonstrate the effectiveness of the intervention, and despite the cost of nicotine replacement therapy being identified as a potential barrier, it was identified as a preference for most patients. Although quality of life was only evaluated in two studies, statistically significant improvements were identified in both. Conclusion. This qualitative integrative review provides further insight into both clinician and patient participants’ perspectives on inpatient smoking cessation interventions. Overall, they are seen to produce positive benefits, and staff training appears to be an effective means for service delivery. However, insufficient time and lack of resources or expertise appear to be consistent barriers to the delivery of these services, so they should be considered when planning the implementation of an inpatient smoking cessation intervention.

Tobacco users are exposed to a higher risk of noncommunicable diseases, leading to premature mortality and disability-adjusted life years (DALYs). The future prediction indicates that tobacco-related mortality and morbidity rates will substantially increase in coming years. The study is aimed at assessing the prevalence of tobacco consumption and cessation attempts for different tobacco products among adult men in India. The study utilized information from India’s latest National Family Health Survey-5 (NFHS-5) data which was conducted during 2019-21, including 988,713 adult men aged 15 years and above and 93,144 men aged 15-49. Results suggest that 38 percent of men consume tobacco, including 29% in urban and 43% in rural areas. Among the men aged 35-49 years, the odds were significantly higher for consuming any form of tobacco (AOR: 7.36, CI: 6.72-8.05), smoking cigarettes (AOR: 2.56, CI: 2.23-2.94), and smoking bidi (AOR: 7.12, CI: 4.75-8.82) as compared to those aged 15-19. The application of multilevel model indicates that tobacco usages are not evenly distributed. In addition, there is maximum clustering of tobacco usages found around household level factors. Further, 30% of men aged 35-49 years attempted to stop consuming tobacco. Though 27% of men tried to quit tobacco in the last 12 months and 69% of men are exposed to secondhand smoke, 51% of men who received advice for quitting tobacco and visited the hospital in the last 12 months belong to the lowest wealth quintile. These findings prioritize promoting awareness about adverse effects of tobacco use, especially in rural areas, and capacitate them to adopt cessation efforts so that those who want to quit may be successful in their efforts. In addition, the health system’s response to the tobacco epidemic in the country should be strengthened by training of service providers to promote cessation efforts through appropriate counselling of all the patients visiting them in the context of tobacco use in any form as key drivers of the increasing burden of noncommunicable diseases (NCDs) in the country.

Background. Primary care providers play a key role in screening for tobacco use and assessing desire to quit. Tobacco treatment specialists (TTS) are certified in helping patients who desire tobacco cessation. A primary care nurse practitioner within one Midwestern healthcare organization obtained TTS certification and integrated specialized tobacco cessation visits within a primary care clinic from February 2021 to February 2022. Purpose. To determine the efficiency and effectiveness of an integrated TTS-certified nurse practitioner (TTS-NP) in a primary care setting 1-year postimplementation. Method. This program evaluation utilized retrospective electronic health record review and included thirty-three patients. The logic model served as a framework to define efficiency and effectiveness. Results. Patients were referred by a provider (57.6%), nurse (15.2%), or self (27.3). Patients opted for in-person initial visits (81.8%) more than virtual (18.2%). Of a total of 73 scheduled visits, 8 (11%) were no-showed. Patients who self-referred had the lowest no-show rate (5.6%) compared to those referred by a provider (12.8%) or nurse (12.5%). Of the patients included, 87.9% set a goal quit date. Average time until first and second follow-up was 34.6 and 130.4 days after goal quit date. Follow-up was defined as the date of the patient’s first message reply to the TTS-NP, or first visit following the goal quit date. A total of 51.9% (n = 14) and 63% (n = 17) reported cessation at the first and second follow-up. TTS-NP visit’s cost, independent of any other coverage, was less than other specialty visits in primary care. Conclusion. TTS-NP visits in primary care enabled patients to benefit from lower cost and longitudinal follow-up within a familiar setting. Over half of patients achieved cessation. Results of this program evaluation suggest support for TTS-certified providers in primary care.

Deep nets are becoming larger and larger in practice, with no respect for (non)-factors that ought to limit growth including the so-called curse of dimensionality (CoD). Donoho suggested that dimensionality can be a blessing as well as a curse. Current practice in industry is well ahead of theory, but there are some recent theoretical results from Weinan E’s group suggesting that errors may be independent of dimensions $d$. Current practice suggests an even stronger conjecture: deep nets are not merely immune to CoD, but actually, deep nets thrive on scale.

This paper describes gft (general fine-tuning), a little language for deep nets, introduced at an ACL-2022 tutorial. gft makes deep nets accessible to a broad audience including non-programmers. It is standard practice in many fields to use statistics packages such as R. One should not need to know how to program in order to fit a regression or classification model and to use the model to make predictions for novel inputs. With gft, fine-tuning and inference are similar to fit and predict in regression and classification. gft demystifies deep nets; no one would suggest that regression-like methods are “intelligent.”

Many papers are chasing state-of-the-art (SOTA) numbers, and more will do so in the future. SOTA-chasing comes with many costs. SOTA-chasing squeezes out more promising opportunities such as coopetition and interdisciplinary collaboration. In addition, there is a risk that too much SOTA-chasing could lead to claims of superhuman performance, unrealistic expectations, and the next AI winter. Two root causes for SOTA-chasing will be discussed: (1) lack of leadership and (2) iffy reviewing processes. SOTA-chasing may be similar to the replication crisis in the scientific literature. The replication crisis is yet another example, like evaluation, of over-confidence in accepted practices and the scientific method, even when such practices lead to absurd consequences.

Introduction. Tobacco use is a leading cause of cancer death among people living with HIV (PLWH) worldwide, and smoking prevalence tends to be higher among PLWH. The burden of both HIV/AIDS and tobacco use is increasingly concentrated in low- and middle-income countries (LMICs), where resources to address these challenges are often limited. However, there has been limited effort to date to integrate tobacco cessation into HIV programs in LMICs. Methods. We searched the literature (searching was conducted between October 1 and December 31, 2020) using PubMed including search terms “tobacco” and “HIV” and “cessation” over the past ten years (searching for articles published between December 1, 2010, and December 1, 2020) to identify original research studies on tobacco cessation interventions conducted in LMICs for PLWH. We also conducted an analysis of NCI-funded research grants on tobacco cessation and HIV awarded during fiscal years 2010 to 2020. Results and Discussion. Existing evidence suggests that conventional tobacco cessation treatments may be less effective among PLWH. Moreover, while substantial evidence exists to support a range of cessation interventions, most of this evidence comes from HICs and is only partly applicable to the evolving social, economic, and cultural climate of many LMICs. There is an urgent need to develop, adapt, and implement effective tobacco control and cessation interventions targeted to PLWH in LMICs, as well as to generate evidence from these settings. Implementation science provides tools develop and test strategies to overcome barriers and to integrate and scale up cessation services within existing HIV treatment settings. Conclusion. There is a unique opportunity to address HIV and tobacco use in a coordinated way in LMICs by integrating evidence-based tobacco cessation into HIV programs.

Introduction. Exercise interventions may assist smoking cessation attempts. One such publicly available 10-week program, Walk or Run to Quit (WRTQ), demonstrated success in smoking cessation and physical activity (PA) outcomes. However, initial WRTQ participants (2016-2017) were fairly homogenous in their demographic profile. To increase diversity, subsidies for participation were offered in 2018. This study assessed how the subsidies affected participant demographics, running frequency, smoking cessation, intention to quit, and program attendance and completion. Methods. The $70 registration fee was subsidized for 41% of participants in 2018. A pre-postdesign was used, with participants completing surveys on their demographics and smoking and physical activity behaviours. Descriptive statistics compared the year subsidies were available (2018) and unsubsidized years (2016-2017) and subsidized and unsubsidized participants’ data from 2018. Results. The 2018 participants had lower average attendance and program completion rates compared to 2016-2017 and no statistically significant differences in demographics or smoking cessation and PA outcomes. There were no differences in smoking cessation, run frequency, or demographic variables between the subsidized and unsubsidized participants in 2018. Conclusions. Offering subsidies did not diversify the participant profile. Subsidies did not have a negative impact on attendance nor primary outcomes. Subsidies may not have addressed barriers that prevented a more diverse sample from participating in WRTQ, such as program location, timing, and design. Equitable access to smoking cessation programs remains essential. As subsidies may play a role in reducing financial barriers disproportionately faced by marginalized groups, the implementation of, and recruitment for, such subsidized programs requires further investigation.

Background. Tobacco continues to be on the leading cause of avoidable death. Primary care practices are ideal locations to provide tobacco cessation visits. Tobacco treatment specialists are trained individuals with expertise in providing medication and counseling management to patients to help with tobacco cessation. Purpose. The purpose of this study was to examine the integration of a tobacco treatment specialist into the primary care setting and the perception of this role from the multidisciplinary team. Method. We conducted an electronic cross-sectional survey to evaluate awareness and perception of the integration of a tobacco treatment specialist into a primary care facility that is part of a large Midwestern tertiary healthcare center. The sample for this study included all the primary clinic staff that directly work with patients and included licensed practical nurses, registered nurses, physician assistants, certified nurse practitioners, and medical doctors. Results. 55% (n = 22) of staff had utilized the tobacco treatment specialist with direct patient care. Reasons for using the specialist was for referral for follow-up tobacco cessation visit (54%), curbside consultations (21%), medication management (21%), and other reasons (5%). The majority of staff strongly agreed that utilizing the TTS was valuable. Conclusion. This study reinforced the positive impact a tobacco treatment specialist can have being integrated into the primary care practice from the perception of the multidisciplinary team.

Globally, tobacco use (smoked, secondhand, and chewing) accounted for 8.71 million deaths, which is 15.4% of all deaths in 2019. Tobacco was ranked first among males and sixth among female in terms of level 2 risk factor for attributable deaths globally. The objective of this study was to identify the perception of cigarette graphic health warnings and their impact on smoking behavior in Nepal. A cross-sectional study using purposive sampling technique was done. Out of 169 respondents, 79.9% were male, 49.1% were illiterate, and 37.9% were above 60 years of age. Eighty-four percent had initiated smoking before the age of 20, and 39.6% had smoked cigarettes for more than 40 years. All the respondents had noticed the graphic health warning on cigarette packages. The majority (80.5%) of the respondents reported that the warning informs about specific health consequences of smoking, and the percentage of respondents believing that warning motivates smokers to quit smoking, encourages smokers to reduce the number of cigarettes smoked per day, and deters potential smokers from starting to smoke was 40.2%, 33.1%, and 30.8%, respectively. More than half of the respondents (50.9%) attempted to quit smoking because of the warning. The implementation of graphic health warnings had favorable perception from majority of smokers and positive impact on smoking behavior of the respondents. Further large-scale research on impact on smoking behavior through repeated cross-sectional studies can be future research priority.

Introduction. Clinical effort against secondhand smoke exposure (CEASE) is an evidence-based intervention that prepares child healthcare clinicians and staff with the knowledge, skills, and resources needed to ask family members about tobacco use, provide brief counseling and medication assistance, and refer to free cessation services. Aim. This study sought to identify factors that influenced the implementation of CEASE in five pediatric intervention practices in five states that participated in a cluster randomized clinical trial of the CEASE intervention. Methods. Guided by questions from the consolidated framework for implementation research (CFIR) interview guide, semistructured qualitative interviews were conducted with 11 clinicians and practice staff from five intervention practices after the practices had implemented CEASE for two years. Interviews were conducted by a trained qualitative researcher, recorded with permission, and transcribed verbatim. An interview codebook was inductively developed; two researchers used the codebook to code data. After coding, data was analyzed to identify factors, as described by the CFIR domains that influenced the implementation of CEASE. Results. The implementation of CEASE in practices was influenced by the adaptability and complexity of the intervention, the needs of patients and their families, the resources available to practices to support the implementation of CEASE, other competing priorities at the practices, the cultures of practices, and clinicians’ and office staffs’ knowledge and beliefs about family-centered tobacco control. Conclusion. Identifying and influencing certain critical factors guided by information gathered through interviews may help improve implementation and sustainability of family-centered tobacco control interventions in the future. Trial Registration: ClinicalTrials.gov Identifier: NCT01882348.

Introduction. While many individuals quit smoking during pregnancy, most relapse within one year postpartum. Research into methods to decrease smoking relapse postpartum has been hampered by difficulties with recruitment. Method. We conducted individual interviews with pregnant women (N = 22) who were interested in quitting smoking while pregnant about their attitudes regarding smoking and quitting during pregnancy, clinical trial participation, and smoking cessation medication use. Results. Participants were aware of the risks of smoking while pregnant. Many wanted to quit smoking before delivery. Few used empirically supported treatments to quit. While research was viewed positively, interest in taking on new commitments postpartum and taking a medication to prevent relapse was low. Medication concerns were evident among most participants, especially among those planning to breastfeed. Further, several women noted medication was unnecessary, as they did not believe they would relapse postpartum. Financial incentives, childcare, and fewer and/or remote visits were identified as facilitators to participating in research. However, these factors did not outweigh women’s concerns about medication use and time commitments. Conclusions. Women are aware that quitting smoking during pregnancy and remaining smoke-free postpartum are important. However, beliefs that personal relapse risk is low and that medications are dangerous reduced enthusiasm for taking medication for postpartum relapse prevention. Future medication trials should educate women about the high likelihood of relapse, prepare to answer detailed questions about risks of cessation medications, and connect with participants’ clinicians. For new mothers, studies conducted remotely with few scheduled appointments would reduce barriers to participation.