Smoking Cessation Care Research Articles

Overcoming Challenges to Treating Tobacco use During Pregnancy - A Qualitative study of Australian General Practitioners Barriers

BackgroundGeneral practitioners can play an important role in addressing smoking among pregnant women but studies suggest they rarely do so. The aim of this study was to explore general practitioners perceptions about the management of smoking in pregnancy, and what would enable them to provide better care.MethodsQualitative semi-structured interviews were conducted (Feb-July 2017), with 19 Australian general practitioners recruited from a sample that participated in a national survey on managing smoking during pregnancy; and through a national conference. The interview guide was structured using the theoretical domains framework, exploring previously reported barriers and two specific components of smoking cessation care - nicotine replacement therapy prescription and Quitline referral.ResultsParticipants reported high confidence and knowledge to provide pregnant patients adequate support for quitting. Nonetheless, participants reported lacking communication skills, focusing on providing information on smoking harm, accepting cutting down cigarettes as adequate, while following the ‘Stages of Change’ model and only providing treatment options to motivated patients. Lack of time, nicotine replacement therapy cost and safety concerns, and being unfamiliar with the Quitline (particularly for Aboriginal and Torres Strait Islander pregnant smokers) were perceived as challenges. Participants reported needing better communication skills, clear detailed nicotine replacement therapy guidelines for special populations, and visual resources they could use to discuss treatment options with patients.ConclusionsDifficulty communicating with pregnant patients about smoking, using the ‘Stages of Change’ model to guide support provision and concerns regarding nicotine replacement therapy safety are barriers to providing cessation support to pregnant patients for general practitioners. Training on specific effective behaviour change techniques, clear guidance for nicotine replacement therapy use, and practical visual patient education tools may facilitate smoking cessation care provision to pregnant women.

Determinants of providing smoking cessation care in five groups of healthcare professionals: A cross-sectional comparison

Objective To investigate implementation of a tobacco dependence treatment guideline among five groups of healthcare professionals.Methods Data collected in The Netherlands (2016–2017) were compared among gynaecologists (N = 49), midwives (N = 68), respiratory nurses (N = 72), practice nurses (N = 84) and paediatricians (N = 38). Intentions to use the guideline, satisfaction with own implementation, and dosage delivered of quit-advice and assisting in quitting were predicted using linear regression analyses and regression tree analyses.Results Implementation of smoking cessation care (SCC) and barriers differed between the groups, with nurses reporting better implementation and fewer barriers. Main barriers were lacking training (gynecologists, pediatricians) and time (midwives). Regression tree analyses showed that self-efficacy and training interacted; participants with weaker self-efficacy provided more quit advice if they had participated in SCC training. Training was positively related to intentions to use the guideline, satisfaction, providing quit-advice, and assisting smokers in quitting.Conclusion Implementation of SCC is suboptimal, such that patients who smoke do not receive the highest quality of care. Profession and training in SCC are important determinants of implementation of SCC.Practice implications Efforts to improve implementation should be targeted at profession. Training is indicated, and may focus on skills for nurses, and knowledge for gynecologists, midwives and pediatricians.

Optimizing smoking cessation guideline implementation using text-messages and summary-sheets: A mixed-method evaluation

ObjectivesImplementation of smoking cessation care (SCC) guidelines is suboptimal. This mixed-method study evaluated a two-component implementation strategy for the revised Dutch multidisciplinary tobacco dependence treatment guideline, which consisted of the provision of text-messages and summary-sheets tailored to specific healthcare professional (HCP) groups, i.e., gynecologists, midwives, pediatricians, practice nurses and respiratory nurses. DesignObservational study with baseline (T1), intermediate (2-months, T2) and follow-up (8-months, T3) survey measurements, and interviews between T2 and T3. MethodData were collected December 2016–January 2018. Three hundred-ten, 228, and 174 HCPs completed T1, T1/T2, and T1/T2/T3, respectively, and 32 HCPs were interviewed. We examined reach, feasibility and acceptability of the implementation strategy; whether baseline factors related to HCP’s strategy evaluation; change in implementation outcomes over time (i.e., knowledge, intentions to use the guideline, satisfaction with own SCC delivery, and provision of quit-advice); and whether baseline factors related to change in implementation outcomes. ResultsText-messages had good reach, and text-messages and summary-sheets were evaluated positively on feasibility and acceptability. Results showed improvements over time in tested knowledge (assessed through false/true statements) and self-reported knowledge about SCC, as well as satisfaction with own SCC delivery. Provision of quit advice showed an improvement among pediatricians only. Improvements in knowledge were stronger among non-smoking HCPs, and HCPs with lower skills and self-efficacy at baseline. ConclusionsGuideline implementation often does not occur spontaneously. Guideline implementation may be facilitated by providing text-messages and summary-sheets to HCPs. Text-messages may be more beneficial if tailored to the individual HCP.

Nurses Attitude and Self-Efficacy in Smoking Cessation Care to Hospitalized Patients

Today tobacco is the common form used for smoking. Worldwide, tobacco consumption is estimated to kill 1,000 million in the 21st century. Persons with mental illness consume about 33% of the tobacco used and nearly 46 million adults with mental illness have a smoking rate 70 percent higher than those without.

A Machine-Learning Approach to Predicting Smoking Cessation Treatment Outcomes.

Most cigarette smokers want to quit smoking and more than half make an attempt every year, but less than 10% remain abstinent for at least 6 months. Evidence-based tobacco use treatment improves the likelihood of quitting, but more than two-thirds of individuals relapse when provided even the most robust treatments. Identifying for whom treatment is effective will improve the success of our treatments and perhaps identify strategies for improving current approaches. Two cohorts (training: N = 90, validation: N = 71) of cigarette smokers enrolled in group cognitive-behavioral therapy (CBT). Generalized estimating equations were used to identify baseline predictors of outcome, as defined by breath carbon monoxide and urine cotinine. Significant measures were entered as candidate variables to predict quit status. The resulting decision trees were used to predict cessation outcomes in a validation cohort. In the training cohort, the decision trees significantly improved on chance classification of smoking status following treatment and at 6-month follow-up. The first split of all decision trees, which was delay discounting, significantly improved on chance classification rates in both the training and validation cohort. Delay discounting emerged as the single best predictor of group CBT treatment response with an average baseline discount rate of ln(k) = -7.1, correctly predicting smoking status of 80% of participants at posttreatment and 81% of participants at follow-up. This study provides a first step toward personalized care for smoking cessation though future work is needed to identify individuals that are likely to be successful in treatments beyond group CBT. This study provides a first step toward personalized care for smoking cessation. Using a novel machine-learning approach, baseline measures of clinical and executive functioning are used to predict smoking cessation outcomes following group CBT. A decision point is recommended for the single best predictor of treatment outcomes, delay discounting, to inform future research or clinical practice in an effort to better allocate patients to treatments that are likely to work.

\u201cIt\u2019s on everyone\u2019s plate\u201d: a qualitative study into physicians\u2019 perceptions of responsibility for smoking cessation

BackgroundLittle research has investigated in-depth how physicians perceive their role in smoking cessation care. This qualitative study sought to understand physicians’ perceptions of responsibility for smoking cessation.MethodsData were collected through individual semi-structured interviews and focus group interviews between June and November 2017 in The Netherlands. We interviewed 5 addiction specialists, 5 anesthesiologist, 4 cardiologists, 8 GPs, 5 internists, 5 neurologists, 2 pediatricians, 6 pulmonologists, 7 surgeons, and 8 youth healthcare physicians (N = 55). Data analysis followed the framework approach.ResultsThe analysis showed that three actors were perceived as responsible for smoking cessation: physicians, patients, and the government. Participants perceived physicians as responsible for facilitating smoking cessation -albeit to different extents-, patients as carrying the ultimate responsibility for quitting smoking, and the government as responsible for creating a society in which smoking uptake is more difficult and quitting smoking easier. Perceptions of smoking itself were found to be important for how participants viewed responsibility for smoking cessation. It remained unclear for many participants which healthcare provider is responsible for smoking cessation care.ConclusionsThe organization of smoking cessation care within health systems should be a focus of intervention, to better define physician roles and perceptions of responsibility. In addition, it seems important to target perceptions of smoking itself on the level of physicians and –as suggested by comments by several participants- the government.

Financial IncEntives for Smoking TreAtment: protocol of the FIESTA trial and FIESTA Oral Microbiome Substudy

BackgroundSmoking is the leading preventable cause of death in the United States, but evidence-based smoking cessation therapy is underutilized. Financial incentive strategies represent an innovative approach for increasing the use of counseling and pharmacotherapy. If effective, they could supplement or supplant resource-intensive policy options, particularly in populations for whom smoking has substantial societal costs. FIESTA (Financial IncEntives for Smoking TreAtment) will randomize hospitalized smokers to receive usual smoking cessation care alone or usual smoking care augmented with financial incentives. We aim to compare the impact of these two strategies on 1) smoking abstinence, 2) use of counseling and nicotine replacement therapy, and 3) quality of life of participants. We also will evaluate the short-term and long-term return on the investment of incentives. The FIESTA Oral Microbiome Substudy will compare the oral microbiome of smokers and nonsmokers to longitudinally assess whether smoking cessation changes oral microbiome composition.MethodsWe will enroll 182 inpatient participants from the Manhattan campus of the Veterans Affairs New York Harbor Healthcare System. All participants receive enhanced usual care, including screening for tobacco use, counseling while hospitalized, access to nicotine replacement therapy, and referral to a state Quitline. Patients in the financial incentive arm receive enhanced usual care and up to $550 for participating in the New York Smoker’s Quitline, using nicotine replacement therapy (NRT), and achieving biochemically confirmed smoking cessation at 2 months and 6 months. In the microbiome substudy, we enroll nonsmoking control participants matched to each recruited smoker’s hospital ward, sex, age, diabetes status, and antibiotic use. After discharge, participants are asked to complete periodic phone interviews at 2 weeks, 2 months, 6 months, and 12 months and provide expired carbon monoxide and saliva samples at 2 months, 6 months, and 12 months for cotinine testing and oral microbiome analysis.DiscussionThe incentive interventions of FIESTA may benefit hospitalized smokers, an objective made all the more critical because smoking rates among hospitalized patients are higher than those in the general population. Moreover, the focus of FIESTA on evidence-based therapy and bioconfirmed smoking cessation can help guide policy efforts to reduce smoking-related healthcare costs in populations with high rates of tobacco use and costly illnesses.Trial registrationClinicalTrials.gov, NCT02506829. Registered on 1 July 2014.

Factors Affecting Smoking Cessation Success of Heavy Smokers Registered in the Intensive Care Smoking Cessation Camp (Data from the National Tobacco Control Center).

ObjectivesThe purpose of this study was to investigate the factors involved in the success of smoking cessation in heavy smokers enrolled in an intensive care smoking cessation camp program.MethodsHeavy smokers enrolled in the program were classified into a success (n = 69) or failure (n = 29) group, according to whether they maintained smoking cessation for 6 months after the end of the program. Demographics, smoking behaviors, and smoking cessation-related characteristics were analyzed.ResultsStatistically significantly more participants in the success group had a spouse (98.6%; p = 0.008) compared with participants in the failure group (82.8%). However, multivariate logistic regression analysis indicated that having a spouse was not an independent factor in smoking cessation (p = 0.349). A significant difference in the frequency of counseling between the success and failure groups was observed (p = 0.001), with 72.5% of those who received counseling on 3–5 occasions for 6 months after the end of program successfully quit smoking, indicating that those who received more counseling had a higher likelihood of smoking cessation success. This was confirmed as an independent factor by multivariate logistic regression (p < 0.005). Furthermore, a graduate school level of education or higher, indicated a statistically greater success rate compared to those that were less well educated (p = 0.043). This was also observed as a significant independent factor using multivariate logistic regression (p = 0.046).ConclusionEducation level, marital status, and the number of counseling sessions were significant factors contributing to smoking cessation success.

Feasibility and acceptability of Indigenous Counselling and Nicotine (ICAN) QUIT in Pregnancy multicomponent implementation intervention and study design for Australian Indigenous pregnant women: A pilot cluster randomised step-wedge trial

BackgroundMany health providers (HPs) lack knowledge, confidence, optimism and skills in addressing smoking with pregnant women. This study aimed to explore the feasibility and acceptability of a) a co-designed multi-component intervention for HPs at Aboriginal Medical Services (AMSs) in culturally-targeted pregnancy-specific smoking cessation care and b) the study design. MethodsUsing a randomised step-wedge cluster design, the Indigenous Counselling And Nicotine (ICAN) QUIT in Pregnancy Trial was evaluated across six AMSs in three Australian states. HPs were provided educational resource packages including live interactive webinars, treatment manuals, patient resources, carbon monoxide (CO) meters, and oral Nicotine Replacement Therapy (NRT). Feasibility was assessed through recruitment and retention rates of both pregnant women (12-weeks) and HPs (end of study) as well as the potential to improve women's quit rates. Qualitative interviews with staff post-trial explored acceptability of the intervention and study, based on capability, opportunity and motivation from the Behaviour Change Wheel. ResultsPregnant women (n = 22; 47% (95% CI: 32%, 63%) eligible) and HPs (n = 50; 54% (95% CI: 44%, 64%) eligible) were recruited over 6 months with retention rates of 77% (95% CI: 57%, 90%) and 40% (95% CI: 28%, 54%) respectively. Self-reported 12-week 7-day point-prevalence abstinence was 13.6% (n = 3) and validated abstinent with CO readings ≤6 ppm. Staff interviewed regarding intervention implementation highlighted the importance of provision and use of resources, including training materials, patient resources, CO meters and oral NRT. Resources helped increase capability and opportunity, restructure the environment, and provided social comparison and modelling. Staff were motivated by greater engagement with pregnant women and seeing the women's reductions in CO readings. Having the intervention at the AMSs improved organisational capacity to engage with pregnant women. Staff reported changes to their routine practice that were potentially sustainable. Recommendations for improvement to the implementation of the intervention and research included reducing training length and the tasks related to conducting the study. ConclusionICAN QUIT in Pregnancy was a pilot study with the ability to enrol Indigenous women. It was feasible to implement and acceptable to most staff of the AMSs in three states, with modifications recommended. Smoking in pregnancy is a key challenge for Indigenous health. The intervention needs to be evaluated through a methodologically rigorous fully-powered study to determine the efficacy of outcomes for women. Trial registrationAustralian and New Zealand Clinical Trials Registry, ACTRN12616001603404. Registered 21 November 2016 - retrospectively registered, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371778

Prospective study of provided smoking cessation care in an inpatient psychiatric setting

ObjectivePeople with mental health difficulties (MHD) are more likely to smoke and to have smoking-related diseases, yet little research has investigated the provision of smoking cessation care in psychiatric inpatient settings. This study aimed to evaluate current levels of cessation care provided, and 3-month quit-rates, in one such setting in Ireland. MethodsFrom January to October 2016, inpatients across all 8 adult wards of St Patrick's University Hospital were recruited to participate in a baseline face-to-face survey (N = 246), assessing demographic information, smoking history and quit attempts, motivation to quit, nicotine dependence, attitudes towards cessation advice and actual care received. For baseline current smokers (n = 84) who consented, casenotes were also audited for documentation of smoking status and cessation care (n = 77/84) while quit rates were assessed at three months (n = 72/84), including a carbon monoxide test for those who reported quitting. ResultsCurrent smoking prevalence was 34% (n = 84/246). At baseline 75% of smokers wanted to quit and 48% reported they would like cessation advice while in hospital. Few reported receiving cessation advice from any healthcare professional in the past year (13%), while just 6% had smoking cessation care clearly documented in their casenotes. The 3-month quit-rate was 17%, with a 100% pass rate for those completing an objective CO validation test. ConclusionDespite a high current smoking prevalence among psychiatric inpatients, and similar motivation and quit rates to other populations, current cessation care rates are low. Smoking cessation care needs to be prioritised in psychiatric settings.

Improving Health Outcomes for People With Cancer in Rural and Regional Areas by Embedding Evidence-Based Smoking-Cessation Strategies Into Usual Care: A Study Protocol

Background: Smoking following a diagnosis of cancer is a powerful clinical risk indicator, with known poorer health outcomes and associated health care costs. In Australia, smoking rates are higher in rural and regional areas. There are established and effective interventions to promote smoking cessation after a diagnosis of cancer yet these are not in routine practice. Aim: This protocol paper reports on a study that aims to embed evidence-based smoking cessation strategies for people with cancer who are current smokers into routine care, resulting in in system wide improvements, an implemented program and model for further dissemination. Methods: Across three rural/regional sites, and with partners Quit Victoria and Western Alliance, this study employs a variety of methodologies to embed smoking cessation support to improve outcomes for people with cancer who currently smoke. Specifically, the project will embed a system of responsibilities and training in rural and regional health services to routinely engage people with cancer who smoke in support services. The program will: · Promote routine delivery of smoking cessation care by trained oncology staff (oncologists/nurses/ allied health) · Establish referral pathways to Quitline · Correspond with general practitioners, to: i) outline the benefits of quitting in this context, ii) promote access to nicotine replacement therapy and iii) support quitting in the community. · Improve routine recording of smoking status and documentation of provision of brief intervention (personalised advice given, resources provided) and outcomes. Participants: are oncology staff and general practitioners across three health services: Ballarat Health Service, East Grampians Health Service (Ararat), Wimmera Health Care Group (Horsham), all located in Victoria, Australia. Data collection will occur across four sources: 1) Oncology staff: qualitative and quantitative data collection understanding confidence and views on provision on cessation advice; 2) Monitoring Quitline calls, 3) Interview with local general practitioners and 4) Medical record reviews to explore frequency of recording of smoking status. Data will be collected pre/postintervention. Results: The project is underway with the intervention manuals in development. The project is due for completion in 2020. Conclusion: This project takes a health services approach to integration of smoking cessation support in routine care for people with cancer in rural and regional areas. This program of work has capacity to determine best approaches to integrate smoking cessation into routine care, resulting in reduced mortality and morbidity, improved effectiveness of anticancer treatments, and reduced health care costs; by establishing internationally relevant, embedded health care interventions.

Integrating smoking cessation care in alcohol and other drug treatment settings using an organizational change intervention: a systematic review.

Organizational change interventions involve systems and cultural change within health-care services to make smoking cessation care delivery part of usual treatment. Six strategies for organizational change have been proposed. This study examined the evidence for organizational change interventions in the alcohol and other drug (AOD) setting on: (a) smoking cessation care; and (b) smoking cessation and cessation-related outcomes. A systematic review with narrative synthesis was conducted. MEDLINE, PsycINFO, CINAHL, EMBASE and Scopus were searched using keywords and MeSH terms from database inception to 1 June 2018. Interventions were assessed against the six organizational change strategies. Of the 5155 papers identified, 14 publications from seven unique studies were included. Most studies employed four or fewer organizational change strategies. The majority (n=11) were rated weak to moderate in methodological quality. Nine published papers, four unique studies, examined staff reported provision of smoking cessation care; eight reported an increase, one found no change. Three papers, two unique studies, examined client receipt of care; all found significant increases. Three papers, two unique studies, assessed staff smoking prevalence from pre- to post-intervention. Only one study reported a significant reduction in staff smoking prevalence (35.2 versus 21.8%, P=0.005). Nine papers, six unique studies, assessed client smoking cessation and smoking-related outcomes. Seven papers reported on client smoking prevalence; two found a significant decrease and five found no change to smoking. Four papers reported on number of cigarettes per day, three found a significant decrease and one found no change. Two papers reported on smoking cessation finding a 10% and a 25% seven-day point prevalence abstinence post-discharge from the AOD service. Organizational change interventions within health-care services to make smoking cessation care delivery part of usual treatment offer promise for increasing smoking cessation care and reducing smoking prevalence.

A systems change intervention for nurse-led smoking cessation care in hospitals

AimThe aim of this study was to determine the feasibility and acceptability of a systems change intervention on nurses’ inpatient management of tobacco dependence. MethodsA mixed methods study involving an uncontrolled pre and post study design and qualitative methods. The systems change intervention consisted of: tobacco use questions within the routine nursing care admission assessment forms; provision of nicotine replacement therapy (NRT) as a ‘nurse-initiated’ medication; and nurse education. A medical record audit was conducted 4 months before and 1 month after implementation to assess recording of: smoking status, offer of NRT and referral to a telephone tobacco cessation counselling service ‘Quitline’. Focus groups and semi-structured interviews were conducted to ascertain acceptability of the systems change intervention. Chi square analysis compared identification of inpatients’ who smoke and offer of NRT pre and post implementation. Constant comparative analysis was used to analyse qualitative data. FindingsNurse recording of inpatient smoking status (83% to 90%) did not significantly improve. However offer of nurse-initiated NRT significantly increased from 0% to 34% (p = 0.02). Acceptance of NRT increased from 50% to 64% (p = 0.055) and offer of referral to Quitline increased (0% to 4%) but increases were not significantly different. Three themes emerged from the qualitative data: Education for the nurses, nurse leadership and therapeutic alliance. ConclusionThe study results show promise as our intervention increased nurses’ offer of NRT for inpatients’ who smoked. New approaches need to be developed to support patients who do not want to or are not ready to quit.

Impact of Comorbidity on Symptoms and Quality of Life Among Patients Being Treated for Breast Cancer.

Cancer patients often have other noncancer medical conditions. Presence of comorbidities negatively affects cancer survival. The aim of this study was to investigate comorbidity, risk factors for comorbidity, and how comorbidity was associated with symptoms and quality of life in patients being treated for breast cancer. One hundred and one breast cancer chemotherapy outpatients completed this study. Comorbid conditions, weight, height, and smoking status were identified by chart review. Symptoms and quality of life were self-reported using psychometrically sound instruments. Log-linear regression analyses with age as the covariate examined impact of ethnicity, body mass index (BMI), and smoking on comorbidities. Approximately 84% of the participants had 1 or more comorbid conditions. Adjusting for age, number of comorbidities differed by BMI (P = .000); the obese group had significantly more comorbidities than the normal and overweight groups. The interaction between BMI and smoking was significant (P = .047). The obese participants who smoked had significantly more comorbidities compared with those who were obese but did not smoke (P = .001). More comorbid conditions were associated with greater pain (P < .05) and poorer sleep quality (P < .05). Comorbidity significantly correlated with symptoms and functional aspects of quality of life (P < .01 and P < .05, respectively). A greater number of comorbidities was associated with lower physical and role functioning and worse fatigue, dyspnea, appetite loss, and nausea and vomiting (all P < .05). Comorbidity exerts negative impacts on symptoms and quality of life. Weight and smoking status are strong determinants of breast cancer comorbidity. Personalized care planning, weight management, and smoking cessation may lead to better cancer outcomes.

Motivational interviewing in long-term sickness absence: study protocol of a randomized controlled trial followed by qualitative and economic studies

BackgroundMotivational interviewing (MI), mainly used and shown effective in health care (substance abuse, smoking cessation, increasing exercise and other life style changes), is a collaborative conversation (style) about change that could be useful for individuals having problems related to return to work (RTW). The aim of this paper is to describe the design of a randomized controlled trial evaluating the effect of MI on RTW among sick listed persons compared to usual care, in a social security setting.MethodsThe study is a randomized controlled trial with parallel group design. Individuals between 18 and 60 years who have been sick listed for more than 7 weeks, with a current sick leave status of 50–100%, are identified in the Norwegian National Social Security System and invited to participate in the study. Exclusion criteria are no employment and pregnancy. Included participants are randomly assigned to the MI intervention or one of two control groups. The MI intervention consists of two MI sessions offered by caseworkers at the Norwegian Labor and Welfare Service (NAV), while the comparative arms consist of a usual care group and a group that receives two extra sessions without MI content (to control for attentional bias). The primary outcome measure is the total number of sickness absence days during 12 months after inclusion, obtained from national registers. Secondary outcomes include time until full sustainable return to work, health-related quality of life and mental health status. In addition, a health economic evaluation, a feasibility/process evaluation and qualitative studies will be performed as part of the study.DiscussionA previous study has suggested an effect of MI on RTW for sick listed workers with musculoskeletal complaints. The present study will evaluate the effect of MI for all sick listed workers, regardless of diagnosis. The knowledge from this study will potentially be important for policy makers, clinicians and other professionals` practical work.Trial registrationClinicalTrials.gov: NCT03212118 (registered July 11, 2017).

National smoking cessation support and care education program in Hungary National Centre for Smoking Cessation Support, National Koranyi Institute for Pulmonology, Budapest, Hungary

National smoking cessation support and care education program in Hungary National Centre for Smoking Cessation Support, National Koranyi Institute for Pulmonology, Budapest, Hungary

Smoking Cessation Following Text Message Intervention in Pregnant Women.

Smoking during pregnancy has detrimental effects on mother and fetus. Text messaging has been utilized to improve patient care. To evaluate the impact of text messaging on smoking cessation rates among pregnant women in addition to standard of care (SOC) smoking cessation services. Our SOC includes pharmacist-driven education with or without nicotine patch or bupropion. This randomized, open-label, prospective trial was conducted at a maternal fetal care center from May 2014 to January 2016. Pregnant patients in the preparation stage of change were randomized to text messaging or SOC. The primary outcome was smoking cessation verified with exhaled carbon monoxide levels (eCO) 2 weeks from quit date. All received clinical pharmacist weekly calls for 3 weeks and biweekly visits until pharmacotherapy completion. The text messaging group also received predetermined motivational messages. Of 49 randomized patients, 13 withdrew, and 6 were lost to follow-up. The remaining included 14 texting and 16 SOC patients. eCO-verified cessation was achieved by 57.1% in the texting group versus 31.3% in the control ( P = 0.153). Overall, 64.3% of the texting group achieved an eCO below 8 ppm at ≥1 visit versus 37.5% in the control group ( P = 0.143). No difference was found in birth outcomes. The study was underpowered because of slow enrollment and high drop-out rates. Text messaging had minimal impact on improving smoking cessation rates in the obstetric population. However, further research is warranted because of the underpowered nature of this trial. Given the detrimental effects of smoking in pregnancy, more comprehensive cessation strategies are warranted.

Low-Burden Strategies to Promote Smoking Cessation Treatment Among Patients With Serious Mental Illness.

Patients with serious mental illness have high smoking prevalence and early mortality. Inadequate implementation of evidence-based smoking cessation treatment in community mental health centers (CMHCs) contributes to this disparity. This column describes a study of the effects of quality improvement strategies on treatment and cessation outcomes among patients with serious mental illness at four CMHCs. Two low-burden strategies, decision support and academic detailing with data-driven feedback, were implemented in the CMHCs' clinics from 2014 to 2016. Pre- and postimplementation data from pharmacy and medical records were analyzed. The percentage of patients receiving cessation medication increased from 5% to 18% (p≤.001), and smoking prevalence decreased from 57% to 54% (p≤.001). This quality improvement approach holds great potential for increasing the level of smoking cessation care for patients treated in CMHC settings. Decision support and academic detailing with feedback may be effective strategies to promote best practices.

The Effectiveness of a Computer-Tailored E-Learning Program for Practice Nurses to Improve Their Adherence to Smoking Cessation Counseling Guidelines: Randomized Controlled Trial.

BackgroundImproving practice nurses’ (PN) adherence to smoking cessation counseling guidelines will benefit the quality of smoking cessation care and will potentially lead to higher smoking abstinence rates. However, support programs to aid PNs in improving their guideline uptake and adherence do not exist yet.ObjectiveThe aim of this study was to assess the effects of a novel computer-tailored electronic learning (e-learning) program on PNs’ smoking cessation guideline adherence.MethodsA Web-based randomized controlled trial (RCT) was conducted in which an intervention group (N=147) with full access to the e-learning program for 6 months was compared with a control group (N=122) without access. Data collection was fully automated at baseline and 6-month follow-up via online questionnaires, assessing PNs’ demographics, work-related factors, potential behavioral predictors based on the I-Change model, and guideline adherence. PNs also completed counseling checklists to retrieve self-reported counseling activities for each consultation with a smoker (N=1175). To assess the program’s effectiveness in improving PNs’ guideline adherence (ie, overall adherence and adherence to individual counseling guideline steps), mixed linear and logistic regression analyses were conducted, thus accommodating for the smokers being nested within PNs. Potential effect moderation by work-related factors and behavioral predictors was also examined.ResultsAfter 6 months, 121 PNs in the intervention group (82.3%, 121/147) and 103 in the control group (84.4%, 103/122) completed the follow-up questionnaire. Mixed linear regression analysis revealed that counseling experience moderated the program’s effect on PNs’ overall guideline adherence (beta=.589; 95% CI 0.111-1.068; PHolm-Bonferroni =.048), indicating a positive program effect on adherence for PNs with a more than average level of counseling experience. Mixed logistic regression analyses regarding adherence to individual guideline steps revealed a trend toward moderating effects of baseline levels of behavioral predictors and counseling experience. More specifically, for PNs with less favorable scores on behavioral predictors (eg, low baseline self-efficacy) and high levels of counseling experience, the program significantly increased adherence.ConclusionsResults from our RCT showed that among PNs with more than average counseling experience, the e-learning program resulted in significantly better smoking cessation guideline adherence. Experienced PNs might have been better able to translate the content of our e-learning program into practically applicable counseling strategies compared with less experienced colleagues. Less favorable baseline levels of behavioral predictors among PNs possibly contributed to this effect, as there was more room for improvement by consulting the tailored content of the e-learning program. To further substantiate the effectiveness of e-learning programs on guideline adherence by health care professionals (HCPs), it is important to assess how to support a wider range of HCPs.Trial RegistrationNetherlands Trial Register NTR4436; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4436 (Archived by WebCite at http://www.webcitation.org/6zJQuSRq0)

Smoking Cessation Care in Cardiothoracic Surgery: A Qualitative Study Exploring the Views of Australian Clinicians

Smoking cessation (SC) care in the perioperative period of cardiothoracic surgery is important to reduce surgical risk and help achieve long-term smoking abstinence in patients who continue to smoke. The implementation of clinical guidelines for SC care in the perioperative period has proved challenging, yet little is known of what influences the inter-disciplinary team involved in the cardiothoracic area. This qualitative study explored the views of the clinicians involved in perioperative period of cardiothoracic surgery in Australia on their SC advice and support. Semi-structured interviews were conducted with 52 cardiothoracic surgeons, anaesthetists, nurses and physiotherapists in three public tertiary referral hospitals and three private hospitals in New South Wales (NSW). Data was thematically analysed, and categorised using the Behaviour Change Wheel "Capabilities, Opportunity, Motivation & Behaviour" (COM-B) analysis framework to understand the factors that influence clinicians' views and perceived abilities to provide SC care. Barriers and facilitators to providing SC care were identified. The most commonly identified barriers in capability were the lack of knowledge, training and institutional engagement. Opportunity was hindered by lack of time, hospital support and resources, yet facilitated by the existence of a collaborative, multidisciplinary team and the ability to follow-up patients long term. In motivation, clinicians' attitudes and experience negatively influenced the initiation of the cessation conversation, while intrinsic attributes of empathy and positivity were drivers to provide SC care. Clinicians' views, together with inadequate SC training, resources and engagement to implement clinical guidelines, contribute to inconsistent SC care. There is a need for hospitals to provide adequate SC resources and training to all clinicians to improve SC care to cardiothoracic surgery patients throughout the perioperative period.