The Impact of a Clinical Decision Support System for Addressing Physical Activity and Healthy Eating During Smoking Cessation Treatment: Hybrid Type I Randomized Controlled Trial.

BACKGROUND: People who smoke have other risk factors for chronic diseases, such as low levels of physical activity and poor diet. Clinical decision support systems (CDSSs) might help health care practitioners integrate interventions for diet and physical activity into their smoking cessation programming but could worsen quit rates. OBJECTIVE: The aims of this study are to assess the effects of the addition of a CDSS for physical activity and diet on smoking cessation outcomes and to assess the implementation of the study. METHODS: We conducted a pragmatic hybrid type I effectiveness-implementation trial with 232 team-based primary care practices in Ontario, Canada, from November 2019 to May 2021. We used a 2-arm randomized controlled trial comparing a CDSS addressing physical activity and diet to treatment as usual and used the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework to measure implementation outcomes. The primary outcome was self-reported 7-day tobacco abstinence at 6 months. RESULTS: We enrolled 5331 participants in the study. Of these, 2732 (51.2%) were randomized to the intervention group and 2599 (48.8%) to the control group. At the 6-month follow-up, 29.7% (634/2137) of respondents in the intervention arm and 27.3% (552/2020) in the control arm reported abstinence from tobacco. After multiple imputation, the absolute group difference was 2.1% (95% CI -0.5 to 4.6; F1,1000.42=2.43; P=.12). Mean exercise minutes changed from 32 (SD 44.7) to 110 (SD 196.1) in the intervention arm and from 32 (SD 45.1) to 113 (SD 195.1) in the control arm (group effect: B=-3.7 minutes; 95% CI -17.8 to 10.4; P=.61). Servings of fruit and vegetables changed from 2.64 servings to 2.42 servings in the intervention group and from 2.52 servings to 2.45 servings in the control group (incidence rate ratio for intervention group=0.98; 95% CI 0.93-1.02; P=.35). CONCLUSIONS: A CDSS for physical activity and diet may be added to a smoking cessation program without affecting the outcomes. Further research is needed to improve the impact of integrated health promotion interventions in primary care smoking cessation programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT04223336 https://www.clinicaltrials.gov/ct2/show/NCT04223336. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/19157.

Identifying contexts and mechanisms in multiple behavior change interventions affecting smoking cessation success: a rapid realist review.

BACKGROUND: Smoking continues to be a leading cause of preventable chronic disease-related morbidity and mortality, excess healthcare expenditure, and lost work productivity. Tobacco users are disproportionately more likely to be engaging in other modifiable risk behaviours such as excess alcohol consumption, physical inactivity, and poor diet. While hundreds of interventions addressing the clustering of smoking and other modifiable risk behaviours have been conducted worldwide, there is insufficient information available about the context and mechanisms in these interventions that promote successful smoking cessation. The aim of this rapid realist review was to identify possible contexts and mechanisms used in multiple health behaviour change interventions (targeting tobacco and two or more additional risk behaviours) that are associated with improving smoking cessation outcome. METHODS: This realist review method incorporated the following steps: (1) clarifying the scope, (2) searching for relevant evidence, (3) relevance confirmation, data extraction, and quality assessment, (4) data analysis and synthesis. RESULTS: Of the 20,423 articles screened, 138 articles were included in this realist review. Following Michie et al.'s behavior change model (the COM-B model), capability, opportunity, and motivation were used to identify the mechanisms of behaviour change. Universally, increasing opportunities (i.e. factors that lie outside the individual that prompt the behaviour or make it possible) for participants to engage in healthy behaviours was associated with smoking cessation success. However, increasing participant's capability or motivation to make a behaviour change was only successful within certain contexts. CONCLUSION: In order to address multiple health behaviours and assist individuals in quitting smoking, public health promotion interventions need to shift away from 'individualistic epidemiology' and invest resources into modifying factors that are external from the individual (i.e. creating a supportive environment). TRIAL REGISTRATION: PROSPERO registration number: CRD42017064430.

The period prevalence of risk behavior co-occurrence among Canadians.

INTRODUCTION: While the benefits of complying with health recommendations is well documented, a considerable proportion of Canadians engage in multiple modifiable risk behaviors. The purpose of this multi-wave longitudinal study was to identify the individual period prevalence and co-occurrence of multiple modifiable risk behaviors, particularly excessive alcohol consumption, physical inactivity, and tobacco use, within a nationally representative sample of Canadians. METHODS: Secondary data analysis was conducted on the first seven cycles of the National Population Health Survey. This longitudinal sample included 15,167 Canadians aged 12years of age or older. Gender-specific criteria were employed to define excessive alcohol consumption. Individuals expending <3.0kcal/kg/day during their leisure-time and smoking cigarettes (daily or occasionally) met the criteria for physical inactivity and tobacco use, respectively. RESULTS: The period prevalence of the Canadian general population that participated in multiple risk behaviors was 21.5% in cycle 7. The most common pairwise combination of co-occurring risk behaviors was physical inactivity and smoking. The proportion of Canadians reporting the co-occurrence of all three risk behaviors in cycle 7 was 2.6%. CONCLUSIONS: Understanding patterns of modifiable risk behaviors is an initial step in developing and implementing public health interventions. The co-occurrence of these three risk behaviors is a viable concern for one in five Canadians. For these individuals, the likelihood of encountering premature morbidity and mortality is escalated. As the majority of Canadians reported being physically inactive, allocating limited resources towards enhancing leisure-time physical activity levels could have significant population-level implications for improving the health of Canadians.

Healthcare providers' perspectives on implementing a brief physical activity and diet intervention within a primary care smoking cessation program: a qualitative study.

BACKGROUND: Post-smoking-cessation weight gain can be a major barrier to quitting smoking; however, adding behavior change interventions for physical activity (PA) and diet may adversely affect smoking cessation outcomes. The "Picking up the PACE (Promoting and Accelerating Change through Empowerment)" study assessed change in PA, fruit/vegetable consumption, and smoking cessation by providing a clinical decision support system for healthcare providers to utilize at the intake appointment, and found no significant change in PA, fruits/vegetable consumption, or smoking cessation. The objective of this qualitative study was to explore the factors affecting the implementation of the intervention and contextualize the quantitative results. METHODS: Twenty-five semi-structured interviews were conducted with healthcare providers, using questions based on the National Implementation Research Network's Hexagon Tool. The data were analyzed using the framework's standard analysis approach. RESULTS: Most healthcare providers reported a need to address PA and fruit/vegetable consumption in patients trying to quit smoking, and several acknowledged that the intervention was a good fit since exercise and diet could improve smoking cessation outcomes. However, many healthcare providers mentioned the need to explain the fit to the patients. Social determinants of health (e.g., low income, food insecurity) were brought up as barriers to the implementation of the intervention by a majority of healthcare providers. Most healthcare providers recognized training as a facilitator to the implementation, but time was mentioned as a barrier by many of healthcare providers. Majority of healthcare providers mentioned allied health professionals (e.g., dieticians, physiotherapists) supported the implementation of the PACE intervention. However, most healthcare providers reported a need for individualized approach and adaptation of the intervention based on the patients' needs when implementing the intervention. The COVID-19 pandemic was found to impact the implementation of the PACE intervention based on the Hexagon Tool indicators. CONCLUSION: There appears to be a need to utilize a flexible approach when addressing PA and fruit/vegetable consumption within a smoking cessation program, based on the context of clinic, the patients' it is serving, and their life circumstances. Healthcare providers need support and external resources to implement this particular intervention. NAME OF THE REGISTRY: Clinicaltrials.gov. TRIAL REGISTRATION NUMBER: NCT04223336. DATE OF REGISTRATION: 7 January 2020 Retrospectively registered. URL OF TRIAL REGISTRY RECORD: https://classic. CLINICALTRIALS: gov/ct2/show/NCT04223336 .

Substance abuse and smoking among a Canadian cohort of first episode psychosis patients.

Individuals experiencing their first psychotic episode report rates of substance and tobacco use that are higher than observed in the general population. In this sample of individuals diagnosed with first episode psychosis, rural/non-rural variations in substance use and smoking behaviour were evaluated. Analyses were performed utilizing data from a sample of individuals enrolled in early intervention programs located throughout the province of Ontario. Based upon population density, two geographical regions were developed: rural and non-rural. Illicit drug use, alcohol consumption, and smoking behaviour were assessed. The total sample consisted of 152 individuals experiencing their first episode of psychosis. Of these individuals, 82 and 70 resided in rural and non-rural areas, respectively. Rural vs non-rural residence was not significantly associated with substance or tobacco use. Regardless of geographical location, early intervention programs for individuals experiencing their first psychotic episode need to incorporate interventions that address substance use.

Coronavirus Disease 2019 and the Impact on Substance Use Disorder Treatments.

Coronavirus disease 2019 (COVID-19)-related stressors and restrictions, in the absence of social and institutional support, have led many individuals to either increase their substance consumption or relapse. Consequently, treatment programs for substance use disorders (SUDs) made a transition from in-person to remote care delivery. This review discusses the following evidence regarding changes prompted by the COVID pandemic to the clinical care of individuals with SUDs: (1) reduction in availability of care, (2) increase in demand for care, (3) transition to telemedicine use, (4) telemedicine for treatment of opioid use disorders, and (5) considerations for use of telemedicine in treating SUDs.

Smoking Cessation Training and Treatment: Options for Cancer Centres.

Patients who achieve smoking cessation following a cancer diagnosis can experience an improvement in treatment response and lower morbidity and mortality compared to individuals who continue to smoke. It is therefore imperative for publicly funded cancer centres to provide appropriate training and education for healthcare providers (HCP) and treatment options to support smoking cessation for their patients. However, system-, practitioner-, and patient-level barriers exist that hamper the integration of evidence-based cessation programs within publicly funded cancer centres. The integration of evidence-based smoking cessation counselling and pharmacotherapy into cancer care facilities could have a significant effect on smoking cessation and cancer treatment outcomes. The purpose of this paper is to describe the elements of a learning health system for smoking cessation, implemented and scaled up in community settings that can be adapted for ambulatory cancer clinics. The core elements include appropriate workflows enabled by technology, thereby improving both practitioner and patient experience and effectively removing practitioner-level barriers to program implementation. Integrating the smoking cessation elements of this program from primary care to cancer centres could improve smoking cessation outcomes in patients attending cancer clinics.

Co-designing Behavior Change Resources With Treatment-Seeking Smokers: Engagement Events' Findings.

Background: Primary care organizations are well-suited to help patients change their unhealthy behaviors. Evidence shows that risk communication and self-monitoring of behavior are is an effective strategy practitioners can use to promote health behavior change with their patients. In order for this evidence to be actionable, it is important to understand how patients would like this information to be communicated and to operationalize the self-monitoring resources. The objective of this study was to co-create resources that encourage behavior change based on the scientific evidence and from patients with lived experiences. Materials and Methods: Twenty-seven individuals who participated in a smoking cessation program and engaged in at least one other unhealthy behavior joined one of two engagement events. Each event was 3 h in duration and consisted of two exercises that provided support to participants in reaching a consensus about the types of messages they would like to receive from their practitioner as well as self-monitoring resources they would prefer to use. The first exercise followed an adapted version of the Consensus Methodology developed by the Institute of Cultural Affairs Canada, while the second exercise was in accordance to the Nominal Group Technique. Results: Participants' preference was to have practitioners convey messages to promote health behavior change that include positive affirmation and to monitor all their health behaviors using a single self-reported tracking sheet. Conclusions: This paper features the use of engagement events to reflect upon and identify potential resources that treatment seeking smokers prefer to receive while attempting to modify unhealthy behaviors. These resources can be used by health care providers in primary care settings to support health promotion interventions and assist their patients to increase their likelihood of adopting positive changes to risk behaviors.

Changes in the reach of a smoking cessation program in Ontario, Canada, during the COVID-19 pandemic: a cross-sectional study.

BACKGROUND: Given the harms associated with tobacco use, continuing the provision of smoking cessation treatment during the COVID-19 pandemic is critical. The aim of this study was to examine pandemic-related changes in enrolment, total treatment use and participant characteristics in a large, publicly funded smoking cessation program in Ontario, Canada. METHODS: We conducted a secondary data analysis of patients who enrolled in the program between Jan. 1, 2018, and Dec. 7, 2020. We used descriptive statistics to examine changes in treatment use. To test for differences in sociodemographic and health variables, we used segmented mixed-effects regression with a break point on Mar. 17, 2020, when Ontario declared a state of emergency. We tested 25 variables, using Holm's correction for multiplicity. RESULTS: We analyzed 60 373 enrolments. In the month after the break point, enrolments fell 69% and total visits fell 42% relative to previous years. After Mar. 17, 2020, those who enrolled were less likely to report employment in the previous week (absolute expected difference -12.4%, 95% confidence interval [CI] -15.0% to -9.8%); were more likely to be occasional (1.3%, 95% CI 0.6% to 1.9%) or noncurrent smokers (1.7%, 95% CI 0.8% to 2.6%); were less likely to have set a target quit date (-4.8%, 95% CI -7.0% to -2.6%); and were more likely to have a physical health (6.6%, 95% CI 4.0% to 9.2%), mental health (4.6%, 95% CI 1.9% to 7.2%) or substance use diagnosis (3.5%, 95% CI 1.3% to 5.6%). INTERPRETATION: Sharp decreases in new enrolments and subsequent visits to smoking cessation programs were seen when pandemic restrictions were implemented in Ontario, but the characteristics of the people who accessed the programs did not change markedly. Incorporating an equity perspective is essential when new models of care for smoking cessation are developed.

Food Addiction and Tobacco Use Disorder: Common Liability and Shared Mechanisms.

As food addiction is being more commonly recognized within the scientific community, parallels can be drawn between it and other addictive substance use disorders, including tobacco use disorder. Given that both unhealthy diets and smoking are leading risk factors for disability and death, a greater understanding of how food addiction and tobacco use disorder overlap with one another is necessary. This narrative review aimed to highlight literature that investigated prevalence, biology, psychology, and treatment options of food addiction and tobacco use disorder. Published studies up to August 2020 and written in English were included. Using a biopsychosocial lens, each disorder was assessed together and separately, as there is emerging evidence that the two disorders can develop concurrently or sequentially within individuals. Commonalities include but are not limited to the dopaminergic neurocircuitry, gut microbiota, childhood adversity, and attachment insecurity. In addition, the authors conducted a feasibility study with the purpose of examining the association between food addiction symptoms and tobacco use disorder among individuals seeking tobacco use disorder treatment. To inform future treatment approaches, more research is necessary to identify and understand the overlap between the two disorders.

Impact of a Web-Based Clinical Decision Support System to Assist Practitioners in Addressing Physical Activity and/or Healthy Eating for Smoking Cessation Treatment: Protocol for a Hybrid Type I Randomized Controlled Trial.

BACKGROUND: Modifiable risk factors such as tobacco use, physical inactivity, and poor diet account for a significant proportion of the preventable deaths in Canada. These factors are also known to cluster together, thereby compounding the risks of morbidity and mortality. Given this association, smoking cessation programs appear to be well-suited for integration of health promotion activities for other modifiable risk factors. The Smoking Treatment for Ontario Patients (STOP) program is a province-wide smoking cessation program that currently encourages practitioners to deliver Screening, Brief Intervention, and Referral to treatment for patients who are experiencing depressive symptoms or consume excessive amounts of alcohol via a web-enabled clinical decision support system. However, there is no available clinical decision support system for physical inactivity and poor diet, which are among the leading modifiable risk factors for chronic diseases. OBJECTIVE: The aim of this study is to assess whether adding a computerized/web-enabled clinical decision support system for physical activity and diet to a smoking cessation program affects smoking cessation outcomes. METHODS: This study is designed as a hybrid type 1 effectiveness/implementation randomized controlled trial to evaluate a web-enabled clinical decision support system for supporting practitioners in addressing patients' physical activity and diet as part of smoking cessation treatment in a primary care setting. This design was chosen as it allows for simultaneous testing of the intervention, its delivery in target settings, and the potential for implementation in real-world situations. Intervention effectiveness will be measured using a two-arm randomized controlled trial. Health care practitioners will be unblinded to their patients' treatment allocation; however, patients will be blinded to whether their practitioner receives the clinical decision support system for physical activity and/or fruit/vegetable consumption. The evaluation of implementation will be guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. RESULTS: Recruitment for the primary outcome of this study is ongoing and will be completed in November 2020. Results will be reported in March 2021. CONCLUSIONS: The findings of the study will provide much needed insight into whether adding a computerized/web-enabled clinical decision support system for physical activity and diet to a smoking cessation program affects smoking cessation outcome. Furthermore, the implementation evaluation would provide insight into the feasibility of online-based interventions for physical activity and diet in a smoking cessation program. Addressing these risk factors simultaneously could have significant positive effects on chronic disease and cancer prevention. TRIAL REGISTRATION: ClinicalTrials.gov NCT04223336; https://clinicaltrials.gov/ct2/show/NCT04223336. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/19157.

Characteristics of physically active smokers and implications for harm reduction.

OBJECTIVES: We sought to establish the prevalence of physical activity among smokers, whether or not physically active smokers were more likely to attempt cessation, and who these physically active smokers were. METHODS: We used logistic regression to contrast physically active and inactive smokers in a secondary data analysis of the Canadian Community Health Survey Cycle 1.1. RESULTS: Physically active smokers represented almost one quarter of the smoking population. Compared with physically inactive smokers, physically active smokers were more likely to have attempted cessation in the past year. Physically active smokers were more likely to be young, single, and men compared with their inactive counterparts. Income had no influence in distinguishing physically active and inactive smokers. CONCLUSIONS: Skepticism persists regarding the practicality and potential risks of promoting physical activity as a harm-reduction strategy for tobacco use. We found that a modest proportion of the daily smoking population was physically active and that engagement in this behavior was related to greater cessation attempts. Interventions could be developed that target smokers who are likely to adopt physical activity.

The effects of interventions targeting multiple health behaviors on smoking cessation outcomes: a rapid realist review protocol.

BACKGROUND: Health behaviors directly impact the health of individuals, and populations. Since individuals tend to engage in multiple unhealthy behaviors such as smoking, excessive alcohol use, physical inactivity, and eating an unhealthy diet simultaneously, many large community-based interventions have been implemented to reduce the burden of disease through the modification of multiple health behaviors. Smoking cessation can be particularly challenging as the odds of becoming dependent on nicotine increase with every unhealthy behavior a smoker exhibits. This paper presents a protocol for a rapid realist review which aims to identify factors associated with effectively changing tobacco use and target two or more additional unhealthy behaviors. METHODS: An electronic literature search will be conducted using the following bibliographic databases: MEDLINE, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL), The Cochrane Library, Social Science Abstracts, Social Work Abstracts, and Web of Science. Two reviewers will screen titles and abstracts for relevant research, and the selected full papers will be used to extract data and assess the quality of evidence. Throughout this process, the rapid realist approach proposed by Saul et al., 2013 will be used to refine our initial program theory and identify contextual factors and mechanisms that are associated with successful multiple health behavior change. DISCUSSION: This review will provide evidence-based research on the context and mechanisms that may drive the success or failure of interventions designed to support multiple health behavior change. This information will be used to guide curriculum and program development for a government funded project on improving smoking cessation by addressing multiple health behaviors in people in Canada. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017064430.

A longitudinal examination of the interrelationship of multiple health behaviors.

BACKGROUND: Evaluating the interrelationship of health behaviors could assist in the development of effective public health interventions. Furthermore, the ability to identify cognitive mediators that may influence multiple behavioral changes requires evaluation. PURPOSE: To evaluate covariation among health behaviors, specifically alcohol consumption, leisure-time physical activity, and smoking, and examine whether mastery acts as a mediating social-cognitive mechanism that facilitates multiple health behavior change in a longitudinal analysis. METHODS: In 2010, secondary data analysis was conducted on the first seven cycles of the Canadian National Population Health Survey. Data collection began in 1994-1995 and has continued biennially. At the time of this analysis, only seven cycles of data (2006-2007) were available. Parallel process growth curve models were used to analyze covariation between health behaviors and the potential mediating effects of perceived mastery. RESULTS: Increases in leisure-time physical activity were associated with reductions in tobacco use, whereas declines in alcohol consumption were associated with decreases in tobacco use. Covariation between alcohol consumption and leisure-time physical activity did not reach statistical significance. For the most part, mastery was unsuccessful in mediating the interrelationship of multiple behavioral changes. CONCLUSIONS: Health behaviors are not independent but rather interrelated. In order to optimize limited prevention resources, these results suggest that population-level intervention efforts targeting multiple modifiable behavioral risk factors may not need to occur simultaneously.

Psychosis 101: evaluating a training programme for northern and remote youth mental health service providers.

BACKGROUND: Most of the early psychosis intervention (EPI) training has focused on family physicians participants. In Northern Ontario, there is a shortage of primary care. This paper will present evaluation results of a pilot training programme for rural and remote youth mental health service providers. METHOD: A mixed methods approach was used. We evaluated a 2-day workshop about EPI for non-medical mental health workers delivered onsite and simultaneously by videoconferencing. There were 19 participants across four agencies. Seven were onsite and 12 were offsite. Participants' knowledge was measured using a validated questionnaire at pre-intervention and at 3-, 6- and 9-month follow up. A repeated measures ANOVA was used to evaluate knowledge acquisition between the two modes of training. At 6 months, focus group interviews were conducted to explore their experiences of the mode of intervention delivery and evaluation. Emerging themes were iteratively derived through a series of discussions involving independent coders. RESULTS: Only 15 complete datasets were available of the 19 original participants. Differences in knowledge acquisition between the two groups did not reach statistical difference. Six-month focus group data indicated that participants improved their relationship with EPI services and they were part of a strengthened network with other providers in the region. Post-intervention, the accuracy of referrals from participating agencies increased dramatically, with an increase in proportion of referrals who were eligible for EPI services. The follow-up process engaged participants in learning and re-engaged them with the material taught during the training session. CONCLUSIONS: The results about developing service partnerships and relationship with specialist services are encouraging for policy and service decision-makers to address mental health service needs in northern and remote areas.