Risk-based lung cancer screening performance in a universal healthcare setting.

Globally, lung cancer is the leading cause of cancer death. Previous trials demonstrated that low-dose computed tomography lung cancer screening of high-risk individuals can reduce lung cancer mortality by 20% or more. Lung cancer screening has been approved by major guidelines in the United States, and over 4,000 sites offer screening. Adoption of lung screening outside the United States has, until recently, been slow. Between June 2017 and May 2019, the Ontario Lung Cancer Screening Pilot successfully recruited 7,768 individuals at high risk identified by using the PLCOm2012noRace lung cancer risk prediction model. In total, 4,451 participants were successfully screened, retained and provided with high-quality follow-up, including appropriate treatment. In the Ontario Lung Cancer Screening Pilot, the lung cancer detection rate and the proportion of early-stage cancers were 2.4% and 79.2%, respectively; serious harms were infrequent; and sensitivity to detect lung cancers was 95.3% or more. With abnormal scans defined as ones leading to diagnostic investigation, specificity was 95.5% (positive predictive value, 35.1%), and adherence to annual recall and early surveillance scans and clinical investigations were high (>85%). The Ontario Lung Cancer Screening Pilot provides insights into how a risk-based organized lung screening program can be implemented in a large, diverse, populous geographic area within a universal healthcare system.

Integrating Smoking Cessation Into Low-Dose Computed Tomography Lung Cancer Screening: Results of the Ontario, Canada Pilot.

INTRODUCTION: Low-dose computed tomography screening in high-risk individuals reduces lung cancer mortality. To inform the implementation of a provincial lung cancer screening program, Ontario Health undertook a Pilot study, which integrated smoking cessation (SC). METHODS: The impact of integrating SC into the Pilot was assessed by the following: rate of acceptance of a SC referral; proportion of individuals who were currently smoking cigarettes and attended a SC session; the quit rate at 1 year; change in the number of quit attempts; change in Heaviness of Smoking Index; and relapse rate in those who previously smoked. RESULTS: A total of 7768 individuals were recruited predominantly through primary care physician referral. Of these, 4463 were currently smoking and were risk assessed and referred to SC services, irrespective of screening eligibility: 3114 (69.8%) accepted referral to an in-hospital SC program, 431 (9.7%) to telephone quit lines, and 50 (1.1%) to other programs. In addition, 4.4% reported no intention to quit and 8.5% were not interested in participating in a SC program. Of the 3063 screen-eligible individuals who were smoking at baseline low-dose computed tomography scan, 2736 (89.3%) attended in-hospital SC counseling. The quit rate at 1 year was 15.5% (95% confidence interval: 13.4%-17.7%; range: 10.5%-20.0%). Improvements were also observed in Heaviness of Smoking Index (p < 0.0001), number of cigarettes smoked per day (p < 0.0001), time to first cigarette (p < 0.0001), and number of quit attempts (p < 0.001). Of those who reported having quit within the previous 6 months, 6.3% had resumed smoking at 1 year. Furthermore, 92.7% of the respondents reported satisfaction with the hospital-based SC program. CONCLUSIONS: On the basis of these observations, the Ontario Lung Screening Program continues to recruit through primary care providers, to assess risk for eligibility using trained navigators, and to use an opt-out approach to referral for cessation services. In addition, initial in-hospital SC support and intensive follow-on cessation interventions will be provided to the extent possible.

Evolution of a Systematic Approach to Smoking Cessation in Ontario's Regional Cancer Centres.

Smoking cessation after a cancer diagnosis can significantly improve a person's prognosis, treatment efficacy and safety, and quality of life. In 2012, Cancer Care Ontario (now part of Ontario Health) introduced a Framework for Smoking Cessation, to be implemented for new ambulatory cancer patients at the province's 14 Regional Cancer Centres (RCCs). Over time, the program has evolved to become more efficient, use data for robust performance management, and broaden its focus to include new patient populations and additional data collection. In 2017, the framework was revised from a 5As to a 3As brief intervention model, along with an opt-out approach to referrals. The revised model was based on emerging evidence, feedback from stakeholders, and an interim program evaluation. Results showed an initial increase in referrals to cessation services. Two indicators (tobacco use screening and acceptance of a referral) are routinely monitored as part of Ontario Health's system-wide performance management approach, which has been identified as a key driver of change among RCCs. Due to the COVID-19 pandemic, many RCCs reported a decrease in these indicators. RCCs that were able to maintain a high level of smoking cessation activities during the pandemic offer valuable lessons, including the opportunity to swiftly leverage virtual care. Future directions for the program include capturing data on cessation outcomes and expanding the intervention to new populations. A focus on system recovery from COVID-19 will be paramount. Smoking cessation must remain a core element of high-quality cancer care, so that patients achieve the best possible health benefits from their treatments.

Socio-demographic factors related to binge drinking in Ontario.

BACKGROUND: Alcohol consumption has been linked to harmful health short and long-term outcomes. An analysis of socio-demographic factors related to binge drinking may help to identify groups at risk and provide primary health care providers an opportunity to assist members of those groups. In this study, we examined socio-demographic factors associated with binge drinking in Ontario, Canada. METHODS: This analysis used data from a cross-sectional survey of Ontario adults (ages 19 and older) for the 2015-2017 period. Bivariate and multivariate adjusted analyses examined the association between binge drinking and socio-demographic factors. These analyses were also stratified by sex. RESULTS: Increased alcohol binge drinking was associated with several socio-demographic factors including younger age groups, lower educational attainment, lower household income quintile, having immigrated to Canada within past 10 years, being male, reporting poorer mental health, being single, living in rural areas, and being unemployed. No differences were noted by households with or without children or by sexual orientation. Many of the factors associated with binge drinking remained significant when stratified by sex. DISCUSSION: These findings suggest that several socio-demographic factors are associated with binge drinking. These can be helpful indicators for decision makers responsible for programs and policies aimed at reducing alcohol binge drinking, and for primary care providers, who in a brief intervention can screen for binge drinking and support those individuals by connecting them with local resources to reduce their harmful alcohol consumption habits.

Identifying Best Implementation Practices for Smoking Cessation in Complex Cancer Settings.

BACKGROUND: In response to evidence about the health benefits of smoking cessation at time of cancer diagnosis, Ontario Health (Cancer Care Ontario) (OH-CCO) instructed Regional Cancer Centres (RCC) to implement smoking cessation interventions (SCI). RCCs were given flexibility to implement SCIs according to their context but were required to screen new patients for tobacco status, advise patients about the importance of quitting, and refer patients to cessation supports. The purpose of this evaluation was to identify practices that influenced successful implementation across RCCs. METHODS: A realist evaluation approach was employed. Realist evaluations examine how underlying processes of an intervention (mechanisms) in specific settings (contexts) interact to produce results (outcomes). A realist evaluation may thus help to generate an understanding of what may or may not work across contexts. RESULTS: The RCCs with the highest Tobacco Screening Rates used a centralized system. Regarding the process for advising and referring, three RCCs offered robust smoking cessation training, resulting in advice and referral rates between 80% and 100%. Five RCCs surpassed the target for Accepted Referral Rates; acceptance rates for internal referral were highest overall. CONCLUSION: Findings highlight factors that may influence successful SCI implementation.

Association between Cancer Risk and Behaviors Adherent to Cancer Prevention Recommendations in Ontario, Canada.

PURPOSE: In 2007, the World Cancer Research Fund (WCRF) and American Institute for Cancer Research (AICR) published several diet and physical activity recommendations to reduce cancer risk. Our objective was to examine the association between self-reported behaviors consistent with the WCRF/AICR recommendations and the risk of developing any cancer and colorectal cancer in Ontario. METHOD: 111,139 Ontarians who completed the Canadian Community Health Survey (2000-2008) were linked to the Ontario Cancer Registry to determine whether they were diagnosed with cancer. Their responses were used to assess behaviors consistent with 4 WCRF/AICR recommendations (body fatness, physical activity, vegetable and fruit consumption, and alcoholic drinks). Multivariate Cox proportional hazard regression models were used to assess the association between adherence to the 4 WCRF/AICR recommendations and subsequent cancer risk. RESULTS: Among the 111,139 participants, 8,942 (8%) were diagnosed with cancer with a mean follow-up of 9.6 years. Compared to not meeting any of the selected WCRF/AICR recommendations (composite score, 0), participants who were most adherent to the selected WCRF/AICR recommendations (composite score, 4) were 31% less likely to develop any cancer (HR, 0.69; 95% CI, 0.51-0.92) and were 61% less likely to develop colorectal cancer (HR, 0.39; 95% CI, 0.20-0.77) after adjusting for some potential confounding factors. When stratified by sex, the associations remained statistically significant for men, but not for women. In addition, increasing vegetable and fruit consumption, having lower body fatness, and decreasing alcohol consumption were each associated with reduced risk of both any cancer and colorectal cancer. CONCLUSION: Healthy behaviors consistent with select WCRF/AICR recommendations were associated with a decreased risk of developing any cancer and colorectal cancer among this Ontario cohort.

Comprehensive Cancer Survival by Neighborhood-Level Income in Ontario, Canada, 2006-2011.

BACKGROUND: Cancer survival statistics can provide a means to assess the effectiveness of the cancer care system, including early detection strategies, the quality of clinical care, and disease management. Disparities in cancer survival (for instance, by neighborhood-level income) persist in Ontario, Canada despite the existence of a universal health care system. Lower income has been associated with an increased incidence of cancer and worsened survival. PURPOSE: This project aims to analyze and report on relative survival to provide a mechanism for understanding the level of equity within Ontario's cancer care system. METHODS: Age-standardized relative survival ratios (ARSRs) by cancer type and age group were estimated for 229,934 Ontario adults aged 15-99 years diagnosed between 2006 and 2011 with 1 of 9 cancer types (stomach, colorectal, liver, lung, breast, cervical, ovarian, prostate, and leukemia) using a complete survival analysis. Using the Pohar-Perme estimator, the 1-, 3- and 5-year ARSRs with 95% confidence intervals were calculated by patients' neighborhood-level income quintile. Estimates were age-standardized using the International Cancer Survival Standard weights. RESULTS: Fifty-four relative survival trend curves were developed covering 9 cancers by neighborhood-level income for Ontarians in 5 different age groups and all age groups combined. Disparities in cancer survival were observed between income groups and across age groups and different cancer types in Ontario. For most cancer types and age groups, survival was higher in higher income groups, but this trend was not consistently observed in adolescents and young adults aged 15-44 years. CONCLUSIONS: Disparities in cancer survival persist in Ontario across income groups. Relative survival was significantly higher for higher (Q4 or Q5) compared to lower (Q1 or Q2) neighborhood-level income populations for most cancer types and age groups. Adolescents and young adults with cancer are a small and unique group of patients in terms of the biology of their cancers and their cancer journey, thereby making the patterns of survival disparities observed in this age group more complicated to interpret. Further examination of factors contributing to these disparities is crucial to eliminate survival disparities, reduce premature deaths, and improve cancer survival in Ontario.

Impact of smoking on health system costs among cancer patients in a retrospective cohort study in Ontario, Canada.

OBJECTIVE: Smoking is the main modifiable cancer risk factor. The objective of this study was to examine the impact of smoking on health system costs among newly diagnosed adult patients with cancer. Specifically, costs of patients with cancer who were current smokers were compared with those of non-smokers from a publicly funded health system perspective. METHODS: This population-based cohort study of patients with cancer used administrative databases to identify smokers and non-smokers (1 April 2014-31 March 2016) and their healthcare costs in the 12-24 months following a cancer diagnosis. The health services included were hospitalisations, emergency room visits, drugs, home care services and physician services (from the time of diagnosis onwards). The difference in cost (ie, incremental cost) between patients with cancer who were smokers and those who were non-smokers was estimated using a generalised linear model (with log link and gamma distribution), and adjusted for age, sex, neighbourhood income, rurality, cancer site, cancer stage, geographical region and comorbidities. RESULTS: This study identified 3606 smokers and 14 911 non-smokers. Smokers were significantly younger (61 vs 65 years), more likely to be male (53%), lived in poorer neighbourhoods, had more advanced cancer stage,and were more likely to die within 1 year of diagnosis, compared with non-smokers. The regression model revealed that, on average, smokers had significantly higher monthly healthcare costs ($5091) than non-smokers ($4847), p<0.05. CONCLUSIONS: Smoking status has a significant impact on healthcare costs among patients with cancer. On average, smokers incurred higher healthcare costs than non-smokers. These findings provide a further rationale for efforts to introduce evidence-based smoking cessation programmes as a standard of care for patients with cancer as they have the potential not only to improve patients' outcomes but also to reduce the economic burden of smoking on the healthcare system.

Implementing smoking cessation within cancer treatment centres and potential economic impacts.

BACKGROUND: Although the health benefits of smoking cessation in newly diagnosed cancer patients are well established, systematic efforts to help cancer patients stop smoking have rarely been implemented in cancer centres. METHODS: Starting in 2012, the 14 regional cancer centres overseen by Cancer Care Ontario in the province of Ontario, Canada began to screen ambulatory cancer patients for their smoking status, to provide smokers with advice on the health benefits of quitting and to offer referral to smoking cessation services. Multiple initiatives were undertaken to educate healthcare providers and patients on the health benefits of cessation. Critical to the success of the initiative was strong leadership from Cancer Care Ontario executives and regional vice presidents, advice from an advisory committee of smoking cessation experts, engagement of regional champions and support from a provincial secretariat. The quarterly review of performance metrics was an important driver of change. RESULTS: Most cancer centres now screen in excess of 75% of ambulatory patients but rates for the acceptance of a referral to smoking cessation services remain low (less than 25%). Introduction of an opt-out referral process appears to increase referral acceptance. Economic analyses suggest that smoking cessation is cost-effective in a cancer centre environment. CONCLUSIONS: Although there are barriers to the implementation of smoking cessation in cancer centres, it is possible to change the culture to one in which smoking cessation is considered part of high-quality treatment.

Economic evaluation of smoking cessation in Ontario's regional cancer programs.

Quitting smoking after a diagnosis of cancer results in greater response to treatment and decreased risk of disease recurrence and second primary cancers. The objective of this study was to evaluate the potential cost-effectiveness of two smoking cessation approaches: the current basic smoking cessation program consisting of screening for tobacco use, advice, and referral; and a best practice smoking cessation program that includes the current basic program with the addition of pharmacological therapy, counseling, and follow-up. A Markov model was constructed that followed 65-year-old smokers with cancer over a lifetime horizon. Transition probabilities and mortality estimates were obtained from the published literature. Costs were obtained from standard costing sources in Ontario and reports. Probabilistic and deterministic sensitivity analyses were conducted to address parameter uncertainties. For smokers with cancer, the best practice smoking cessation program was more effective and more costly than the basic smoking cessation program. The incremental cost-effectiveness ratio of the best practice smoking cessation program compared to the basic smoking cessation program was $3367 per QALY gained and $5050 per LY gained for males, and $2050 per QALY gained and $4100 per LY gained for females. Results were most sensitive to the hazard ratio of mortality for former and current smokers, the probability of quitting smoking through participation in the program and smoking-attributable costs. The study results suggested that a best practice smoking cessation program could be a cost-effective option. These findings can support and guide implementation of smoking cessation programs.

The Development of a Provincial Food and Nutrition Strategy through Cross-Sector Collaboration.

A whole-system perspective is critical in efforts to create a healthy population and a productive, equitable, and sustainable food system. In 2009, the Ontario Collaborative Group on Healthy Eating and Physical Activity undertook a bold initiative to develop a comprehensive provincial strategy encompassing the entire food system. The Ontario Food and Nutrition Strategy was shaped through extensive consultation with diverse stakeholders. This strategy identified strategic directions and priority actions for productive, equitable, and sustainable food systems intended to promote the health and well-being of all Ontarians. Paramount to the strategy is a collaborative governance mechanism allowing for a cross-government, multistakeholder coordinated approach to food policy development. Key actors participated in a collective impact process to develop a theory of change and potential governance model. Different models for collaborative work were examined and a governance model for a multistakeholder coordinated provincial mechanism was proposed. Lessons learned from this process will inform others involved in food systems work at the provincial, regional, or local level and may pave the way towards successful inter-sectoral action on priority recommendations geared towards improved nutrition-related and food systems outcomes.

The Ontario Food and Nutrition Strategy: identifying indicators of food access and food literacy for early monitoring of the food environment. / Stratégie sur l'alimentation et la nutrition de l'Ontario : établissement d'indicateurs de l'accès aux aliments et de l'alphabétisme alimentaire pour un premier suivi de l'environnement alimentaire.

INTRODUCTION: To address challenges Canadians face within their food environments, a comprehensive, multistakeholder, intergovernmental approach to policy development is essential. Food environment indicators are needed to assess population status and change. The Ontario Food and Nutrition Strategy (OFNS) integrates the food, agriculture and nutrition sectors, and aims to improve the health of Ontarians through actions that promote healthy food systems and environments. This report describes the process of identifying indicators for 11 OFNS action areas in two strategic directions (SDs): Healthy Food Access, and Food Literacy and Skills. METHODS: The OFNS Indicators Advisory Group used a five-step process to select indicators: (1) potential indicators from national and provincial data sources were identified; (2) indicators were organized by SD, action area and data type; (3) selection criteria were identified, pilot tested and finalized; (4) final criteria were applied to refine the indicator list; and (5) indicators were prioritized after reapplication of selection criteria. RESULTS: Sixty-nine potential indicators were initially identified; however, many were individual-level rather than system-level measures. After final application of the selection criteria, one individual-level indicator and six system-level indicators were prioritized in five action areas; for six of the action areas, no indicators were available. CONCLUSION: Data limitations suggest that available data may not measure important aspects of the food environment, highlighting the need for action and resources to improve system-level indicators and support monitoring of the food environment and health in Ontario and across Canada.

INTRODUCTION: Une approche intergouvernementale multilatérale globale en matière d'élaboration de politiques est essentielle pour permettre aux Canadiens et aux Canadiennes de faire face aux défis que pose leur environnement alimentaire. Des indicateurs de l'environnement alimentaire sont nécessaires pour évaluer l'état et l'évolution de la population. La Stratégie sur l'alimentation et la nutrition de l'Ontario (SANO), qui regroupe les secteurs de l'alimentation, de l'agriculture et de la nutrition, vise à améliorer la santé de la population ontarienne par des interventions favorisant des systèmes et des environnements alimentaires sains. Cet article décrit le processus d'établissement d'indicateurs pour 11 secteurs d'intervention de la SANO dans deux orientations stratégiques : l'accès à des aliments sains et l'alphabétisme et les compétences alimentaires. MÉTHODOLOGIE: Le groupe consultatif sur les indicateurs de la SANO a suivi un processus en cinq étapes pour choisir les indicateurs : 1) choix des indicateurs potentiels dans les sources de données provinciales et nationales, 2) catégorisation des indicateurs par orientation stratégique, par secteur d'intervention et par type de données, 3) établissement, essai pilote et finalisation des critères de sélection, 4) application des critères finaux pour améliorer la liste des indicateurs et 5) établissement des indicateurs prioritaires après cette application finale des critères de sélection. RÉSULTATS: Soixante-neuf indicateurs potentiels ont été recensés au départ, mais un grand nombre d'entre eux offraient des mesures individuelles et non collectives. Après l'application finale des critères de sélection, ont été jugés prioritaires un indicateur individuel et six indicateurs collectifs associés à cinq secteurs d'intervention, aucun indicateur n'étant disponible pour les six autres secteurs d'intervention. CONCLUSION: Les limites des données existantes laissent penser qu'on ne peut sans doute pas qualifier certaines caractéristiques importantes de l'environnement alimentaire, d'où l'importance de prendre des mesures et d'allouer des ressources pour améliorer les indicateurs collectifs et d'appuyer le suivi de l'environnement alimentaire et de la santé alimentaire tant en Ontario que dans le reste du Canada.