Pivoting data and analytic capacity to support Ontario's COVID-19 response.

Introduction: Health care systems have faced unprecedented challenges due to the COVID-19 pandemic. Access to timely population-based data has been vital to informing public health policy and practice. Methods: We describe how ICES, an independent not-for-profit research and analytic institute in Ontario, Canada, pivoted existing research infrastructure and engaged health system stakeholders to provide near real-time population-based data and analytics to support Ontario's COVID-19 pandemic response. Results: Since April 2020, ICES provided the Ontario COVID-19 Provincial Command Table and public health partners with regular and ad hoc reports on SARS-CoV-2 testing and COVID-19 vaccine coverage. These reports: 1) helped identify congregate care/shared living settings that needed testing and prevention efforts early in the pandemic; 2) provided early indications of inequities in testing and infection in marginalized neighbourhoods, including areas with higher proportions of immigrants and visible minorities; 3) identified areas with high test positivity, which helped Public Health Units target and evaluate prevention efforts; and 4) contributed to altering the province's COVID-19 vaccine roll-out strategy to target high-risk neighbourhoods and helping Public Health Units and community organizations plan local vaccination programs. In addition, ICES is a key component of the Ontario Health Data Platform, which provides scientists with data access to conduct COVID-19 research and analyses. Discussion and Conclusion: ICES was well-positioned to provide rapid analyses for decision-makers to respond to the evolving public health emergency, and continues to contribute to Ontario's pandemic response by providing timely, relevant reports to health system stakeholders and facilitating data access for externally-funded COVID-19 research.

The integrated role of multiple healthy weight behaviours on overweight and obesity among adolescents: a cross-sectional study.

BACKGROUND: This study contributes to the limited number of studies that have explored the impact of not meeting the recommendations for moderate-to-vigorous physical activity, screen time, fruit and vegetable consumption and sleep on overweight and obesity among adolescents. METHODS: A cross-sectional study of data from the 2015 Ontario Student Drug Use and Health Survey (OSDUHS), a provincially representative survey of students in publically funded schools in Ontario, Canada, was conducted. This study included self-reported data from students aged 11-17 years (n = 9866). The main outcome variable was overweight or obesity, classified using WHO BMI cut-points. Four independent variables for healthy weight behaviours were examined: (1) moderate-to-vigorous physical activity (MVPA) (≥ 60 mins vs. < 60 mins everyday over the last seven days); (2) screen time (< 2 h daily vs. ≥ 2 h daily); (3) fruit and vegetable consumption (≥ 5 times/day vs. < 5 times/day); (4) sleep (adequate based on guidelines vs. inadequate). Covariates included sex, age, Subjective Social Status (SSS), parental education and ethnicity. Binomial and multinomial logistic regression models were fitted to determine whether not meeting the recommendations for healthy weight behaviours was associated with overweight or obesity status. RESULTS: Only 2% of students in Ontario met the recommendations for all four healthy weight behaviours and 33% of students did not meet any of the four recommendations. In both the binomial and multinomial models, not meeting the recommendations for MVPA was the only significant healthy weight behaviour associated with both overweight and obesity (AOR: 1.29, 95% CI: 1.03-1.62), and solely obesity (AOR: 1.45, 95% CI: 1.05-1.99). Males, students with lower SSS ratings, and students with parents with an education of 'High School' or less were also at significantly greater odds of being obese. CONCLUSION: Findings from this study show that inadequate levels of MVPA is a critical behavioural predictor of obesity status in adolescents between the ages of 11-17 years, after controlling for differences in screen time, fruit and vegetable consumption, sleep, and demographics. Findings from this study could have implications toward policies and programs targeted at reducing obesity, and increasing the physical activity rates of adolescents.

Walking the Path Together: Indigenous Health Data at ICES.

Indigenous data governance principles assert that Indigenous communities have a right to data that identifies their people or communities, and a right to determine the use of that data in ways that support Indigenous health and self-determination. Indigenous-driven use of the databases held at the Institute for Clinical Evaluative Sciences (ICES) has resulted in ongoing partnerships between ICES and diverse Indigenous organizations and communities. To respond to this emerging and complex landscape, ICES has established a team whose goal is to support the infrastructure for responding to community-initiated research priorities. ICES works closely with Indigenous partners to develop unique data governance agreements and supports processes, which ensure that ICES scientists must work with Indigenous organizations when conducting research that involves Indigenous peoples.

The burden of mental illness and addiction in ontario.

OBJECTIVE: Public Health Ontario and the Institute for Clinical Evaluative Sciences have collaborated to estimate the burden of illness attributable to mental disorder and addictions in Ontario. METHODS: Health-adjusted life years were used to estimate burden. It is conceptually similar to disability-adjusted life years that were used in the global burden of disease studies. Data sources for the mental illnesses and addictions used in our study included health administrative data for the province of Ontario, survey data from Statistics Canada and the Centre for Addiction and Mental Health, vital statistics data from the Ontario Office of the Registrar General, and US epidemiologic survey data. RESULTS: The 5 conditions with the highest burden are: major depression, bipolar affective disorder, alcohol use disorders (AUDs), social phobia, and schizophrenia. The burden of depression is double the next highest mental health condition (that is, bipolar affective disorder) and is more than the combined burden of the 4 most common cancers in Ontario. AUDs were the only disease group that had a substantial proportion of burden attributable to early death. The burden estimates for the other conditions were primarily due to disability. CONCLUSIONS: The burden of these conditions in Ontario is as large or larger than other conditions, such as cancer and infectious diseases, owing in large part to the high prevalence, chronicity, and age of onset for most mental disorders and addiction problems. The findings serve as an important baseline for future evaluation of interventions intended to address the burden of mental health and addictions.

Objectif : Le service de Santé publique de l'Ontario et l'Institut pour les sciences évaluatives cliniques ont collaboré pour estimer le fardeau de la maladie attribuable aux trouble mentaux et aux toxicomanies en Ontario. Méthodes : Les années de vie ajustées en fonction de la santé ont servi à estimer le fardeau. Le concept est semblable aux années de vie ajustées en fonction de l'incapacité qui ont servi aux études sur le fardeau mondial de la maladie. Les sources de données sur les maladies mentales et les toxicomanies utilisées étaient notamment des données administratives sur la santé de la province de l'Ontario, des données d'enquête de Statistique Canada et du Centre de toxicomanie et de santé mentale, des données de l'état civil du Bureau du registraire général de l'Ontario, et des données de l'enquête épidémiologique américaine. Résultats : Les 5 affections dont le fardeau est le plus élevé sont : la dépression majeure, le trouble bipolaire affectif, les troubles liés à l'utilisation d'alcool (TUA), la phobie sociale, et la schizophrénie. Le fardeau de la dépression est le double de celui de l'affection mentale la plus proche (c'est-à-dire, le trouble bipolaire affectif) et est plus lourd que le fardeau combiné des 4 cancers les plus répandus en Ontario. Les TUA étaient le seul groupe de maladies dont une proportion substantielle du fardeau était attribuable au décès précoce. Les estimations du fardeau pour les autres affections étaient principalement attribuables à l'incapacité. Conclusions : Le fardeau de ces affections en Ontario est aussi plus lourd que celui d'autres affections, comme le cancer et les maladies infectieuses, ce qui s'explique en grande partie par la prévalence élevée, la chronicité, et l'âge de début de la plupart des troubles mentaux et des problèmes de toxicomanie. Les résultats servent de base importante à l'évaluation future des interventions destinées à aborder le fardeau de la maladie mentale et des toxicomanies.

The impact of infection on population health: results of the Ontario burden of infectious diseases study.

BACKGROUND: Evidence-based priority setting is increasingly important for rationally distributing scarce health resources and for guiding future health research. We sought to quantify the contribution of a wide range of infectious diseases to the overall infectious disease burden in a high-income setting. METHODOLOGY/PRINCIPAL FINDINGS: We used health-adjusted life years (HALYs), a composite measure comprising premature mortality and reduced functioning due to disease, to estimate the burden of 51 infectious diseases and associated syndromes in Ontario using 2005-2007 data. Deaths were estimated from vital statistics data and disease incidence was estimated from reportable disease, healthcare utilization, and cancer registry data, supplemented by local modeling studies and national and international epidemiologic studies. The 51 infectious agents and associated syndromes accounted for 729 lost HALYs, 44.2 deaths, and 58,987 incident cases per 100,000 population annually. The most burdensome infectious agents were: hepatitis C virus, Streptococcus pneumoniae, Escherichia coli, human papillomavirus, hepatitis B virus, human immunodeficiency virus, Staphylococcus aureus, influenza virus, Clostridium difficile, and rhinovirus. The top five, ten, and 20 pathogens accounted for 46%, 67%, and 75% of the total infectious disease burden, respectively. Marked sex-specific differences in disease burden were observed for some pathogens. The main limitations of this study were the exclusion of certain infectious diseases due to data availability issues, not considering the impact of co-infections and co-morbidity, and the inability to assess the burden of milder infections that do not result in healthcare utilization. CONCLUSIONS/SIGNIFICANCE: Infectious diseases continue to cause a substantial health burden in high-income settings such as Ontario. Most of this burden is attributable to a relatively small number of infectious agents, for which many effective interventions have been previously identified. Therefore, these findings should be used to guide public health policy, planning, and research.