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IntroductionDans le cadre de l’approche en santé publique en matière de protection de l’enfance, il est essentiel de recueillir des données sur les enfants placés hors de leur foyer familial afin d’évaluer les tendances à l’échelle de la population, de comprendre les facteurs à l’origine des inégalités sociales et de santé et d’analyser les conséquences pour les enfants et les familles. Nous avons analysé des données administratives provenant de l’ensemble du Canada pour décrire la population des enfants placés hors de leur foyer familial, estimer et comparer les taux de placement hors du foyer familial par province ou territoire, année, sexe ou genre, groupe d’âge et type de placement. MéthodologieNous avons effectué une analyse transversale des données basées sur des dénombrements ponctuels dans toutes les provinces et tous les territoires pour la période 2013-2014 à 2021-2022. Nous avons utilisé des fréquences et des pourcentages pour décrire la population d’enfants (et de jeunes jusqu’à 21 ans) placés hors de leur foyer familial et nous avons estimé les taux globaux et les ratios de taux. RésultatsNous estimons qu’au Canada, 61 104 enfants étaient placés hors de leur foyer familial au 31 mars 2022. Le taux national de placement des enfants hors de leur foyer familial était de 8,24 enfants pour 1 000. Les variations de taux par province et territoire étaient importantes et ont changé au fil du temps. Les taux les plus élevés ont été relevés chez les garçons ainsi que chez les enfants de 1 à 3 ans et chez les jeunes de 16 et 17 ans. Si les familles d’accueil sont restées le type de placement le plus courant, le placement dans la parenté a représenté une part croissante des placements. ConclusionCette analyse a montré que les données administratives sont utilisables pour produire des indicateurs nationaux sur les enfants encadrés par le système de protection de l’enfance au Canada. Ces données sont utilisables aussi pour mesurer les progrès en matière d’équité sociale et de santé pour les enfants et les jeunes du Canada.

IntroductionAs a part of the public health approach to child welfare, data about children placed in out-of-home care are needed to assess population trends, understand drivers of social and health inequities, and examine outcomes for children and families. We analyzed administrative data from Canada to describe the population of children in out-of-home care, and estimate and compare rates of out-of-home care by province/territory, year, sex/gender, age group and placement type. MethodsWe conducted a cross-sectional analysis of point-in-time data from all provinces and territories for the period 2013/2014 to 2021/2022. We used frequencies and percentages to describe the population of children (and youth up to age 21 years) in out-of-home care and estimated overall and stratified rates and rate ratios. ResultsAn estimated 61 104 children in Canada were in out-of-home care on 31 March 2022. The national rate of out-of-home care was 8.24 children per 1000 population. Rate variations by province/territory were substantial and changed over time. Rates were highest among males and children aged 1 to 3 and 16 to 17 years. Foster homes were the most common type of placement, although kinship homes accounted for an increasing share. ConclusionThis analysis demonstrated that administrative data can be used to generate national indicators about children involved in the child welfare system. These data can be used for tracking progress towards health and social equity for children and youth in Canada.

Background: The use of endocrine therapy for early-stage breast cancer, particularly aromatase inhibitor therapy has been associated with an increased risk of osteoporosis and fracture in clinical trials. We sought to validate this observation in real-world practice. Methods: We used health administrative data collected from post-menopausal women (aged ≥66 years) who were diagnosed with breast cancer and started on adjuvant endocrine therapy from 2005 to 2012. Patients were classified by use of either an aromatase inhibitor or tamoxifen and followed until 2017 for a new diagnosis of an osteoporotic fracture. A multivariable analysis using a Cox proportional hazards model was adjusting for age, medical co-morbidities, medication use and duration of endocrine therapy. Results: We identified 12,077 patients of whom 73% were treated with an aromatase inhibitor as compared to 27% with tamoxifen. Our multivariable analysis did not demonstrate any significant difference in the rate of osteoporotic fracture between patients treated with an aromatase inhibitor when compared with tamoxifen [Hazard ratio (HR) = 1.09; 95% confidence interval (CI) = 0.96–1.23, p-value = 0.18]. The 5-year rate of osteoporotic fracture for patients treated with either an aromatase inhibitor or tamoxifen was 7.5% and 6.9%, respectively. A completed sensitivity analysis did observe a decreased risk of fracture associated with tamoxifen usage over time. Conclusion: We could not detect a significant difference in the rate of osteoporotic fracture among patients treated with an aromatase inhibitor versus tamoxifen. Nonetheless, the risk with tamoxifen was numerically lower and significantly decreased when accounting for total duration of endocrine therapy.

Abstract Background The incidence of severe (S-HTG) and very severe hypertriglyceridemia (VS-HTG) among Canadians is unknown. This study aimed to determine the incidence, characteristics, predictors and care patterns for individuals with VS-HTG. Methods Using linked administrative healthcare databases, a population-based cohort study of Ontario adults was conducted to determine incidence of new onset S-HTG (serum triglycerides (TG) > 10–20 mmol/L) and VS-HTG (TG > 20 mmol/L) between 2010 and 2015. Socio-demographic and clinical characteristics of those with VS-HTG were compared to those who had no measured TG value > 3 mmol/L. Univariable and multivariable logistic regression were used to determine predictors for VS-HTG. Healthcare patterns were evaluated for 2 years following first incidence of TG > 20 mmol/L. Results Incidence of S-HTG and VS-HTG in Ontario was 0.16 and 0.027% among 10,766,770 adults ≥18 years and 0.25 and 0.041% among 7,040,865 adults with at least one measured TG, respectively. Predictors of VS-HTG included younger age [odds ratios (OR) 0.64/decade, 95% confidence intervals (CI) 0.62–0.66], male sex (OR 3.83; 95% CI 3.5–4.1), diabetes (OR 5.38; 95% CI 4.93–5.88), hypertension (OR 1.69; 95% CI 1.54–1.86), chronic liver disease (OR 1.71; 95% CI 1.48–1.97), alcohol abuse (OR 2.47; 95% CI 1.90–3.19), obesity (OR 1.49; 95% CI 1.13–1.98), and chronic kidney disease (OR 1.39; 95% CI 1.19–1.63). Conclusion The 5-year incidence of S-HTG and VS-HTG in Canadian adults was 1 in 400 and 1 in 2500, respectively. Males, those with diabetes, obese individuals and those with alcohol abuse are at highest risk for VS-HTG and may benefit from increased surveillance.

Abstract Urban areas have complex thermal distribution. We examined the association between extreme temperature and mortality in urban Ontario, using two temperature data sources: high-resolution and weather station data. We used distributed lag non-linear Poisson models to examine census division-specific temperature–mortality associations between May and September 2005–2012. We used random-effect multivariate meta-analysis to pool results, adjusted for air pollution and temporal trends, and presented risks at the 99th percentile compared to minimum mortality temperature. As additional analyses, we varied knots, examined associations using different temperature metrics (humidex and minimum temperature), and explored relationships using different referent values (most frequent temperature, 75th percentile of temperature distribution). Weather stations yielded lower temperatures across study months. U-shaped associations between temperature and mortality were observed using both high-resolution and weather station data. Temperature–mortality relationships were not statistically significant; however, weather stations yielded estimates with wider confidence intervals. Similar findings were noted in additional analyses. In urban environmental health studies, high-resolution temperature data is ideal where station observations do not fully capture population exposure or where the magnitude of exposure at a local level is important. If focused upon temperature–mortality associations using time series, either source produces similar temperature–mortality relationships.

Background. A community that promotes prosocial behaviors such as organ donor registration or charitable giving could reinforce those behaviors among its residents. Understanding the nature of the relationship between prosocial behaviors at the community level and an individual’s decision to engage in prosocial behavior can help in the targeting of communities with lower rates of prosocial activities. The objective of this study was to assess if the likelihood that an individual is a registered deceased organ donor in Ontario, Canada, is associated with community-level charitable giving. Methods. This cross-sectional population-based study involved individual- and community-level data from multiple administrative data sources from ICES and Statistics Canada. To assess the unadjusted and adjusted effects of community-level charitable giving on organ donor registration, we ran 4 sequential multilevel random intercept logistic regression models and used a number of individual- and community-level confounding factors. Results. Statistically significant between-community variance (0.322, SE = 0.020) and interclass correlation coefficient (0.089) suggest that substantial variation in organ donor registration can be attributed to the between-community differences. Community-level charitable giving was correlated with organ donor registration (odds ratios, 1.351; 95% confidence intervals, 1.245-1.466) in the model containing only individual-level confounding factors. However, this relationship became statistically nonsignificant (odds ratios, 0.982; 95% confidence intervals, 907-1.063) when a series of community-level confounding factors were added to the model. Among these confounding factors, individuals’ immigration status and community-level ethnic/immigrant concentration had the most pronounced association with organ donor registration. Conclusion. The identification of the characteristics of populations and communities with low organ donor registration rates may inform future initiatives in the area of organ donation awareness and promotion to make them more effective among those particular groups.

In Ontario, despite the increasing prevalence of Parkinson's disease (PD), barriers to access-to-care for people with Parkinson's disease (PwP) and their caregivers are not well understood. The objective of this study is to examine spatial patterns of health care utilization among PwP and identify factors associated with PD-related health care utilization of individuals in Ontario. We employed a retrospective, population-based study design involving administrative health data to identify PwP as of March 31, 2018 (N = 35,482) using a previously validated case definition. An enhanced 2-step floating catchment area method was used to measure spatial accessibility to PD care and a descriptive spatial analysis was conducted to describe health service utilization by geographic area and specialty type. Negative binomial regression models were then conducted to identify associated geographic, socioeconomic, comorbidity and demographic factors. There was marked spatial variability in PD-related service utilization, with neurology and all provider visits being significantly higher in urban areas (CMF>1.20; p1.20; p

BackgroundChildhood food insecurity has been associated with prevalent asthma in cross-sectional studies. Little is known about the relationship between food insecurity and incident asthma.MethodsWe used administrative databases linked with the Canadian Community Health Survey, to conduct a retrospective cohort study of children ResultsAmong the 27,746 included children, 5.1% lived in food insecure households. Over a median of 8.34 years, the incidence of asthma was 7.33/1000 person-years (PY) among food insecure children and 5.91/1000 PY among food secure children (unadjusted hazard ratio [HR] 1.24, 95% CI 1.00 to 1.54, p = 0.051). In adjusted analyses associations were similar (HR 1.16, 95% CI 0.91 to 1.47, p = 0.24 adjusted for clinical risk factors, HR 1.24, 95% CI 0.97 to 1.60, p = 0.09 adjusted for clinical/socioeconomic factors). Associations did not qualitatively change by HFSSM respondent type, severity of food insecurity, and age of asthma diagnosis. There was no evidence of interaction in our models.ConclusionsFood insecure children have numerous medical and social challenges. However, in this large population-based study, we did not observe that childhood food insecurity was associated with an increased risk of incident asthma when adjusted for important clinical and socioeconomic confounders.

The purpose of this study was to examine the spatial variability of asthma outcomes in Ontario, Canada and broad environmental factors that contribute to this variability. Age-/sex-standardized asthma prevalence and health services use rates (2003-2013) were obtained from a provincial cohort of asthma patients. Employing an ecological-level study design, descriptive and Bayesian spatial regression analyses were used to examine patterns of asthma outcomes and their relationship to physical environment, socioeconomic environment and healthcare factors. Significant spatial variation in asthma outcomes was found between southern urban/suburban areas and northern/rural areas. Rurality was found to have a substantial effect on all asthma outcomes, except hospitalizations. For example, the most rural areas were associated with lower asthma prevalence and physician visits [RR = 0.708, 95% credible interval (CI): 0.636-0.795 and RR = 0.630, 95% CI: 0.504-0.758, respectively], and with higher ED visits (RR = 1.818, 95% CI: 1.194-2.858), when compared to urban areas. Strong associations were also found between material deprivation and ED visits (RR = 1.559, 95% CI: 1.358-1.737) and hospitalizations (RR = 1.259, 95% CI: 1.143-1.374). Associations between asthma outcomes and environmental variables such as air pollution and temperature were also found. Findings can be expected to inform the development of improved public health strategies, which take into account local environmental, socioeconomic and healthcare characteristics.