OBJECTIVES: To compare health service use and clinical outcomes for patients with and without direct discharge to home (DDH) from ICUs in Ontario. DESIGN: Population-based, observational, cohort study using propensity scoring to match patients who were DDH to those not DDH and a preference-based instrumental variable (IV) analysis using ICU-level DDH rate as the IV. SETTING: ICUs in Ontario. PATIENTS: Patients discharged home from a hospitalization either directly or within 48 hours of care in an ICU between April 1, 2015, and March 31, 2017. INTERVENTION: DDH from ICU. MEASUREMENTS AND MAIN RESULTS: Among 76,737 patients in our cohort, 46,859 (61%) were DDH from the ICU. In the propensity matched cohort, the odds for our primary outcome of hospital readmission or emergency department (ED) visit within 30 days were not significantly different for patients DDH (odds ratio [OR], 1.00; 95% CI, 0.96–1.04), and there was no difference in mortality at 90 days for patients DDH (OR, 1.08; 95% CI, 0.97–1.21). The effect on hospital readmission or ED visits was similar in the subgroup of patients discharged from level 2 (OR, 0.98; 95% CI, 0.92–1.04) and level 3 ICUs (OR, 1.02; 95% CI, 0.96–1.09) and in the subgroups with cardiac conditions (OR, 1.03; 95% CI, 0.96–1.12) and noncardiac conditions (OR, 0.98; 95% CI, 0.94–1.03). Similar results were obtained in the IV analysis (coefficient for hospital readmission or ED visit within 30 d = –0.03 ± 0.03 (se); p = 0.3). CONCLUSIONS: There was no difference in outcomes for patients DDH compared with ward transfer prior to discharge when two approaches were used to minimize confounding within a large health systemwide observational cohort. We did not evaluate how patients are selected for DDH. Our results suggest that with careful patient selection, this practice might be feasible for routine implementation to ensure efficient and safe use of limited healthcare resources.

Objective: To examine whether sociodemographic characteristics and health care utilization are associated with receiving deep brain stimulation (DBS) surgery for Parkinson’s disease (PD) in Ontario, Canada. Methods: Using health administrative data, we identified a cohort of individuals aged 40 years or older diagnosed with incident PD between 1995 and 2009. A case-control study was used to examine whether select factors were associated with DBS for PD. Patients were classified as cases if they underwent DBS surgery at any point 1-year after cohort entry until December 31, 2016. Conditional logistic regression modeling was used to estimate the adjusted odds of DBS surgery for sociodemographic and health care utilization indicators. Results: A total of 46,237 individuals with PD were identified, with 543 (1.2%) receiving DBS surgery. Individuals residing in northern Ontario were more likely than southern patients to receive DBS surgery [adjusted odds ratio (AOR) = 2.23, 95% confidence interval (CI) = 1.15–4.34]; however, regional variations were not observed after accounting for medication use among older adults (AOR = 1.04, 95% CI = 0.26–4.21). Patients living in neighborhoods with the highest concentration of visible minorities were less likely to receive DBS surgery compared to patients living in predominantly white neighborhoods (AOR = 0.27, 95% CI = 0.16–0.46). Regular neurologist care and use of multiple PD medications were positively associated with DBS surgery. Conclusions: Variations in use of DBS may reflect differences in access to care, specialist referral pathways, health-seeking behavior, or need for DBS. Future studies are needed to understand drivers of potential disparities in DBS use.

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Background and Hypothesis Although migration is a well-established risk factor for psychotic disorders, less is known about factors that modify risk within migrant groups. We sought to assess whether socio-demographic, migration-related, and post-migration factors were associated with the risk of non-affective psychotic disorders (NAPD) among first-generation migrants, and to compare with estimates for common mental disorders (CMD) to explore specificity of the effect. Study Design We constructed a retrospective cohort of first-generation migrants to Ontario, Canada using linked population-based health administrative data (1992–2011; n = 1 964 884). We identified NAPD and CMD using standardized algorithms. We used modified Poisson regression models to estimate incidence rate ratios (IRR) for each factor to assess its effect on the risk of each outcome. Study Results Nearly 75% of cases of NAPD met the case definition for a CMD prior to the first diagnosis of psychosis. Our findings suggest that younger age at migration, male sex, being of African-origin, and not having proficiency in national languages had a specificity of effect for a higher risk of NAPD. Among migrants who were over 19 years of age at landing, higher pre-migratory education and being married/common-law at landing showed specificity of effect for a lower risk of NAPD. Migrant class, rurality of residence after landing, and post-migration neighborhood-level income showed similar effects across disorders. Conclusions Our findings help identify high-risk groups to target for intervention. Identifying factors that show specific effects for psychotic disorder, rather than mental disorders more broadly, are important for informing prevention and early intervention efforts.

Aim: To examine the association between childhood food insecurity and incident diabetes. Methods: Using health administrative databases linked to the Canadian Community Health Survey, we conducted a population-based cohort study of children aged <18 years from Ontario, Canada. Children without diabetes who had a household response to the Canadian Community Health Survey Household Food Security Survey Module were followed for a median of 9.5 years for incident diabetes. Multivariable Cox proportional hazards models were used to examine the association between childhood food insecurity and incident diabetes, adjusted sequentially for important clinical and socio-economic risk factors. Results: We included 34 042 children, of whom 5.3% lived in food-insecure households. There were 184 new cases of diabetes, diagnosed at a median age of 16 and 18.5 years in food-secure and food-insecure children, respectively. In unadjusted analysis, childhood food insecurity was associated with an increased risk of incident diabetes (hazard ratio 1.69, 95% CI 1.01 to 2.81). When adjusted for clinical and socioeconomic confounders, the relationship was no longer statistically significant (hazard ratio 1.55, 95% CI 0.91 to 2.66, adjusted for clinical confounders; hazard ratio 1.30, 95% CI 0.72 to 2.37, adjusted for clinical/socio-economic confounders). Our results remained robust in sensitivity analyses. Conclusions: Although food-insecure children are a medically and socially vulnerable population, they do not appear to be at increased risk of incident diabetes over a median of 9.5 years.