Examining the Relationship Between Workplace Industry and COVID-19 Infection: A Cross-sectional Study of Canada's Largest Rapid Antigen Screening Program.

OBJECTIVES: To control virus spread while keeping the economy open, this study aimed to identify individuals at increased risk of COVID-19 transmission in the workplace using rapid antigen screening data. METHODS: Among adult participants in a large Canadian rapid antigen screening program (January 2021-March 2022), we examined screening, personal, and workplace characteristics and conducted logistic regressions, adjusted for COVID-19 wave, screening frequency and location, role, age group, and geography. RESULTS: Among 145,814 participants across 2707 worksites, 6209 screened positive at least once. Workers in natural resources (odds ratio [OR] = 2.1 [1.73-2.55]), utilities (OR = 1.67 [1.38-2.03]), construction (OR = 1.35 [1.06-1.71]), and transportation/warehousing (OR = 1.32 [1.12-1.56]) had increased odds of screening positive; workers in education/health (OR = 0.62 [0.52-0.73]), leisure/hospitality (OR = 0.71 [0.56-0.90]), and finance (OR = 0.84 [0.71-0.99]) had lesser odds of screening positive, compared with professional/business services. CONCLUSIONS: Certain industries involving in-person work in close quarters are associated with elevated COVID-19 transmission. Continued reliance on rapid screening in these sectors is warranted.

E-Mental Health Services in Canada: Can They Close the Access Gap?

With significant unmet needs for mental healthcare in Canada, there is a growing interest in e-mental health (e-MH) services to meet gaps in access. While the policy window appears to be open, it is unclear how best to implement e-MH services due to health system barriers that create unmet needs in the first place. We explore the financing, organization and delivery of Canadian mental health services and discuss the promise of e-MH services for alleviating access barriers, highlighting increased policy attention during the COVID-19 pandemic. We consider how evidence-based e-MH services have successfully scaled in other publicly funded healthcare systems and note potential issues in the Canadian context.

Community structured model for vaccine strategies to control COVID19 spread: A mathematical study.

Initial efforts to mitigate the COVID-19 pandemic have relied heavily on non-pharmaceutical interventions (NPIs), including physical distancing, hand hygiene, and mask-wearing. However, an effective vaccine is essential to containing the spread of the virus. We developed a compartmental model to examine different vaccine strategies for controlling the spread of COVID-19. Our framework accounts for testing rates, test-turnaround times, and vaccination waning immunity. Using reported case data from the city of Toronto, Canada between Mar-Dec, 2020 we defined epidemic phases of infection using contact rates as well as the probability of transmission upon contact. We investigated the impact of vaccine distribution by comparing different permutations of waning immunity, vaccine coverage and efficacy throughout various stages of NPI's relaxation in terms of cases and deaths. The basic reproduction number is also studied. We observed that widespread vaccine coverage substantially reduced the number of cases and deaths. Under phases with high transmission, an early or late reopening will result in new resurgence of the infection, even with the highest coverage. On the other hand, under phases with lower transmission, 60% of coverage is enough to prevent new infections. Our analysis of R0 showed that the basic reproduction number is reduced by decreasing the tests turnaround time and transmission in the household. While we found that household transmission can decrease following the introduction of a vaccine, public health efforts to reduce test turnaround times remain important for virus containment.

Mathematical modelling of vaccination rollout and NPIs lifting on COVID-19 transmission with VOC: a case study in Toronto, Canada.

BACKGROUND: Since December 2020, public health agencies have implemented a variety of vaccination strategies to curb the spread of SARS-CoV-2, along with pre-existing Nonpharmaceutical Interventions (NPIs). Initial strategies focused on vaccinating the elderly to prevent hospitalizations and deaths, but with vaccines becoming available to the broader population, it became important to determine the optimal strategy to enable the safe lifting of NPIs while avoiding virus resurgence. METHODS: We extended the classic deterministic SIR compartmental disease-transmission model to simulate the lifting of NPIs under different vaccine rollout scenarios. Using case and vaccination data from Toronto, Canada between December 28, 2020, and May 19, 2021, we estimated transmission throughout past stages of NPI escalation/relaxation to compare the impact of lifting NPIs on different dates on cases, hospitalizations, and deaths, given varying degrees of vaccine coverages by 20-year age groups, accounting for waning immunity. RESULTS: We found that, once coverage among the elderly is high enough (80% with at least one dose), the main age groups to target are 20-39 and 40-59 years, wherein first-dose coverage of at least 70% by mid-June 2021 is needed to minimize the possibility of resurgence if NPIs are to be lifted in the summer. While a resurgence was observed for every scenario of NPI lifting, we also found that under an optimistic vaccination coverage (70% coverage by mid-June, along with postponing reopening from August 2021 to September 2021) can reduce case counts and severe outcomes by roughly 57% by December 31, 2021. CONCLUSIONS: Our results suggest that focusing the vaccination strategy on the working-age population can curb the spread of SARS-CoV-2. However, even with high vaccination coverage in adults, increasing contacts and easing protective personal behaviours is not advisable since a resurgence is expected to occur, especially with an earlier reopening.

Efficacy of a "stay-at-home" policy on SARS-CoV-2 transmission in Toronto, Canada: a mathematical modelling study.

BACKGROUND: Globally, nonpharmaceutical interventions for COVID-19, including stay-at-home policies, limitations on gatherings and closure of public spaces, are being lifted. We explored the effect of lifting a stay-at-home policy on virus resurgence under different conditions. METHODS: Using confirmed case data from Toronto, Canada, between Feb. 24 and June 24, 2020, we ran a compartmental model with household structure to simulate the impact of the stay-at-home policy considering different levels of compliance. We estimated threshold values for the maximum number of contacts, probability of transmission and testing rates required for the safe reopening of the community. RESULTS: After the implementation of the stay-at-home policy, the contact rate outside the household fell by 39% (from 11.58 daily contacts to 7.11). The effective reproductive number decreased from 3.56 (95% confidence interval [CI] 3.02-4.14) on Mar. 12 to 0.84 (95% CI 0.79-0.89) on May 6. Strong adherence to stay-at-home policies appeared to prevent SARS-CoV-2 resurgence, but extending the duration of stay-at-home policies beyond 2 months had little added effect on cumulative cases (25 958 for 65 days of a stay-at-home policy and 23 461 for 95 days, by July 2, 2020) and deaths (1404 for 65 days and 1353 for 95 days). To avoid a resurgence, the average number of contacts per person per day should be kept below 9, with strict nonpharmaceutical interventions in place. INTERPRETATION: Our study demonstrates that the stay-at-home policy implemented in Toronto in March 2020 had a substantial impact on mitigating the spread of SARS-CoV-2. In the context of the early pandemic, before the emergence of variants of concern, reopening schools and workplaces was possible only with other nonpharmaceutical interventions in place.

Describing the linkage between administrative social assistance and health care databases in Ontario, Canada.

Background: The linkage of records across administrative databases has become a powerful tool to increase information available to undertake research and analytics in a privacy protective manner. Objective: The objective of this paper was to describe the data integration strategy used to link the Ontario Ministry of Children, Community and Social Services (MCCSS)-Social Assistance (SA) database with administrative health care data. Methods: Deterministic and probabilistic linkage methods were used to link the MCCSS-SA database (2003-2016) to the Registered Persons Database, a population registry containing data on all individuals issued a health card number in Ontario, Canada. Linkage rates were estimated, and the degree of record linkage and representativeness of the dataset were evaluated by comparing socio-demographic characteristics of linked and unlinked records. Results: There were a total of 2,736,353 unique member IDs in the MCCSS-SA database from the 1st January 2003 to 31st December 2016; 331,238 (12.1%) were unlinked (linkage rate = 87.9%). Despite 16 passes, most record linkages were obtained after 2 deterministic (76.2%) and 14 probabilistic passes (11.7%). Linked and unlinked samples were similar for most socio-demographic characteristics (i.e., sex, age, rural dwelling), except migrant status (non-migrant versus migrant) (standardized difference of 0.52). Linked and unlinked records were also different for SA program-specific characteristics, such as social assistance program, Ontario Works and Ontario Disability Support Program (standardized difference of 0.20 for each), data entry system, Service Delivery Model Technology only and both Service Delivery Model Technology and Social Assistance Management System (standardized difference of 0.53 and 0.52, respectively), and months on social assistance (standardized difference of 0.43). Conclusions: Additional techniques to account for sub-optimal linkage rates may be required to address potential biases resulting from this data linkage. Nonetheless, the linkage between administrative social assistance and health care data will provide important findings on the social determinants of health.

School and community reopening during the COVID-19 pandemic: a mathematical modelling study.

Operating schools safely during the COVID-19 pandemic requires a balance between health risks and the need for in-person learning. Using demographic and epidemiological data between 31 July and 23 November 2020 from Toronto, Canada, we developed a compartmental transmission model with age, household and setting structure to study the impact of schools reopening in September 2020. The model simulates transmission in the home, community and schools, accounting for differences in infectiousness between adults and children, and accounting for work-from-home and virtual learning. While we found a slight increase in infections among adults (2.2%) and children (4.5%) within the first eight weeks of school reopening, transmission in schools was not the key driver of the virus resurgence in autumn 2020. Rather, it was community spread that determined the outbreak trajectory, primarily due to increases in contact rates among adults in the community after school reopening. Analyses of cross-infection among households, communities and schools revealed that home transmission is crucial for epidemic progression and safely operating schools, while the degree of in-person attendance has a larger impact than other control measures in schools. This study suggests that safe school reopening requires the strict maintenance of public health measures in the community.

High-Intensity vs Low-Intensity Knowledge Translation Interventions for Surgeons and Their Association With Process and Outcome Measures Among Patients Undergoing Rectal Cancer Surgery.

Importance: Surgeon-directed knowledge translation (KT) interventions for rectal cancer surgery are designed to improve patient measures, such as rates of permanent colostomy and in-hospital mortality, and to improve survival. Objective: To evaluate the association of sustained, iterative, integrated KT rectal cancer surgery interventions directed at all surgeons with process and outcome measures among patients undergoing rectal cancer surgery in a geographic region. Design, Setting, and Participants: This quality improvement study used administrative data from patients who underwent rectal cancer surgery from April 1, 2004, to March 31, 2015, in 14 health regions in Ontario, Canada. Follow-up was completed on March 31, 2020. Exposures: Surgeons in 2 regions were offered intensive KT interventions, including annual workshops, audit and feedback sessions, and, in 1 of the 2 regions, operative demonstrations, from 2006 to 2012 (high-intensity KT group). Surgeons in the remaining 12 regions did not receive these interventions (low-intensity KT group). Main Outcomes and Measures: Among patients undergoing rectal cancer surgery, proportions of preoperative pelvic magnetic resonance imaging (MRI), preoperative radiotherapy, and type of surgery were evaluated, as were in-hospital mortality and overall survival. Logistic regression models with an interaction term between group and year were used to assess whether process measures and in-hospital mortality differed between groups over time. Results: A total of 15 683 patients were included in the analysis (10 052 [64.1%] male; mean [SD] age, 65.9 [12.1] years), of whom 3762 (24.0%) were in the high-intensity group (2459 [65.4%] male; mean [SD] age, 66.4 [12.0] years) and 11 921 (76.0%) were in the low-intensity KT group (7593 [63.7%] male; mean [SD] age, 65.7 [12.1] years). A total of 1624 patients (43.2%) in the high-intensity group and 4774 (40.0%) in the low-intensity KT group underwent preoperative MRI (P < .001); 1321 (35.1%) and 4424 (37.1%), respectively, received preoperative radiotherapy (P = .03); and 967 (25.7%) and 2365 (19.8%), respectively, received permanent stoma (P < .001). In-hospital mortality was 1.6% (59 deaths) in the high-intensity KT group and 2.2% (258 deaths) in the low-intensity KT group (P = .02). Differences remained significant in multivariable models only for permanent stoma (odds ratio [OR], 1.67; 95% CI, 1.24-2.24; P < .001) and in-hospital mortality (OR, 0.67; 95% CI, 0.51-0.87; P = .003). In both groups over time, significant increases in the proportion of patients undergoing preoperative MRI (from 6.3% to 67.1%) and preoperative radiotherapy (from 16.5% to 44.7%) occurred, but there were no significant changes for permanent stoma (25.4% to 25.3% in the high-intensity group and 20.0% to 18.3% in the low-intensity group) and in-hospital mortality (0.8% to 0.8% in the high-intensity group and 2.2% to 1.8% in the low-intensity group). Time trends were similar between groups for measures that did or did not change over time. Patient overall survival was similar between groups (hazard ratio, 1.00; 95% CI, 0.90-1.11; P = .99). Conclusions and Relevance: In this quality improvement study, between-group differences were found in only 2 measures (permanent stoma and in-hospital mortality), but these differences were stable over time. High-intensity KT group interventions were not associated with improved patient measures and outcomes. Proper evaluation of KT or quality improvement interventions may help avoid opportunity costs associated with ineffective strategies.

Lung Cancer Inequalities in Stage of Diagnosis in Ontario, Canada.

Lung cancer is the most common cancer and cause of cancer death in Canada, with approximately 50% of cases diagnosed at stage IV. Sociodemographic inequalities in lung cancer diagnosis have been documented, but it is not known if inequalities exist with respect to immigration status. We used multiple linked health-administrative databases to create a cohort of Ontarians 40-105 years of age who were diagnosed with an incident lung cancer between 1 April 2012 and 31 March 2017. We used modified Poisson regression with robust standard errors to examine the risk of diagnosis at late vs. early stage among immigrants compared to long-term residents. The fully adjusted model included age, sex, neighborhood-area income quintile, number of Aggregated Diagnosis Group (ADG) comorbidities, cancer type, number of prior primary care visits, and continuity of care. Approximately 62% of 38,788 people with an incident lung cancer from 2012 to 2017 were diagnosed at a late stage. Immigrants to the province were no more likely to have a late-stage diagnosis than long-term residents (63.5% vs. 62.0%, relative risk (RR): 1.01 (95% confidence interval (CI): 0.99-1.04), adjusted relative risk (ARR): 1.02 (95% CI: 0.99-1.05)). However, in fully adjusted models, people with more comorbidities were less likely to have a late-stage diagnosis (adjusted relative risk (ARR): 0.82 (95% CI: 0.80-0.84) for those with 10+ vs. 0-5 ADGs). Compared to adenocarcinoma, small cell carcinoma was more likely to be diagnosed at a late stage (ARR: 1.29; 95% CI: 1.27-1.31), and squamous cell (ARR: 0.89; 95% CI: 0.87-0.91) and other lung cancers (ARR: 0.93; 95% CI: 0.91-0.94) were more likely to be diagnosed at an early stage. Men were also slightly more likely to have late-stage diagnosis in the fully adjusted model (ARR: 1.08; 95% CI: 1.05-1.08). Lung cancer in Ontario is a high-fatality cancer that is frequently diagnosed at a late stage. Having fewer comorbidities and being diagnosed with small cell carcinoma was associated with a late-stage diagnosis. The former group may have less health system contact, and the latter group has the lung cancer type most closely associated with smoking. As lung cancer screening programs start to be implemented across Canada, targeted outreach to men and to smokers, increasing awareness about screening, and connecting every Canadian with primary care should be system priorities.

Shorter Diagnosis-to-Treatment Interval in Diffuse Large B-Cell Lymphoma is Associated With Inferior Overall Survival in a Large, Population-Based Registry.

BACKGROUND: Because of prolonged screening requirements, patient and time-dependent selection have been proposed as potential biases in clinical trials. The screening process may exclude patients with a need for emergent treatment (and a short period from diagnosis to treatment initiation [DTI]). We explored the impact of DTI on overall survival (OS) in a population-based cohort of patients with diffuse large B-cell lymphoma (DLBCL). PATIENTS AND METHODS: Using population-based administrative databases in Ontario, Canada, we identified adults aged ≥18 years with DLBCL treated with rituximab-based chemotherapy for curative intent between January 2005 and December 2015. Cox regression and multivariable analyses were presented to evaluate the impact of time from DTI on OS, controlling for relevant covariates. RESULTS: We identified 9,441 patients with DLBCL in Ontario; median age was 66 years, 53.6% were male, median number of comorbidities (Johns Hopkins aggregated diagnosis groups) was 10 (interquartile range [IQR], 8-13), and median DTI was 37 days (IQR, 22-61). Between treatment initiation and study end, 43% of patients died (median OS, 1 year; IQR, 0.4-2.8 years). Shorter DTI was a significant predictor of mortality (P<.001). Compared with the shortest DTI period of 0-18 days, those who commenced therapy at 19-29 days (hazard ratio [HR], 0.75; 95% CI, 0.68-0.84), 30-41 days (HR, 0.70; 95% CI, 0.63-0.78), 42-57 days (HR, 0.52; 95% CI, 0.46-0.58), and 58-180 days (HR, 0.52; 95% CI, 0.47-0.58) had improved survival. Increasing age (HR, 1.03; 95% CI, 1.03-1.04), male sex (HR, 1.23; 95% CI, 1.14-1.32), and increasing number of comorbidities (HR, 1.12; 95% CI, 1.11-1.13) were associated with inferior survival. CONCLUSIONS: Among patients with DLBCL, shorter DTI was associated with inferior OS. Therefore, DTI may represent a surrogate marker for aggressive biology. Clinical trials with lengthy screening periods are likely creating a time-dependent patient selection bias.

Mortality among patients with frequent emergency department use for alcohol-related reasons in Ontario: a population-based cohort study.

BACKGROUND: Little is known about the risk of death among people who visit emergency departments frequently for alcohol-related reasons, including whether mortality risk increases with increasing frequency of visits. Our primary objective was to describe the sociodemographic and clinical characteristics of this high-risk population and examine their 1-year overall mortality, premature mortality and cause of death as a function of emergency department visit frequency in Ontario, Canada. METHODS: We conducted a population-based retrospective cohort study using linked health administrative data (Jan. 1, 2010, to Dec. 31, 2016) in Ontario for people aged 16-105 years who made at least 2 emergency department visits for mental or behavioural disorders due to alcohol within 1 year. We subdivided the cohort based on visit frequency (2, 3 or 4, or ≥ 5). The primary outcome was 1-year mortality, adjusted for age, sex, income, rural residence and presence of comorbidities. We examined premature mortality using years of potential life lost (YPLL). RESULTS: Of the 25 813 people included in the cohort, 17 020 (65.9%) had 2 emergency department visits within 1 year, 5704 (22.1%) had 3 or 4 visits, and 3089 (12.0%) had 5 or more visits. Males, people aged 45-64 years, and those living in urban centres and lower-income neighbourhoods were more likely to have 3 or 4 visits, or 5 or more visits. The all-cause 1-year mortality rate was 5.4% overall, ranging from 4.7% among patients with 2 visits to 8.8% among those with 5 or more visits. Death due to external causes (e.g., suicide, accidents) was most common. The adjusted mortality rate was 38% higher for patients with 5 or more visits than for those with 2 visits (adjusted hazard ratio 1.38, 95% confidence interval 1.19-1.59). Among 25 298 people aged 16-74 years, this represented 30 607 YPLL. INTERPRETATION: We observed a high mortality rate among relatively young, mostly urban, lower-income people with frequent emergency department visits for alcohol-related reasons. These visits are opportunities for intervention in a high-risk population to reduce a substantial mortality burden.

Correction: Variability in patient sociodemographics, clinical characteristics, and healthcare service utilization among 107,302 treatment seeking smokers in Ontario: A cross-sectional comparison.

[This corrects the article DOI: 10.1371/journal.pone.0235709.].

Deconstructing The Rise In Mental Health-Related ED Visits Among Children And Youth In Ontario, Canada.

Mental illness is a leading cause of disability among youth. In Ontario, Canada, rates of mental health or addiction-related emergency department (ED) visits continue to rise in children and youth; however, it is unclear what is driving this change. We deconstructed this trend by sociodemographic and clinical characteristics, using linked health administrative data sets. Mental health or addiction-related ED visit rates increased by 89.1 percent between 2006 and 2017, with the greatest rise observed for those ages 14-21, high-acuity cases, and anxiety and mood disorders. We observed a significantly sharp increase after 2009, when several socioenvironmental changes occurred, including the emergence of social media and the Great Recession. Our findings of greater numbers of teenagers and young adults experiencing mental health problems and a shift in acuity and diagnoses have important implications for both ED staffing and outpatient mental illness prevention efforts. Further research is needed to examine whether better case management, care coordination, and after-hours services will help reverse these trends.

Variability in patient sociodemographics, clinical characteristics, and healthcare service utilization among 107,302 treatment seeking smokers in Ontario: A cross-sectional comparison.

BACKGROUND: Since 2005, the Smoking Treatment for Ontario Patients (STOP) program has provided smoking cessation treatment of varying form and intensity to smokers through 11 distinct treatment models, either in-person at partnering healthcare organizations or remotely via web or telephone. We aimed to characterize the patient populations reached by different treatment models. METHODS: We linked self-report data to health administrative databases to describe sociodemographics, physical and mental health comorbidity, healthcare utilization and costs. Our sample consisted of 107,302 patients who enrolled between 18Oct2005 and 31Mar2016, across 11 models operational during different time periods. RESULTS: Patient populations varied on sociodemographics, comorbidity burden, and healthcare usage. Enrollees in the Web-based model were youngest (median age: 39; IQR: 29-49), and enrollees in primary care-based Family Health Teams were oldest (median: 51; IQR: 40-60). Chronic Obstructive Pulmonary Disease and hypertension were the most common physical health comorbidities, twice as prevalent in Family Health Teams (32.3% and 30.8%) than in the direct-to-smoker (Web and Telephone) and Pharmacy models (13.5%-16.7% and 14.7%-17.7%). Depression, the most prevalent mental health diagnosis, was twice as prevalent in the Addiction Agency (52.1%) versus the Telephone model (25.3%). Median healthcare costs in the two years up to enrollment ranged from $1,787 in the Telephone model to $9,393 in the Addiction Agency model. DISCUSSION: While practitioner-mediated models in specialized and primary care settings reached smokers with more complex healthcare needs, alternative settings appear better suited to reach younger smokers before such comorbidities develop. Although Web and Telephone models were expected to have fewer barriers to access, they reached a lower proportion of patients in rural areas and of lower socioeconomic status. Findings suggest that in addition to population-based strategies, embedding smoking cessation treatment into existing healthcare settings that reach patient populations with varying disparities may enhance equitable access to treatment.

Discharge and post-discharge outcomes of psychiatric inpatients with a lifetime history of exposure to interpersonal trauma: A population-based study.

OBJECTIVE: To examine discharge and post-discharge outcomes for psychiatric inpatients with a history of exposure to physical, sexual, or emotional trauma. METHODS: In this population-based cohort study using health-administrative data, adult psychiatric inpatients in Ontario, Canada (2009-2016) with and without self-reported lifetime exposure to interpersonal trauma were compared on their likelihood of: discharge against medical advice; post-discharge outpatient follow-up; and post-discharge emergency department (ED) visits, rehospitalization, deliberate self-harm and suicide. Modified Poisson regressions generated relative risks (aRR) and 95% confidence intervals (CI), adjusted for age, sex, income, medical comorbidities, and psychiatric diagnosis. RESULTS: Psychiatric inpatients with a history of interpersonal trauma (n = 50,832/160,436, 31.7%) were at elevated risk for discharge against medical advice (5.6% vs. 4.6%; aRR = 1.27, 1.21-1.33), and for 1-year post-discharge psychiatric ED visits (31.0% vs. 28.3%, aRR = 1.04, 1.02-1.06), and deliberate self-harm (5.5% vs. 3.7%, aRR = 1.30, 1.23-1.36). Post-discharge 30-day follow-up with primary care was slightly more common among those with a trauma history (37.6% vs. 34.5%, aRR = 1.06, 1.04-1.08); psychiatrist follow-up was less common (35.1% vs. 37.1%, aRR = 0.87, 0.86-0.89). Elevations in risk were observed for those with primary diagnoses of psychotic, mood and anxiety disorders, but not for those with a primary diagnosis of substance-related disorders. Risk elevations were specifically observed in those without a diagnosis of post-traumatic stress disorder. CONCLUSION: Implementing supports and services during and after inpatient hospitalization that take into account a history of interpersonal trauma may help reduce certain undesirable discharge and post-discharge outcomes in this slightly higher-risk group.

Statin and cyclooxygenase-2 inhibitors improve survival in newly diagnosed diffuse large B-cell lymphoma: a large population-based study of 4913 subjects.

Preclinical data suggests anti-lymphoma potential for statins, metformin and cyclooxygenase-2 (COX-2) inhibitors. We performed a retrospective population-based study of all adults aged ≥66 years diagnosed with diffuse large B-cell lymphoma (DLBCL) or transformed lymphoma treated with a rituximab containing regimen, between 2005 and 2015 in Ontario, Canada. Using administrative databases, we assessed the impact of medication exposures, prior to chemo-immunotherapy, on lymphoma survival. Cox regression analyses, controlling for sociodemographic factors and comorbidities, examined the relationship between medication exposure and survival. In total, 4913 patients were treated with curative intent (median age 75 years, 51% male) and 52·2% died at a median of 1 year from treatment initiation (67% due to DLBCL). In the year prior to commencing treatment, 45·7% received statins, 16·3% metformin, and 25·0% a COX-2 inhibitor. Adjusting for confounders, exposure to statin and COX-2 inhibitors prior to chemo-immunotherapy independently conferred a survival advantage: statin exposure for 30 days (hazard ratio [HR] 0·97, 95% confidence interval [CI] 0·96-0·98), 180 days (HR 0·84, 95% CI 0·80-0·89) and 365 days (HR 0·71, 95% CI 0·63-0·79) and COX-2 inhibitor exposure for 30 days (HR 0·95, 95% CI 0·95-0·98), 180 days (HR 0·76, 95% CI 0·66-0·86) and 365 days (HR 0·57, 95% CI 0·43-0·74). Metformin had no significant impact. This population-based study found a dose-related survival benefit of exposure to statins and COX-2 inhibitors prior to chemo-immunotherapy for newly diagnosed DLBCL.

Acute and outpatient service utilisation prior to, during, and following enrolment in community-based mental health treatment among children and youth in Central Ontario: A proof of concept for cross-sectoral data linkage.

AIM: Given the fragmentation of mental health and addictions (MHA) services for children and youth, comprehensive data on utilisation patterns are lacking. We sought to describe MHA-related service use across the community, acute and outpatient sectors. METHODS: We used linked health-administrative data sets to identify a cohort of individuals aged <18 who received MHA treatment in a large community organisation in Ontario, Canada between 1 April 2007 and 31 March 2012. We described their socio-demographic characteristics, examined their MHA-related concurrent service use in acute care and outpatient physician settings (primary care providers, paediatricians and psychiatrists), and compared service utilisation prior to, during and following enrolment using Poisson regressions. RESULTS: Among 7285 children and youth receiving community MHA treatment, there were 481 concurrent MHA-related emergency department visits, 173 hospitalisations and 12140 outpatient physician visits. The average age at enrolment was 10.5 years, and 64% of clients were enrolled for ≥3 months. MHA-related emergency department use significantly declined from 1 year prior, compared to 1 year following receipt of community MHA treatment (112 vs. 82 visits per 1000 person-years, P < 0.001), particularly in females, ages 10-14, those living in higher-income neighbourhoods and urban areas, and those with anxiety disorders. MHA hospitalisations also declined (45 vs. 32, P < 0.001), while outpatient physician visits increased (1750 vs. 1874, P < 0.001). CONCLUSIONS: Our study suggests that community-based MHA treatment may be effective in diverting children and youth away from acute care and highlights the importance of data linkage as a means to better understand the complexity of cross-sectoral MHA service use.

Epidemiology of Interpersonal Trauma among Women and Men Psychiatric Inpatients: A Population-Based Study.

OBJECTIVE: Small clinical samples suggest that psychiatric inpatients report a lifetime history of interpersonal trauma. Since past experiences of trauma may complicate prognosis and treatment trajectories, population-level knowledge is needed about its prevalence and correlates among inpatients. METHODS: Using health-administrative databases comprising all adult psychiatric inpatients in Ontario, Canada (2009 to 2016, n = 160,436, 49% women), we identified those who reported experiencing physical, sexual, and/or emotional trauma in their lifetime, 1 year, and 30 days preceding admission. We described the prevalence of each type of trauma, comparing women and men using modified Poisson regression, and identified individual-level characteristics associated with lifetime trauma history using multivariable logistic regression. RESULTS: 31.7% of inpatients reported experiencing trauma prior to admission. Lifetime prevalence was higher in women (39.6% vs. 24.1%; age-adjusted prevalence ratio [aPR] = 1.68; 95% CI, 1.65 to 1.71), including sexual (22.7% vs. 8.4%; aPR = 2.81; 95% CI, 2.73 to 2.89), emotional (33.3% vs. 19.4%; aPR = 1.76; 95% CI, 1.72 to 1.79), and physical trauma (24.2% vs. 14.8%; aPR = 1.68; 95% CI, 1.65 to 1.72). Factors most prominently associated with lifetime trauma were witnessing parental substance use (adjusted odds ratio [aOR] = 8.68; 95% CI, 8.39 to 8.99), female sex (aOR = 2.29; 95% CI, 2.23 to 2.35), and number of recent stressful life events (aOR = 1.62; 95% CI, 1.59 to 1.65). CONCLUSIONS: These results suggest that trauma-informed approaches are essential to consider in the design and delivery of inpatient psychiatric services for both women and men.

Postdischarge service utilisation and outcomes among Chinese and South Asian psychiatric inpatients in Ontario, Canada: a population-based cohort study.

OBJECTIVE: We sought to examine the short-term and long-term impacts of psychiatric hospitalisations among patients of Chinese and South Asian origin. DESIGN: Retrospective population-based cohort study using linked health administrative data. SETTING: We examined all adult psychiatric inpatients discharged between 1 April 2006 and 31 March 2014 in Ontario, Canada, who were classified as Chinese, South Asian and all other ethnicities (ie, 'general population') using a validated algorithm. We identified 2552 Chinese, 2439 South Asian and 127 142 general population patients. PRIMARY AND SECONDARY OUTCOME MEASURES: We examined psychiatric severity measures at admission and discharge and performed multivariable logistic regression analyses to examine 30-day, 180-day and 365-day postdischarge service utilisation and outcomes, comparing each of the ethnic groups with the reference population, after adjustment for age, sex, income, education, marital status, immigration status, community size and discharge diagnosis. RESULTS: Despite presenting to hospital with greater illness severity, Asian psychiatric inpatients had shorter lengths of hospital stay and greater absolute improvements in mental health and functional status at discharge compared with other inpatients. After hospitalisation, Chinese patients were more likely to visit psychiatrists and South Asian patients were more likely to seek mental healthcare from general practitioners. They were also less likely to have a psychiatric readmission or die 1 year following hospitalisation (adjusted ORChinese=0.87; 95% CI 0.79 to 0.97; adjusted ORSouth Asian=0.82, 95% CI 0.73 to 0.91). Findings were consistent across genders, psychiatric diagnoses and immigrant groups. CONCLUSION: Once hospitalised, patients of Chinese and South Asian origin fared as well as or better than general population patients at discharge and following discharge, and had a positive trajectory of psychiatric service utilisation.

Temporal Trends in Mental Health Service Utilization across Outpatient and Acute Care Sectors: A Population-Based Study from 2006 to 2014.

OBJECTIVE: Although evidence suggests that treatment seeking for mental illness has increased over time, little is known about how the health system is meeting the increasing demand for services. We examined trends in physician-based mental health service use across multiple sectors. METHOD: In this population-based study, we used linked health-administrative databases to measure annual rates of mental health-related outpatient physician visits to family physicians and psychiatrists, emergency department visits, and hospitalizations in adults aged 16+ from 2006 to 2014. We examined absolute and relative changes in visit rates, number of patients, and frequency of visits per patient, and assessed temporal trends using linear regressions. RESULTS: Among approximately 11 million Ontario adults, age- and sex-standardized rates of mental health-related outpatient physician visits declined from 604.8 to 565.5 per 1000 population over the study period ( Ptrend = 0.04). Over time, the rate of visits to family physicians/general practitioners remained stable ( Ptrend = 0.12); the number of individuals served decreased, but the number of visits per patient increased. The rate of visits to psychiatrists declined ( Ptrend < 0.001); the number of individuals served increased, but the number of visits per patient decreased. Concurrently, visit rates to emergency departments and hospitals increased (16.1 to 19.7, Ptrend < 0.001 and 5.6 to 6.0, Ptrend = 0.01, per 1000 population, respectively). Increases in acute care service use were greatest for anxiety and addictions. CONCLUSIONS: The increasing acute care service use coupled with the reduction in outpatient visits suggest, overall, an increase in demand for mental health care that is not being met in ambulatory care settings.