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BackgroundNo research has assessed the individual-level impact of smoking cessation treatment delivered within a general primary care patient population on multiple forms of subsequent healthcare service use.ObjectiveWe aimed to compare the rate of outpatient visits, emergency department (ED) visits and hospitalisations during a 5-year follow-up period among smokers who had and had not accessed a smoking cessation treatment programme.MethodsThe study was a retrospective matched cohort study using linked demographic and administrative healthcare databases in Ontario, Canada. 9951 patients who accessed smoking cessation services between July 2011 and December 2012 were matched to a smoker who did not access services, obtained from the Canadian Community Health Survey, using a combination of hard matching and propensity score matching. Outcomes were rates of healthcare service use from index date (programme enrolment or survey response) to March 2017.ResultsAfter controlling for potential confounders, patients in the overall treatment cohort had modestly greater rates of the outcomes: outpatient visits (rate ratio (RR) 1.10, 95% CI: 1.06 to 1.14), ED visits (RR 1.08, 95% CI: 1.03 to 1.13) and hospitalisations (RR 1.09, 95% CI: 1.02 to 1.18). Effect modification of the association between smoking cessation treatment and healthcare service use by prevalent comorbidity was found for outpatient visits (p=0.006), and hospitalisations (p=0.050), but not ED visits.ConclusionsPatients who enrolled in smoking cessation treatment offered through primary care clinics in Ontario displayed a modest but significantly greater rate of outpatient visits, ED visits and hospitalisations over a 5-year follow-up period.

PURPOSE Risk and predictors of long-term mental health outcomes in survivors of adolescent and young adult (AYA) cancers are poorly characterized. Mental health is consequently neglected in long-term follow-up. METHODS We identified all AYA in Ontario, Canada age 15-21 years when diagnosed with one of six common cancers between 1992-2012 using a population-based database, and compared them with matched controls. Linkage to provincial healthcare data allowed analysis of rates of outpatient (family physician and psychiatrist) visits for psychiatric indications and time to severe psychiatric events (emergency room visit, hospitalization, and suicide). Demographic-, disease-, and treatment-related predictors of adverse outcomes, including treatment setting (adult v pediatric), were examined. RESULTS Among 2,208 survivors and 10,457 matched controls, 5-year survivors experienced higher rates of outpatient mental health visits than controls (671 visits per 1,000 person-years v 506; adjusted rate ratio [RR] 1.3; 95% CI, 1.1 to 1.5; P = .006). Risk of a severe psychiatric episode was also increased among survivors (adjusted hazard ratio [HR], 1.2; 95% CI, 1.1 to 1.4, P = .008). Risk of a psychotic disorder–associated severe event was doubled in survivors (HR, 2.0, 95% CI, 1.3 to 2.4; P = .007) although absolute risk remained low (15-year cumulative incidence 1.7%; 95% CI, 1.0 to 2.7). In multivariable analysis, survivors treated in adult centers experienced substantially higher outpatient visit rates compared with those treated in pediatric settings (RR 1.8; 95% CI, 1.0 to 3.1; P = .04). CONCLUSION Survivors of AYA cancer are at substantially increased risk of adverse mental health outcomes, with those treated in adult centers at particular risk. Although absolute incidence was low, survivors were at increased risk of psychotic disorder–associated severe events. Long-term mental health surveillance is warranted, as is research into effective interventions during or after cancer treatment.

Objective: This study examines whether depression is associated with the development of physical illness and multimorbidity, after controlling for socioeconomic, behavioral, and other potential confounders. Methods: This is a retrospective cohort study in which adult respondents to three nationally representative population health surveys were linked to health administrative databases in Ontario, Canada, and followed for 10 years from survey index. Respondents with any of the study outcome conditions at baseline were excluded to create a final cohort of 29,838 participants. The main exposure of interest was depression, measured using the Composite International Diagnostic Interview–Short Form for Major Depression. We controlled for age, body mass index, marital status, immigrant status, annual household income, smoking, alcohol consumption, physical activity, health status, and having a regular doctor. The outcome measure was the development of physical illness over 10 years of follow-up, defined as 1 of 15 common chronic conditions using administrative data. Results: Among the 29,838 participants (15,259 [51%] female), 8% of females and 4% of males had depression at baseline. In this cohort with no comorbidities at baseline, even in the fully adjusted model, depression increased the risk of developing a first physical illness for females (hazard ratio [HR] 1.16; 95% CI, 1.07 to 1.26) and males (HR 1.20; 95% CI, 1.07 to 1.36) and increased the risk of developing a second physical illness for females (HR 1.16; 95% CI, 1.02 to 1.33) over 10 years of follow-up. Conclusions: For individuals with no prior comorbidities, depression is associated with a greater risk of developing subsequent physical illness and multimorbidity over time. Thus, depression identifies a population of people who may benefit from early identification, additional screening, and intervention. Further study needs to be done to determine whether interventions to manage and support people with depression can prevent or delay the increased risk of multimorbidity.

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.

BackgroundIndividuals with eating disorders have a high mortality risk. Few population-based studies have estimated this risk in eating disorders other than anorexia nervosa.AimsTo investigate all-cause mortality in a population-based cohort of individuals who received hospital-based care for an eating disorder (anorexia nervosa, bulimia nervosa or eating disorder not otherwise specified) in Ontario, Canada.MethodWe conducted a retrospective cohort study of 19 041 individuals with an eating disorder from 1 January 1990 to 31 December 2013 using administrative healthcare data. The outcome of interest was death. Excess mortality was assessed using standardised mortality ratios (SMRs) and potential years of life lost (PYLL). Cox proportional hazards regression models were used to examine sociodemographic and medical comorbidities associated with greater mortality risk.ResultsThe cohort had 17 108 females (89.9%) and 1933 males (10.1%). The all-cause mortality for the entire cohort was five times higher than expected compared with the Ontario population (SMR = 5.06; 95% CI 4.82–5.30). SMRs were higher for males (SMR = 7.24; 95% CI 6.58–7.96) relative to females (SMR = 4.59; 95% CI 4.34–4.85) overall, and in all age groups in the cohort. For both genders, the cohort PYLL was more than six times higher than the expected PYLL in the Ontario population.ConclusionsPatients with eating disorders diagnosed in hospital settings experience five to seven times higher mortality rates compared with the overall population. There is an urgent need to understand the mortality risk factors to improve health outcomes among individuals with eating disorders.

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;...

Canada has been home to comparatively extreme developments in prescription opioid (PO) availability and related harms (e.g. morbidity, mortality) post-2000. Following persistent pan-Canadian increases in PO use, select control measures were implemented and PO dispensing levels—while only inconsistently by province—inverted, and began to plateau or decrease post-2012. We examined annual PO dispensing levels in Canada up until 2018, based on representative prescription sample data from community-based retail pharmacies. Annual prescription-based dispensing data were converted into defined daily doses/1000 population/day by province, and mainly categorized into ‘weak’ and ‘strong’ opioids. All provinces indicated decreasing trends in strong PO levels in most recent years, yet with inter-provincial differences of up to one magnitude in 2018; in about half the provinces, dispensing fell to below-2005 levels. British Columbia had the largest decline in strong PO dispensing from its peak rate (− 48.5%) in 2011. Weak opioid dispensing trends remained more inconsistent and bifurcated across Canada. The distinct effects of individual—including many provincially initiated and governed—PO control measures urgently need to be evaluated. In the meantime, recent reductions in general PO availability across Canada appear to have contributed to shortages in opioid supply for existent, sizable (including non-medical) user populations and may have contributed to recent marked increases in illicit opioid use and harms (including rising deaths).

Background Suicide is a major cause of mortality for individuals with schizophrenia spectrum disorders (SSD). Understanding the risk factors for suicide at time of diagnosis can aid clinicians in identifying people at risk. Methods Records from linked administrative health databases in Ontario, Canada were used to identify individuals aged 16 through 45 years who received a first lifetime diagnosis of SSD (schizophrenia, schizoaffective disorder, psychotic disorder not otherwise specified (NOS)) using a validated algorithm between 01/01/1993 and 12/31/2010. The main outcome was death by suicide following cohort entry until 12/31/2012. Outcomes 75,989 individuals with a first SSD diagnosis (60.1% male, 39.9% female) were followed for an average of 9.56 years. During this period, 1.71% of the total sample (72.1% male, 27.9% female) died by suicide, after an average of 4.32 years. Predictors of suicide death included male sex (HR 2.00, 95% CI 1.76–2.27), age at diagnosis between 26 and 35 (HR 1.27, 95% CI 1.10–1.45) or 36–45 (HR 1.34, 95% CI 1.16–1.54), relative to 16–25, and suicide attempt (HR 2.23, 95% CI 1.86–2.66), drug use disorder (HR 1.21, 95% CI 1.04–1.41), mood disorder diagnosis (HR 1.32, 95% CI 1.17–1.50), or mental health hospitalization (HR 1.30 95% CI 1.13–1.49) in the 2 years prior to SSD diagnosis. Interpretation Death by suicide occurs in 1 out of every 58 individuals and occurred early following first diagnosis of SSD. Psychiatric hospitalizations, mood disorder diagnoses, suicide attempts prior to SSD diagnosis, as well as a later age at first diagnosis, are all predictors of suicide and should be integrated into clinical assessment of suicide risk in this population.

Background High levels of opioid-related mortality, as well as morbidity, contribute to the excessive opioid-related disease burden in North America, induced by high availability of opioids. While correlations between opioid dispensing levels and mortality outcomes are well-established, fewer evidence exists on correlations with morbidity (e.g., hospitalizations). Methods We examined possible overtime correlations between medical opioid dispensing and opioid-related hospitalizations in Canada, by province, 2007–2016. For dispensing, we examined annual volumes of medical opioid dispensing derived from a representative, stratified sample of retail pharmacies across Canada. Raw dispensing information for ‘strong opioids’ was converted into Defined Daily Doses per 1000 population per day (DDD/1000/day). Opioid-related hospitalization rates referred to opioid poisoning-related admissions by province, for fiscal years 2007–08 to 2016–17, drawn from the national Hospital Morbidity Database. We assessed possible correlations between opioid dispensing and hospitalizations by province using the Pearson product moment correlation; correlation values (r) and confidence intervals were reported. Results Significant correlations for overtime correlations between population-levels of opioid dispensing and opioid-related hospitalizations were observed for three provinces: Quebec (r = 0.87, CI: 0.49–0.97; p = 0.002); New Brunswick (r = 0.85;CI: 0.43–0.97; p = 0.004) and Nova Scotia (r = 0.78; CI:0.25–0.95; p = 0.012), with an additional province, Saskatchewan, (r = 0.073; CI:-0.07–0.91;p = 0.073) featuring borderline significance. Conclusions The correlations observed further add to evidence on opioid dispensing levels as a systemic driver of population-level harms. Notably, correlations were not identified principally in provinces with reported high contribution levels (> 50%) of illicit opioids to mortality, which are not captured by dispensing data and so may have distorted or concealed potential correlation effects due to contamination.

Background Recognizing the need for improved communication with patients at the point of hospital discharge, a group of clinicians, patients, and designers in Toronto, Canada collaborated to develop a standardized tool known as the Patient-Oriented Discharge Summary (PODS). Although quantitative results suggest PODS helps mitigate gaps in knowledge, a qualitative inquiry from the clinician and patient perspective of psychiatric hospital discharge using PODS has not been widely explored. Our aim was to explore clinicians’ and patients’ experiences with PODS. Methods We used a qualitative thematic analysis to explore clinicians’ (n = 10) and patients’ (n = 6) experiences with PODS. We used convenience sampling to identify and invite potential participants at the Center for Addiction and Mental Health in Toronto, Canada to participate in semi-structured interviews between February 2019 and September 2019. Data were analyzed using a thematic analysis approach to develop descriptive themes. Results Emerging themes from the data between clinicians and patients were both different and complementary. Clinicians described PODS using the concept of “goals of care.” They relayed their experiences with PODS as a discrete event and emphasized its role in meeting their “goals of care” for discharge planning. Patients provided more of a “goals of life” perspective on recovery. They characterized PODS as only one facet of their recovery journey and not necessarily as a discrete or memorable event. Patients focused on their outcomes post-discharge and situated their experiences with PODS through its relation to their overall recovery. Conclusions PODS was experienced differently by clinicians and patients. Clinicians experienced PODS as helpful in orienting them to the fulfillment of goals of care. Patients did not experience PODS as a particularly memorable intervention. Due to the information advantage that clinicians have about PODS, it is not surprising that clinicians and patients experienced the PODS differently. This study expanded our understanding of hospital discharge from clinicians and patients perspectives, and suggests that there are additional areas that need improvement.

Background: Recent research found that physicians who completed medical school training at top-ranked U.S. medical schools prescribed fewer opioids than those trained at lower ranked schools, suggesting that physician training may play a role in the opioid epidemic. We replicated this analysis to understand whether this finding holds for Ontario, Canada. Methods: We used data on all opioid prescriptions written by Ontario physicians between 2013 and 2017 from the Narcotics Monitoring System. Using the Corporate Provider Database and ICES Physician Database, which contain medical school of training, we linked patients who filled opioid prescriptions with their respective prescribing physician. Available data on Canadian medical school rankings were obtained from Maclean’s news magazine. We used regression analysis to assess the relationship between number of opioid prescriptions and medical school ranking. Results: Compared to the United States, average annual number of opioid prescriptions per physician was lower in Ontario (236 vs. 78). Unlike the United States, we found little evidence that physicians trained at lower ranked medical schools prescribed more than their top-ranked school counterparts after controlling for specialty and location of practice. However, primary care physicians trained at non-English-speaking foreign schools prescribed the most opioids even after excluding opioid maintenance therapy–related prescriptions. Conclusion: The role of medical school training on opioid prescribing patterns among Ontario physicians differs from that in the United States likely due to greater homogeneity of curricula among Canadian schools. Ensuring physicians trained abroad receive additional pain management/addiction training may help address part of the opioid epidemic in Ontario.

Objective: Mental health issues in late life are a growing public health challenge as the population aged 65 and older rapidly increases worldwide. An updated understanding of the causes of mood disorders and their consequences in late life could guide interventions for this underrecognized and undertreated problem. We undertook a population-based analysis to quantify the prevalence of mood disorders in late life in Ontario, Canada, and to identify potential risk factors and consequences. Method: Individuals aged 65 or older participating in 4 cycles of a nationally representative survey were included. Self-report of a diagnosed mood disorder was used as the outcome measure. Using linked administrative data, we quantified associations between mood disorder and potential risk factors such as demographic/socioeconomic factors, substance use, and comorbidity. We also determined associations between mood disorders and 5-year outcomes including health service utilization and mortality. Results: The prevalence of mood disorders was 6.1% (4.9% among males, 7.1% among females). Statistically significant associations with mood disorders included younger age, female sex, food insecurity, chronic opioid use, smoking, and morbidity. Individuals with mood disorders had increased odds of all consequences examined, including placement in long-term care (adjusted odds ratio [OR] =2.28; 95% confidence interval [CI], 1.71 to 3.02) and death (adjusted OR = 1.35; 95% CI, 1.13 to 1.63). Conclusions: Mood disorders in late life were strongly correlated with demographic and social/behavioral factors, health care use, institutionalization, and mortality. Understanding these relationships provides a basis for potential interventions to reduce the occurrence of mood disorders in late life and their consequences.

BackgroundThere is substantial variability in involuntary psychiatric admission rates across countries and sub-regions within countries that are not fully explained by patient-level factors. We sought to examine whether in a government-funded health care system, physician payments for filling forms related to an involuntary psychiatric hospitalization were associated with the likelihood of an involuntary admission.MethodsThis is a population-based, cross-sectional study in Ontario, Canada of all adult psychiatric inpatients in Ontario (2009–2015, n = 122 851). We examined the association between the proportion of standardized forms for involuntary admissions that were financially compensated and the odds of a patient being involuntarily admitted. We controlled for socio-demographic characteristics, clinical severity, past-health care system utilization and system resource factors.ResultsInvoluntary admission rates increased from the lowest (Q1, 70.8%) to the highest (Q5, 81.4%) emergency department (ED) quintiles of payment, with the odds of involuntary admission in Q5 being nearly significantly higher than the odds of involuntary admission in Q1 after adjustment (aOR 1.73, 95% CI 0.99–3.01). With payment proportion measured as a continuous variable, the odds of involuntary admission increased by 1.14 (95% CI 1.03–1.27) for each 10% absolute increase in the proportion of financially compensated forms at that ED.ConclusionsWe found that involuntary admission was more likely to occur at EDs with increasing likelihood of financial compensation for invoking involuntary status. This highlights the need to better understand how physician compensation relates to the ethical balance between the right to safety and autonomy for some of the world's most vulnerable patients.

Being a member of a Canadian Armed Forces (CAF) family includes frequent geographic relocations, which may affect the use of mental health and addictions (MHA) services. This was a retrospective cohort study to examine intra-provincial variation in MHA services among CAF children, youth, and spouses posted across the province of Ontario using administrative datasets. Our sample included 5478 CAF children and youth, and 3358 female spouses who were relocated to Ontario between 2008 and 2012. CAF family members were assigned to one of five regions of the province based on their postal code. Publicly funded, physician-based MHA services included related visits to family physicians, paediatricians, and psychiatrists and emergency department (ED) visits and hospitalizations. Adjusted comparisons, including age, sex, and income, were made using linear, logistic, and modified Poisson regression. We found that the majority of our sample did not use MHA services following relocation. Among those who did so, we documented a small amount of intra-provincial variation. Children and youth living in the South East and “other” regions were less likely to see a family physician than in the Champlain region. Children and youth living in the North Simcoe region were more likely to have an MHA specialist visit and less likely to have an MHA ED visit than in the Champlain region. Female spouses living in the North Simcoe and “other” regions were more likely to have an MHA family physician visit than in the Champlain region. Our findings suggest that additional MHA support may be required to meet the needs of military families, in particular when relocated to MHA resource-poor areas of the country.

The authors investigated demographic, clinical, and service-utilization factors that affected the quality of diabetes care among patients with schizophrenia.This was a retrospective cohort study of adults with schizophrenia and diabetes (N=26,259) in Ontario, Canada. Quality of care was based on receipt of three guideline-concordant diabetes care procedures between 2011 and 2013. A cumulative logit regression model was used to determine characteristics associated with optimal testing.Factors associated with optimal diabetes testing included more frequent outpatient psychiatrist visits (odds ratio [OR]=1.28, 95% confidence interval [CI]=1.20-1.37) and primary care visits for nonmental health reasons (OR=2.10, 95% CI=1.85-2.39). High-frequency primary care visits for mental health reasons, any hospitalizations, and emergency visits for mental health reasons were associated with lower odds of testing.Diabetes quality of care may be contingent on receipt of medically focused primary care, psychiatric stability, and receipt of specialist psychiatric care.

Objective: Previous research indicates a potential relationship between rurality and suicide, indicating that those living in rural areas may be at increased risk of suicide. This relationship has not been reviewed systematically. This study aims to determine whether those living in rural areas are more likely to complete or attempt suicide. Method: This systematic review and meta-analysis included observational studies based on people living in Canada, the United States, the United Kingdom, and Australia. Data sources included PubMed, EMBASE, PsycINFO, and Google Scholar from January 2006 to December 2017. Studies must have compared rural and urban suicide or suicide attempts. Nonprimary research articles were excluded. Results: A total of 6,259 studies were identified and 53 were included. Results indicate that males living in rural areas are more likely to complete suicide than their urban counterparts (RR = 1.41, 95% CI, 1.21 to 1.64, I 2 = 96%). Females in rural areas are not significantly more likely to complete suicide (RR = 1.16, 95% CI, 0.98 to 1.37, I 2 = 79%). Among studies that only reported combined estimates, rural individuals are more likely to complete suicide (RR = 1.22, 95% CI, 1.11 to 1.33, I 2 = 98%). There is no association found between rurality and suicide attempts (RR = 0.93, 95% CI, 0.73 to 1.19, I 2 = 85%). Conclusions: Those living in rural areas are more likely to complete suicide, with some studies indicating that only rural males are more likely to complete suicide; these findings are relatively consistent across all four countries. Public health initiatives should aim to overcome geographic variation in completed suicide, with a particular focus on rural males.

PURPOSE Although a diagnosis of childhood cancer can have a profound effect on the entire family unit, its impact on the long-term mental health of family members is not well characterized. METHODS A provincial childhood cancer registry in Ontario, Canada, was linked to birth records to identify separate population-based cohorts of mothers and siblings of children diagnosed with cancer between 1998 and 2014. The mother and sibling cohorts were matched to corresponding population controls and linked to health services data. The rate of mental health–related outpatient visits (family physician, psychiatrist) and the incidence of severe psychiatric events (psychiatric emergency department visit, psychiatric hospitalization, suicide) were compared between mothers and siblings and their controls. Possible predictors of mental health outcomes were examined, including demographics, characteristics of the cancer-affected child, and cancer treatment. RESULTS We identified 4,773 mothers and 7,897 siblings of children diagnosed with cancer during the study period. Compared with controls, both groups experienced elevated rates of outpatient visits (mothers: rate ratio [RR], 1.4; P < .0001; siblings: RR, 1.1; P < .0001). The risk of severe psychiatric events was not increased in either cohort. Mother and sibling demographic factors associated with increased risk of adverse mental health included younger maternal age at cancer diagnosis, low socioeconomic status, and rural residence among mothers and older sibling age among siblings. Treatment-related variables pertaining to the cancer-affected child were not associated with mental health outcomes. Mental health outcomes clustered within families. CONCLUSION Both mothers and siblings experience elevated and prolonged need for mental health–related health care as compared with the general population. Demographic risk factors predict subpopulations at highest risk. Increased psychosocial support for family members during and after cancer therapy is warranted.

BackgroundSchizophrenia is associated with an increased risk of death following stroke; however, the magnitude and underlying reasons for this are not well understood.ObjectiveTo determine the association between schizophrenia and stroke case fatality, adjusting for baseline characteristics, stroke severity and processes of care.DesignRetrospective cohort study used linked clinical and administrative databases.SettingAll acute care institutions (N=152) in the province of Ontario, Canada.ParticipantsAll patients (N=52 473) hospitalised with stroke between 1 April 2002 and 31 March 2013 and included in the Ontario Stroke Registry. Those with schizophrenia (n=612) were identified using validated algorithms.Main outcomes and measuresWe compared acute stroke care in those with and without schizophrenia and used Cox proportional hazards models to examine the association between schizophrenia and mortality, adjusting for demographics, comorbidity, stroke severity and processes of care.ResultsCompared with those without schizophrenia, people with schizophrenia were less likely to undergo thrombolysis (10.1% vs 13.4%), carotid imaging (66.3% vs 74.0%), rehabilitation (36.6% vs 46.6% among those with disability at discharge) or be treated with antihypertensive, lipid-lowering or anticoagulant therapies. After adjustment for age and other factors, schizophrenia was associated with death from any cause at 1 year (adjusted HR (aHR) 1.33, 95% CI 1.14 to 1.54). This was mainly attributable to early deaths from stroke (aHR 1.47, 95% CI 1.20 to 1.80, with survival curves separating in the first 30 days), and the survival disadvantage was particularly marked in those aged over 70 years (1-year mortality 46.9% vs 35.0%).ConclusionsSchizophrenia is associated with increased stroke case fatality, which is not fully explained by stroke severity, measurable comorbid conditions or processes of care. Future work should focus on understanding this mortality gap and on improving acute stroke and secondary preventive care in people with schizophrenia.

Objective:There is limited information to guide health-care service providers and policy makers on the burden of mental disorders and addictions across the Canadian provinces. This study compares interprovincial prevalence of major depressive disorder (MDD), bipolar disorder, generalized anxiety disorder (GAD), alcohol use disorder, substance use disorders, and suicidality.Method:Data were extracted from the 2012 Canadian Community Health Survey—Mental Health ( n = 25,113), a representative sample of Canadians over the age of 15 years across all provinces. Cross tabulations and logistic regression were used to determine the prevalence and odds of the above disorders for each province. Adjustments for provincial sociodemographic factors were performed.Results:The past-year prevalence of all measured mental disorders and suicidality, excluding GAD, demonstrated significant interprovincial differences. Manitoba exhibited the highest prevalence of any mental disorder (13.6%), reflecting high prevalence of MDD and alcohol use disorder compared to the other provinces (7.0% and 3.8%, respectively). Nova Scotia exhibited the highest prevalence of substance use disorders (2.9%). Quebec and Prince Edward Island exhibited the lowest prevalence of any mental disorder (8.5% and 7.7%, respectively). Manitoba also exhibited the highest prevalence of suicidal ideation (5.1%); however, British Columbia and Ontario exhibited the highest prevalence of suicidal planning (1.4% and 1.3%, respectively), and Ontario alone exhibited the highest prevalence of suicide attempts (0.7%).Conclusions:Significant interprovincial differences were found in the past-year prevalence of mental disorders and suicidality in Canada. More research is necessary to explore these differences and how they impact the need for mental health services.

This commentary follows up on previous examinations on the state and evolution of opioid use, related harms, and interventions since the early 2000s in Canada. Since the most recent commentary, the...

Introduction Residents of Northern Ontario have limited access to local psychiatric care. To address this, three program models exist: (1) telepsychiatry; (2) psychiatrists traveling to underserved areas; and (3) reimbursing patients for travel to a psychiatrist. Evidence shows that telepsychiatry has comparable outcomes to in-person consultations. The objective of this study was to determine the cost difference between programs. Methods A cost-minimization analysis estimating cost per visit from a public healthcare payer economic costing perspective was conducted. Data on fixed and variable costs were obtained. Evidence-based assumptions were made where relevant. Base-case scenarios and a break-even analysis were completed, as well as deterministic and probabilistic sensitivity analyses, to explore the effects of parameter variability on program costs. Results Costs per visit were lowest in telepsychiatry (CAD$360) followed by traveling physicians (CAD$558) and patient reimbursement (CAD$620). Among the 100,000 Monte Carlo simulations, results showed telepsychiatry was the least costly program in 71.2% of the simulations, while the reimbursement and outreach programs were least costly in 15.1% and 13.7% of simulations, respectively. The break-even analysis found telepsychiatry was the least costly program after an annual patient visit threshold of approximately 76 visits (compared to traveling psychiatrists) and 126 visits (compared to reimbursed patients). Discussion Our analyses support telepsychiatry as the least costly program. These results have important implications for program planning, including the prioritization of telepsychiatry, increased integration of telepsychiatry with other modalities of outreach psychiatry, and limiting use of the patient remuneration program to where medically necessary, to reduce overall cost.

Research has shown that a small proportion of patients account for the majority of health care spending. The objective of this analysis was to determine the amount and proportion of preventable acute care spending among high-cost patients. We examined a population-based sample of all adult high-cost patients using linked administrative health care data housed at ICES in Toronto, Ontario. High-cost patients were defined as those in and above the 90th percentile of the cost distribution. Preventable acute care (emergency department visits and hospitalisations) was defined using validated algorithms. We estimated costs of preventable and non-preventable acute care for high- and non-high-cost patients by category of visit/condition. We replicated our analysis for persistent high-cost patients and high-cost patients under 65 years and those 65 years and older. We found that 10% of all acute care spending among high-cost patients was considered preventable; this figure was higher for non-high-cost patients (25%). The proportion of preventable acute care spending was higher for persistent high-cost patients (14%) and those 65 years and older (12%). Among ED visits, the largest portion of preventable care spending was for primary care treatable conditions; for hospitalisations, the highest proportions of preventable care spending were for COPD, bacterial pneumonia and urinary tract infections. Although high-cost patients account for a substantial proportion of health care costs, there seems to be limited scope to prevent acute care spending among this patient population. Nonetheless, care coordination and improved access to primary care, and disease prevention may prevent some acute care.

Background Among patients with cancer, prior research suggests that patients with mental illness may have reduced survival. The objective was to assess the impact of psychiatric utilisation (PU) prior to cancer diagnosis on survival outcomes. Methods All residents of Ontario diagnosed with one of the top 10 malignancies (1997–2014) were included. The primary exposure was psychiatric utilisation gradient (PUG) score in 5 years prior to cancer: 0: none, 1: outpatient, 2: emergency department, 3: hospital admission. A multivariable, cause-specific hazard model was used to assess the effect of PUG score on cancer-specific mortality (CSM), and a Cox proportional hazard model for effect on all-cause mortality (ACM). Results A toal of 676,125 patients were included: 359,465 (53.2%) with PUG 0, 304,559 (45.0%) PUG 1, 7901 (1.2%) PUG 2, and 4200 (0.6%) PUG 3. Increasing PUG score was independently associated with worse CSM, with an effect gradient across the intensity of pre-diagnosis PU (vs PUG 0): PUG 1 h 1.05 (95% CI 1.04–1.06), PUG 2 h 1.36 (95% CI 1.30–1.42), and PUG 3 h 1.73 (95% CI 1.63–1.84). Increasing PUG score was also associated with worse ACM. Conclusions Pre-cancer diagnosis PU is independently associated with worse CSM and ACM following diagnosis among patients with solid organ malignancies.

Traumatic brain injury (TBI) is a common injury characterized by a change in brain function after an external blow to the head and is associated with substance abuse, psychological distress, risk-taking, and impulsivity. Convenience and clinical samples have also linked TBI to problem gambling, but have not ruled out confounding variables such as hazardous drinking and psychological distress. This study examines the relationship between TBI and moderate to severe problem gambling in a general population probability sample controlling for hazardous drinking and psychological distress. The data were obtained from a 2015–2016 cross-sectional general population telephone survey of adults ages 18+from Ontario, Canada (N = 3809). Logistic regression was used to estimate the association as adjusted odds ratios (AOR). Moderate to severe problem gambling was independently associated with a history of TBI after adjusting for potential confounders (AOR: 2.80), and had a statistically significant relationship with psychological distress (AOR = 2.74), hazardous drinking (AOR = 2.69), and lower educational levels (AOR = 0.37). This study provides further data to suggest a link between TBI and moderate to severe problem gambling; however, more research is needed to determine if there is a causal relationship or the potential implications for prevention and treatment.

ObjectivePatients with inflammatory bowel disease (IBD) have an elevated risk of mental illness. We determined the incidence and correlates of new-onset mental illness associated with IBD during pregnancy and post partum.DesignThis cohort study using population-based health administrative data included all women with a singleton live birth in Ontario, Canada (2002–2014). The incidence of new-onset mental illness from conception to 1-year post partum was compared between 3721 women with and 798 908 without IBD, generating adjusted HRs (aHR). Logistic regression was used to identify correlates of new-onset mental illness in the IBD group.ResultsAbout 22.7% of women with IBD had new-onset mental illness versus 20.4% without, corresponding to incidence rates of 150.2 and 132.8 per 1000 patient-years (aHR 1.12, 95% CI 1.05 to 1.20), or one extra case of new-onset mental illness per 43 pregnant women with IBD. The risk was elevated in the post partum (aHR 1.20, 95% CI 1.09 to 1.31), but not during pregnancy, and for Crohn’s disease (aHR 1.12, 95% CI 1.02 to 1.23), but not ulcerative colitis. The risk was specifically elevated for a new-onset mood or anxiety disorder (aHR 1.14, 95% CI 1.04 to 1.26) and alcohol or substance use disorders (aHR 2.73, 95% CI 1.42 to 5.26). Predictors of a mental illness diagnosis were maternal age, delivery year, medical comorbidity, number of prenatal visits, family physician obstetrical care and infant mortality.ConclusionWomen with IBD were at an increased risk of new-onset psychiatric diagnosis in the postpartum period, but not during pregnancy. Providers should look to increase opportunities for prevention, early identification and treatment accordingly.

Objective To compare individuals with and without schizophrenia spectrum disorders (SSD) (schizophrenia, schizoaffective disorder, or psychotic disorder not otherwise specified) who die by suicide. Method This is a retrospective case control study which compared all individuals who died by suicide in Ontario, Canada with (cases) and without (controls) SSD between January 1, 2008 and December 31, 2012. Cases (individuals with SSD) were compared to controls on demographics, clinical characteristics, and health service utilization proximal to suicide. A secondary analysis compared the characteristics of those with SSD and those with severe mental illness (defined as those without SSD who have had a psychiatric hospitalization within the five-years before suicide (excluding the 30 days prior to death)). Results Among 5650 suicides, 663 (11.7%) were by individuals with SSD. Compared to other suicides, SSD suicides were significantly more likely to be between the ages of 25–34. SSD suicide victims were significantly more likely to reside in the lowest income neighbourhoods and to reside in urban areas. SSD victims were also significantly more likely to have comorbid mood and personality disorders and all types of health service utilization, including outpatient mental health service contact in the 30 days prior to death, even when compared only with those who had a history of mental health hospitalization. Conclusions Individuals with schizophrenia spectrum disorder account for over 1 in 10 suicide deaths, tend to be younger, poorer, urban, more clinically complex, and have higher rates of mental health service contact prior to death. The demographic and service utilization differences persist even when the SSD group is compared with a population with severe mental illness that is not SSD. Suicide prevention strategies for people with schizophrenia spectrum disorder should emphasize the importance of clinical suicide risk assessment during clinical encounters, particularly early in the course of illness.

Background: Evidence suggests that cannabis use may be associated with suicidality in adolescence. Nevertheless, very few studies have assessed this association in low- and middle-income countries (LMICs). In this cross-sectional survey, we investigated the association of cannabis use and suicidal attempts in adolescents from 21 LMICs, adjusting for potential confounders.Method: Data from the Global school-based Student Health Survey was analyzed in 86,254 adolescents from 21 countries [mean (SD) age = 13.7 (0.9) years; 49.0% girls]. Suicide attempts during past year and cannabis during past month and lifetime were assessed. Multivariable logistic regression analyses were conducted.Results: The overall prevalence of past 30-day cannabis use was 2.8% and the age-sex adjusted prevalence varied from 0.5% (Laos) to 37.6% (Samoa), while the overall prevalence of lifetime cannabis use was 3.9% (range 0.5%–44.9%). The overall prevalence of suicide attempts during the past year was 10.5%. Following multivariable adjustment to potential confounding variables, past 30-day cannabis use was significantly associated with suicide attempts (OR = 2.03; 95% CI: 1.42–2.91). Lifetime cannabis use was also independently associated with suicide attempts (OR = 2.30; 95% CI: 1.74–3.04).Conclusion: Our data indicate that cannabis use is associated with a greater likelihood for suicide attempts in adolescents living in LMICs. The causality of this association should be confirmed/refuted in prospective studies to further inform public health policies for suicide prevention in LMICs.

Objective: This study evaluated the impact of a critical time intervention (CTI) adaptation on health care utilization outcomes among adults experiencing homelessness and mental health needs in a large urban center. Methods: Provincial population-based administrative data from Ontario, Canada, were used in a pre–post design for a cohort of 197 individuals who received the intervention between January 2013 and May 2014 and were matched to a cohort of adults experiencing homelessness who did not receive the intervention over the same time period. Changes in health care utilization outcomes in the year pre- and postintervention were evaluated using generalized estimating equations, and post hoc analyses evaluated differences between groups. Results: Pre–post analyses revealed statistically significant changes in health care utilization patterns among intervention recipients, including reduced inpatient service use and increased outpatient service use in the year following the intervention compared to the year prior. However, the matched cohort analysis found nonsignificant differences in health service use changes between a subgroup of intervention recipients and their matched counterparts. Conclusions: An adapted CTI model was associated with changes in health care utilization among people experiencing homelessness and mental health needs. However, changes were not different from those observed in a matched cohort. Rigorous study designs with adequate samples are needed to examine the effectiveness of CTI and local adaptations in diverse health care contexts.

There is emerging evidence of high mortality rates after the first diagnosis of psychotic disorder. The objective of this study was to estimate the standardized mortality ratio (SMR) in a population-based cohort of individuals with a first diagnosis of schizophrenia-spectrum psychotic disorder (SSD). The cohort included a population-based sample of individuals with a first diagnosis of SSD based on the first diagnosis occurring during hospitalization or in an outpatient setting between 2007 and 2010 in Ontario, Canada. All patients were followed for 5 years after the first diagnosis. The primary outcome was SMR, including all-cause, suicide-related, accidental, and other causes. Between 2007 and 2010, there were 2382 patients in the hospitalization cohort and 11 003 patients in the outpatient cohort. Over the 5-year observation period, 97 (4.1%) of the hospitalization cohort and 292 (2.7%) of the outpatient cohort died, resulting in an SMR of 13.6 and 9.1, respectively. In both cohorts, suicide was the most common cause of death. Approximately 1 in 25 patients with a first diagnosis of SSD during hospitalization, and 1 in 40 patients with a first diagnosis of SSD in an outpatient setting, died within 5 years of first diagnosis in Ontario, Canada. This mortality rate is between 9 and 13 times higher than would be expected in the age-matched general population. Based on these data, timely access to services should be a public health priority to reduce mortality following a first diagnosis of an SSD.

Aims Social determinants of health have the potential to influence mental health and addictions-related emergency department (ED) visits and the likelihood of admission to hospital. We aimed to determine how social determinants of health, individually and in combination, relate to the likelihood of hospital admission at the time of postpartum psychiatric ED visits. Methods Among 10 702 postpartum individuals (female based on health card) presenting to the ED for a psychiatric reason in Ontario, Canada (2008–2017), we evaluated the relation between six social determinants of health (age, neighbourhood quintile [Q, Q1 = lowest, Q5 = highest], rurality, immigrant category, Chinese or South Asian ethnicity and neighbourhood ethnic diversity) and the likelihood of hospital admission from the ED. Poisson regression models generated relative risks (RR, 95% CI) of admission for each social determinant, crude and adjusted for clinical severity (diagnosis and acuity) and other potential confounders. Generalised estimating equations were used to explore additive interaction to understand whether the likelihood of admission depended on intersections of social determinants of health. Results In total, 16.0% (n = 1715) were admitted to hospital from the ED. Being young (age 19 or less v. 40 or more: RR 0.60, 95% CI 0.45–0.82), rural-dwelling (v. urban-dwelling: RR 0.75, 95% CI 0.62–0.91) and low-income (Q1 v. Q5: RR 0.81, 95% CI 0.66–0.98) were each associated with a lower likelihood of admission. Being an immigrant (non-refugee immigrant v. Canadian-born/long-term resident: RR 1.29, 95% CI 1.06–1.56), of Chinese ethnicity (v. non-Chinese/South Asian ethnicity: RR 1.88, 95% CI 1.42–2.49); and living in the most v. least ethnically diverse neighbourhoods (RR 1.24, 95% CI 1.01–1.53) were associated with a higher likelihood of admission. Only Chinese ethnicity remained significant in the fully-adjusted model (aRR 1.49, 95% CI 1.24–1.80). Additive interactions were non-significant. Conclusions For the most part, whether a postpartum ED visit resulted in admission from the ED depended primarily on the clinical severity of presentation, not on individual or intersecting social determinants of health. Being of Chinese ethnicity did increase the likelihood of admission independent of clinical severity and other measured factors; the reasons for this warrant further exploration.

BACKGROUND: Most of the literature on high-cost users of health care has evaluated this population as a whole, but few studies have focused on high-cost patients with mental illness and whether they persist in the high-cost state. We sought to analyze this patient population in depth and determine predictors of persistency in the high-cost state. METHODS: We used 8 years of longitudinal patient-level population data (2010–2017) from Ontario to follow high-cost patients (those in and above the 90th percentile of the cost distribution) with mental illness. We classified high-cost status, based on the proportion of the study period that patients spent in the high-cost state, as persistent (6–8 yr), sporadic (1–2 yr) or moderate (3–5 yr). We compared characteristics between groups and determined predictors of being a patient with mental illness and persistent high-cost status. RESULTS: Among 52 638 patients with mental illness and high-cost status, 18 149 (34.5%) were considered persistent high cost. These patients had higher mean annual costs of care ($44 714, 95% confidence interval [CI] $43 724–$45 703) than patients with sporadic ($23 205, 95% CI $22 741–$23 668) and moderate ($31 055, 95% CI $30 359–31 751) status, largely owing to psychiatric hospital admissions. Patients with mental illness and persistent high-cost status were more likely to be female, older, long-term residents of Ontario (information ascertained from the Immigrants, Refugees and Citizenship Canada Database), living in low-income or urban areas, or to have comorbidities. The strongest predictors of persistent (v. sporadic) high-cost status were HIV (relative risk ratio [RRR] 4.32, 95% CI 3.08–6.06), psychosis (RRR 3.41, 95% CI 3.25–3.58) and dementia (RRR 3.21, 95% CI 2.81–3.68). INTERPRETATION: Among patients with mental illness and high-cost status, persistence in the high-cost state was determined mainly by psychosis and other comorbidities. Quality-of-care interventions directed at managing psychosis and multimorbidity, as well as preventive interventions to target patients with mental illness before they enter the persistent high-cost state, are needed.

IntroductionDespite recommendations, most studies examining health inequalities fail to report both absolute and relative summary measures. We examine colorectal cancer (CRC) survival for patients with and without severe psychiatric illness (SPI) to demonstrate the use and importance of relative and absolute effects. Objectives and ApproachWe conducted a retrospective cohort study of CRC patients diagnosed between 01/04/2007 and 31/12/2012, using linked administrative databases. SPI was defined as diagnoses of major depression, bipolar disorder, schizophrenia, and other psychotic illnesses six months to five years preceding cancer diagnosis and categorized as inpatient, outpatient or none. Associations between SPI history and risk of death were examined using Cox Proportional Hazards regression to obtain hazard ratios and Aalen’s semi-parametric additive hazards regression to obtain absolute differences. Both models controlled for age, sex, primary tumour location, and rurality. ResultsThe final cohort included 24,507 CRC patients, 482 patients had an outpatient SPI history and 258 patients had an inpatient SPI history. 58.1% of patients with inpatient SPI history died, and 47.1% of patients with outpatient SPI history died. Patients with an outpatient SPI history had a 40% (HR 1.40, 95% CI: 1.22-1.59) increased risk of death and patients with an inpatient SPI history had a 91% increased risk of death (HR 1.91, 95% CI: 1.63-2.25), relative to no history of a mental illness. An outpatient SPI history was associated with an additional 33 deaths per 1000 person years, and an inpatient SPI was associated with an additional 82 deaths per 1000 person years after controlling for confounders. Conclusion / ImplicationsWe demonstrated that reporting of both relative and absolute effects is possible and calculating risk difference is relatively simple using Aalen models. We encourage future studies examining inequalities with time-to-event data to use this method and report both relative and absolute effect measures.

IntroductionWhile nearly half of all new psychotic disorders are diagnosed in the emergency department (ED), most young people who present to the ED with psychosis do not receive timely follow-up with a psychiatrist, and even fewer with evidence-based early psychosis intervention (EPI) services. We aim to test an intervention delivered using short message service (SMS), a low-cost, low-complexity, youth-friendly approach, to improve transitions from the ED to EPI services.Methods and analysisThis is a protocol for a pragmatic randomised, single blind, controlled trial with accompanying economic and qualitative evaluations conducted at the Centre for Addiction and Mental Health (CAMH) in Toronto, Canada. A consecutive series of 186 participants aged 16–29 referred by the ED to CAMH’s EPI programme will be recruited for a trial of a two-way intervention involving reminders, psychoeducation and check-ins delivered via SMS. The primary outcome will be attendance at the first consultation appointment within 30 days of study enrolment assessed through chart reviews in the electronic health record. We will also extract routine clinical measures, including the Brief Psychiatric Rating Scale, Clinical Global Impression and Service Engagement Scale, and link with provincial health administrative data to examine system-level outcomes, including ED visits and psychiatric hospitalisations, 6 months and up to 2 years after baseline. We will perform a cost-effectiveness analysis of the primary study outcome and costs incurred, calculating an incremental cost effectiveness ratio. Web-based surveys and qualitative interviews will explore intervention user experience. Patients and families with lived experience will be engaged in all aspects of the project.Ethics and disseminationResearch Ethics Board approval has been obtained. Findings will be reported in scientific journal articles and shared with key stakeholders including youth, family members, knowledge users and decision makers.Trial registration numberNCT04298450.

Introduction: Telepsychiatry can improve access to psychiatric services for those who otherwise cannot easily access care. Family physicians are gatekeepers to specialized care in Ontario, so it is essential to understand predictors relating to referrals to telepsychiatry to better plan services and increase telepsychiatry adoption. Methods: This study used an annual retrospective cross-sectional study design to compare physicians who referred their patients to telepsychiatry each year from fiscal year (FY) 2008 to FY 2016. A 1-year (FY 2016) comparison of family physicians who referred to telepsychiatry (FPTs) compared to family physicians who did not refer to telepsychiatry (FPNTs) matched (1:2) by region was also conducted. Finally, we used statistical modeling to understand the predictors of referring to telepsychiatry among physicians. Results: Between FY 2008 and FY 2016, the number of patients receiving telepsychiatry increased from 925 visits to 13,825 visits. Thirty-two percent of Ontario primary care physicians referred to telepsychiatry in 2016. Several characteristics were notably different between FPTs and FPNTs: FPTs were more likely to be from a residence with less than 10,000 people, to have more nurse practitioners in the practice, and to be from a family health team than FPNTs. Rostered patients of FPTs were more likely to reside in rural areas, have more clinical complexity, and to utilize more mental health services compared to FPNTs. Conclusions: There has been an increase in the use of telepsychiatry by patients and family physicians over the study period, although there remains opportunity for significant growth. Family physicians who live in rural areas, are part of an FHT, have more NPs, with more rural and complex patients were more likely to refer to telepsychiatry. As recent pro-telemedicine policies support the growth of telepsychiatry, this study will serve as an important baseline.

IntroductionWhile early psychosis intervention (EPI) has proliferated in recent years amid evidence of its effectiveness, programmes often struggle to deliver consistent, recovery-based care. NAVIGATE is a manualised model of EPI with demonstrated effectiveness consisting of four components: individualised medication management, individual resiliency training, supported employment and education and family education. We aim to implement NAVIGATE in geographically diverse EPI programmes in Ontario, Canada, evaluating implementation and its effect on fidelity to the EPI model, as well as individual-level outcomes (patient/family member-reported and interviewer-rated), system-level outcomes (captured in provincial administrative databases) and engagement of participants with lived experience.Methods and analysisThis is a multisite, non-randomised pragmatic hybrid effectiveness-implementation type III mixed methods study coordinated at the Centre for Addiction and Mental Health (CAMH) in Toronto. Implementation is supported by the Provincial System Support Program, a CAMH-based programme with provincial offices across Ontario, and Extension of Community Healthcare Outcomes Ontario Mental Health at CAMH and the University of Toronto. The primary outcome is fidelity to the EPI model as measured using the First Episode Psychosis Services—Fidelity Scale. Four hundred participants in the EPI programmes will be recruited and followed using both individual-level assessments and health administrative data for 2 years following NAVIGATE initiation. People with lived experience will be engaged in all aspects of the project, including through youth and family advisory committees.Ethics and disseminationResearch ethics board approval has been obtained from CAMH and institutions overseeing the local EPI programmes. Study findings will be reported in scientific journal articles and shared with key stakeholders including youth, family members, programme staff and policymakers.Trial registration numberNCT03919760.

Objectives:Relatively little is known about how health-care utilization differs among individuals with psychological distress compared to those with major depressive disorder (MDD).Methods:Ontario participants of the Canadian Community Health Survey Cycle 1.2 (2002) were linked to health administrative data to follow their health-care utilization patterns for up to 15 years. Based on their survey responses, we classified individuals hierarchically into Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria MDD, psychological distress (Kessler-6: 8 to 24), or an unexposed group with neither condition. We compared the rates of outpatient and acute care mental and nonmental health-related visits across the 3 groups over time using Poisson regression.Results:Among the 430 individuals with MDD, 668 with psychological distress, and 9,089 in the unexposed group, individuals with MDD and psychological distress had higher rates of health-care utilization than the unexposed overall and across time. The rates of psychiatrist visits for the MDD group were significantly higher than the other groups initially but declined over the follow-up. Conversely, the rates of psychiatrist visits among the psychological distress group increased over time and converged with that of the MDD group by the end of follow-up (rate ratioMDD vs. psychological distressat 1 year: 4.20 [1.97 to 11.40]; at 15 years: 1.53 [0.54 to 4.08]). Acute care visits were similar between the MDD and psychological distress groups at all time points.Conclusions:Individuals with psychological distress required mental health care rivalling that of individuals with MDD over time, suggesting that even a cross-sectional assessment of significant psychological distress is a serious clinical concern.

Background Advanced cancer stage at diagnosis may explain high cancer mortality among patients with a severe psychiatric illness (SPI). Studies to date investigating advanced stage cancer at diagnosis as a potential explanation for high cancer mortality in individuals with a history of mental illness have been inconclusive. We examined the relationship between a SPI history and unknown cancer stage at diagnosis in colorectal cancer (CRC) patients. Methods This was a population-based, cross-sectional study using linked administrative databases of CRC patients diagnosed between 01/04/2007 and 31/12/2012. Individuals who had a history of mental illness but did not meet the definition of a SPI were excluded. An SPI was measured in the 5 years prior to the cancer diagnosis and categorized as inpatient, outpatient or no SPI. Individuals with a best stage in Stage 0 to Stage IV were considered staged and absence of staging information was defined as unknown stage. The risk of unknown stage cancer was estimated using modified Poisson regression. Results The final study cohort included 24,507 CRC patients. 258 (1.1%) individuals experienced a history of inpatient SPI and 482 (2.0%) experienced outpatient SPI. After adjusting for confounders, CRC patients with an inpatient or outpatient history of SPI were at greater risk of having missing TNM stage at diagnosis, compared to patients with no history of a mental illness (RR 1.45 (95% CI: 1.14–1.85) and RR1.17 (95% CI 0.95–1.43), respectively). The results did not change when alternate practices to assign SPI history using administrative data were used. Conclusions Individuals with an SPI, especially those with a psychiatric admission, were more likely to have missing stage data compared to individuals without a history of a mental illness. Incomplete and low quality cancer staging data likely undermines the quality of cancer care following initial diagnosis. Understanding why patients with an SPI are missing this information is a critical first step to providing excellent care to this vulnerable population.

Background Psychiatric illness complicates the clinical course of opioid use disorder (OUD) including treatment using medication for OUD (MOUD). The purpose of this study was to assess the relationship between psychiatric comorbidity and MOUD discontinuation, stratified by whether the client dropped out of treatment or whether MOUD was terminated by the addiction facility. Methods The study population consisted of individuals with OUD receiving MOUD. Data was derived from the 2015–2017 Treatment Episodes Dataset – Discharges (TEDS-D), which includes discharge records from addiction treatment centers across the United States. The association between psychiatric comorbidity and MOUD discontinuation (including client dropout and facility termination) was assessed using multivariable logistic regression models that included clinically relevant covariates (age, sex, race, education, employment status, living arrangement, prior addiction treatment, intravenous opioid use, primary opioid used at admission, polysubstance use, previous arrests, length of stay, and referral source). Results Psychiatric comorbidity decreased the odds of client dropout (adjusted odds ratio (aOR): 0.88, 95 % confidence interval (CI): 0.86 – 0.89) but increased the odds of MOUD being terminated by the treatment facility (aOR: 1.59, 95 % CI: 1.56–1.63). The association between psychiatric comorbidity and MOUD discontinuation varied considerably between states. Conclusions Individuals with psychiatric illness are slightly less likely to drop out of MOUD treatment but are more likely to have their treatment prematurely terminated by the treatment facility. This emphasizes the importance of considering psychiatric illness when providing OUD treatment and suggests that measures to improve MOUD retention for individuals with psychiatric illness are required.

Background Gender inequality varies across countries and is associated with poor outcomes including violence against women and depression. Little is known about the relationship of source county gender inequality and poor health outcomes in female immigrants. Methods We used administrative databases to conduct a cohort study of 299,228 female immigrants ages 6–29 years becoming permanent residence in Ontario, Canada between 2003 and 2017 and followed up to March 31, 2020 for severe presentations of suffering assault, and selected mental health disorders (mood or anxiety, self-harm) as measured by hospital visits or death. Poisson regression examined the influence of source-country Gender Inequality Index (GII) quartile (Q) accounting for individual and country level characteristics. Results Immigrants from countries with the highest gender inequality (GII Q4) accounted for 40% of the sample, of whom 83% were from South Asia (SA) or Sub-Saharan Africa (SSA). The overall rate of assault was 10.9/10,000 person years (PY) while the rate of the poor mental health outcome was 77.5/10,000 PY. Both GII Q2 (Incident Rate Ratio (IRR): 1.48, 95% Confidence Interval (CI): 1.08, 2.01) and GII Q4 (IRR: 1.58, 95%CI: 1.08, 2.31) were significantly associated with experiencing assault but not with poor mental health. For females from countries with the highest gender inequality, there were significant regional differences in rates of assault, with SSA migrants experiencing high rates compared with those from SA. Relative to economic immigrants, refugees were at increased risk of sustaining assaults (IRR: 2.96, 95%CI: 2.32, 3.76) and poor mental health (IRR: 1.73, 95%CI: 1.50, 2.01). Higher educational attainment (bachelor’s degree or higher) at immigration was protective (assaults IRR: 0.64, 95%CI: 0.51, 0.80; poor mental health IRR: 0.69, 95% CI: 0.60, 0.80). Conclusion Source country gender inequality is not consistently associated with post-migration violence against women or severe depression, anxiety and self-harm in Ontario, Canada. Community-based research and intervention to address the documented socio-demographic disparities in outcomes of female immigrants is needed.

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.

Recognition of ADHD in the adult population is relatively recent. Epidemiological research examining the mental health impact of ADHD in adulthood is thus limited. The objective of this study was to examine whether adult ADHD symptoms are associated with psychological distress, hazardous drinking, and problem gambling, after controlling for traumatic brain injury and sociodemographic characteristics. We analyzed data from a population-based survey administered in 2015 and 2016 to adults aged 18 years and over in Ontario, Canada (N = 3,817). Logistic regression was used to construct unadjusted and multivariable models for each of the three focal relationships. In the unadjusted models, ADHD symptoms were significantly related to psychological distress (OR = 9.3; 95% CI:6.1, 14.0) and hazardous drinking (OR = 2.1; 95% CI: 1.3, 3.4), but not to problem gambling (OR = 1.5; 0.5, 4.3). After adjustment, ADHD symptoms were significantly related to psychological distress (OR = 7.1; 95% CI: 4.6, 11.1), but not hazardous drinking (OR = 1.4; 95% CI: 0.8, 2.5) or problem gambling (OR = 0.6; 95% CI: 0.2, 2.5). This study further highlights the importance of clinicians assessing for concomitant ADHD and psychological distress in adults.

Background Mental health, substance use/addiction and violence (MSV) are important issues affecting the well-being of Indigenous People in Canada. This paper outlines the protocol for a research-to-action program called the Mental Wellness Program (MWP). The MWP aims to increase community capacity, promote relationship-building among communities, and close gaps in services through processes that place value on and supports Indigenous communities’ rights to self-determination and control. The MWP involves collecting and using local data to develop and implement community-specific mental wellness strategies in five First Nations in Ontario. Methods The MWP has four key phases. Phase 1 (data collection) includes a community-wide survey to understand MSV issues, service needs and community strengths; in-depth interviews with individuals with lived experiences with MSV issues to understand, health system strengths, service gaps and challenges, as well as individual and community resilience factors; and focus groups with service providers to improve understanding of system weaknesses and strengths in addressing MSV. Phase 2 (review and synthesis) involves analysis of results from these local data sources and knowledge-sharing events to identify a priority area for strategic development based on local strengths and need. Phase 3 (participatory action research approach) involves community members, including persons with lived experience, working with the community and local service providers to develop, implement, and evaluate the MWP to address the selected priority area. Phase 4 (share) is focused on developing and implementing effective knowledge-sharing initiatives. Guidelines and models for building the MWP are shared regionally and provincially through forums, webinars, and social media, as well as cross-community mentoring. Discussion MWP uses local community data to address MSV challenges by building on community supports and resilience factors. Drawing on local data and each community's system of formal and informal supports, the program includes sharing exemplary knowledge-to-action models and wellness strategies developed by and for First Nations people that can be used by other First Nations to identify shared wellness priorities in each community, and determine and execute next steps in addressing areas of main concern.

Background:Cardiovascular disease is a major source of mortality in schizophrenia, and access to care after acute myocardial infarction (AMI) is poor for these patients.Aims:To understand the relationship between schizophrenia and access to coronary revascularization and the impact of revascularization on mortality among individuals with schizophrenia and AMI.Method:This study used a retrospective cohort of AMI in Ontario between 2008 and 2015. The exposure was a diagnosis of schizophrenia, and patients were followed 1 year after AMI discharge. The primary outcome was all-cause mortality within 1 year. Secondary outcomes were cardiac catheterization and revascularization (percutaneous coronary intervention or coronary artery bypass graft). Cox proportional hazard regression models were used to study the relationship between schizophrenia and mortality, and the time-varying effect of revascularization.Results:A total of 108,610 cases of incident AMI were identified, among whom 1,145 (1.1%) had schizophrenia. Schizophrenia patients had increased mortality, with a hazard ratio (HR) of 1.55 (95% CI, 1.37 to 1.77) when adjusted for age, sex, income, rurality, geographic region, and comorbidity. After adjusting for time-varying revascularization, the HR reduced to 1.38 (95% CI, 1.20 to 1.58). The impact of revascularization on mortality was similar among those with and without schizophrenia (HR: 0.42; 95% CI, 0.41 to 0.44 vs. HR: 0.40; 95% CI, 0.26 to 0.61).Conclusions:In this sample of AMI, mortality in schizophrenia is increased, and treatment with revascularization reduces the HR of schizophrenia. The higher mortality rate yet similar survival benefit of revascularization among individuals with schizophrenia relative to those without suggests that increasing access to revascularization may reduce the elevated mortality observed in individuals with schizophrenia.

Objectives The efficacy of brief interventions for cannabis use was assessed in a systematic review and meta-analyses. Methods Systematic searches in academic databases were conducted, and reference lists of included studies were reviewed. Randomized trials were included that compared brief interventions with minimal control interventions for improving cannabis-specific outcomes among participants recruited from healthcare settings. Mean differences (MDs) based on change-from-baseline measurements were pooled using random-effects meta-analyses, with stratification by short term (≤3 months) and long term (>3 months). Results Ten reports from 9 studies were included. Most studies were conducted in the United States, including participants who were adults and were recruited from primary care or emergency departments. There were no significant effects of brief interventions on cannabis-specific Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) scores in the short term (MD -1.27 points; 95% confidence interval [CI] -3.75, 1.21; I 84.40%). The null pattern of findings was also observed for number of days of cannabis use in the past 30 days in the short term (MD -0.22 days; 95% CI -2.27, 1.82; I 60.30%) and long term (MD -0.28 days; 95% CI -2.42, 1.86; I 60.50%). The evidence base for other outcomes not subjected to meta-analyses was limited and mixed. Conclusions Brief interventions did not result in reductions in cannabis-specific ASSIST scores or number of days of cannabis use, whereas the evidence base for other outcomes was limited and mixed. As such, brief interventions in healthcare settings may not be efficacious for cannabis use.

Background North America has been experiencing a persistent epidemic of opioid-related overdose mortality, which has increasingly been driven by fatalities from illicit, toxic opioids in most recent years. Patterns of synthetic opioid availability and related mortality are heterogeneous across Canada, and differing explanations exist as to their differentiated proliferation. We examined the perspective that heterogeneous province-based variations in prescription opioid availability, facilitated by various control strategies, post-2010 may have created regionally differential supply gaps for non-medical opioid use substituted by synthetic opioid products with differential impacts on mortality risks and outcomes in Canada. Methods We examined annual, prescription opioid dispensing rates and changes in the ten Canadian provinces (for the periods of 1) 2011–2018, 2) ‘peak-year’-to-2018) in Defined Daily Doses/1000 population/day, derived from data from a large representative, stratified sample of community pharmacies projected to a Canada total. Annual, provincial opioid-related mortality rates and changes for years 2016–2018 were calculated from federal data. We computed correlation values (Pearson’s R) between respective province-based change rates for prescription opioid dispensing and opioid-related mortality for the two over-time scenarios. Results All but one province featured reductions in prescription opioid dispensing 2011–2018; seven of the ten provinces had increases in opioid mortality 2016–2018. The correlation between changes in opioid dispensing (2011–2018) and in opioid-mortality (2016–2018) was r = 0.63 (df = 8, p-value: 0.05); the correlation was r = 0.57 (df = 8, p-value: 0.09) for changes in opioid dispensing ‘peak year’-to-2018, respectively. Conclusions Quasi-significant results indicate that recent increases in opioid-related deaths driven by illicit, synthetic opioids tended to be larger in provinces where reductions in prescription opioid availability have been more extensive. It is a plausible explanation that these reductions created supply gaps for non-medical opioid use increasingly filled by illicit, synthetic opioids differentially contributing to opioid-related deaths, generating un-intended adverse effects for previous interventions. General prevention measures to reduce opioid availability, and targeted prevention for at-risk opioid users exposed to toxic drug supply may be include counteractive effects and require coordinated reconciliation.

BackgroundAs life expectancy increases, more people have chronic psychiatric and medical health disorders. Comorbidity may increase the risk of premature mortality, an important challenge for health service delivery.MethodsPopulation-based cohort study in Ontario, Canada of all 11 246 910 residents aged ⩾16 and ® (v10.0); ADG 25: Persistent/Recurrent unstable conditions; e.g. acute schizophrenic episode, major depressive disorder (recurrent episode), ADG 24: Persistent/Recurrent stable conditions; e.g. depressive disorder, paranoid personality disorder, ADG 23: Time-limited/minor conditions; e.g. adjustment reaction with brief depressive reaction. The outcome was all-cause mortality (April 2014–March 2016).ResultsOver 2 years' follow-up, there were 188 014 deaths (1.7%). ADG 25 conferred an almost threefold excess mortality after adjustment compared to having no psychiatric morbidity [adjusted hazard ratio 2.94 (95% CI 2.91–2.98, p < 0.0001)]. Adjusted hazard ratios for ADG 24 and ADG 23 were 1.12 (95% CI 1.11–1.14, p < 0.0001) and 1.31 (95% CI 1.26–1.36, p < 0.0001). In all 10 medical disorder cohorts, ADG 25 carried significantly greater mortality risk compared to no psychiatric comorbidity.ConclusionsPsychiatric disorders, particularly those graded persistent/recurrent and unstable, were associated with excess mortality in the whole population, and in the medical disorder cohorts examined. Future research should examine whether service design accounting for psychiatric disorder comorbidity improves outcomes across the spectrum of medical disorders.

Background:Depressive disorders are significantly more common in the medically ill compared to the general population. Depression is associated with worsening of physical symptoms, greater healthcare utilization and poorer treatment adherence. The present paper provides a critical review on the assessment and management of depression in the medically ill.Methods:Relevant articles pertaining to depression in the medically ill were identified, reviewed and synthesized qualitatively. A systematic review was not performed due to the large breadth of this topic, making a meaningful summary of all published and unpublished studies not feasible. Notable studies were reviewed and synthesized by a diverse set of experts to provide a balanced summary.Results:Depression is frequently under-recognized in medical settings. Differential diagnoses include delirium, personality disorders and depressive disorders secondary to substances, medications or another medical condition. Depressive symptoms in the context of an adjustment disorder should be initially managed by supportive psychological approaches. Once a mild to moderate major depressive episode is identified, a stepped care approach should be implemented, starting with general psychoeducation, psychosocial interventions and ongoing monitoring. For moderate to severe symptoms, or mild symptoms that are not responding to low-intensity interventions, the use of antidepressants or higher intensity psychotherapeutic interventions should be considered. Psychotherapeutic interventions have demonstrated benefits with small to moderate effect sizes. Antidepressant medications have also demonstrated benefits with moderate effect sizes; however, special caution is needed in evaluating side effects, drug–drug interactions as well as dose adjustments due to impairment in hepatic metabolism and/or renal clearance. Novel interventions for the treatment of depression and other illness-related psychological symptoms (e.g. death anxiety, loss of dignity) are under investigation.Limitations:Non-systematic review of the literature.Conclusion:Replicated evidence has demonstrated a bidirectional interaction between depression and medical illness. Screening and stepped care using pharmacological and non-pharmacological interventions is merited.

Although a cancer diagnosis during the adolescent and young adult (AYA) years is a traumatic event, and psychiatric disorders generally manifest during the AYA period, the impact of a cancer diagnosis on long-term mental health outcomes in this population is not well characterized. We conducted a systematic review and meta-analysis to determine if survivors of AYA cancers are more likely to develop psychiatric disorders. A systematic literature search of five databases, MEDLINE, CINAHL, Web of Science, EMBASE, and PsycINFO, was conducted from their inception to November 2018. The outcome measures were psychiatric disorders as per the Diagnostic Statistical Manual criteria, or psychiatric medication use. Study eligibility, appraisal, and data abstraction were independently conducted by two reviewers. Of 7934 total studies, four met eligibility criteria for the systematic review, three of which were included in the meta-analysis. Compared to cancer-free controls, survivors were at an elevated risk of mood disorders (odds ratio [OR] 1.36; 95% CI 1.19-1.55) and anxiety disorders (OR 1.16; 95% CI 1.05-1.28), but not substance-related disorders, (OR 0.88; 95% CI 0.63-1.22). The most commonly identified risk factors were the female sex and older age at diagnosis. We found higher odds of anxiety and mood disorders in AYA-onset cancer survivors. However, few AYA-specific studies currently exist that analyze psychiatric disorders using consistent and standardized methods. Additional studies confirming these findings are warranted.