Microsimulation Models on Mental Health: A Critical Review of the Literature.

OBJECTIVES: To retrieve and synthesize the literature on existing mental health-specific microsimulation models or generic microsimulation models used to examine mental health, and to critically appraise them. METHODS: All studies on microsimulation and mental health published in English in MEDLINE, Embase, PsycINFO, and EconLit between January 1, 2010, and September 30, 2022, were considered. Snowballing, Google searches, and searches on specific journal websites were also undertaken. Data extraction was done on all studies retrieved and the reporting quality of each model was assessed using the Quality Assessment Reporting for Microsimulation Models checklist, a checklist developed by the research team. A narrative synthesis approach was used to synthesize the evidence. RESULTS: Among 227 potential hits, 19 studies were found to be relevant. Some studies covered existing economic-demographic models, which included a component on mental health and were used to answer mental-health-related research questions. Other studies were focused solely on mental health and included models that were developed to examine the impact of specific policies or interventions on specific mental disorders or both. Most models examined were of medium quality. The main limitations included the use of model inputs based on self-reported and/or cross-sectional data, small and/or nonrepresentative samples and simplifying assumptions, and lack of model validation. CONCLUSIONS: This review found few high-quality microsimulation models on mental health. Microsimulation models developed specifically to examine mental health are important to guide healthcare delivery and service planning. Future research should focus on developing high-quality mental health-specific microsimulation models with wide applicability and multiple functionalities.

Child health and its effect on adult social capital accumulation.

Although studies have demonstrated important effects of poor health in childhood on stocks of human and health capital, little research has tested economic theories to investigate the effect of child health on social capital in adulthood. Studies on the influence of child health on adult social capital are mixed and have not used sibling fixed effects models to account for unmeasured family and genetic characteristics, that are likely to be important. Using the Add-Health sample, health in childhood was assessed as self-rated health, the occurrence of a physical health condition or mental health condition, while social capital in adulthood was measured as volunteering, religious service attendance, team sports participation, number of friends, social isolation, and social support. We used sibling fixed effects models, which attenuated several associations to non-significance. In sibling fixed effects models there was significant positive effects of greater self-rated health on participation in team sports and social support, and negative effect of mental health in childhood on social isolation in adulthood. These results suggest that children with poor health require additional supports to build and maintain their stock of social capital and highlight further potential benefits to efforts that address poor child health.

An Integrated Care Pathway for depression in adolescents: protocol for a Type 1 Hybrid Effectiveness-implementation, Non-randomized, Cluster Controlled Trial.

INTRODUCTION: Our group developed an Integrated Care Pathway to facilitate the delivery of evidence-based care for adolescents experiencing depression called CARIBOU-2 (Care for Adolescents who Receive Information 'Bout OUtcomes, 2nd iteration). The core pathway components are assessment, psychoeducation, psychotherapy options, medication options, caregiver support, measurement-based care team reviews and graduation. We aim to test the clinical and implementation effectiveness of the CARIBOU-2 pathway relative to treatment-as-usual (TAU) in community mental health settings. METHODS AND ANALYSIS: We will use a Type 1 Hybrid Effectiveness-Implementation, Non-randomized Cluster Controlled Trial Design. Primary participants will be adolescents (planned n = 300, aged 13-18 years) with depressive symptoms, presenting to one of six community mental health agencies. All sites will begin in the TAU condition and transition to the CARIBOU-2 intervention after enrolling 25 adolescents. The primary clinical outcome is the rate of change of depressive symptoms from baseline to the 24-week endpoint using the Childhood Depression Rating Scale-Revised (CDRS-R). Generalized mixed effects modelling will be conducted to compare this outcome between intervention types. Our primary hypothesis is that there will be a greater rate of reduction in depressive symptoms in the group receiving the CARIBOU-2 intervention relative to TAU over 24 weeks as per the CDRS-R. Implementation outcomes will also be examined, including clinician fidelity to the pathway and its components, and cost-effectiveness. ETHICS AND DISSEMINATION: Research ethics board approvals have been obtained. Should our results support our hypotheses, systematic implementation of the CARIBOU-2 intervention in other community mental health agencies would be indicated.

Computer-Based Training for Cognitive Behavioural Therapy for Substance Use Disorder: A Randomized Controlled Trial Including Quantitative and Qualitative Health and Economic Outcomes: Formation informatisée pour la thérapie cognitivo-comportementale pour les troubles liés à l'usage de substances : un essai randomisé contrôlé y compris les résultats quantitatifs et qualitatifs en matière de santé et d'économie.

OBJECTIVES: Heavy alcohol and drug use is reported by a substantial number of Canadians; yet, only a minority of those experiencing substance use difficulties access specialized services. Computer-Based Training for Cognitive Behavioural Therapy (CBT4CBT) offers a low-cost method to deliver accessible and high-quality CBT for substance use difficulties. To date, CBT4CBT has primarily been evaluated in terms of quantitative outcomes within substance use disorder (SUD) samples in the United States. A comparison between CBT4CBT versus standard care for SUDs in a Canadian sample is critical to evaluate its potential for health services in Canada. We conducted a randomized controlled trial of CBT4CBT versus standard care for SUD. METHODS: Adults seeking outpatient treatment for SUD (N = 50) were randomly assigned to receive either CBT4CBT or treatment-as-usual (TAU) for 8 weeks. Measures of substance use and associated harms and quality of life were completed before and after treatment and at 6-month follow-up. Qualitative interviews were administered after treatment and at follow-up, and healthcare utilization and costs were extracted for the entire study period. RESULTS: Participants exhibited improvements on the primary outcome as well as several secondary outcomes; however, there were no differences between groups. A cost-effectiveness analysis found lower healthcare costs in CBT4CBT versus TAU in a subsample analysis, but more days of substance use in CBT4CBT. Qualitative analyses highlighted the benefits and challenges of CBT4CBT. DISCUSSION: Findings supported an overall improvement in clinical outcomes. Further investigation is warranted to identify opportunities for implementation of CBT4CBT in tertiary care settings.Trial Registration: https://clinicaltrials.gov/ct2/show/NCT03767907.

Evaluating a digital intervention targeting substance use difficultiesPlain Language SummaryWhy was the study done?Heavy alcohol and drug use is frequent in the Canadian population, although very few people have access to treatment. The digital intervention, Computer-Based Training for Cognitive Behavioural Therapy (CBT4CBT), may provide a low-cost, high-quality, and easily accessible method of treatment for substance use difficulties. Limited research on this digital intervention has been conducted in Canadian populations, and few studies thus far have evaluated participants' subjective experience using the intervention, along with the cost on the Canadian healthcare system.What did the researchers do?The research team recruited participants and provided access to either CBT4CBT or to standard care at a mental health hospital for 8 weeks. Participants were asked questions about their substance use and related consequences, quality of life, and thoughts on the treatment they received. Information regarding healthcare use and the cost to the healthcare system was also gathered.What did the researchers find?Participants in both groups improved with regards to their substance use, some related consequences, and psychological quality of life. Participants provided insight on the benefits and challenges of both types of treatment. It was also found that the CBT4CBT intervention was less costly.What do these findings mean?These findings support that adults receiving CBT4CBT and standard care both improved to a similar degree in this sample. Participant feedback may inform future studies of how best to implement this intervention in clinical studies. Future studies with larger samples are needed to further examine whether CBT4CBT can increase access to supports and be beneficial in the Canadian healthcare system.

The Economic Burden of Chronic Psychotic Disorders: An Incidence-based Cost-of-Illness Approach.

BACKGROUND: The economic burden of chronic psychotic disorders is substantial. However, few studies have employed an incidence based approach to estimate the economic burden of chronic psychotic disorders. Furthermore, the existing work has mainly used models populated with data obtained from published literature, making several assumptions to estimate incidence-based costs. AIMS OF THE STUDY: The objective of this study was to estimate the direct cumulative mean health care costs of chronic psychotic disorders, using an incidence-based, cost-of-illness approach and real-world data from a single-payer health care system. METHODS: Using health records from Ontario, Canada, all individuals with a valid health card number, residing in the province, and diagnosed with a chronic psychotic disorder between the ages of 16 and 45 from April 1st, 2006, to March 31st, 2021, were included in the analysis. Using a mix of bottom-up and top-down methodologies and a robust cost estimator, cumulative mean health care costs were estimated from diagnosis to death or the end of observation period. Cumulative mean health care costs, and respective 95% confidence intervals (CIs), were estimated for the 1-year period (i.e., first year post-diagnosis), overall, by sex, age groups and health service, and for the 5-, 10- and 15-periods, overall and by sex. RESULTS: One-, 5-, 10- and 15-year total discounted cumulative mean health care costs were estimated at USD 24,441.16, 95% CI (USD 24,166.13, USD 24,716.19), USD 70,754.69, 95% CI (USD 69,827.48-USD 71,681.89), USD 117,136.88, 95% CI (USD 115,370.40-USD 118,903.35), and USD 157,829.01 95% CI (USD 155,599.32.-USD 160,058.70), respectively. Total mean 1-year costs post-diagnosis were higher for younger individuals. Although females had higher 1-year costs, males had higher 5-, 10- and 15-year costs. Psychiatric hospitalisations made up the largest component of total costs across all cost estimates. DISCUSSION: These results suggest that the costs of chronic psychotic disorders are high in the year of diagnosis and then increase at a decreasing rate thereafter. Compared to previous work, the cost estimates from the present study suggest that the use of real-world data produces lower estimates of cumulative costs, albeit likely more accurate ones. However, these estimates do not account for costs of care provided in community-based agencies. IMPLICATIONS FOR HEALTH POLICIES: These estimates will serve as important inputs for policymakers looking to make decisions around resource allocation. IMPLICATIONS FOR FUTURE RESEARCH: Future research should seek to follow incident cases in administrative data over a longer time period to obtain cumulative costs of longer duration.

COVID-19 Pandemic, Physical Distancing Policies, and the Non-Profit Sector Volunteer Force.

Although COVID-19-related physical distancing has had large economic consequences, the impact on volunteerism is unclear. Using volunteer position postings data from Canada's largest volunteer center (Volunteer Toronto) from February 3, 2020, to January 4, 2021, we evaluated the impact of different levels of physical distancing on average views, total views, and total number of posts. There was about a 50% decrease in the total number of posts that was sustained throughout the pandemic. Although a more restrictive physical distancing policy was generally associated with fewer views, there was an initial increase in views during the first lockdown where total views were elevated for the first 4 months of the pandemic. This was driven by interest in COVID-19-related and remote work postings. This highlights the community of volunteers may be quite flexible in terms of adapting to new ways of volunteering, but substantial challenges remain for the continued operations of many non-profit organizations.

Attributable Costs of Stroke in Ontario, Canada and Their Variation by Stroke Type and Social Determinants of Health.

BACKGROUND: Estimates of attributable costs of stroke are scarce, as most prior studies do not account for the baseline health care costs in people at risk of stroke. We estimated the attributable costs of stroke in a universal health care setting and their variation across stroke types and several social determinants of health. METHODS: We undertook a population-based administrative database-derived matched retrospective cohort study in Ontario, Canada. Community-dwelling adults aged ≥40 years with a stroke between 2003 and 2018 were matched (1:1) on demographics and comorbidities with controls without stroke. Using a difference-in-differences approach, we estimated the mean 1-year direct health care costs attributable to stroke from a public health care payer perspective, accounting for censoring with a weighted available sample estimator. We described health sector-specific costs and reported variation across stroke type and social determinants of health. RESULTS: The mean 1-year attributable costs of stroke were Canadian dollars 33 522 (95% CI, $33 231-$33 813), with higher costs for intracerebral hemorrhage ($40 244; $39 193-$41 294) than ischemic stroke ($32 547; $32 252-$32 843). Most of these costs were incurred in acute care hospitals ($15 693) and rehabilitation facilities ($7215). Compared with all patients with stroke, the mean attributable costs were higher among immigrants ($40 554; $39 316-$41 793), those aged <65 years ($35 175; $34 533-$35 818), and those residing in low-income neighborhoods ($34 687; $34 054-$35 320) and lower among rural residents ($29 047; $28 362-$29 731). CONCLUSIONS: Our findings of high attributable costs of stroke, especially in immigrants, younger patients, and residents of low-income neighborhoods, can be used to evaluate potential health care cost savings associated with different primary stroke prevention strategies.

Multimorbidity clusters among people with serious mental illness: a representative primary and secondary data linkage cohort study.

BACKGROUND: People with serious mental illness (SMI) experience higher mortality partially attributable to higher long-term condition (LTC) prevalence. However, little is known about multiple LTCs (MLTCs) clustering in this population. METHODS: People from South London with SMI and two or more existing LTCs aged 18+ at diagnosis were included using linked primary and mental healthcare records, 2012-2020. Latent class analysis (LCA) determined MLTC classes and multinominal logistic regression examined associations between demographic/clinical characteristics and latent class membership. RESULTS: The sample included 1924 patients (mean (s.d.) age 48.2 (17.3) years). Five latent classes were identified: 'substance related' (24.9%), 'atopic' (24.2%), 'pure affective' (30.4%), 'cardiovascular' (14.1%), and 'complex multimorbidity' (6.4%). Patients had on average 7-9 LTCs in each cluster. Males were at increased odds of MLTCs in all four clusters, compared to the 'pure affective'. Compared to the largest cluster ('pure affective'), the 'substance related' and the 'atopic' clusters were younger [odds ratios (OR) per year increase 0.99 (95% CI 0.98-1.00) and 0.96 (0.95-0.97) respectively], and the 'cardiovascular' and 'complex multimorbidity' clusters were older (ORs 1.09 (1.07-1.10) and 1.16 (1.14-1.18) respectively). The 'substance related' cluster was more likely to be White, the 'cardiovascular' cluster more likely to be Black (compared to White; OR 1.75, 95% CI 1.10-2.79), and both more likely to have schizophrenia, compared to other clusters. CONCLUSION: The current study identified five latent class MLTC clusters among patients with SMI. An integrated care model for treating MLTCs in this population is recommended to improve multimorbidity care.

Association Between Smoking Cessation Treatment and Healthcare Costs in a Single-Payer Public Healthcare System.

INTRODUCTION: There has been little investigation of whether the clinical effectiveness of smoking cessation treatments translates into differences in healthcare costs, using real-world cost data, to determine whether anticipated benefits of smoking cessation treatment are being realized. AIMS AND METHODS: We sought to determine the association between smoking cessation treatment and healthcare costs using linked administrative healthcare data. In total, 4752 patients who accessed a smoking cessation program in Ontario, Canada between July 2011 and December 2012 (treatment cohort) were each matched to a smoker who did not access these services (control cohort). The primary outcome was total healthcare costs in Canadian dollars, and secondary outcomes were sector-specific costs, from one year prior to the index date until December 31, 2017, or death. Costs were partitioned into four phases: pretreatment, treatment, posttreatment, and end-of-life for those who died. RESULTS: Among females, total healthcare costs were similar between cohorts in pretreatment and posttreatment phases, but higher for the treatment cohort during the treatment phase ($4,554 vs. $3,237, p < .001). Among males, total healthcare costs were higher in the treatment cohort during pretreatment ($3,911 vs. $2,784, p < .001), treatment ($4,533 vs. $3,105, p < .001) and posttreatment ($5,065 vs. $3,922, p = .001) phases. End-of-life costs did not differ. Healthcare sector-specific costs followed a similar pattern. CONCLUSIONS: Five-year healthcare costs were similar between females who participated in a treatment program versus those that did not, with a transient increase during the treatment phase only. Among males, treatment was associated with persistently higher healthcare costs. Further study is needed to address the implications with respect to long-term costs. IMPLICATIONS: The clinical effectiveness of pharmacological and behavioral smoking cessation treatments is well established, but whether such treatments are associated with healthcare costs, using real-world data, has received limited attention. Our findings suggest that the use of a smoking cessation treatment offered by their health system is associated with persistent higher healthcare costs among males but a transient increase among females. Given increasing access to evidence-based smoking cessation treatments is an important component in national tobacco control strategies, these data highlight the need for further exploration of the relations between smoking cessation treatment engagement and healthcare costs.

Understanding the scope of preventable acute care spending among patients with eating disorders.

OBJECTIVE: The economic burden of eating disorders is substantial. One potential way to reduce costs, without sacrificing care, may be to target preventable (i.e., potentially unnecessary) acute care. This study sought to determine the amount and proportion of preventable and non-preventable acute care spending among individuals with eating disorders. METHOD: We undertook a population-based, cross-sectional study of all individuals over the age of 17 with eating disorders (diagnosed through hospitalization) in Ontario, Canada, to determine potentially preventable and non-preventable acute care spending. Preventable acute care (i.e., preventable emergency department visits and hospitalizations) was defined using previously validated algorithms. We undertook analyses for the full sample, by sex and by eating disorder diagnosis (anorexia nervosa, bulimia nervosa, eating disorder not otherwise specified, multiple). RESULTS: Among 7547 individuals with eating disorders, 15% of all acute care spending (i.e., $1.33 million) was considered preventable; this figure was higher for females (14%) and those with bulimia nervosa (21%). Among emergency department visits, 25% of visits were considered preventable; the largest proportions were for non-emergent (11%) and primary care treatable (10%) conditions. Among hospitalizations, 9% were considered preventable; the highest proportions of preventable care spending were for short-term diabetes complications (1.8%) and urinary tract infections (1.8%). DISCUSSION: Although the economic burden of eating disorders is substantial, there is some scope to decrease acute care spending among this patient population. Care coordination and improved access to primary care and disease prevention, particularly related to diabetes, may help prevent the occurrence of some acute care episodes. PUBLIC SIGNIFICANCE: Many jurisdictions have implemented strategies to reduce costs and improve the quality of care among patients with high health care needs, such as those with eating disorders; however, it is unclear whether any costs can be reduced and, if so, which costs. Cost-savings resulting from the reduction of unnecessary care could provide further economic justification for increased investment in outpatient care for individuals with eating disorders.

Primary care-based smoking cessation treatment and subsequent healthcare service utilisation: a matched cohort study of smokers using linked administrative healthcare data.

BACKGROUND: No 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. OBJECTIVE: We 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. METHODS: The 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. RESULTS: After 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. CONCLUSIONS: Patients 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.

The relationship between rurality, travel time to care and death by suicide.

BACKGROUND: We previously found an association between rurality and death by suicide, where those living in rural areas were more likely to die by suicide. One potential reason why this relationship exists might be travel time to care. This paper examines the relationship between travel time to both psychiatric and general hospitals and suicide, and then determine whether travel time to care mediates the relationship between rurality and suicide. METHODS: This is a population-based nested case-control study. Data from 2007 to 2017 were obtained from administrative databases held at ICES, which capture all hospital and emergency department visits across Ontario. Suicides were captured using vital statistics. Travel time to care was calculated from the resident's home to the nearest hospital based on the postal codes of both locations. Rurality was measured using Metropolitan Influence Zones. RESULTS: For every hour in travel time a male resides from a general hospital, their risk of death by suicide doubles (AOR = 2.08, 95% CI = 1.61-2.69). Longer travel times to psychiatric hospitals also increases risk of suicide among males (AOR = 1.03, 95%CI = 1.02-1.05). Travel time to general hospitals is a significant mediator of the relationship between rurality and suicide among males, accounting for 6.52% of the relationship between rurality and increased risk of suicide. However, we also found that there is effect modification, where the relationship between travel time and suicide is only significant among males living in urban areas. CONCLUSIONS: Overall, these findings suggest that males who must travel longer to hospitals are at a greater risk of suicide compared to those who travel a shorter time. Furthermore, travel time to care is a mediator of the association between rurality and suicide among males.

Protocol for an economic evaluation of scalable strategies to improve mental health among perinatal women: non-specialist care delivered via telemedicine vs. specialist care delivered in-person.

BACKGROUND: Perinatal depression affects an estimated 1 in 5 women in North America during the perinatal period, with annualized lifetime costs estimated at $20.6 billion CAD in Canada and over $45.9 billion USD in the US. Access to psychological treatments remains limited for most perinatal women suffering from depression and anxiety. Some barriers to effective care can be addressed through task-sharing to non-specialist providers and through telemedicine platforms. The cost-effectiveness of these strategies compared to traditional specialist and in-person models remains unknown. This protocol describes an economic evaluation of non-specialist providers and telemedicine, in comparison to specialist providers and in-person sessions within the ongoing Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT) trial. METHODS: The economic evaluation will be undertaken alongside the SUMMIT trial. SUMMIT is a pragmatic, randomized, non-inferiority trial across five North American study sites (N = 1,226) of the comparable effectiveness of two types of providers (specialist vs. non-specialist) and delivery modes (telemedicine vs. in-person) of a behavioural activation treatment for perinatal depressive and anxiety symptoms. The primary economic evaluation will be a cost-utility analysis. The outcome will be the incremental cost-effectiveness ratio, which will be expressed as the additional cost required to achieve an additional quality-adjusted life-year, as assessed by the EuroQol 5-Dimension 5-Level instrument. A secondary cost-effectiveness analysis will use participants' depressive symptom scores. A micro-costing analysis will be conducted to estimate the resources/costs required to implement and sustain the interventions; healthcare resource utilization will be captured via self-report. Data will be pooled and analysed using uniform price and utility weights to determine cost-utility across all trial sites. Secondary country-specific cost-utility and cost-effectiveness analyses will also be completed. Sensitivity analyses will be conducted, and cost-effectiveness acceptability-curves will be generated, in all instances. DISCUSSION: Results of this study are expected to inform key decisions related to dissemination and scale up of evidence-based psychological interventions in Canada, the US, and possibly worldwide. There is potential impact on real-world practice by informing decision makers of the long-term savings to the larger healthcare setting in services to support perinatal women with common mental health conditions.

Adult Psychiatric Hospitalizations in Ontario, Canada Before and During the COVID-19 Pandemic.

OBJECTIVE: The impacts of the COVID-19 pandemic on psychiatric hospitalizations in Ontario are unknown. The purpose of this study was to identify changes to volumes and characteristics of psychiatric hospitalizations in Ontario during the COVID-19 pandemic. METHODS: A time series analysis was done using psychiatric hospitalizations with admissions dates from July 2017 to September 2021 identified from provincial health administrative data. Variables included monthly volumes of hospitalizations as well as proportions of stays <3 days and involuntary admissions, overall and by diagnosis (mood, psychotic, addiction, and other disorders). Changes to trends during the pandemic were tested using linear regression. RESULTS: A total of 236,634 psychiatric hospitalizations were identified. Volumes decreased in the first few months of the pandemic before returning to prepandemic volumes by May 2020. However, monthly hospitalizations for psychotic disorders increased by ∼9% compared to the prepandemic period and remained elevated thereafter. Short stays and involuntary admissions increased by approximately 2% and 7%, respectively, before trending downwards. CONCLUSION: Psychiatric hospitalizations quickly stabilized in response to the COVID-19 pandemic. However, evidence suggested a shift towards a more severe presentation during this period.

Exploring Mediators of Mental Health Service Use Among Transgender Individuals in Ontario, Canada.

OBJECTIVES: To determine if and to what degree neighbourhood-level marginalization mediates mental health service use among transgender individuals. METHODS: This retrospective cohort study identified 2,085 transgender individuals through data obtained from 4 outpatient community and hospital clinics in 3 large cities in Ontario, which were linked with administrative health data between January 2015 and December 2019. An age-matched 1:5 comparison cohort was created from the general population of Ontario. Outcome measures were analysed from March 2020 to May 2022. The primary outcome was mental health service utilization, which included mental health-related visits to primary care providers, psychiatrists, mental health- and self-harm-related emergency department visits, and mental health hospitalizations. Mediation variables included ethnic concentration, residential instability, dependency, and material deprivation at the neighbourhood level and were derived from the Ontario Marginalization Index. RESULTS: This study identified 2,085 transgender individuals from participating outpatient community and hospital clinics, who were matched to the general population (n = 10,425). Overall, neighbourhood-level marginalization did not clinically mediate mental health service use. However, transgender individuals were more likely to be exposed to all forms of neighbourhood-level marginalization, as well as having higher rates of health service use across all outcome measures. CONCLUSIONS: In this study, mental health service use among transgender individuals was not clinically mediated by marginalization at the neighbourhood level. This study highlights the need to explore marginalization and mental health service use at the individual level to better understand the mental health disparities experienced by transgender individuals and to ensure that health-care services are inclusive and affirming.

Neonatal outcomes of pregnant women attending integrated and standard substance use treatment programs in Ontario, Canada.

BACKGROUND: Substance use in pregnancy raises concern given its potential teratogenic effects. Given the unique needs of parenting people and the potential impact for developing children, specialized substance use treatment programs are increasingly being implemented for this population. Substance use treatment is associated with more positive neonatal outcomes compared with no treatment, however treatment models vary limiting our understanding of key treatment components/modelsFew studies have explored the influence of treatment model type (i.e., integrated treatments designed for pregnant clients compared with standard treatment models) and no studies have examined the influence of treatment model on neonatal outcomes using Canadian data. METHOD: We conducted a population-based cohort study of clients who were pregnant when initiating integrated (n = 564) and standard (n = 320) substance use treatment programs in Ontario, Canada. RESULTS: Neonatal outcomes did not significantly differ by treatment type (integrated or standard), with rates of adverse neonatal outcomes higher than published rates for the general population, despite receipt of adequate levels of prenatal care. While this suggests no significant impact of treatment, it is notable that as a group, clients engaged in integrated treatment presented with more risk factors for adverse neonatal outcomes than those in standard treatment. While we controlled for these risks in our analyses, this may have obscured their influence in relation to treatment type. CONCLUSION: Findings underscore the need for more nuanced research that considers the influence of client factors in interaction with treatment type. Pregnant clients engaged in any form of substance use treatment are at higher risk of having children who experience adverse neonatal outcomes. This underscores the urgent need for further investment in services and research to support maternal and neonatal health before and during pregnancy, as well as long-term service models that support women and children beyond the perinatal and early childhood periods.

Health Reporting from Different Data Sources: Does it Matter for Mental Health?

BACKGROUND: Mental disorders are typically stigmatized conditions associated with negative stereotypes, which may lead individuals to underreport them. Thus, survey data may be subject to biases. Although administrative data has some limitations, it is an alternative data source that may be considered more objective. AIMS OF THE STUDY: This study aimed to identify the degree of agreement between survey and administrative health care data for mental health conditions, factors affecting underreporting, and whether underreporting also occurs for physical health conditions. METHODS: We used Ontario data from the Canadian Community Health Survey linked to health records to examine the presence of mental health conditions (i.e., schizophrenia and mood disorders) and select physical health conditions (i.e., diabetes and cancer). Using administrative data as the reference standard, we created four categories for each health condition based on the level of agreement between the two data sources: consistent cases and non-cases (i.e. individuals with concordant data based on their reported health condition), and people who were found to underreport and overreport a condition (i.e. where the condition was present in the administrative data, but not in the survey data and vice-versa, respectively). The overall level of agreement was assessed using Cohen's kappa statistic. Probit regressions were estimated to determine the factors affecting underreporting. RESULTS: The Kappa statistics for mood disorder was fair (k= 0.26) and moderate for schizophrenia (k = 0.49). Physical health conditions had higher kappa values (diabetes, k = 0.81; ever having cancer, k = 0.68), with the exception of currently having cancer (k = 0.24). Underreporting was highest for the most stigmatizing condition, schizophrenia (63%), followed by mood disorders (39%) and cancer (39%), and lowest for diabetes (25%). Older age, being born in Africa and Asia, and being employed all increased the probability of underreporting among individuals identified in the administrative data; the opposite held for social assistance. DISCUSSION: We extended previous work on mental health reporting by combining survey data with administrative data to examine the level of agreement between respondents' self-reported mental health and administrative records. The data include some mental disorders not studied previously. We examined the entire adult population; this is important because prevalence of schizophrenia may be less common among older population groups due to higher mortality among this patient population. Additionally, there may be potential age-related differences in stigma and mental health conditions. The administrative health data captured only health services covered by the public provincial health insurance plan and thus did not capture medical care provided by psychologists, social workers, and nurses. While this would affect Kappa statistic values, it does not directly affect the underreporting analyses. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: Our results suggest that disclosure of mental health conditions may differ by the level of stigma, which has implications for obtaining accurate estimates of mental health prevalence from self-reported data sources.

Medical Care Among Individuals with a Concussion in Ontario: A Population-based Study.

BACKGROUND: Concussion affects 1.2% of the population annually; rural regions and children have higher rates of concussion. METHODS: Using administrative health care linked databases, all residents of Ontario with a physician diagnosed concussion were identified using ICD-9 code 850 or ICD-10 code S06. Cases were tracked for 2 years for concussion-related health care utilization with relevant specialist physicians (i.e., neurology, otolaryngology, physiatry, psychiatry, ophthalmology). Billing codes, specialist codes, and time from index to visit were analyzed. Factors associated with increased specialist visits were also examined. RESULTS: In total, 1,022,588 cases were identified between 2008 and 2014 with 2 years of post-concussion health care utilization available. Follow-up by physician within 3 days of injury occurred in only 14% of cases. Mean time between ED diagnosis and follow-up by a physician was 83.9 days, whereas for rural regions it was >100 days. About half of adults (51.9%) and children (50.3%) had at least 1 specialist visit following concussion. Mean time between injury and first specialist visit was 203.8 (SD 192.9) days for adults, 213.5 (SD 201.0) days for rural adults, and 276.0 (SD 202.6) days for children. There were 67,420 neurology visits, 70,404 psychiatry visits, 13,571 neurosurgery visits, 19,780 physiatry visits, 101,788 ENT visits, and 103,417 ophthalmology visits in the 2 years tracking period. Factors associated with more specialist use included age > 18 years, urban residence, and pre-injury psychiatric history. CONCLUSIONS: There are discrepancies in post-concussion health care utilization based on age group and rural/urban residence. Addressing these risk factors could improve concussion care access.

Healthcare utilization and costs following non-fatal powdered and non-powdered firearm injuries for children and youth.

Little is known about the healthcare and economic burdens of non-fatal firearm injuries for children/youth beyond the initial admission. This study sought to estimate healthcare utilization and total direct healthcare costs of non-fatal powdered and non-powdered (air gun) firearm injuries 1-year post-injury. Using administrative data from 2003 to 2018 on all children/youth 0-24 years old in Ontario, Canada, a matched 1:2 cohort study was conducted to compare children/youth who experienced powdered and non-powdered firearm injuries with those who did not. Mean and median number of healthcare encounters and costs, and respective 95% confidence intervals (CIs) and interquartile ranges (IQRs), were estimated for both weapon type groups and controls and by intent. Children/youth who experienced a powdered and non-powdered firearm injury had a higher number of healthcare encounters and costs per year than those who did not. Mean 1-year costs for those with powdered and non-powdered firearm injuries were $8825 ($8007-$9643) and $2349 ($2118-$2578), respectively, versus $812 ($567-$1058) and $753 ($594-$911), respectively, for those without. Mean 1-year costs were highest for handgun injuries ($12,875 [95% CI $9941-$15,808]), and for intentional assault-related ($13,498 [$11,843-$15,153]; $3287 [$2213-$4362]), and intentional self-injuries ($14,773 [$6893-$22,652]; $6005 [$2193-$9817]) for both powdered and non-powdered firearm injuries, respectively.   Conclusion: Firearm injuries have substantial healthcare and economic burdens beyond the initial injury-related admission; this should be accounted for when examining the overall impact of firearm injuries. What is Known: • Child/youth firearm injuries have significant health and economic burdens. • However, existing work has mainly examined healthcare utilization and costs of initial admissions and/or have been limited to single-center studies and no studies have provide cost estimates by weapon type and intent. What is New: • Children/youth who suffered powdered firearm injuries had higher mean healthcare utilization and costs than those with non-powdered firearm injuries as well as comparable healthy children/youth. • Mean 1-year costs were highest for handgun injuries ($12,875), and for intentional assault-related ($13,498; $3287), and intentional self-injuries ($14,773; $6005) for powdered and non-powdered firearm injuries, respectively.

Looking beyond Administrative Health Care Data: The Role of Socioeconomic Status in Predicting Future High-cost Patients with Mental Health and Addiction.

INTRODUCTION: Previous research has shown that the socioeconomic status (SES)-health gradient also extends to high-cost patients; however, little work has examined high-cost patients with mental illness and/or addiction. The objective of this study was to examine associations between individual-, household- and area-level SES factors and future high-cost use among these patients. METHODS: We linked survey data from adult participants (ages 18 and older) of 3 cycles of the Canadian Community Health Survey to administrative health care data from Ontario, Canada. Respondents with mental illness and/or addiction were identified based on prior mental health and addiction health care use and followed for 5 years for which we ascertained health care costs covered under the public health care system. We quantified associations between SES factors and becoming a high-cost patient (i.e., transitioning into the top 5%) using logistic regression models. For ordinal SES factors, such as income, education and marginalization variables, we measured absolute and relative inequalities using the slope and relative index of inequality. RESULTS: Among our sample, lower personal income (odds ratio [OR] = 2.11, 95% confidence interval [CI], 1.54 to 2.88, for CAD$0 to CAD$14,999), lower household income (OR = 2.11, 95% CI, 1.49 to 2.99, for lowest income quintile), food insecurity (OR = 1.87, 95% CI, 1.38 to 2.55) and non-homeownership (OR = 1.34, 95% CI, 1.08 to 1.66), at the individual and household levels, respectively, and higher residential instability (OR = 1.72, 95% CI, 1.23 to 2.42, for most marginalized), at the area level, were associated with higher odds of becoming a high-cost patient within a 5-year period. Moreover, the inequality analysis suggested pro-high-SES gradients in high-cost transitions. CONCLUSIONS: Policies aimed at high-cost patients with mental illness and/or addiction, or those concerned with preventing individuals with these conditions from becoming high-cost patients in the health care system, should also consider non-clinical factors such as income as well as related dimensions including food security and homeownership.