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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., (© 2024 John Wiley & Sons Ltd.)

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., Competing Interests: Author Disclosures Links to the individual disclosure forms provided by the authors are available here., (Copyright © 2023 International Society for Pharmacoeconomics and Outcomes Research, Inc. Published by Elsevier Inc. All rights reserved.)

Background: The healthy immigrant effect implies that, at the time of immigration, new immigrants are typically healthier than the Canadian-born population. Furthermore, this health advantage fades the longer cohorts of immigrants remain in the host country., Methods: Most studies assessing the healthy immigrant effect rely on strong, untestable assumptions to extract unique effects for length of stay (LOS) (i.e., how long an immigrant has been in a host country), period (i.e., year of observation), and cohort (i.e., year of immigration). Rather than attempting to parse out separate effects for LOS, period, and cohort, we adopt a descriptive, cohort-centric approach to study immigrant mental health, which examines intra- and inter-cohort trends, that is, joint LOS-period and cohort-period parameters, respectively. While intra-cohort trends show how immigrants' mental health change with LOS across periods, inter-cohort trends reveal how the mental health of successive cohorts of immigrants differ across time periods. To provide a thorough assessment of the healthy immigrant effect, we use both survey and administrative data on cohorts of Canadian immigrants from 2003 to 2013., Results: The survey data reveal that mental health declines steeply (i.e., there is an increase in mood and/or anxiety disorders) within and across immigrant cohorts, while the administrative data show little overall change in mental health care utilization within and across cohorts. The divergent results may reflect issues related to barriers in access to mental health services because the administrative data, which are based on health care utilization, do not the capture the increase in mental disorders seen in the survey data., Conclusion: This study highlights the benefit of a cohort-based approach to assess the healthy immigrant effect as it pertains to mental health as well as the importance of using different types of data, which may be measuring different aspects of immigrant mental health and health care utilization., Competing Interests: Declaration of competing interest None., (Copyright © 2023. Published by Elsevier Ltd.)

The objective of this study was to investigate the relationship between health conditions in childhood (ages 4-11), and health and socioeconomic outcomes in adulthood (ages 21-33). This study takes advantage of a new linkage between the National Longitudinal Survey of Children and Youth (NLSCY) and administrative tax data from the T1 Family File (T1FF) from Statistics Canada. The NLSCY includes rich longitudinal information on child development, while the T1FF includes administrative tax information on each child in adulthood (e.g., income, social assistance). The primary measures of child health relate to the diagnosis of a chronic condition, affecting the child's physical or mental/developmental health. The results suggest that mental/developmental health conditions in childhood more negatively influence adult health and socioeconomic conditions, compared to physical health conditions. Interaction models reveal modest heterogenous effects; for example, there is some evidence of a cushioning effect from higher household income in childhood, as well as an exacerbating negative effect from lower birth weight for mental/developmental health conditions. Using a covariate decomposition approach to explore underlying pathways, the results reveal that associations between health in early life and outcomes in adulthood are partially explained by differences in cognitive skills (i.e., mathematics test scores) in adolescence (ages 16-17). Results may encourage policy investments to mitigate the occurrence of health conditions in childhood and to ensure timely access to educational supports and health services for children with chronic conditions., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Background: Mental health disorders in the workplace have increasingly been recognised as a problem in most countries given their high economic burden. However, few reviews have examined the relationship between mental health and worker productivity., Objective: To review the relationship between mental health and lost productivity and undertake a critical review of the published literature., Methods: A critical review was undertaken to identify relevant studies published in MEDLINE and EconLit from 1 January 2008 to 31 May 2020, and to examine the type of data and methods employed, study findings and limitations, and existing gaps in the literature. Studies were critically appraised, namely whether they recognised and/or addressed endogeneity and unobserved heterogeneity, and a narrative synthesis of the existing evidence was undertaken., Results: Thirty-eight (38) relevant studies were found. There was clear evidence that poor mental health (mostly measured as depression and/or anxiety) was associated with lost productivity (i.e., absenteeism and presenteeism). However, only the most common mental disorders were typically examined. Studies employed questionnaires/surveys and administrative data and regression analysis. Few studies used longitudinal data, controlled for unobserved heterogeneity or addressed endogeneity; therefore, few studies were considered high quality., Conclusion: Despite consistent findings, more high-quality, longitudinal and causal inference studies are needed to provide clear policy recommendations. Moreover, future research should seek to understand how working conditions and work arrangements as well as workplace policies impact presenteeism., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

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.

Background: Severe mental illness (SMI) comprises a range of chronic and disabling conditions, such as schizophrenia, bipolar disorder and other psychoses. Despite affecting a small percentage of the population, these disorders are associated with poor outcomes, further compounded by disparities in access, utilisation, and quality of care. Previous research indicates there is pro-poor inequality in the utilisation of SMI-related psychiatric inpatient care in England (in other words, individuals in more deprived areas have higher utilisation of inpatient care than those in less deprived areas). Our objective was to determine whether there is pro-poor inequality in SMI-related psychiatric admissions in Ontario, and understand whether these inequalities have changed over time., Methods: We selected all adult psychiatric admissions from April 2006 to March 2011. We identified changes in socio-economic equity over time across deprivation groups and geographic units by modeling, through ordinary least squares, annual need-expected standardised utilisation as a function of material deprivation and other relevant variables. We also tested for changes in socio-economic equity of utilisation over years, where the number of SMI-related psychiatric admissions for each geographic unit was modeled using a negative binomial model., Results: We found pro-poor inequality in SMI-related psychiatric admissions in Ontario. For every one unit increase in deprivation, psychiatric admissions increased by about 8.1%. Pro-poor inequality was particularly present in very urban areas, where many patients with SMI reside, and very rural areas, where access to care is problematic. Our main findings did not change with our sensitivity analyses. Furthermore, this inequality did not change over time., Conclusions: Individuals with SMI living in more deprived areas of Ontario had higher psychiatric admissions than those living in less deprived areas. Moreover, our findings suggest this inequality has remained unchanged over time. Despite the debate around whether to make more or less use of inpatient versus other care, policy makers should seek to address suboptimal supply of primary, community or social care for SMI patients. This may potentially be achieved through the elimination of barriers to access psychiatrist care and the implementation of universal coverage of psychotherapy., (© 2021. The Author(s).)

Background: As 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., Methods: Population-based cohort study in Ontario, Canada of all 11 246 910 residents aged ⩾16 and <105 on 1 April 2012 and alive on 31 March 2014. Secondary analyses included subjects having common medical disorders in 10 separate cohorts. Exposures were psychiatric morbidity categories identified using aggregated diagnosis groups (ADGs) from Johns Hopkins Adjusted Clinical Groups software® (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)., Results: Over 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., Conclusions: Psychiatric 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: 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., Competing Interests: Competing interests: None declared., (© 2020 Joule Inc. or its licensors.)

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.

Background: Psychotherapy is recommended as a first-line treatment for the management of common psychiatric disorders. The objective of this study was to evaluate the availability of publicly funded psychotherapy provided by physicians in Ontario by describing primary care physicians (PCPs) and psychiatrists whose practices focus on psychotherapy and comparing them to PCPs and psychiatrists whose practices do not., Methods: This was a population-based retrospective cohort study. We included all PCPs and psychiatrists in Ontario who submitted at least 1 billing claim to the Ontario Health Insurance Plan between Apr. 1, 2015, and Mar. 31, 2016, and categorized them as psychotherapists if at least 50% of their outpatient billings were related to the provision of psychotherapy. We measured practice characteristics such as total number of patients and new patients, and average visit frequency for 4 physician categories: PCP nonpsychotherapists, PCP psychotherapists, psychiatrist nonpsychotherapists and psychiatrist psychotherapists. We also measured access to care for people with urgent need for mental health services., Results: Of 12 772 PCPs, 404 (3.2%) were PCP psychotherapists; of 2150 psychiatrists, 586 (27.3%) were psychotherapists. Primary care physician nonpsychotherapists had the highest number of patients and number of new patients, followed by psychiatrist nonpsychotherapists, PCP psychotherapists and psychiatrist psychotherapists. Primary care physician nonpsychotherapists had the lowest average annual number of visits per patient, whereas both types of psychotherapists had a much greater number of visits per patient. Primary care physician and psychiatrist nonpsychotherapists saw about 25% of patients with urgent needs for mental health services, whereas PCP and psychiatrist psychotherapists saw 1%-3% of these patients., Interpretation: Physicians who provide publicly funded psychotherapy in Ontario see a small number of patients, and they see few of those with urgent need for mental health services. Our findings suggest that improving access to psychotherapy will require the development of alternative strategies., Competing Interests: Competing interests: None declared., (Copyright 2020, Joule Inc. or its licensors.)

Objective: To investigate the degree to which psychiatrists are accessible to new outpatients and the factors that predict whether psychiatrists will see new outpatients., Methods: We used administrative health data on all practicing full-time psychiatrists in Ontario, Canada, over a 5-year period (2009-2010 to 2013-2014). We used a regression model to estimate the number of new outpatients seen, accounting for case mix, outpatient volume, and psychiatrist practice characteristics., Results: Approximately 10% of full-time psychiatrists are seeing 1 or fewer new outpatients per month, and another 10% are seeing between 1 and 2 new outpatients per month. Our model identified psychiatrists in 3 distinct practice styles. One practice style (representing 29% of psychiatrists), on average, saw fewer than 2 new outpatients per month and 69 unique outpatients annually. Relative to other practice styles, they tended to see fewer patients with a previous psychiatric hospitalization and fewer patients who lived in lower income neighbourhoods., Conclusions: Nearly 1 in 3 full-time psychiatrists in Ontario see very few new outpatients. This has implications for access to care, particularly for outpatients with newly diagnosed mental illness. It also highlights the continued need to address access issues by assessing the role of psychiatrists within the Canadian health care system.

Objective: A small proportion of the population accounts for the majority of healthcare costs. Mental health and addiction (MHA) patients are consistently high-cost. We aimed to delineate factors amenable to public health action that may reduce high-cost use among a cohort of MHA clients in Saskatoon, Saskatchewan., Methods: We conducted a population-based retrospective cohort study. Administrative health data from fiscal years (FY) 2009-2015, linked at the individual level, were analyzed (n = 129,932). The outcome of interest was ≥ 90th percentile of costs for each year under study ('persistent high-cost use'). Descriptive analyses were followed by logistic regression modelling; the latter excluded long-term care residents., Results: The average healthcare cost among study cohort members in FY 2009 was ~ $2300; for high-cost users it was ~ $19,000. Individuals with unstable housing and hospitalization(s) had increased risk of persistent high-cost use; both of these effects were more pronounced as comorbidities increased. Patients with schizophrenia, particularly those under 50 years old, had increased probability of persistent high-cost use. The probability of persistent high-cost use decreased with good connection to a primary care provider; this effect was more pronounced as the number of mental health conditions increased., Conclusion: Despite constituting only 5% of the study cohort, persistent high-cost MHA clients (n = 6455) accounted for ~ 35% of total costs. Efforts to reduce high-cost use should focus on reduction of multimorbidity, connection to a primary care provider (particularly for those with more than one MHA), young patients with schizophrenia, and adequately addressing housing stability.

Objective: The objective of this article was to conduct a cost analysis comparing the costs of a supportive housing intervention to inpatient care for clients with severe mental illness who were designated alternative-level care while inpatient at the Centre for Addiction and Mental Health in Toronto. The intervention, called the High Support Housing Initiative, was implemented in 2013 through a collaboration between 15 agencies in the Toronto area., Method: The perspective of this cost analysis was that of the Ontario Ministry of Health and Long-Term Care. We compared the cost of inpatient mental health care to high-support housing. Cost data were derived from a variety of sources, including health administrative data, expenditures reported by housing providers, and document analysis., Results: The High Support Housing Initiative was cost saving relative to inpatient care. The average cost savings per diem were between $140 and $160. This amounts to an annual cost savings of approximately $51,000 to $58,000. When tested through sensitivity analysis, the intervention remained cost saving in most scenarios; however, the result was highly sensitive to health system costs for clients of the High Support Housing Initiative program., Conclusions: This study suggests the High Support Housing Initiative is potentially cost saving relative to inpatient hospitalization at the Centre for Addiction and Mental Health.

Objective: To understand whether high-cost users of medical care with and without comorbid mental illness or addiction differ in terms of their sociodemographic and health characteristics. Unique characteristics would warrant different considerations for interventions and service design aimed at reducing unnecessary health care utilization and associated costs., Methods: From the top 10% of Ontarians ranked by total medical care costs during fiscal year 2011/2012 (N = 314,936), prior 2-year mental illness or addiction diagnoses were determined from administrative data. Sociodemographics, medical illness characteristics, medical costs, and utilization were compared between those high-cost users of medical care with and without comorbid mental illness or addiction. Odds of being a frequent user of inpatient (≥3 admissions) and emergency (≥5 visits) services were compared between groups, adjusting for age, sex, socioeconomic status and medical illness characteristics., Results: High-cost users of medical care with comorbid mental illness or addiction were younger, had a lower socioeconomic status, had greater historical medical morbidity, and had higher total medical care costs (mean excess of $2,031/user) than those without. They were more likely to be frequent users of inpatient (12.8% vs 10.2%; adjusted OR, 1.14; 95% CI: 1.12-1.17) and emergency (8.4% vs 4.8%; adjusted OR, 1.55; 95% CI: 1.50-1.59) services. Effect sizes were larger in major mood, psychotic, and substance use disorder subgroups., Conclusions: High-cost medical care users with mental illness or addiction have unique characteristics with respect to sociodemographics and service utilization patterns to consider in interventions and policies for this patient group., (Copyright © 2018 Academy of Consultation-Liaison Psychiatry. Published by Elsevier Inc. All rights reserved.)

Objective: Despite the high prevalence of mental illnesses and addictions, treatment rates remain low. In April 2010, a regional mass media campaign was implemented to increase awareness of mental health services in central Toronto, Canada. We studied the impact of this campaign on rates of psychiatric emergency department (PED) visits among all hospital emergency departments (EDs) located in Toronto., Design: Monthly PED visit totals were obtained for all Toronto EDs from April 1, 2007 to March 31, 2012 (n = 148,704). The campaign's impact on visit rates was measured using interrupted time series analysis and a difference-in-difference estimator. We conducted pre- and post-campaign analyses to examine whether volume increases were explained by specific diagnostic categories and/or new presentations (new patients with no prior PED visits), and to examine geographic trends., Results: The campaign was associated with an increased volume of PED visits at downtown hospitals (Centre for Addiction and Mental Health, an increase of 7.6 visits/month [p &lt; 0.0001]; University Health Network, 5.8 visits/month [p &lt; 0.0001]; St. Michael's Hospital, 4.2 visits/month [p &lt; 0.0001]; and Mount Sinai Hospital, 3.2 visits/month [p &lt; 0.0001]) but not in hospitals located outside of the downtown area. Neither new patient visits nor specific diagnostic categories disproportionately accounted for the overall observed increases. Following the campaign, patients travelled greater distances to receive ED services., Conclusions: Mass media campaigns promoting mental health and psychiatric services can affect health care-seeking behaviour and utilization. Our findings have implications for system-level service planning, which should anticipate volume increases when public mental health campaigns are being considered.

A small proportion of health care users, called high-cost patients, account for a disproportionately large share of health care costs. Most literature on these patients has focused on the entire population. However, high-cost patients whose use of mental health care services is substantial are likely to differ from other members of the population. We defined a mental health high-cost patient as someone for whom mental health-related services accounted for at least 50 percent of total health care costs. We examined these patients' health care utilization and costs in Ontario, Canada. We found that their average cost for health care, in 2012 Canadian dollars, was $31,611. In contrast, the cost was $23,681 for other high-cost patients. Mental health high-cost patients were younger, lived in poorer neighborhoods, and had different health care utilization patterns, compared to other high-cost patients. These findings should be considered when implementing policies or interventions to address quality of care for mental health patients so as to ensure that mental health high-cost patients receive appropriate care in a cost-effective manner. Furthermore, efforts to manage mental health patients' health care use should address their complex profile through integrated multidisciplinary health care delivery., (Project HOPE—The People-to-People Health Foundation, Inc.)