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Objective: This epidemiological study estimated the lifetime prevalence of chronic physical illness (i.e., an illness that lasted or was expected to last ≥6 months) and 6-month prevalence of mental disorder and multimorbidity (i.e., ≥1 physical illness and ≥1 mental disorder) in youth. Associations between physical illness and mental disorder were quantified, including the number of illnesses. Secondary objectives examined factors associated with mental disorder, after controlling for physical illness., Methods: Data come from 10,303 youth aged 4-17 years in the 2014 Ontario Child Health Study (OCHS). Physical illness was measured using a list of chronic conditions developed by Statistics Canada. Mental disorders were measured using the OCHS Emotional Behavioural Scales. The Health Utility Index Mark III assessed overall functional health., Results: Weighted prevalence estimates showed 550,090 (27.8%) youth had physical illness, 291,986 (14.8%) had mental disorder, and 108,435 (5.4%) had multimorbidity. Physical illness was not associated with mental disorder. However, youth with 2 physical illnesses, as compared to no physical illnesses, had increased odds of having any mental (OR = 1.75 [1.08, 2.85]), mood (OR = 2.50 [1.39, 4.48]) and anxiety disorders (OR = 2.40 [1.33, 4.31]). Mean functional health scores demonstrated a dose-response association across health status categories, with the highest scores among healthy youth and the lowest scores among multimorbid youth (all p  < .05)., Conclusion: Chronic physical illness and mental disorders are prevalent in youth. Youths with 2 physical illnesses have a higher likelihood of mental disorders. Higher functional health scores protected against all mental disorders. Mental health interventions for youth should promote strong overall functional health., Plain Language Summary Title: Physical-Mental Multimorbidity in Ontario Youth., Competing Interests: Declaration of Conflicting InterestsThe authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Co-author Dr. Mark Ferro serves on the editorial board for CJP Corresponding author Shannon Reaume has received OGS and other scholarship money (as stated in the COI form).

Objectives: This study examined the mental health of siblings of children with physical illness (PI), with or without co-occurring mental illness., Methods: The sample included children aged 2 to 16 years with a chronic PI and their aged-matched healthy siblings (n = 169 dyads). Physical-mental comorbidity (PM) was present if children screened positive for ≥1 mental illness on the Mini International Neuropsychiatric Interview for Children and Adolescents. Parents completed the Strengths and Difficulties Questionnaire (SDQ) to measure child and sibling mental health., Results: Within child-sibling dyads, siblings of children with PI had significantly worse mental health related to conduct problems (d = 0.31), peer problems (d = 0.18) and total difficulties (d = 0.20). Siblings of children with PM had significantly better mental health related to emotional problems (d = 0.42), hyperactivity/inattention (d = 0.23) and total difficulties (d = 0.32). Siblings of children with PI had similar mental health compared with child population norms used in the development of the SDQ. In contrast, siblings of children with PM had significantly worse mental health across all SDQ domains, with the exception of prosocial behaviour. After adjusting for parent psychopathology and family functioning, no statistically significant differences between siblings of children with PM versus siblings of children with PI were found., Conclusions: Differences in mental health exist between children with PI or PM versus their healthy siblings. However, differences between siblings of children with PI versus siblings of children with PM can be explained by parental and family factors (e.g. marital status, education and income). Findings reinforce family-centred care approaches to address the needs of children with PI or PM and their families., (© 2022 John Wiley & Sons Ltd.)

Despite the initial thrust of research aimed at understanding the impact of the COVID-19 pandemic on youth with physical illness and their parents, knowledge gaps in the literature remain, providing the impetus for additional investigation. This study described changes in psychological distress from prior to during the COVID-19 pandemic for parents and youth with physical illness, compared parent-proxy and youth self-reported perceptions of COVID-19-related psychosocial health, and modeled factors associated with psychological and psychosocial distress. There were 147 parent-youth dyads (2-16 years) from MY LIFE-a longitudinal study of youth with physical illness. The Kessler-6 (K6) measured psychological distress for the time before the COVID-19 lockdown (December 19 to March 20) and during the pandemic (December 20 to March 21) among parents and youth. COVID-19-related psychosocial health was measured using the CRISIS. Parents and youth reported increases in K6 scores ( d = 0.62 and 0.38). Parent-proxy reports on the K6 were lower vs. youth self-reports prior to and during the pandemic ( d = 0.63 for both). In contrast, parents reported lower proxy CRISIS scores for worries ( d = 0.38) and effects of social restrictions ( d = 0.52). Pandemic parent K6 scores were associated with age, combined in-person and online schooling for youth, COVID-19-related worries, and effects of social restrictions. For youth, only COVID-19-related worries and effects of social restrictions were associated with K6 scores. Parent worries were associated with youth sex, parental stress, family functioning, online and combination learning, and social restrictions. Parental depression and worries were associated with effects of social restrictions. Youth worries were associated with online and combination learning, and social restrictions. Youth disability, online learning, and worries were associated with effects of social restrictions. Few clinical factors are associated with COVID-19-related psychological and psychosocial distress. Instead, parent/family factors and youth learning environment have prominent roles in predicting outcomes and have implications for the health, education, and social services systems., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Ferro, Meyer, Yessis, Reaume, Lipman and Gorter.)

Purpose: This epidemiological study examined associations between morbidity status and mental health care use among young people., Methods: Data come from individuals aged 15-29 years (n = 5,630) in the Canadian Community Health Survey-Mental Health (2012). Physical health problems were measured using a standard checklist. The Composite International Diagnostic Interview assessed 12-month mental health and substance use problems. Individuals were asked which types of mental health care they had received in the past year. Logistic, ordinal, and multinomial regression models were computed and the method of variance estimates recovery was used to compare estimates., Results: Individuals with comorbid physical health problems had higher odds of mental health care use for those with mental (odds ratio [OR] = 12.54 [7.07, 22.25]) and substance use problems (OR = 2.97 [1.75, 5.05]). While these estimates were higher than for individuals without physical comorbidity, differences were not statistically significant. For mental health care needs not being met, associations were found for individuals with mental (OR = 2.56 [1.24, 5.26]) or substance use problems only (OR = 2.48 [1.06, 5.82])., Conclusions: Odds of perceiving the need for and using mental health care were high in individuals with a physical comorbidity, but similar to those with mental health or substance use problems only. Young people with a physical comorbidity were less likely to report that their mental health needs are not being met compared to those with mental health or substance use problems only. Research is needed to understand barriers and facilitators faced by young people with mental health or substance use problems as they navigate the health system., (Copyright © 2020 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Background Continual improvements to health systems, products, and services are necessary for improvements in health. However, many of these improvements are not incorporated into everyday practice. When designing new health systems, products, and services, involving members of the healthcare community and the public with personal healthcare experience can help to make sure that improvements will be useful and relevant to others like them. Methods Together with healthcare workers and family members with healthcare experience, we developed and applied a step-by-step guide to involving those with personal experience in the design of health system improvements. Results Our guide has three phases- 'Pre-Design', 'Co-Design', and 'Post-Design'. This paper describes each of these phases and illustrates how we applied them to our own project, which is to use virtual healthcare methods to improve care for children with chronic healthcare conditions and their families. In our own work, we found that healthcare workers and family members with personal healthcare experiences were able to use their knowledge and creativity to help us imagine how to improve care for children with chronic healthcare conditions and their families. We have created action items from these family member- and healthcare worker-identified needs, which we will use to shape our virtual healthcare system. Conclusions This paper may be useful for those seeking to involve members of the healthcare community and the public in the creation of better healthcare systems, products, and services. Background Challenges with the adoption, scale, and spread of health innovations represent significant gaps in the evidence-to-practice cycle. In the health innovation design process, a lack of attention paid to the needs of end-users, and subsequent tailoring of innovations to meet these needs, is a possible reason for this deficit. In the creative field of health innovation, which includes the design of healthcare products, systems (governance and organization mechanisms), and services (delivery mechanisms), a framework for both soliciting the needs of end-users and translating these needs into the design of health innovations is needed. Methods To address this gap, our team developed and applied a seven-step methodological framework, called A Generative Co-Design Framework for Healthcare Innovation. This framework was developed by an interdisciplinary team that included patient partners. Results This manuscript contributes a framework and applied exemplar for those seeking to engage end-users in the creative process of healthcare innovation. Through the stages of 'Pre-Design', 'Co-Design', and 'Post-Design', we were able to harness the creative insights of end-users, drawing on their experiences to shape a future state of care. Using an expository example of our own work, the DigiComp Kids project, we illustrate the application of each stage of the Framework. Conclusions A Generative Co-Design Framework for Healthcare Innovation provides healthcare innovators, applied health science researchers, clinicians, and quality improvement specialists with a guide to eliciting and incorporating the viewpoints of end-users while distilling practical considerations for healthcare innovation and design.

This study estimated prevalence of substance use disorder in youth with chronic physical illness; quantified magnitudes of association between different chronic physical illnesses with substance use disorder; and, tested whether mental disorder moderates these associations. Data come from 6,377 individuals aged 15-30 years in the Canadian Community Health Survey-Mental Health. Alcohol, cannabis, or other drug use disorder measured using the WHO Composite International Diagnostic Interview 3.0. Individuals with chronic physical illness were more likely to have other drug use disorder compared to healthy controls (2.4% vs. 1.3%; p < .001), but not more likely to have alcohol (7.8% vs. 6.8%) or cannabis use disorder (5.0% vs. 3.6%). Odds of alcohol use disorder were higher among individuals with musculoskeletal conditions, OR = 1.41 (1.03-1.93), but lower among individuals with neurological conditions, OR = 0.49 (0.33-0.72), compared to healthy controls. No associations were found for cannabis use disorder. Odds of other drug use disorder were higher among individuals with endocrine conditions, OR = 2.88 (1.37-6.06). In the presence vs. absence of major depressive disorder, odds for substance use disorder were higher among individuals with respiratory or endocrine conditions. However, odds were lower among individuals with comorbid neurological and major depressive disorders or comorbid respiratory and generalized anxiety disorders. The complexity of the association between chronic physical illness and substance use disorder is compounded when accounting for the moderating effect of mental disorder, which in some contexts, results in a reduced likelihood of substance use disorder in youth with chronic physical illness., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Initial evidence suggests that the WHO Disability Assessment Schedule (WHODAS 2.0) is valid and reliable in general youth populations; however, its psychometric properties in specific subgroups are less established. The primary objective was to test for measurement invariance of the 12-item WHODAS 2.0 in an epidemiological sample of youth aged 15 to 19 years with and without physical or mental conditions. Using data from 1,851 youth in the Canadian Community Health Survey-Mental Health, invariance was tested using multiple-group confirmatory factor analysis. Within-domain item correlations were significant and ordinal coefficient alphas were .91, .94, .93, and .92 for the healthy control, physical, mental, and comorbid groups, respectively. Partial measurement invariance was demonstrated for the WHODAS 2.0, with evidence of noninvariance for item residuals and factor variances related to cognition and participation. While these domain-specific comparisons may be biased, valid comparisons of overall disability across subgroups of youth can be made with confidence.

Background: Evidence suggests that physical and mental illnesses are strongly correlated in children. This study examined patterns of the chronicity of multimorbidity (co-occurring physical and mental illness); estimated homotypic continuity; and modelled factors associated with chronicity in children newly diagnosed with a chronic physical illness., Methods: Children aged 6-16 years diagnosed with one of asthma, diabetes, epilepsy, food allergy, or juvenile arthritis were recruited from two children's hospitals and followed for 6 months. Child mental illness was measured using the parent-reported Mini International Neuropsychiatric Interview and Ontario Child Health Study Emotional Behavioural Scales at baseline and 6 months later. Children were stratified into three groups: no multimorbidity, acute (multimorbidity at only one assessment), and persistent (multimorbidity at both assessments)., Results: Forty-nine children were available for analysis: no multimorbidity (n = 18), acute (n = 13), and persistent (n = 18). Homotypic continuity was highest for conduct disorder (67.5%) and lowest for major depression (16.7%). Unadjusted analyses showed positive associations between child and parent behavioural symptoms, as well as family functioning with persistent multimorbidity. These associations remained after adjustment, ranging from odds ratio (OR) = 1.29 [1.01, 1.64] for depression to OR = 1.61 [1.11, 2.33] and OR = 1.61 [1.10, 2.35] for attention-deficit hyperactivity and oppositional defiant, respectively, in child models. In parent models, associations remained for parental anxiety (OR = 1.18 [1.04, 1.34]) and stress (OR = 1.15 [1.02, 1.31])., Conclusions: Multimorbidity is persistent in children newly diagnosed with physical illnesses, regardless of the mental comorbidity experienced. Integrating family-centred mental health services soon after the diagnosis of a physical illness should be prioritized in pediatric settings., (© 2019 John Wiley & Sons Ltd.)