Use of Latent Class Analysis to Predict Intensive Care Unit Admission and Mortality in Children with a Major Congenital Anomaly.

OBJECTIVE: To define major congenital anomaly (CA) subgroups and assess outcome variability based on defined subgroups. STUDY DESIGN: This population-based cohort study used registries in Denmark for children born with a major CA between January 1997 and December 2016, with follow-up until December 2018. We performed a latent class analysis (LCA) using child and family clinical and sociodemographic characteristics present at birth, incorporating additional variables occurring until age of 24 months. Cox proportional hazards regression models estimated hazard ratios (HRs) of pediatric mortality and intensive care unit (ICU) admissions for identified LCA classes. RESULTS: The study included 27 192 children born with a major CA. Twelve variables led to a 4-class solution (entropy = 0.74): (1) children born with higher income and fewer comorbidities (55.4%), (2) children born to young mothers with lower income (24.8%), (3) children born prematurely (10.0%), and (4) children with multiorgan involvement and developmental disability (9.8%). Compared with those in Class 1, mortality and ICU admissions were highest in Class 4 (HR = 8.9, 95% CI = 6.4-12.6 and HR = 4.1, 95% CI = 3.6-4.7, respectively). More modest increases were observed among the other classes for mortality and ICU admissions (Class 2: HR = 1.7, 95% CI = 1.1-2.5 and HR = 1.3, 95% CI = 1.1-1.4, respectively; Class 3: HR = 2.5, 95% CI = 1.5-4.2 and HR = 1.5, 95% CI = 1.3-1.9, respectively). CONCLUSIONS: Children with a major CA can be categorized into meaningful subgroups with good discriminative ability. These groupings may be useful for risk-stratification in outcome studies.

Acute health care use among children during the first 2.5 years of the COVID-19 pandemic in Ontario, Canada: a population-based repeated cross-sectional study.

BACKGROUND: The effects of the decline in health care use at the start of the COVID-19 pandemic on the health of children are unclear. We sought to estimate changes in rates of severe and potentially preventable health outcomes among children during the pandemic. METHODS: We conducted a repeated cross-sectional study of children aged 0-17 years using linked population health administrative and disease registry data from January 2017 through August 2022 in Ontario, Canada. We compared observed rates of emergency department visits and hospital admissions during the pandemic to predicted rates based on the 3 years preceding the pandemic. We evaluated outcomes among children and neonates overall, among children with chronic health conditions and among children with specific diseases sensitive to delays in care. RESULTS: All acute care use for children decreased immediately at the onset of the pandemic, reaching its lowest rate in April 2020 for emergency department visits (adjusted relative rate [RR] 0.28, 95% confidence interval [CI] 0.28-0.29) and hospital admissions (adjusted RR 0.43, 95% CI 0.42-0.44). These decreases were sustained until September 2021 and May 2022, respectively. During the pandemic overall, rates of all-cause mortality, admissions for ambulatory care-sensitive conditions, newborn readmissions or emergency department visits or hospital admissions among children with chronic health conditions did not exceed predicted rates. However, after declining significantly between March and May 2020, new presentations of diabetes mellitus increased significantly during most of 2021 (peak adjusted RR 1.49, 95% CI 1.28-1.74 in July 2021) and much of 2022. Among these children, presentations for diabetic ketoacidosis were significantly higher than expected during the pandemic overall (adjusted RR 1.14, 95% CI 1.00-1.30). We observed similar time trends for new presentations of cancer, but we observed no excess presentations of severe cancer overall (adjusted RR 0.91, 95% CI 0.62-1.34). INTERPRETATION: In the first 30 months of the pandemic, disruptions to care were associated with important delays in new diagnoses of diabetes but not with other acute presentations of select preventable conditions or with mortality. Mitigation strategies in future pandemics or other health system disruptions should include education campaigns around important symptoms in children that require medical attention.

Patterns of multiple chronic conditions in pregnancy: Population-based study using latent class analysis.

BACKGROUND: Adults with multiple chronic conditions (MCC) are a heterogeneous population with elevated risk of future adverse health outcomes. Yet, despite the increasing prevalence of MCC globally, data about MCC in pregnancy are scarce. OBJECTIVES: To estimate the population prevalence of MCC in pregnancy and determine whether certain types of chronic conditions cluster together among pregnant women with MCC. METHODS: We conducted a population-based cohort study in Ontario, Canada, of all 15-55-year-old women with a recognised pregnancy, from 2007 to 2020. MCC was assessed from a list of 22 conditions, identified using validated algorithms. We estimated the prevalence of MCC. Next, we used latent class analysis to identify classes of co-occurring chronic conditions in women with MCC, with model selection based on parsimony, clinical interpretability and statistical fit. RESULTS: Among 2,014,508 pregnancies, 324,735 had MCC (161.2 per 1000, 95% confidence interval [CI] 160.6, 161.8). Latent class analysis resulted in a five-class solution. In four classes, mood and anxiety disorders were prominent and clustered with one additional condition, as follows: Class 1 (22.4% of women with MCC), osteoarthritis; Class 2 (23.7%), obesity; Class 3 (15.8%), substance use disorders; and Class 4 (22.1%), asthma. In Class 5 (16.1%), four physical conditions clustered together: obesity, asthma, chronic hypertension and diabetes mellitus. CONCLUSIONS: MCC is common in pregnancy, with sub-types dominated by co-occurring mental and physical health conditions. These data show the importance of preconception and perinatal interventions, particularly integrated care strategies, to optimise treatment and stabilisation of chronic conditions in women with MCC.

Comprehensive care programmes for children with medical complexity.

BACKGROUND: Children with medical complexity (CMC) represent a small, but growing, proportion of all children. Regardless of their underlying diagnosis, by definition, all CMC have similar functional limitations and high healthcare needs. It has been suggested that improving aspects of healthcare delivery for CMC improves health- and quality of life-related outcomes for children and their families and reduces healthcare-related expenditure. As a result, dedicated comprehensive care programmes have been established at many hospitals to meet the needs of CMC; however, it is unclear if such programmes are effective. OBJECTIVES: Our main objective was to assess the effectiveness of comprehensive care programmes that aim to improve care coordination and other aspects of health care for CMC and to assess whether the effectiveness of such programmes differs according to the programme setting and structure. We aimed to assess their effectiveness in relation to child and parent health, functioning, and quality of life, quality of care, number of healthcare encounters, unmet healthcare needs, and total healthcare-related costs. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, and CINAHL in May 2023. We also searched reference lists, trial registries, and the grey literature. SELECTION CRITERIA: Randomised and non-randomised trials, controlled before-after studies, and interrupted time series studies were included. Studies that compared enrolment in a comprehensive care programme with non-enrolment in such a programme/treatment as usual were included. Participants were children that met the criteria for the definition of CMC, which is: having (i) a chronic condition, (ii) functional limitations, (iii) increased health and other service needs, and (iv) increased healthcare costs. Studies that included the following types of outcomes were included: health; quality of care; utilisation, coverage and access; resource use and costs; equity; and adverse outcomes. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data, assessed the risk of bias in each included study, and evaluated the certainty of evidence according to GRADE criteria. Where possible, data were represented in forest plots and pooled. We were unable to undertake a meta-analysis for comparisons and outcomes, so we used a structured synthesis approach. MAIN RESULTS: We included four studies with a total of 912 CMC as participants. All included studies were randomised controlled trials conducted in hospitals in the USA or Canada. Participants varied across the included studies; however, all four studies included children with complex and chronic illness and high healthcare needs. While the primary aim of the intervention was similar across all four studies, the components of the interventions differed: in the four studies, the intervention involved some element of care coordination; in two of the studies, it involved the child receiving care from a multidisciplinary team, while in one study, the intervention was primarily centred on access to an advanced practice nurse care coordinator and another study involved nurse a practitioner-paediatrician dyad partnering with families. The risk of bias in the four studies varied across domains, with issues primarily relating to the lack of blinding of participants, personnel, and outcome assessors, inadequate allocation concealment, and incomplete outcome data. Comprehensive care for CMC compared to usual care may make little to no difference to child health, functioning, and quality of life at 12 or 24 months (three studies with 404 participants) and we assessed the evidence for the outcomes in this category (child health-related quality of life and functional status) as being of low certainty. For CMC, comprehensive care probably makes little or no difference to parent health, functioning, and quality of life compared to usual care at 12 months (one study with 117 participants) and we assessed the evidence for this outcome as being of moderate certainty. Comprehensive care for CMC compared to usual care may slightly improve child and family satisfaction with, and perceptions of, care and service delivery at 12 months (three studies with 453 participants); however, we assessed the evidence for these outcomes as being of low certainty. For CMC, comprehensive care probably makes little or no difference to the number of healthcare encounters (emergency department visits) and the number of hospitalised days (hospital admissions) compared to usual care at 12 months (three studies with 668 participants), and we assessed the evidence for these outcomes as being of moderate certainty. Three of the included studies (668 participants) reported cost outcomes and had conflicting results, with one study reporting significantly lower healthcare costs at 12 months in the intervention group compared to the control group, one reporting no differences between groups, and the other study reporting a greater increase in total healthcare costs in the intervention group compared to the control group. Overall, comprehensive care may make little or no difference to overall healthcare costs in CMC; however, the methods used to measure total healthcare costs varied across studies and the certainty of the evidence relating to this outcome is low. No studies assessed the costs to the family. AUTHORS' CONCLUSIONS: The findings of this review should be treated with caution due to the limited amount and quality of the published research that was available to be included. Overall, the certainty of the evidence for the effectiveness of comprehensive care for CMC ranged from low to moderate across outcomes and there is currently insufficient evidence on which to draw strong conclusions. There is a need for more high-quality randomised trials with consistency of the target population and intervention components, methods of reporting outcomes, and follow-up periods, as well as full cost analyses, taking into account both costs to the family and costs to the healthcare system.

Mental Illness in the 2 Years Prior to Pregnancy in a Population With Traumatic Brain Injury: A Cross-Sectional Study: La maladie mentale dans les deux ans précédant une grossesse dans une population souffrant de lésion cérébrale traumatique : une étude transversale.

OBJECTIVE: Existing studies, in mostly male samples such as veterans and athletes, show a strong association between traumatic brain injury (TBI) and mental illness. Yet, while an understanding of mental health before pregnancy is critical for informing preconception and perinatal supports, there are no data on the prevalence of active mental illness before pregnancy in females with TBI. We examined the prevalence of active mental illness ≤2 years before pregnancy (1) in a population with TBI, and (2) in subgroups defined by sociodemographic, health, and injury-related characteristics, all compared to those without TBI. METHOD: This population-based cross-sectional study was completed in Ontario, Canada, from 2012 to 2020. Modified Poisson regression generated adjusted prevalence ratios (aPRs) of active mental illness ≤2 years before pregnancy in 15,585 females with TBI versus 846,686 without TBI. We then used latent class analysis to identify subgroups with TBI according to sociodemographic, health, and injury-related characteristics and subsequently compared them to females without TBI on their outcome prevalence. RESULTS: Females with TBI had a higher prevalence of active mental illness ≤2 years before pregnancy than those without TBI (44.1% vs. 25.9%; aPR 1.46, 95% confidence interval, 1.43 to 1.49). There were 3 TBI subgroups, with Class 1 (low-income, past assault, recent TBI described as intentional and due to being struck by/against) having the highest outcome prevalence. CONCLUSIONS: Females with TBI, and especially those with a recent intentional TBI, have a high prevalence of mental illness before pregnancy. They may benefit from mental health screening and support in the post-injury, preconception, and perinatal periods. PLAIN LANGUAGE TITLE: Mental illness in the 2 years before pregnancy in a population with traumatic brain injury. PLAIN LANGUAGE SUMMARY: Research has shown a strong association between traumatic brain injury (TBI) and mental illness. Most previous studies have been conducted in primarily male samples, like veterans and professional athletes. Understanding mental health before pregnancy is important for deciding what supports people need before and during pregnancy. However, there are no studies on the frequency of mental illness in females with TBI before a pregnancy. We examined the frequency of mental illness 2 years before pregnancy in a population with TBI, and in subgroups defined by different social, health, and injury-related characteristics, compared to those without TBI. We undertook a population-wide study of all females with and without TBI in Ontario, Canada, with a birth in 2012-2020. We used statistical models to compare these groups on the presence of mental illness in the 2 years before pregnancy, before and after accounting for social and health characteristics. We also identified subgroups with TBI according to their social (e.g., poverty), health (e.g., chronic conditions), and injury-related characteristics (e.g., cause of injury) and subsequently compared them to females without TBI on their frequency of mental illness in the 2 years before pregnancy. Forty-four percent of females with TBI had mental illness in the 2 years before pregnancy compared to 25% of those without TBI. There were 3 TBI subgroups. Females with low-income, past assault, and injuries that were described as being intentional had the highest frequency of mental illness in the 2 years before pregnancy. Females with TBI may benefit from mental health screening and support post-injury and around the time of pregnancy.

Association between maternal employment status and presence of children with major congenital anomalies in Denmark.

IMPORTANCE: The burden of caring for children with complex medical problems such as major congenital anomalies falls principally on mothers, who in turn suffer a variety of potentially severe economic consequences. As well, health consequences of caregiving often further impact the social and economic prospects of mothers of children with major congenital anomalies (MCMCAs). Evaluating the long-term economic consequences of extensive in-home caregiving among MCMCAs can inform strategies to mitigate these effects. OBJECTIVE: To assess whether MCMCAs face reduced employment and increased need for disability benefits over a 20-year period. DESIGN: A population-based matched cohort study. SETTING: Denmark. PARTICIPANTS: All women who gave birth to a singleton child with a major congenital anomaly in Denmark between January 1, 1997 and December 31, 2017 (n = 23,637) and a comparison cohort of mothers matched by maternal age, parity, and infant's year of birth (n = 234,586). EXPOSURES: Liveborn infant with a major congenital anomaly. MAIN OUTCOMES AND MEASURES: The primary outcome was mothers' employment status, stratified by their child's age. Employment status was categorized as employed, outside the workforce (on temporary leave, holding a flexible job, or pursuing education), or unemployed; the number of weeks in each category was measured over time. The secondary outcome was time to receipt of a disability pension, which in Denmark implies permanent exit from the labor market. We used a negative binomial regression model to estimate the number of weeks in each employment category, stratified by the child's age (i.e., 0-1 year, > 1-6 years, 7-13 years, 14-18 years). A Cox proportional hazards regression model was used to compute hazard ratios as a measure of the relative risk of receiving a disability pension. Rate ratios and hazard ratios were adjusted for maternal demographics, pregnancy history, health, and infant's year of birth. RESULTS: During 1-6 years after delivery, MCMCAs were outside the workforce for a median of 50 weeks (IQR, 6-107 weeks), while members of the comparison cohort were outside the workforce for a median of 48 weeks (IQR, 4-98 weeks), corresponding to an adjusted rate ratio [ARR] of 1.05 (95% confidence interval [CI], 1.04-1.07). During the first year after delivery, MCMCAs were more likely to be employed than mothers in the comparison cohort (ARR, 1.08; 95% CI, 1.06-1.10). At all timepoints thereafter, MCMCAs had a lower rate of workforce participation. The rate of being outside the workforce was 5% higher than mothers in the comparison cohort during 1-6 years after delivery (ARR, 1.05; 95% CI, 1.04-1.07), 9% higher during 7-13 years after delivery (ARR, 1.09; 95% CI, 1.06-1.12), and 12% higher during 14-18 years after delivery (ARR, 1.12; 95% CI, 1.07-1.18). Overall, MCMCAs had a 20% increased risk of receiving a disability pension during follow-up than mothers in the matched comparison cohort [incidence rates 3.10 per 1000 person-years (95% CI, 2.89-3.32) vs. 2.34 per 1000 person-years (95% CI, 2.29-2.40), adjusted hazard ratio, 1.20; 95% CI, 1.11-1.29]. CONCLUSION AND RELEVANCE: MCMCAs were less likely to participate in the Danish workforce, less likely to be employed, and more likely to receive disability pensions than mothers of unaffected children. The rate of leaving the workforce intensified as their affected children grew older. The high demands of caregiving among MCMCAs may have long-term employment consequences even in nations with comprehensive and heavily tax-supported childcare systems, such as Denmark.

Building Healthy Babies: A Mixed-Methods Needs Assessment for a Pre-Conception Program in Ontario.

OBJECTIVES: The objective of this study was to gather Ontario clinicians' and public members' views on the design of a pre-conception patient education program. METHODS: In this mixed-methods study, online surveys comprised of rank order, multiple choice, and short answer questions were completed by clinicians and public members. Semi-structured focus groups consisting of 2-6 participants each were then held via videoconference. Demographic variables and survey responses were analyzed quantitatively using descriptive and summary statistics. Descriptive thematic qualitative analysis using the constant comparative method of grounded theory was completed on each transcript to generate themes. RESULTS: A total of 168 public members and 43 clinicians in Ontario completed surveys, while 11 clinicians and 11 public members participated in the focus groups. A pre-conception program in Ontario was felt to be important. An individual appointment with a primary care provider was the favoured program format per survey responses, whereas a virtual format with an interactive component was preferred among focus group participants. Important topics to include were pre-conception health (infertility, genetic screening, folic acid), prenatal and postpartum counselling (diet, activity, substance use, prenatal care, postpartum course), and medical optimization in pregnancy (high-risk medical conditions, medications, mental health). Both groups emphasized the need to consider accommodations for marginalized populations and various cultures and languages. CONCLUSION: A standardized pre-conception patient education program is felt to be of high value by Ontario clinicians and public members. A pre-conception program may help improve obstetrical outcomes and decrease rates of major congenital anomalies in Ontario.

Pharmacogenetic profiling via genome sequencing in children with medical complexity.

BACKGROUND: Children with medical complexity (CMC) are a priority pediatric population, with high resource use and associated costs. Genome-wide sequencing is increasingly organized for CMC early in life as a diagnostic test. Polypharmacy becomes common as CMC age. Clinically relevant pharmacogenetic (PGx) information can be extracted from existing genome sequencing (GS) data via GS-PGx profiling. The role of GS-PGx profiling in the CMC population is unclear. METHODS: Prescribed medications were extracted from care plans of 802 eligible CMC enrolled in a structured Complex Care Program over a 10-year period. Drug-gene associations were annotated using curated Clinical Pharmacogenetics Implementation Consortium data. GS-PGx profiling was then performed for a subset of 50 CMC. RESULTS: Overall, 546 CMC (68%) were prescribed at least one medication with an established PGx association. In the GS-PGx subgroup, 24 (48%) carried variants in pharmacogenes with drug-gene guidelines for one or more of their current medications. All had findings of potential relevance to some medications, including 32 (64%) with variants in CYP2C19 that could affect their metabolism of proton-pump inhibitors. CONCLUSION: GS-PGx profiling at the time of diagnostics-focused genetic testing could be an efficient way to incorporate precision prescribing practices into the lifelong care of CMC. IMPACT: Polypharmacy and genetic test utilization are both common in children with medical complexity. The role of repurposing genome sequencing data for pharmacogenetic profiling in children with medical complexity was previously unclear. We identified a high rate of medication use with clinically relevant drug-gene associations in this priority pediatric population and demonstrated that relevant pharmacogenetic information can be extracted from their existing genome sequencing data. Pharmacogenetic profiling at the time of diagnostics-focused genetic testing could be an efficient way to incorporate precision prescribing practices into the lifelong care of children with medical complexity.

Self-harm among youth during the first 28 months of the COVID-19 pandemic in Ontario, Canada: a population-based study.

BACKGROUND: Youth have reported worsening mental health during the COVID-19 pandemic. We sought to evaluate rates of pediatric acute care visits for self-harm during the pandemic according to age, sex and mental health service use. METHODS: We conducted a population-based, repeated cross-sectional study using linked health administrative data sets to measure monthly rates of emergency department visits and hospital admissions for self-harm among youth aged 10-17 years between Jan. 1, 2017, and June 30, 2022, in Ontario, Canada. We modelled expected rates of acute care visits for self-harm after the pandemic onset based on prepandemic rates. We reported relative differences between observed and expected monthly rates overall and by age group (10-13 yr and 14-17 yr), sex and mental health service use (new and continuing). RESULTS: In this population of about 1.3 million children and adolescents, rates of acute care visits for self-harm during the pandemic were higher than expected for emergency department visits (0.27/1000 population v. 0.21/1000 population; adjusted rate ratio [RR] 1.29, 95% confidence interval [CI] 1.19-1.39) and hospital admissions (0.74/10 000 population v. 0.43/10 000 population, adjusted RR 1.72, 95% CI 1.46-2.03). This increase was primarily observed among females. Rates of emergency department visits and hospital admissions for self-harm were higher than expected for both those aged 10-13 years and those aged 14-17 years, as well as for both those new to the mental health system and those already engaged in care. INTERPRETATION: Rates of acute care visits for self-harm among children and adolescents were higher than expected during the first 2 and a half years of the COVID-19 pandemic, particularly among females. These findings support the need for accessible and intensive prevention efforts and mental health supports in this population.

Competency Standard Derivation for Point-of-Care Ultrasound Image Interpretation for Emergency Physicians.

STUDY OBJECTIVE: Because number-based standards are increasingly controversial, the objective of this study was to derive a performance-based competency standard for the image interpretation task of point-of-care ultrasound (POCUS). METHODS: This was a prospective study. Operating on a clinically-relevant sample of POCUS images, we adapted the Ebel standard-setting method to derive a performance benchmark in 4 diverse pediatric POCUS applications: soft tissue, lung, cardiac and focused assessment with sonography in trauma (FAST). In Phase I (difficulty calibration), cases were categorized into interpretation difficulty terciles (easy, intermediate, hard) using emergency physician-derived data. In Phase II (significance), a 4-person expert panel categorized cases as low, medium, or high clinical significance. In Phase III (standard setting), a 3x3 matrix was created, categorizing cases by difficulty and significance, and a 6-member panel determined acceptable accuracy for each of the 9 cells. An overall competency standard was derived from the weighted sum. RESULTS: We obtained data from 379 emergency physicians resulting in 67,093 interpretations and a median of 184 (interquartile range, 154, 190) interpretations per case. There were 78 (19.5%) easy, 272 (68.0%) medium, and 50 (12.5%) hard-to-interpret cases, and 237 (59.3%) low, 65 (16.3%) medium, and 98 (24.5%) cases of high clinical significance across the 4 POCUS applications. The panel determined an overall performance-based competency score of 85.0% for lung, 89.5% for cardiac, 90.5% for soft tissue, and 92.7% for FAST. CONCLUSION: This research provides a transparent chain of evidence that derived clinically relevant competency standards for POCUS image interpretation.

ABO and Rh blood groups and risk of infection: systematic review and meta-analysis.

BACKGROUND: Persons with non-O and Rh-positive blood types are purported to be more susceptible to infection, including SARS-CoV-2, but there remains uncertainty about the degree to which this is so for both non-viral and viral infections. METHODS: We systematically reviewed Embase and PubMed from January 1st 1960 to May 31st 2022. English-language publications were selected that separately investigated the relation between ABO and/or Rh blood group and risk of SARS-CoV-2 and non-SARS-CoV-2 infection. Pooled odds ratios (ORp) and 95% confidence intervals (CI) were then generated for each. RESULTS: Non-O blood groups had a higher ORp for SARS-CoV-2 than O blood groups, both within 22 case-control studies (2.13, 95% CI 1.49- 3.04) and 15 cohort studies (1.89, 95% CI 1.56- 2.29). For non-SARS-CoV-2 viral infections, the respective ORp were 1.98 (95% CI 1.49-2.65; 4 case-control studies) and 1.87 (95% CI 1.53-2.29; 12 cohort studies). For non-viral infections, the ORp were 1.56 (95% CI 0.98-2.46; 13 case-control studies) and 2.11 (95% CI 1.67-6.67; 4 cohort studies). Rh-positive status had a higher ORp for SARS-CoV-2 infection within 6 case-control studies (13.83, 95% CI 6.18-30.96) and 6 cohort studies (19.04, 95% CI 11.63-31.17), compared to Rh-negative persons. For Rh status, non-SARS-CoV-2 infections, the ORp were 23.45 (95% CI 16.28-33.76) among 7 case-control studies, and 9.25 (95% CI 2.72-31.48) within 4 cohort studies. High measures of heterogeneity were notably observed for all analyses. CONCLUSIONS: Non-O and Rh-positive blood status are each associated with a higher risk of SARS-CoV-2 infection, in addition to other viral and non-viral infections.

Sociodemographic Differences in Physician-Based Mental Health and Virtual Care Utilization and Uptake of Virtual Care Among Children and Adolescents During the COVID-19 Pandemic in Ontario, Canada: A Population-Based Study.

OBJECTIVE: We sought to evaluate the relationship between social determinants of health and physician-based mental healthcare utilization and virtual care use among children and adolescents in Ontario, Canada, during the COVID-19 pandemic. METHODS: This population-based repeated cross-sectional study of children and adolescents (3-17 years; N = 2.5 million) used linked health and demographic administrative data in Ontario, Canada (2017-2021). Multivariable Poisson regressions with generalized estimating equations compared rates of outpatient physician-based mental healthcare use during the first year of the COVID-19 pandemic with expected rates based on pre-COVID patterns. Analyses were conducted by socioeconomic status (material deprivation quintiles of the Ontario Marginalization index), urban/rural region of residence, and immigration status. RESULTS: Overall, pediatric physician-based mental healthcare visits were 5% lower than expected (rate ratio [RR] = 0.95, 95% confidence interval [CI], 0.92 to 0.98) among those living in the most deprived areas in the first year of the pandemic, compared with the least deprived with 4% higher than expected rates (RR = 1.04, 95% CI, 1.02 to 1.06). There were no differences in overall observed and expected visit rates by region of residence. Immigrants had 14% to 26% higher visit rates compared with expected from July 2020 to February 2021, whereas refugees had similarly observed and expected rates. Virtual care use was approximately 65% among refugees, compared with 70% for all strata. CONCLUSION: During the first year of the pandemic, pediatric physician-based mental healthcare utilization was higher among immigrants and lower than expected among those with lower socioeconomic status. Refugees had the lowest use of virtual care. Further work is needed to understand whether these differences reflect issues in access to care or the need to help inform ongoing pandemic recovery planning.

Clinical Health Outcomes of Siblings of Children with Chronic Conditions: A Systematic Review and Meta-Analysis.

OBJECTIVE: The objective of the study was to assess clinical mental and physical health outcomes of siblings of children with chronic health condition(s) compared with siblings of healthy children or normative data. STUDY DESIGN: We searched Ovid MEDLINE, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, and CINAHL through August 9, 2021. We included English-language studies that reported clinically diagnosable mental or physical health outcomes among siblings of children (<18 years old) with a chronic health condition, included a comparison group, and used an experimental or observational study design. Two reviewers extracted data and independently assessed risk of bias using the Newcastle Ottawa Scale. RESULTS: Of 9899 screened studies, 34 were included; 28 studies reported on mental health, 3 reported on physical health, and 3 reported on mortality. Siblings of children with chronic conditions had greater depression rating scale scores than their comparison groups (standardized mean difference = 0.53; 95% CI = 0.38-0.68; P < .001 [6 studies]), whereas anxiety scores were not substantially increased (standardized mean difference = 0.21; 95% CI = -0.02 to 0.43; P = .07 [7 studies]). The effects for confirmed psychiatric diagnoses (7 studies), mortality (3 studies), or physical health outcomes (3 studies) could not be meta-analyzed given the limited number of studies and between-study heterogeneity. CONCLUSION: Siblings of children with chronic health conditions may be at an increased risk of depression. Our findings suggest the need for targeted interventions to support the psychological well-being of siblings of children with chronic health conditions.

Clinical and microbiological analysis of fungal keratitis in Toronto, Canada: A 20-year study.

Fungal keratitis is a devastating and difficult-to-treat ocular infection with high morbidity. Understanding geographic microbiological and clinical trends helps to guide rapid and effective treatment. We therefore report the characteristics and outcomes of fungal keratitis in Toronto,ON Canada, over a 20-year period. An electronic search of microbiology records at University Health Network, Toronto, ON, Canada identified all patients with positive corneal fungal culture over a 20-year period seen at our tertiary referral cornea practice. Review of corresponding patient charts identified demographic and microbiological details, clinical course, treatment regimen, and final outcomes associated with each episode of culture-positive fungal keratitis. A total of 46 patients with 51 discrete fungal keratitis episodes were included. Five patients experienced recurrent fungal keratitis. Candida species accounted for 60.8% of positive fungal cultures, followed by Filamentous species at 35.3%. Preferred initial anti-fungal treatment was topical amphotericin at 36.7% followed by topical voriconazole at 32.6%. Surgical intervention was required in 48.9% with therapeutic penetrating keratoplasty being the most common procedure (22.4%). Final visual acuity (VA) of <20/200 was attributed to 58% of patients in this study. Risk factors for poor outcomes included poor VA, topical steroid use at presentation, Candida involvement, history of ocular surface disease, organic ocular trauma, or prior corneal transplantation. Candida is the most frequent keratomycotic pathogen in Toronto. Risk factors for poor visual outcome include prior corneal transplantation, ocular surface disease/trauma, or pre-existing topical steroid use. Early suspicion, diagnosis and treatment are paramount for best clinical outcomes. LAY SUMMARY: Fungal keratitis can cause severe vision loss without effective treatment. In Toronto, Candida had been the most common species over a 20-year period. Poor clinical outcome was associated with low presenting visual acuity, previous corneal transplant, topical steroid use, trauma, and Candida involvement.

Research priorities for children with neurological impairment and medical complexity in high-income countries.

AIM: To identify the highest-priority clinical research areas related to children with neurological impairment and medical complexity among clinicians and caregivers. METHOD: A modified, three-stage Delphi study using online surveys and guided by a steering committee was completed. In round 1, clinicians and family caregivers suggested clinical topics and related questions that require research to support this subgroup of children. After refinement of the suggestions by the steering committee, participants contributed to 1 (family caregivers) or 2 (clinicians) subsequent rounds to develop a prioritized list. RESULTS: A diverse international expert panel consisting of 49 clinicians and 12 family caregivers provided 601 responses. Responses were distilled into 26 clinical topics comprising 126 related questions. The top clinical topics prioritized for research were irritability and pain, child mental health, disorders of tone, polypharmacy, sleep, aspiration, behavior, dysautonomia, and feeding intolerance. The clinician expert panel also prioritized 10 specific research questions. INTERPRETATION: Study findings support a research agenda for children with neurological impairment and medical complexity focused on addressing clinical questions, prioritized by an international group of clinicians and caregivers.

A modified pediatric ocular trauma score for predicting visual outcome post open globe injury.

PURPOSE: To construct a new pediatric ocular trauma score for predicting visual outcome after open globe injuries (OGI) and to compare it to the ocular trauma score (OTS) and pediatric ocular trauma score (POTS). METHODS: This is a retrospective chart review study. For each case, the following data were collected: demographics, mechanism of the injury, initial ophthalmologic findings, presented and last follow-up visual acuity (VA), ocular treatments, and final ocular findings. We then analyzed the risk factors for the poor visual outcome (VA ≤ 20/200), and a modified pediatric ocular trauma score (MPOTS) was constructed accordingly and compared to the OTS and POTS for predicting poor outcome. Finally, a different cohort of pediatric OGIs was used for score validation. RESULTS: Forty-five cases were included, significant predicting factors for poor visual outcome were initial VA ≤ 20/200, zone 2-3 locations of injury, presence of retinal detachment, vitreous hemorrhage, hyphema, and iris prolapse at initial presentation. The calculated Spearman correlation coefficients between each system score and poor visual outcome were OTS 0.56, POTS 0.57, and MPOTS 0.64 (P < 0.001 for all). A total of 71 new cases were used as validation cohort, and calculated Spearman correlation coefficients between each system score and poor visual outcome were: OTS 0.50, POTS 0.51, and MPOTS 0.53 (P < 0.001 for all). CONCLUSIONS: We suggest a new scoring system for predicting poor final visual outcomes after OGI's in children, which is simpler and more clinically suitable for this study population. It was found to be a better predictor of visual outcome in this scenario compared with existing scoring systems.

The impact of the COVID-19 pandemic on children with medical complexity.

BACKGROUND: Descriptions of the COVID-19 pandemic's indirect consequences on children are emerging. We aimed to describe the impacts of the pandemic on children with medical complexity (CMC) and their families. METHODS: A one-time survey of Canadian paediatricians using the Canadian Paediatric Surveillance Program (CPSP) was conducted in Spring 2021. RESULTS: A total of 784 paediatricians responded to the survey, with 70% (n = 540) providing care to CMC. Sixty-seven (12.4%) reported an adverse health outcome due to a COVID-19 pandemic-related disruption in healthcare delivery. Disruption of the supply of medication and equipment was reported by 11.9% of respondents (n = 64). Respondents reported an interruption in family caregiving (47.5%, n = 252) and homecare delivery (40.8%, n = 218). Almost 47% of respondents (n = 253) observed a benefit to CMC due to COVID-19 related changes in healthcare delivery, including increased availability of virtual care and reduction in respiratory illness. Some (14.4%) reported that CMC were excluded from in-person learning when their peers without medical complexity were not. CONCLUSION: Canadian paediatricians reported that CMC experienced adverse health outcomes during the COVID-19 pandemic, including disruptions to family caregiving and community supports. They also describe benefits related to the pandemic including the expansion of virtual care. These results highlight the need for healthcare, community and education policymakers to collaborate with families to optimize their health.

Genome sequencing among children with medical complexity: What constitutes value from parents' perspective?

Genome sequencing (GS) has demonstrated high diagnostic yield in pediatric patients with complex, clinically heterogeneous presentations. Emerging evidence shows generally favorable experiences for patients and families receiving GS. As a result, implementation of GS in pediatrics is gaining momentum. To inform implementation, we conducted a qualitative study to explore the personal utility of GS for parents of children with medical complexity (CMC). GS was performed at an academic tertiary-care center for CMC for whom a genetic etiology was suspected. Following the return of GS results, semi-structured interviews were conducted with 14 parents about their child's diagnostic journey. Of the children whose parents were interviewed, six children received a diagnosis, two received a possible diagnosis, and six did not receive a diagnosis. A predominantly deductive thematic analysis approach to the interview data was used by applying Kohler's personal utility framework to understand affective, cognitive, behavioral and social impacts of GS. Both the diagnosed and undiagnosed groups experienced enhanced emotion-focused coping (affective). The diagnosed group experienced favorable utility related to knowledge of condition (cognitive) and communication with relatives (behavioral). A domain beyond Kohler's framework related to the presence or absence of GS impact on medical management was also described by parents. The deployment of GS late in the diagnostic odyssey and the limited knowledge available for the rare genetic disorders diagnosed in this cohort appeared to diminish the perceived utility of GS. As GS capabilities continue to evolve at a rapid pace and become available earlier in the diagnostic journey, it is important to consider the impact and timing of testing on parents of CMC.

Mother-nurse decision making practices for children with complex health care needs receiving homecare services: A qualitative descriptive study.

BACKGROUND: Many children with complex health care needs face chronic health and developmental issues that may include functional impairments, neurodevelopmental disabilities, and lifelong dependence on medical technology. Providing the necessary care and services for this unique group of children and youth places substantial demands on the health care system. Much of the focus on improvements has been in acute care settings even though homecare accounts for the largest proportion of health care utilization among children with complex health care needs. While parents assume great responsibility for their child's care at home, they indicate that the balance of power between themselves and their health care providers does not change when care shifts from the hospital to home. Given the expanding role of paediatric homecare and parents' concerns of their role in decisions related to their child's care, it is imperative to explore these practices in this unique setting. PURPOSE: The purpose of this work is to explore mother-nurse decision making practices for children with complex health care needs receiving health care services in their home. METHODS: A qualitative descriptive study design was used. Five mothers and five nurses participated. Twenty-six home observations with accompanying analytical memos and 10 semistructured interviews were conducted with five mothers and five homecare nurses. Thematic analysis of study data, using an iterative process, identified major themes. FINDINGS: Data revealed the complex and relational nature of mother-nurse decision making practices within the home setting. Three major themes were identified: (1) core areas of decision making, (2) a dynamic and collaborative process, and (3) centrality of relationships. CONCLUSIONS: Study findings enhanced our understanding of how decision making and relational care practices take place in the home for children with complex health care needs receiving homecare services, which has implications for child and family health.

Use of machine learning to achieve keratoconus detection skills of a corneal expert.

PURPOSE: To construct an automatic machine-learning derived algorithm discriminating between normal corneas and suspect irregular or keratoconic corneas. METHODS: A total of 8526 corneal tomography images of 4904 eyes obtained between November 2010 and July 2017 using a combined Scheimpflug/Placido tomographer were retrospectively evaluated. Each image was evaluated for acquisition quality and was labeled as normal, suspect irregular or keratoconic by a cornea specialist. Two algorithms were built. The first was based on 94 instrument-derived output parameters, and the second integrated keratoconus prediction indices of the device with the 94 instrument-derived output parameters. Both models were compared with the tomographer's keratoconus detection algorithms. Out of the 8526 images evaluated, 7104 images of 3787 eyes had sufficient acquisition quality. Of those, 5904 examinations were randomly chosen for construction of the models using the random forest algorithm. The models were then validated using the remaining 1200 examinations. RESULTS: Both RF algorithms had a larger AUC compared with any of the tomographer's KC detection algorithms (p < 10-9). The first constructed model had 90.2% accuracy, sensitivity of 94.2%, and specificity of 89.6% (Youden 0.838). Calculated AUC was 0.964. The second model had 91.5% accuracy, sensitivity of 94.7%, and specificity of 89.8% (Youden 0.846). Calculated AUC was 0.969. CONCLUSION: Using the RF machine-learning algorithm, accuracy of discrimination between normal, suspect irregular and keratoconic corneas approximates that of an experienced corneal expert. Applying machine learning to corneal tomography can facilitate keratoconus screening in large populations as well as off-site screening of refractive surgery candidates.