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IntroductionYouth with complex-needs are vulnerable as a consequence of exposure to social adversity and/or chronic health conditions, and are at a high risk of school failure and justice involvement. Information about the patterns of service use across government sectors that influence the life outcomes of complex-needs youth is unknown.
Objectives and ApproachYouth with complex needs often engage with multiple services across multiple government sectors for extended periods of time. Understanding the patterns and trajectory of their service use may inform programs, decision makers and government in the optimal allocation of resources to increase their life outcomes. It may reveal where and when interventions would be most effective to improve the life course for vulnerable youth. In this study, through a unique approach to link over 20 administrative longitudinal datasets and a novel trajectory clustering technique, the patterns of service use among complex-needs young Albertans is revealed and visualized.
ResultsA trajectory clustering technique was applied to reveal patterns of service use among complex-needs individuals. Compared to the general population, higher proportions of youth with complex needs lived in low socio-economic neighborhoods, suffered from mental health issues, were high cost health service users, and had lower rates of high school completion. Furthermore, youth having complex needs for a longer period of time and who required multiple complex services in a given year had the poorest outcomes, in terms of high school completion, mental health issues, and other health problems. The majority of complex-needs youth came in contact with services via the education system, followed by child services/welfare.
Conclusion/ImplicationsThe trajectories of service use among complex-needs youth reveals that these individuals are primarily identified through education. Consequently, educational supports would best address the development of effective programs including mental health supports and other needs.

Support has been found for the intergenerational transmission of risk from maternal adverse childhood experiences (ACEs) to child outcomes. Less research has focused on longitudinal psychosocial pathways that account for this transmission. In the current study, path analysis examined mediating pathways (i.e., maternal adult attachment insecurity, romantic relationship functioning, and maternal anxiety and depression symptoms) in the association between maternal ACEs and internalizing and externalizing concerns among their child at eight years of age. Participants included 1,994 mother-child dyads from a prospective longitudinal cohort sample. Maternal ACEs were significantly associated directly with child internalizing concerns (β = .06, p = .025) and indirectly via both maternal attachment anxiety and avoidance, lower romantic relationship functioning, and depression, (β = .002, p = .006; β = .003, p = .005, respectively). Maternal ACEs were directly associated with child externalizing concerns (β = .06, p = .018) and indirectly via both maternal attachment anxiety and avoidance, lower romantic relationship functioning, and depression, (β = .001, p = .008; β = .002, p = .010, respectively). This study identified several maternal risk factors that have implications for downstream internalizing and externalizing concerns among their children.

IntroductionInnovative data platforms (e.g. biobanks, repositories) continually emerge to facilitate data sharing. Extant and emerging data platforms must navigate myriad tensions for successful data sharing and re-use. Two Alberta data platforms navigated such processes and factors regarding administrative, research and nonprofit data: the Child & Youth Data Laboratory (CYDL) and Secondary Analysis to Generate Evidence (SAGE).
ObjectivesTo clarify the social and policy factors that influenced CYDL and SAGE establishment and implementation, and the relationships, if any, between these factors and data type.
MethodsThis paper involves a qualitative secondary analysis of two developmental evaluations on CYDL and SAGE establishment. Six-years post-implementation, the CYDL evaluation entailed document review; website user analysis; informant interviews (n=30); online stakeholder survey (n=260); and an environmental scan. One-year post implementation, the SAGE evaluation included 15 interviews and document review. We used thematic analysis and comparisons with the literature to identify key factors.
ResultsThree (not mutually exclusive) categories of social and policy factors influenced the navigation towards CYDL and SAGE realization: trusting relationships; sustainability amidst readiness; and privacy within social context. For these platforms to be able to manage, link or share data, trust had to be fostered and maintained across multiple, dynamic and intersecting relationships between primary data producers, data subjects, secondary users and institutions. Platform sustainability and readiness required capacity building and innovation. Privacy and information sharing evolved culturally and correspondingly for these data platforms, which required constant flexibility and awareness.
ConclusionsThis commentary calls for more empirical research on the value of data re-use or the detriment in not re-using data. While the culture of information sharing is progressing towards greater openness and capacity for data sharing and re-use, successful data platforms must advocate, facilitate and mobilize analysis and innovation using data re-use while being cognizant of social and policy influences.

AbstractPreschool children living in low‐income families are at increased risk for poor outcomes; early intervention programmes mitigate these risks. While there is considerable evidence of the effectiveness of centre‐based programmes in other jurisdictions, there is limited research about Canadian programmes, specifically programmes that include children and parents. The purpose of this study was to evaluate a single‐site, two‐generation preschool demonstration programme for low‐income families in Canada. A single group, pre‐test (programme intake) /post‐test (programme exit) design with a 7‐year‐old follow‐up was used. Between intake and exit, significant improvements in receptive language and global development were found among the children, and significant improvements in self‐esteem, use of community resources, parenting stress and risk for child maltreatment were found among the parents. These positive improvements were sustained until the children were 7 years old. Public investment in two‐generation preschool programmes may mitigate risks for suboptimal child development and improve parental psychosocial outcomes.

Knowledge of child development influences parental expectations of, and interactions with, children. Studies have shown that maternal knowledge supports cognitive and social–emotional development of young children and can have long-lasting benefits. Level of developmental knowledge of parents and grandparents has seldom been investigated on a population level. Our aim was to compare Canadian and Dutch samples of urban parents and grandparents in terms of normative knowledge of children's cognitive and social–emotional development. Urban parents ( n = 379) and grandparents ( n = 174) from the province of Alberta, Canada ( N = 553) and parents ( n = 634) and grandparents ( n = 96) of the city of The Hague in the Netherlands ( N = 730) answered questions related to knowledge of cognitive and social–emotional development of young children, including topics such as "do children have stronger bonds with parents who stay at home instead of working outside the home?" and "do children learn more from hearing someone in the same room talk than hearing someone on TV?" Overall, the Canadian respondents were more likely to answer these questions correctly. In both samples, women were more likely than men to answer correctly. No significant relationship between age or role (parent or grandparent) and knowledge was identified, but there was a positive correlation between knowledge and level of education. Little is known about international differences in caregivers' knowledge about normative child development. This study suggests that differences exist. Understanding differences between countries in parental knowledge may provide insight into cross-cultural variability in child behavioral and developmental outcomes.

IntroductionPooling data from cohort studies can be used to increase sample size. However, individual datasets may contain variables that measure the same construct differently, posing challenges in the usefulness of combined datasets. Variable harmonization (an effort that provides comparable view of data from different studies) may address this issue.
Objectives and ApproachThis study harmonized existing datasets from two prospective pregnancy cohort studies in Alberta Canada (All Our Families (n=3,351) and Alberta Pregnancy Outcome and Nutrition (n=2,187)). Given the comparability of the characteristics of the two cohorts and similarities of the core data elements of interest, data harmonization was justifiable. Data harmonization was performed considering multiple factors, such as complete or partial variable matching regarding question asked/responded, the response coded (value level, value definition, data type), the frequency of measurement, the pregnancy time-period of measurement, and missing values. Multiple imputation was used to address missing data resulting from the data harmonization process.
ResultsSeveral variables such as ethnicity, income, parity, gestational age, anxiety, and depression were harmonized using different procedures. If the question asked/answered and the response recorded was the same in both datasets, no variable manipulation was done. If the response recorded was different, the response was re-categorized/re-organized to optimize comparability of data from both datasets. Missing values were created for each resulting unmatched variables and were replaced using multiple imputation if the same construct was measured in both datasets but using different ways/scales. A scale that was used in both datasets was identified as a reference standard. If the variables were measured in multiple times and/or different time-periods, variables were synchronized using pregnancy trimesters data. Finally, harmonized datasets were then combined/pooled into a single dataset (n=5,588).
Conclusion/ImplicationsVariable harmonization is an important aspect of conducting research using multiple datasets. It provides an opportunity to increase study power through maximizing sample size, permitting more sophisticated statistical analyses, and to answer novel research questions that could not be addressed using a single study.

Research data repositories (RDRs) are data storage entities where data can be submitted, stored, and subsequently accessed for purposes beyond the original intent. There is little information relating to non-biological RDRs, nor considerations regarding pediatric data storage and re-use. We examined parent perspectives on pediatric, non-biological RDRs. Qualitative, descriptive methods including both interviews and focus groups were used. Purposive sampling of adult participants in two provincial birth cohorts yielded 19 interviewees and 18 focus group participants (4 groups). Transcripts were analyzed by thematic content analysis. Parent research participants strongly supported the sharing of their own, and their child's, non-biological research data. Four themes emerged: that altruism has limits, that participants have ongoing privacy concerns, that some participants need the assurance of congruent values between themselves and researchers/research questions, and that opinions diverge for some governance issues. The establishment of RDRs is important and maximizes participants', researchers', and funders' investments. Participants as data donors have concerns relating to privacy, relationships, and governance that must be considered in RDR development.

Data pooling from pre-existing multiple datasets can be useful to increase study sample size and statistical power to answer a research question. However, individual datasets may contain variables that measure the same construct differently, posing challenges for data pooling. Variable harmonization, an approach that can generate comparable datasets from heterogeneous sources, can address this issue in some circumstances. As an illustrative example, this paper describes the data harmonization strategies that helped generate comparable datasets across two Canadian pregnancy cohort studies– the All Our Families and the Alberta Pregnancy Outcomes and Nutrition.
Variables were harmonized considering multiple features across the datasets: the construct measured; question asked/response options; the measurement scale used; the frequency of measurement; timing of measurement, and the data structure. Completely matching, partially matching, and completely un-matching variables across the datasets were determined based on these features. Variables that were an exact match were pooled as is. Partially matching variables were synchronized across the datasets considering the frequency of measurement, the timing of measurement, and response options. Variables that were completely unmatching could not be harmonized into a single variable.
The variable harmonization strategies that were used to generate comparable cohort datasets for data pooling are applicable to other data sources. Future studies may employ or evaluate these strategies. Variable harmonization and pooling provide an opportunity to increase study power and the utility of existing data, permitting researchers to answer novel research questions in a statistically efficient, timely, and cost-efficient manner that could not be achieved using a single data source.

Despite Canada's strengths and widespread acknowledgment of the importance of children and youth, this country recently ranked 30th among 38 high-income countries on indicators of their well-being (UNICEF Innocenti 2020). While there are limited data readily available for monitoring within and across jurisdictions, Alberta compares worse than Canadian averages on indicators of early development vulnerability and child abuse (PHAC 2023a).
The Alberta government convened a Child and Youth Well-being Review (GOA 2021) and Action Plan (GOA 2022a) to understand and address the pandemic's adverse impacts. Indigenous and racialized children and youth, children in low-income families and children with disabilities were highlighted as being disproportionately impacted. In addition, the review found significant gaps in mental health, education, social data and evidence along with fragmentation of data within ministries and service systems (GOA 2021).
Influences on child and youth health, well-being and health inequity have social, environmental and economic origins that extend beyond health policy boundaries (Lopez et al. 2021; Vargas-Barón, Diehl and Small 2022; Clark et al. 2020; Patton et al. 2016). Yet, public policy can be a powerful intermediary between children's conditions and outcomes (UNICEF 2020). Cross-sectoral, whole-of-society approaches are required to improve child and youth health and well-being and government ministries have important roles to play (Akseer et al. 2020; De Montigny, Desjardins and Bouchard 2019; Leppo et al. 2013).
Meaningful and accessible measurement and monitoring information is required to support co-ordinated, cross-sectoral decision-making and policy strategies to improve health outcomes and reduce health inequities (OECD 2021). Information is required about child and youth material living standards, physical and mental health, social lives and learning and education (OECD 2021). While definitions of child and youth well-being vary depending on diverse perspectives and cultural, social and local contexts, many established indicators and frameworks can be tailored to local community needs and priorities (OECD 2021).

Objectives: Our aim is to understand the effect of the COVID-19 pandemic on families who have been followed longitudinally in two cohorts studied in Alberta, Canada. We will examine household infections during the COVID-19 pandemic, financial impact, domestic violence, substance use, child school and daily life and relationships in the home. We will identify risk and protective factors for maternal mental health outcomes using longitudinal data that can inform policy and government resource allocation in future disasters. Methods: Mothers who are currently participating in two longitudinal studies, Alberta Pregnancy Outcomes and Nutrition (APrON; N = 1,800) and All Our Families (AOF: N = 2,534) were eligible to participate. Mothers were invited to complete the baseline COVID-19 Impact Survey (20–30 min) within 4 months of March 15, 2020, which was when the province of Alberta, Canada, implemented school closures and physical-distancing measures to prevent the spread of COVID-19. Mothers were asked to report on their own, their child's and their family's functioning. Mothers were re-surveyed at 6 months after completion of the initial COVID-19 Impact Survey, and will be re-surveyed again at 12 months. Results: Responses from participants in both cohorts will be examined in harmonized analyses as well as separately. Descriptive, multivariable analysis will be undertaken to examine risk and resiliency over time and factors that predict mental health and well-being. Conclusions: This study will provide timely information on the impact of COVID-19 for Albertan families. It will identify risk and protective factors for mental health and well-being among contemporary urban families supported by a publicly funded health care system to inform allocation of resources to support those most vulnerable during a global pandemic.