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Background We describe the implementation and evaluation of an integrated, stepped care model aimed to identify and address the concerns of adolescents with type 1 diabetes (T1D) associated with diabetes-related quality of life (DRQoL), emotional well-being and depression. Methods The care model with 4 steps: 1) Systematic identification and discussion of concerns salient to adolescents; 2) Secondary screening for depressive symptoms when indicated; 3) Developing collaborative treatment plans with joint physical and mental health goals; and 4) Psychiatric assessment and embedded mental health treatment; was implemented into an ambulatory pediatric diabetes clinic and evaluated using quantitative and qualitative methods. Results There were 236 adolescents (aged 13-18 years) with T1D that were enrolled in the care model. On average adolescents identified 3 concerns associated with their DRQoL and 25% indicated low emotional well-being. Fifteen adolescents received a psychiatric assessment and embedded mental health treatment. Both adolescents and caregivers were appreciative of a broader, more holistic approach to their diabetes care and to the greater focus of the care model on adolescents, who were encouraged to self-direct the conversation. Parents also appreciated the extra level of support and the ability to receive mental health care for their adolescent from their own diabetes care team. Conclusion The initial findings from this project indicate the acceptability and, to limited extent, the feasibility of an integrated stepped care model embedded in an ambulatory pediatric diabetes clinic led by an interdisciplinary care team. The care model facilitated the identification and discussion of concerns salient to youth and provided a more holistic approach. This article is protected by copyright. All rights reserved.

Thematic analysis of personal networks involves identifying regularities in network structure and content, and grouping networks into types/clusters, to allow for a holistic understanding of social complexities. We propose an inductive approach to network thematic analysis, applying the learnings from qualitative coding, fused mixed-methods analysis, and typology development. It involves framing (changing focus by magnifying, aggregating, and graphical configuration), pattern detection (identification of underlying dimensions, sorting, and clustering), labeling, and triangulating (confirmation and fine-tuning using quantitative and qualitative approaches); applied repeatedly and emergently. We describe this approach utilized in two cases of studying support networks of caregivers.

PurposeIn Canada, integrated care pilot projects are often implemented as a local reform strategy to improve the quality of patient care and system efficiencies. In the qualitative study reported here, the authors explored the experiences of healthcare professionals when first implementing integrated care pilot projects, bringing together physical and mental health services, in a community hospital setting.Design/methodology/approachEngaging a qualitative descriptive study design, semi-structured interviews were conducted with 24 healthcare professionals who discussed their experiences with implementing three integrated care pilot projects one year following project launch. The thematic analysis captured early implementation issues and was informed by an institutional logics framework.FindingsThree themes highlight disruptions to established logics reported by healthcare professionals during the early implementation phase: (1) integrated care practices increased workload and impacted clinical workflows; (2) integrating mental and physical health services altered patient and healthcare provider relationships; and (3) the introduction of integrated care practices disrupted healthcare team relations.Originality/valueStudy findings highlight the importance of considering existing logics in healthcare settings when planning integrated care initiatives. While integrated care pilot projects can contribute to organizational, team and individual practice changes, the priorities of healthcare stakeholders, relational work required and limited project resources can create significant implementation barriers.

Our study purpose was to determine the prevalence of metabolically healthy obesity (MHO) and examine factors associated with MHO in children with obesity. This cross-sectional study was a secondary, exploratory analysis of data that included 2-17 years old with a body mass index (BMI) ≥85th percentile from the CANadian Pediatric Weight management Registry. Children were classified as having MHO or metabolically unhealthy obesity (MUO) using consensus-based criteria. Those with MHO had normal triglycerides, high-density lipoprotein cholesterol, blood pressure, and fasting glucose. Logistic regression was used to examine factors associated with MHO, which included calculating odds ratios (ORs) and 95% confidence intervals (CIs). In total, 945 children were included (mean age: 12.3 years; 51% female). The prevalence of MHO was 31% (n = 297), with lower levels across increasing age categories (2-5 years [n = 18; 43%], 6-11 years [n = 127; 35%], 12-17 years [n = 152; 28%]). Children with MHO were younger, weighed less, and had lower BMI z-scores than their peers with MUO (all p

Summary Background Disease severity in paediatric obesity is usually defined using the body-mass index (BMI). Although informative at the population level, its usefulness on an individual level has limitations. The use of a clinical staging system—Edmonton Obesity Staging System for Pediatrics (EOSS-P)—in identifying health risk has been proposed. This study aimed to examine the association between BMI class and EOSS-P stage. Methods This cross-sectional study was done in children with obesity aged 5–17 years who enrolled in the Canadian Pediatric Weight Management Registry (CANPWR) between May 31, 2013, and Oct 27, 2017, involving ten multidisciplinary paediatric weight management clinics in Canada. We classified participants into WHO BMI classes (class I as 2–3 SD scores, class II as >3 SD scores, and class III as >4 SD scores above the WHO growth standard median), and applied the EOSS-P staging system (stages 0, 1, and 2/3) based on the clinical assessment of coexisting metabolic, mechanical, mental health, and social milieu issues. Clinical information was extracted from medical records and reported using standardised case report forms. Associations of BMI class with EOSS-P stage were examined in children with complete data. Findings Of the 847 children with complete data, 546 (64%) had severe obesity based on BMI class (ie, class II or III) and 678 (80%) were EOSS-P stage 2/3. Stage 2/3 obesity-related health issues were common; mental health concerns were most common (520 [61%] of 847 children), followed by metabolic (349 [41%] of 847 children), social milieu (179 [21%] of 847 children), and mechanical (86 [10%] of 847 children) health issues. Mental health issues (eg, anxiety and attention-deficit hyperactivity disorder) were equally distributed across BMI classes, metabolic health issues were slightly more common in higher BMI classes, and mechanical (eg, musculoskeletal issues and sleep apnoea) and social milieu (eg, bullying and low household income) issues increased with increasing BMI class. Of children with class I obesity, 206 (76%) of 270 had overall EOSS-P stage 2/3, compared with 195 (85%) of 229 with class III obesity. Interpretation Physical and mental health issues were highly prevalent among children with obesity irrespective of BMI class. Participants with class III obesity carried the greatest health risk across subcategories of the EOSS-P. As BMI class increased, a concomitant increased disease burden in mechanical and social milieu issues was observed, whereas metabolic and mental health risks were high across BMI classes. Funding Canadian Institutes of Health Research, Ontario Ministry of Health, McMaster University, and McMaster Children's Hospital.

Background: Clinical practice guidelines for pediatric weight management highlight the importance of family-based behavioral strategies to enhance health behaviors. Little is known, however, of how clinics implement these programs. The study objectives were to (1) describe how Canadian pediatric weight management clinics deliver care and (2) evaluate change in services over time. Methods: The CANadian Pediatric Weight management Registry (CANPWR) is a multisite prospective cohort study of participants enrolled in a Canadian pediatric weight management clinic. Clinical program characteristics (e.g., referral process, inclusion criteria, funding, program characteristics, patient interaction methods, and follow-up) were collected at the start and end of the CANPWR recruitment period (2015-2019). Results: Entrance into the nine clinics varied with limiting criteria based on geographic proximity, age, weight status, and presence of health conditions. The clinics varied in size (50-220 new patients/year). The planned length of intervention varied widely, from 10 weeks to open-ended (median 2 years). Behavior modification strategies were delivered with a mix of individual and group-based sessions and most were delivered in person, complemented by use of virtual care. Over time, more clinics saw patients under the age of 5 years and all clinics defined a program length. Conclusion: Although all clinics offered family-based behavioral weight management services, these varied considerably, especially in program entrance criteria, size of clinic, and the length of intervention. The influence of the variability in delivery of services on health outcomes will be addressed in future studies.

Social networks influence the health and well-being of children and families. This study aimed to identify and understand the social networks of caregivers of children participating in the KidFit Health and Wellness Clinic, a paediatric weight management program. An egocentric social network analysis was used. Caregivers with children enrolled in KidFit participated in semi-structured interviews by completing a personal network map and discussing the individuals in their social networks and their influence on them and their family. Twenty-two caregivers (90.9% mothers) completed the interview. Four structural patterns were identified within the networks: existence of a core, star-shaped network, well-connected network and existence of multiple clusters. Healthcare providers and family had the most influence within the caregivers' networks. With the exception of healthcare providers, individuals who communicated less frequently with caregivers tended to have less influence on caregivers. Internet resources, activity-related resources and social media were the top three services, resources or supports that caregivers reported accessing. It is important that practitioners working with children and families within paediatric settings recognize the unique sociocultural context of each family. Reconceptualising a care model that includes community and incorporates services, supports and resources beyond the clinic could enhance treatment.

OBJECTIVE To conduct a systematic review of the literature for strategies designed to reduce attrition in managing paediatric obesity. METHODS We searched Ovid Medline (1946 to May 6, 2020), Ovid Embase (1974 to May 6, 2020), EBSCO CINAHL (inception to May 6, 2020), Elsevier Scopus (inception to April 14, 2020), and ProQuest Dissertations & Theses (inception to April 14, 2020). Reports were eligible if they included any obesity management intervention, included 2 to 18 year olds with overweight or obesity (or if the mean age of participants fell within this age range), were in English, included experimental study designs, and had attrition reduction as a main outcome. Two team members screened studies, abstracted data, and appraised study quality. RESULTS Our search yielded 5,415 original reports; six met inclusion criteria. In three studies, orientation sessions (n = 2) and motivational interviewing (MI) (n = 1) were used as attrition-reduction strategies before treatment enrollment; in three others, text messaging (n = 2) and MI (n = 1) supplemented existing obesity management interventions. Attrition-reduction strategies led to decreased attrition in two studies, increased in one, and no difference in three. For the two strategies that reduced attrition, (a) pre-treatment orientation and (b) text messaging between children and intervention providers were beneficial. The quality of the six included studies varied (good [n = 4]; poor [n = 2]). CONCLUSION Some evidence suggests that attrition can be reduced. The heterogeneity of approaches applied and small number of studies included highlight the need for well-designed, experimental research to test the efficacy and effectiveness of strategies to reduce attrition in managing paediatric obesity.

Purpose of ReviewThis manuscript describes how person-reported outcomes (PROs) can be utilized in care for young people with diabetes in the context of motivation.Recent FindingsThe use of person-reported outcome measures (PROMS) in clinical care is feasible and acceptable, and helps focus the clinical encounter on life domains important to the person with diabetes. Results with regard to impact on self-management and glycemic outcomes are limited. Motivation is an important factor for self-management. Based on self-determination theory, autonomy-supportive, person-centered, and collaborative communication by diabetes care providers is associated with better outcomes. PROMs can facilitate this conversation.SummaryUnderstanding of youth motivation for maintaining or improving self-management behaviors requires a person-centered approach. PROMs can be used to facilitate an autonomy-supportive and person-centered conversation in clinical care. Training diabetes care providers in autonomy-supportive, person-centered conversation skills to discuss PROs might help to tap into youth’s motivation, but further research is needed.

OBJECTIVES (1) To explore individual and family characteristics related to anthropometric and cardiometabolic health indicators and (2) examine whether characteristics that correlate with cardiometabolic health indicators differ across severity of obesity at time of entry to Canadian pediatric weight management clinics. METHODS We conducted a cross-sectional analysis of 2-17 year olds with overweight or obesity who registered in the CANadian Pediatric Weight Management Registry (CANPWR) between May 2013 and October 2017 prior to their first clinic visit. Individual modifiable health behaviors included dietary intake, physical activity, screen time, and sleep. Family characteristics included parental BMI, family medical history, socioeconomic status and family structure. Linear mixed effects stepwise regression analysis was performed to determine which characteristics were related to each health indicator: BMI z-score; waist circumference; waist to height ratio; blood pressure; glycemia; HDL cholesterol; non-HDL cholesterol; triglycerides. RESULTS This study included 1296 children (mean age ± standard deviation: 12.1 ± 3.5 years; BMI z-score: 3.55 ± 1.29; 95.3% with obesity). Hours spent sleeping (estimated β = -0.10; 95% CI [-0.15, -0.05], p = 0.0001), hours per week of organized physical activity (estimated β = -0.32; 95% CI [-0.53, -0.11], p = 0.0026), daily sugared drink intake (estimated β = 0.06; 95% CI [0.01, 0.10], p = 0.0136) and maternal BMI (estimated β = 0.03; 95% CI [0.02, 0.04], p

Paediatric obesity management remains generalised to dietary and exercise modifications with an underappreciation for the contributions of eating behaviours and appetitive traits in the development of obesity. To determine whether treatment-seeking children and adolescents with obesity cluster into phenotypes based on known eating behaviours and appetitive traits (“eating correlates”) and how socio-demographic and clinical characteristics associate with different phenotypes. A cross-sectional, multi-centre questionnaire was administered between November 2015 and March 2017 examining correlates of eating in children and adolescents attending weight-management programmes in Canada. Latent profile analysis was used to cluster participants based on seven eating correlate scores obtained from questionnaires. Analysis of variance (ANOVA) was used to determine phenotype differences on socio-demographic and clinical characteristics. Multinomial logistic regression models assessed relative risk of specific characteristics associating with a disordered eating phenotype. Participants were 247 children and adolescents (45.3% male, mean BMI z-score = 3.4 ± 1.0 kg/m2) from six paediatric weight management centres in Canada. Seven eating correlates clustered into three distinct phenotypes: (1) loss of control eating, emotional eating, external eating, hyperphagia, impulsivity (“Mixed-Severe”; n = 42, 17%), (2) loss of control eating, emotional eating, external eating, hyperphagia (“Mixed-Moderate”; n = 138, 55.9%), and (3) impulsivity (“Impulsive”; n = 67; 27.1%). Social functioning scores and body esteem were significantly different across groups, with the Mixed-Severe participants having the poorest social functioning and lowest body esteem. Low body esteem indicated a greater risk of being in a multi-correlate group compared to the Impulsive group, while poor social function had a greater risk of clustering in the Mixed-Severe than Impulsive phenotype. Distinct eating phenotypes were found in treatment-seeking children and adolescents with obesity. Empirical evidence is needed, but these data suggest that tailored treatment approaches could be informed by these classifications to improve weight-management outcomes.

To incorporate the perspectives and experiences of family caregivers of children with obesity, the KidFit Health and Wellness Clinic, a paediatric weight management programme, embedded feedback opportunities into various stages of programme development. Caregivers were eligible to participate if their children had completed initial 4-week group-based pilot programming or were currently receiving treatment in 10 or 12 week group-based programming. Data were collected through feedback session discussions, audio-recorded, transcribed verbatim and analysed thematically. In total, 6 caregivers participated in the pilot group feedback session and 32 caregivers participated in the structured group feedback sessions. Caregivers reported that healthy lifestyle strategies first communicated by clinic staff to children during group sessions provided expert validation and reinforcement when discussing similar messages at home. Caregivers reported feeling isolated and blamed for causing their children's obesity and appreciated the supportive forum that group-based programming provided for sharing experiences. Since experiences of blame and isolation can burden caregivers of children with obesity, paediatric weight management programmes might consider including peer support opportunities and discussion forums for ongoing social support in addition to education about lifestyle change.

Background There is increasing recognition of the value of “real-world evidence” in evaluating health care services. Registry-based, observational studies conducted in clinical settings represent a relevant model to achieve this directive. Starting in 2010, we undertook a longitudinal, observational study (the CANadian Pediatric Weight management Registry [CANPWR]), which is embedded in 10 multidisciplinary, pediatric weight management clinics across Canada. The objective of this paper was to share the lessons our team learned from this multi-centre project. Methods Data sources included a retrospective review of minutes from 120 teleconferences with research staff and investigators, notes taken during clinical site visits made by project leaders, information from quality control processes to ensure data accuracy and completeness, and a study-specific survey that was sent to all sites to solicit feedback from research team members (n = 9). Through an iterative process, the writing group identified key themes that surfaced during review of these information sources and final lessons learned were developed. Results Several key lessons emerged from our research, including the (1) value of pilot studies and central research coordination, (2) need for effective and regular communication, (3) importance of consensus on determining outcome measures, (4) challenge of embedding research within clinical practice, and (5) difficulty in recruiting and retaining participants. The sites were, in spite of these challenges, enthusiastic about the benefits of participating in multi-centre collaborative studies. Conclusion Despite some challenges, multi-centre observational studies embedded in pediatric weight management clinics are feasible and can contribute important, practical insights into the effectiveness of health services for managing pediatric obesity in real-world settings. Electronic supplementary material The online version of this article (10.1186/s12887-018-1208-6) contains supplementary material, which is available to authorized users.

Objective To evaluate the association between breastfeeding duration and early childhood cardiometabolic risk. Study design A cross-sectional study of 1539 healthy children, 3-6 years of age, recruited through The Applied Research Group for Kids! practice-based research network between October 2009 and August 2015. Adjusted multivariable linear regression was used to examine the association between breastfeeding duration and cardiometabolic risk z score and individual cardiometabolic risk factors of waist circumference, systolic blood pressure, glucose, high-density lipoprotein cholesterol, and triglycerides. Results The mean breastfeeding duration was 12.5 months (SD = 8.4). Breastfeeding duration was associated with lower cardiometabolic risk z score (beta = −0.03; 95% CI −0.05, −0.01). In analysis of cardiometabolic risk factors, each additional 3 months of breastfeeding was associated with a 0.13 cm (95% CI −0.20, −0.05) lower waist circumference and 0.16 mm Hg (95% CI −0.30, −0.02) lower systolic blood pressure. Compared with children who breastfed for 6-12 months, those who breastfed for 12-24 months had a lower systolic blood pressure of 1.07 mm Hg (95% CI −2.04, −0.10). There was no association between breastfeeding duration and cardiometabolic risk for those who breastfed beyond 24 months. Conclusions Breastfeeding duration is associated with lower cardiometabolic risk, although the magnitude of association is small. Causation cannot be inferred. Breastfeeding beyond 24 months may not have an added benefit for cardiometabolic health.