Hospital service use among children with obesity in Ireland: a micro-costing study

Background Childhood obesity affects around 7–8% of children in Ireland and is associated with increased risks of health complications. Data on healthcare resource use and the related costs for children with obesity are important for research, future service-planning, efforts to reduce the burden on families, and care pathways. However, there is little or no data available to describe these in Ireland. Methods We undertook a retrospective chart review for 322 children attending a national paediatric weight management service to assess their hospital service utilisation, and the associated costs, over a four-year period. We used a micro-costing approach and estimated unit costs for different types of hospital services. Multivariable negative binomial regression analyses and Cragg hurdle models were used to assess characteristics associated with type, frequency and costs of hospital care. Results Eighty-two percent of children had severe obesity, and thirty-eight percent had a co-morbid condition. Over the four-year period, children had a mean of 27 (median 24, IQR 16–33) episodes of care at a mean cost of €2590 per child (median €1659, IQR 1026–3103). The presence of a co-morbid condition was associated with more frequent visits. Neither severity of obesity nor socioeconomic status were associated with overall service utilisation. The Cragg hurdle model did not identify statistically significant differences in hospital costs according to participant characteristics. Conclusion Children with obesity frequently visit a variety of paediatric services and children with co-morbid conditions have greater levels of hospital utilisation. Further research is needed with larger sample sizes to explore variation in healthcare utilisation in this population, and the relationship between common co-morbidities and weight status. This would facilitate assessment of the implications for care pathways and examination of associations between patient outcomes and related healthcare costs and cost-effectiveness.</p

Identification and management of children and adolescents with obesity referred to a general paediatric outpatient department

Aims  To identify all children and adolescents with overweight or obesity attending the outpatient department and audit our processes in their identification and management against NICE standards.  Methods  A retrospective chart review was performed. BMI charts were used to identify children and adolescents with overweight/obesity. The patient journey was audited to ascertain if overweight/obesity was identified by the clinician, whether this was communicated to the child or adolescent/their carer and whether intervention was offered.  Results  There were 669 scheduled appointments and 27.3%(n=127) of children 2 years and adolescents were identified with overweight/obesity. Children and adolescents referred for reasons not primarily related to obesity management were identified (90.6% (n=115)) and this group was analysed. Height and weight and/or BMI were communicated in 13.9% (n=16) of referral letters. A record of discussing growth was observed in 15.7% (n=18) of cases. Growth measurements were included in the post-clinic correspondence to the primary care physician in 56.8% (n=63) of letters.  Discussion Further research is required to ascertain what barriers exist to the discussion of growth. Additional education of healthcare providers is necessary to develop standardised procedures around processes related to child and adolescent growth.</p

#RCSIPulseCheck

The project, #RCSIPulseCheck was a virtual paediatric physical activity and health education project that came about during the COVID19 global pandemic. As the student partner in this project, my preparations and plan-ning began prior to the pandemic and initially the project was supposed to be delivered face-to-face. Building on the concept of student engagement, I proposed the original project to RCSI staff members who provided guidance on how best to deliver an impactful project while empowering my student voice (NStEP, 2021). Due to the extension of Level 5 COVID19 restrictions and ongoing remote schooling, it became apparent that roll out of a face-to-face project in its original format would be a challenge. It became necessary to review the project and shape it into a format that could achieve our aims and be deliverable with our school partners. This deci-sion to pivot into a virtual project required student-staff collaboration to reach our end goal. During this collab-orative effort, it became apparent that the project was suitable for funding from the RCSI Student Engagement and Partnership Programme which provided further impetus for the project. Social media (e.g. Twitter, Instagram) was a facilitator in reaching our target audience, in this case the teachers of school children between the ages of 8-11 years attending 3 Dublin based DEIS schools. The principal issue that this project was trying to address was that of physical activity promotion and health education among the paediatric population of Ireland. 1 in 5 children in Ireland are overweight (Behan et al, 2018) and a 2019 Dublin City University study of over 2,000 children demonstrated that 78% performed very poorly or below average on fundamental movement testing (Healthy Ireland, 2016). Poor fundamental move-ment skills may have negative implications for children wishing to participate in physical activity, further con-tributing to a potentially more unhealthy society. Physical inactivity has deleterious consequences. According to the World Health Organisation, physical inactivity is estimated to be the principle cause for 21-25% of breast and colon cancers, 27% of diabetes and approximately 30% of ischaemic heart disease burden (WHO, 2019). The aims of the project were to promote physical activity among schoolchildren attending 3 Dublin DEIS schools (aged 8-11 years) using evidence-based medicine while adhering to Level 5 COVID19 government restrictions. Using online platforms, e.g. RCSI Engage Twitter account, we posted 5 days of age-appropriate, varied and fun physical activities for schoolchildren to complete in an effort to promote physical activity among this population.</p

Pediatric weight management through mHealth compared to face-to-face care: cost analysis of a randomized control trial

Background: Mobile health (mHealth) may improve pediatric weight management capacity and the geographical reach of services, and overcome barriers to attending physical appointments using ubiquitous devices such as smartphones and tablets. This field remains an emerging research area with some evidence of its effectiveness; however, there is a scarcity of literature describing economic evaluations of mHealth interventions. Objective: We aimed to assess the economic viability of using an mHealth approach as an alternative to standard multidisciplinary care by evaluating the direct costs incurred within treatment arms during a noninferiority randomized controlled trial (RCT). Methods: A digitally delivered (via a smartphone app) maintenance phase of a pediatric weight management program was developed iteratively with patients and families using evidence-based approaches. We undertook a microcosting exercise and budget impact analysis to assess the costs of delivery from the perspective of the publicly funded health care system. Resource use was analyzed alongside the RCT, and we estimated the costs associated with the staff time and resources for service delivery per participant. Results: In total, 109 adolescents participated in the trial, and 84 participants completed the trial (25 withdrew from the trial). We estimated the mean direct cost per adolescent attending usual care at €142 (SD 23.7), whereas the cost per adolescent in the mHealth group was €722 (SD 221.1), with variations depending on the number of weeks of treatment completion. The conversion rate for the reference year 2013 was $1=€0.7525. The costs incurred for those who withdrew from the study ranged from €35 to €681, depending on the point of dropout and study arm. The main driver of the costs in the mHealth arm was the need for health professional monitoring and support for patients on a weekly basis. The budget impact for offering the mHealth intervention to all newly referred patients in a 1-year period was estimated at €59,046 using the assessed approach. Conclusions: This mHealth approach was substantially more expensive than usual care, although modifications to the intervention may offer opportunities to reduce the mHealth costs. The need for monitoring and support from health care professionals (HCPs) was not eliminated using this delivery model. Further research is needed to explore the cost-effectiveness and economic impact on families and from a wider societal perspective.Trial Registration:ClinicalTrials.gov NCT01804855; https://clinicaltrials.gov/ct2/show/NCT01804855</div

Usability and engagement testing of mHealth apps in paediatric obesity: a narrative review of current literature

Mobile health (mHealth) platforms have become increasingly popular for delivering health interventions in recent years and particularly in light of the COVID-19 pandemic. Childhood obesity treatment is an area where mHealth interventions may be useful due to the multidisciplinary nature of interventions and the need for long-term care. Many mHealth apps targeting youth exist but the evidence base underpinning the methods for assessing technical usability, user engagement and user satisfaction of such apps with target end-users or among clinical populations is unclear, including for those aimed at paediatric overweight and obesity management. This review aims to examine the current literature and provide an overview of the scientific methods employed to test usability and engagement with mHealth apps in children and adolescents with obesity. A narrative literature review was undertaken following a systematic search. Four academic databases were searched. Inclusion criteria were studies describing the usability of mHealth interventions for childhood obesity treatment. Following the application of inclusion and exclusion criteria, fifty-nine articles were included for full-text review, and seven studies met the criteria for usability and engagement in a clinical paediatric population with obesity. Six apps were tested for usability and one for engagement in childhood obesity treatment. Sample sizes ranged from 6-1120 participants. The included studies reported several heterogenous measurement instruments, data collection approaches, and outcomes. Recommendations for future research include the standardization and validation of instruments to measure usability and engagement within mHealth studies in this population

Neuromusculoskeletal health in pediatric obesity: incorporating evidence into clinical examination

Purpose of review: The study aims to highlight the clinical importance of assessing and managing neuromusculoskeletal health in pediatric obesity and to support translation of evidence into practice. Recent findings: A growing evidence base suggests that children with obesity experience neuromusculoskeletal impairments and physical complications including increased pain, reduced muscle strength, impaired balance and motor skill, gait deviations, postural malalignment, greater fatigue, and potentially reduced flexibility and sub-optimal bone health. Such evidence supports the need to screen, assess, and optimize neuromusculoskeletal health as part of pediatric obesity management. The likelihood of children with obesity experiencing neuromusculoskeletal impairments is high and can impact the way a child moves, and their interest or capacity to engage in physical activity and exercise. Barriers to movement should be minimized to promote optimal development of the neuromusculoskeletal system and to support engagement in sufficient physical activity for weight management. Healthcare professionals should screen for neuromusculoskeletal impairments as well as personalize interventions and modify standardized exercise interventions to optimize obesity treatment. Further research should explore whether neuromusculoskeletal impairments influence the success of obesity treatment or whether they improve following obesity treatment.</p

Mobile health for pediatric weight management: systematic scoping review

Background: The prevalence and consequences of obesity among children and adolescents remain a leading global public health concern, and evidence-based, multidisciplinary lifestyle interventions are the cornerstone of treatment. Mobile electronic devices are widely used across socioeconomic categories and may provide a means of extending the reach and efficiency of health care interventions. Objective: We aimed to synthesize the evidence regarding mobile health (mHealth) for the treatment of childhood overweight and obesity to map the breadth and nature of the literature in this field and describe the characteristics of published studies. Methods: We conducted a systematic scoping review in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews, by searching nine academic databases in addition to gray literature for studies describing acceptability, usability, feasibility, effectiveness, adherence, or cost-effectiveness of interventions assessing mHealth for childhood obesity treatment. We also hand searched the reference lists of relevant articles. Studies aimed at the prevention of overweight or obesity were excluded, as were studies in which mHealth was not the primary mode of treatment delivery for at least one study arm or was not independently assessed. A random portion of all abstracts and full texts was double screened by a second reviewer to ensure consistency. Data were charted according to study characteristics, including design, participants, intervention content, behavior change theory (BCT) underpinning the study, mode of delivery, and outcomes measured. Results: We identified 42 eligible studies assessing acceptability (n=7), usability (n=2), feasibility or pilot studies (n=15), treatment effect (n=17), and fidelity (n=1). Change in BMI z-scores or percentiles was most commonly measured, among a variety of dietary, physical activity, psychological, and usability or acceptability measures. SMS, mobile apps, and wearable devices made up the majority of mobile interventions, and 69% (29/42) of the studies specified a BCT used. Conclusions: Pediatric weight management using mHealth is an emerging field, with most work to date aimed at developing and piloting such interventions. Few large trials are published, and these are heterogeneous in nature and rarely reported according to the Consolidated Standards of Reporting Trials for eHealth guidelines. There is an evidence gap in the cost-effectiveness analyses of such studies.</div

Mobile health apps in pediatric obesity treatment: process outcomes from a feasibility study of a multicomponent intervention

Background: Multicomponent family interventions underline current best practice in childhood obesity treatment. Mobile health (mHealth) adjuncts that address eating and physical activity behaviors have shown promise in clinical studies. Objective: This study aimed to describe process methods for applying an mHealth intervention to reduce the rate of eating and monitor physical activity among children with obesity. Methods: The study protocol was designed to incorporate 2 mHealth apps as an adjunct to usual care treatment for obesity. Children and adolescents (aged 9-16 years) with obesity (BMI ≥98th centile) were recruited in person from a weight management service at a tertiary health care center in the Republic of Ireland. Eligible participants and their parents received information leaflets, and informed consent and assent were signed. Participants completed 2 weeks of baseline testing, including behavioral and quality of life questionnaires, anthropometry, rate of eating by Mandolean, and physical activity level using a smart watch and the myBigO smartphone app. Thereafter, participants were randomized to the (1) intervention (usual clinical care+Mandolean training to reduce the rate of eating) or (2) control (usual clinical care) groups. Gender and age group (9.0-12.9 years and 13.0-16.9 years) stratifications were applied. At the end of a 4-week treatment period, participants repeated the 2-week testing period. Process evaluation measures included recruitment, study retention, fidelity parameters, acceptability, and user satisfaction.Results: A total of 20 participants were enrolled in the study. A web-based randomization system assigned 8 participants to the intervention group and 12 participants to the control group. Attrition rates were higher among the participants in the intervention group (5/8, 63%) than those in the control group (3/12, 25%). Intervention participants undertook a median of 1.0 training meal using Mandolean (25th centile 0, 75th centile 9.3), which represented 19.2% of planned intervention exposure. Only 50% (9/18) of participants with smart watches logged physical activity data. Significant differences in psychosocial profile were observed at baseline between the groups. The Child Behavior Checklist (CBCL) mean total score was 71.7 (SD 3.1) in the intervention group vs 57.6 (SD 6.6) in the control group, t-test P<.001, and also different among those who completed the planned protocol compared with those who withdrew early (CBCL mean total score 59.0, SD 9.3, vs 67.9, SD 5.6, respectively; t-test P=.04). Conclusions: A high early attrition rate was a key barrier to full study implementation. Perceived task burden in combination with behavioral issues may have contributed to attrition. Low exposure to the experimental intervention was explained by poor acceptability of Mandolean as a home-based tool for treatment. Self-monitoring using myBigO and the smartwatch was acceptable among this cohort. Further technical and usability studies are needed to improve adherence in our patient group in the tertiary setting.</div

Establishing consensus on key public health indicators for the monitoring and evaluating childhood obesity interventions: a Delphi panel study

Background: Childhood obesity is influenced by myriad individual, societal and environmental factors that are not typically reflected in current interventions. Socio-ecological conditions evolve and require ongoing monitoring in terms of assessing their influence on child health. The aim of this study was to identify and prioritise indicators deemed relevant by public health authorities for monitoring and evaluating childhood obesity interventions. Method: A three-round Delphi Panel composed of experts from regions across Europe, with a remit in childhood obesity intervention, were asked to identify indicators that were a priority in their efforts to address childhood obesity in their respective jurisdictions. In Round 1, 16 panellists answered a series of open-ended questions to identify the most relevant indicators concerning the evaluation and subsequent monitoring of interventions addressing childhood obesity, focusing on three main domains: built environments, dietary environments, and health inequalities. In Rounds 2 and 3, panellists rated the importance of each of the identified indicators within these domains, and the responses were then analysed quantitatively. Results: Twenty-seven expert panellists were invited to participate in the study. Of these, 16/27 completed round 1 (5 9% response rate), 14/16 completed round 2 (87.5% response rate), and 8/14 completed the third and final round (57% response rate). Consensus (defined as > 70% agreement) was reached on a total of 45 of the 87 indicators (49%) across three primary domains (built and dietary environments and health inequalities), with 100% consensus reached for 5 of these indicators (6%). Conclusion: Forty-five potential indicators were identified, pertaining primarily to the dietary environment, built environment and health inequalities. These results have important implications more widely for evaluating interventions aimed at childhood obesity reduction and prevention.</p

Addressing child and adolescent obesity management in Ireland: identifying facilitators and barriers in clinical practice

Background: Ireland’s Model of Care for the Management of Overweight and Obesity outlines a plan for treating adolescent and child obesity (CO). However, engagement with key stakeholders is required to support its implementation and improve health services. Aim: This study aims to map the perceived barriers and facilitators related to CO management across healthcare settings, professional disciplines, and regions in the Republic of Ireland (ROI). Materials and methods: An online cross-sectional survey of registered healthcare professionals (HPs), designed to adhere to the Consolidated Framework for Implementation Research (CFIR), was co-developed by a project team consisting of researchers, healthcare professionals, and patient advocates. The survey was pilot tested with project stakeholders and distributed online to professional groups and via a social media campaign, between September 2021 and May 2022, using “SurveyMonkey.” Data were summarised using descriptive statistics and thematic analyses. Themes were mapped to the CFIR framework to identify the type of implementation gaps that exist for treating obesity within the current health and social care system. Results: A total of 184 HPs completed the survey including nurses (18%), physicians (14%), health and social care professionals (60%), and other HPs (8%). The majority were female (91%), among which 54% reported conducting growth monitoring with a third (32.6%) giving a diagnosis of paediatric/adolescent obesity as part of their clinical practice. Nearly half (49%) of the HPs reported having the resources needed for clinical assessment. However, 31.5% of the HPs reported having enough “time,” and almost 10% of the HPs reported having no/ limited access to suitable anthropometric measurement tools. Most HPs did not conduct obesity-related clinical assessments beyond growth assessment, and 61% reported having no paediatric obesity training. CFIR mapping identified several facilitators and barriers including time for clinical encounters, suitable materials and equipment, adequate training, perceived professional competency and self-efficacy, human equality and child-centredness, relative priorities, local attitudes, referral protocols, and long waiting times. Conclusions: The findings provide actionable information to guide the implementation of the Model of Care for the Management of Overweight and Obesity in Ireland. Survey findings will now inform a qualitative study to explore implementation barriers and facilitators and prioritise actions to improve child and adolescent obesity management.</p