Location-based Virtual Reality experiences for children: Japan-UK knowledge exchange network final project report

This is the final project report for an AHRC/ESRC funded Uk-Japan network looking at location-based VR experiences for children. Location-based VR are site specific experiences that aim to bring together materials beyond those in the virtual space to carefully curate an experience for an audience who are likely to use the content only once or a few times. As a result, location-based VR experiences are emerging predominately in two areas; gaming arcades and museums/art galleries. The overall intention of this knowledge exchange (KE) project was to bring together a network of academics and digital gaming industry partners in Japan and the UK to join up knowledge, begin researching the current state of VR experiences and technologies, and to understand the best methodologies for including children in the design of VR experiences for them. This was undertaken so that this knowledge can be applied to areas in which VR is evolving for children, such as entertainment, education and health care

Age-related gait standards for healthy children and young people: the GOS-ICH paediatric gait centiles

Objective To develop paediatric gait standards in healthy children and young people. Methods This observational study builds on earlier work to address the lack of population standards for gait measurements in children. Analysing gait in children affected by neurological or musculoskeletal conditions is an important component of paediatric assessment but is often confounded by developmental changes. The standards presented here do not require clinician expertise to interpret and offer an alternative to developmental tables of normalised gait data. Healthy children aged 1-19 years were recruited from community settings in London and Hertfordshire, U.K. The GAITRite ® walkway was used to record measurements for each child for velocity, cadence, step length, base of support, and stance, single and double support (as percentage of gait cycle). We fitted generalized linear additive models for location, scale and shape (gamlss). Results We constructed percentile charts for seven gait variables measured on 624 (321 males) contemporary healthy children using gamlss package in R. A clinical application of gait standards was explored. Conclusion Age-related, gender-specific standards for seven gait variables were developed and are presented here. They have a familiar format and can be used clinically to aid diagnoses, and to monitor change over time for both medical therapy and natural history of the condition. The clinical example demonstrates the potential of the GOS-ICH Paediatric Gait Centiles (GOS-ICH PGC) to enable meaningful interpretation of change in an individual’s performance, and describes characteristic features of gait from a specific population throughout childhood.Peer reviewedFinal Accepted Versio

Performance on the iSTEP and 10 m-ISWT in boys with haemophilia

INTRODUCTION: Boys with haemophilia (BwH) have improved health outcomes. Measures of physical function in haemophilia are not challenging or sensitive enough to reflect physical limitations or guide rehabilitation. To identify meaningful tests, we aimed to: evaluate the performance of BwH on two physical performance measures: iSTEP and 10 m-ISWT; identify factors which predict performance and compare BwH to their unaffected peers. METHODS: BwH completed both iSTEP and 10 m-ISWT. Disease severity, age, BMI, HJHS, lower limb muscle torque, time spent in moderate to vigorous physical activity, sedentary time, were included as factors to predict performance. Results were compared to unaffected peers. RESULTS: 43 boys median age 10 (10 mild/moderate, 26 severe, 7 inhibitors) were recruited. BwH were less likely to complete the iSTEP and performed less well on the 10 m-ISWT than age matched peers. Ceiling effects were apparent for iSTEP, but not the 10 m-ISWT test. Age was the only significant predictor for performance in the iSTEP, with older boys being more likely to achieve a higher level or complete the test. Greater age, lower BMI, milder disease severity and more time spent in MVPA all predicted better performance on the 10 m-ISWT, with BMI and habitual physical activity a potential rehabilitation focus for underperforming individuals. HJHS and muscle strength did not predict performance on either test. CONCLUSION: Despite the space need to conduct the 10 m-ISWT, it appears to be a superior performance measure than the iSTEP in BwH and provides clinically meaningful information, which can be interpreted using age-specific normative reference equations

Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review.

Machine learning (ML) holds great potential for predicting clinical outcomes in heterogeneous chronic respiratory diseases (CRD) affecting children, where timely individualised treatments offer opportunities for health optimisation. This paper identifies rate-limiting steps in ML prediction model development that impair clinical translation and discusses regulatory, clinical and ethical considerations for ML implementation. A scoping review of ML prediction models in paediatric CRDs was undertaken using the PRISMA extension scoping review guidelines. From 1209 results, 25 articles published between 2013 and 2021 were evaluated for features of a good clinical prediction model using the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines.Most of the studies were in asthma (80%), with few in cystic fibrosis (12%), bronchiolitis (4%) and childhood wheeze (4%). There were inconsistencies in model reporting and studies were limited by a lack of validation, and absence of equations or code for replication. Clinician involvement during ML model development is essential and diversity, equity and inclusion should be assessed at each step of the ML pipeline to ensure algorithms do not promote or amplify health disparities among marginalised groups. As ML prediction studies become more frequent, it is important that models are rigorously developed using published guidelines and take account of regulatory frameworks which depend on model complexity, patient safety, accountability and liability

Autism spectrum disorders in boys at a major UK hemophilia center: prevalence and risk factors

Background: Autism spectrum disorders (ASDs) are diagnosed by social communication difficulties strong, narrow interests, and repetitive stereotyped behavior. An apparently-elevated prevalence of ASD at a major UK hemophilia center warranted investigation. Objectives: To screen boys with hemophilia for difficulties in social communication and executive function and identify the prevalence and risk factors for ASD. Methods: Parents of boys with hemophilia aged 5 to 16 years completed the Social Communication Questionnaire, Children’s Communication Checklist, and the Behavior Rating Inventory of executive function. Prevalence and potential risk factors for ASD were evaluated. Boys with an existing diagnosis of ASD did not complete questionnaires, but were included in the prevalence analysis. Results: Negative scores on all 3 questionnaires were observed for 60 of 79 boys. Positive scores on 1, 2, and 3 questionnaires were seen in 12 of 79, 3 of 79, and 4 of 79 boys, respectively. In addition to the 11 of 214 boys with a prior ASD diagnosis, 3 further boys were diagnosed with ASD, yielding a prevalence of 14 (6.5%) of 214, greater than that of boys in the UK general population. Premature birth was linked to having ASD, but did not fully explain the increased prevalence with more boys born <37 weeks scoring positively on the Social Communications Questionnaire and Children’s Communication Checklist compared with those born at term. Conclusion: This study identified an increased prevalence of ASD at 1 UK hemophilia center. Prematurity was identified as a risk factor but did not fully explain the higher prevalence of ASD. Further investigation in the wider national/global hemophilia communities is warranted to determine whether this is an isolated finding

Exploring flexible polynomial regression as a method to align routine clinical outcomes with daily data capture through remote technologies

BACKGROUND: Clinical outcomes are normally captured less frequently than data from remote technologies, leaving a disparity in volumes of data from these different sources. To align these data, flexible polynomial regression was investigated to estimate personalised trends for a continuous outcome over time. METHODS: Using electronic health records, flexible polynomial regression models inclusive of a 1st up to a 4th order were calculated to predict forced expiratory volume in 1 s (FEV1) over time in children with cystic fibrosis. The model with the lowest AIC for each individual was selected as the best fit. The optimal parameters for using flexible polynomials were investigated by comparing the measured FEV1 values to the values given by the individualised polynomial. RESULTS: There were 8,549 FEV1 measurements from 267 individuals. For individuals with > 15 measurements (n = 178), the polynomial predictions worked well; however, with < 15 measurements (n = 89), the polynomial models were conditional on the number of measurements and time between measurements. The method was validated using BMI in the same population of children. CONCLUSION: Flexible polynomials can be used to extrapolate clinical outcome measures at frequent time intervals to align with daily data captured through remote technologies

Location-based Virtual Reality Experiences for Children:Japan-UK knowledge exchange network: Tokyo Workshop

This is the programme, abstracts and speaker bios for the Location-based Virtual Reality Experiences for Children:Japan-UK knowledge exchange network: Tokyo Workshop

Quantity and quality of airway clearance in children and young people with cystic fibrosis

Children and young people with CF (CYPwCF) get advice about using positive expiratory pressure (PEP) or oscillating PEP (OPEP) devices to clear sticky mucus from their lungs. However, little is known about the quantity (number of treatments, breaths, or sets) or quality (breath pressures and lengths) of these daily airway clearance techniques (ACTs) undertaken at home. This study used electronic pressure sensors to record real time breath-by-breath data from 145 CYPwCF (6-16y) during routine ACTs over 2 months. ACT quantity and quality were benchmarked against individual prescriptions and accepted recommendations for device use. In total 742,084 breaths from 9,081 treatments were recorded. Individual CYPwCF maintained consistent patterns of ACT quantity and quality over time. Overall, 60% of CYPwCF did at least half their prescribed treatments, while 27% did fewer than a quarter. About 77% of pre-teens did the right number of daily treatments compared with only 56% of teenagers. CYPwCF usually did the right number of breaths. ACT quality (recommended breath length and pressure) varied between participants and depended on device. Breath pressures, lengths and pressure-length relationships were significantly different between ACT devices. PEP devices encouraged longer breaths with lower pressures, while OPEP devices encouraged shorter breaths with higher pressures. More breaths per treatment were within advised ranges for both pressure and length using PEP (30-31%) than OPEP devices (1-3%). Objective measures of quantity and quality may help to optimise ACT device selection and support CYPwCF to do regular effective ACTs