Browsing by Person "Gironès, Xavier"

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Effectiveness of eHealth and mHealth interventions supporting children and young people living with juvenile idiopathic arthritis: Systematic review and meta-analysis
(2022-02-02) Butler, Sonia; Sculley, Dean; Santos, Derek; Fellas, Antoni; Gironès, Xavier; Singh-Grewal, Davinder; Coda, Andrea
Juvenile idiopathic arthritis (JIA) management aims to promote remission through timely, individualized, well-coordinated interdisciplinary care using a range of pharmacological, physical, psychological, and educational interventions. However, achieving this goal is workforce-intensive. Harnessing the burgeoning eHealth and mobile health (mHealth) interventions could be a resource-efficient way of supplementing JIA management. This systematic review aims to identify the eHealth and mHealth interventions that have been proven to be effective in supporting health outcomes for children and young people (aged 1-18 years) living with JIA. We systematically searched 15 databases (2018-2021). Studies were eligible if they considered children and young people (aged 1-18 years) diagnosed with JIA, an eHealth or mHealth intervention, any comparator, and health outcomes related to the used interventions. Independently, 2 reviewers screened the studies for inclusion and appraised the study quality using the Downs and Black (modified) checklist. Study outcomes were summarized using a narrative, descriptive method and, where possible, combined for a meta-analysis using a random-effects model. Of the 301 studies identified in the search strategy, 15 (5%) fair-to-good-quality studies met the inclusion criteria, which identified 10 interventions for JIA (age 4-18.6 years). Of these 10 interventions, 5 (50%) supported symptom monitoring by capturing real-time data using health applications, electronic diaries, or web-based portals to monitor pain or health-related quality of life (HRQoL). Within individual studies, a preference was demonstrated for real-time pain monitoring over recall pain assessments because of a peak-end effect, improved time efficiency (P=.002), and meeting children's and young people's HRQoL needs (P<.001) during pediatric rheumatology consultations. Furthermore, 20% (2/10) of interventions supported physical activity promotion using a web-based program or a wearable activity tracker. The web-based program exhibited a moderate effect, which increased endurance time, physical activity levels, and moderate to vigorous physical activity (standardized mean difference [SMD] 0.60, SD 0.02-1.18; I =79%; P=.04). The final 30% (3/10) of interventions supported self-management development through web-based programs, or apps, facilitating a small effect, reducing pain intensity (SMD -0.14, 95% CI -0.43 to 0.15; I =53%; P=.33), and increasing disease knowledge and self-efficacy (SMD 0.30, 95% CI 0.03-0.56; I =74%; P=.03). These results were not statistically significant. No effect was seen regarding pain interference, HRQoL, anxiety, depression, pain coping, disease activity, functional ability, or treatment adherence. Evidence that supports the inclusion of eHealth and mHealth interventions in JIA management is increasing. However, this evidence needs to be considered cautiously because of the small sample size, wide CIs, and moderate to high statistical heterogeneity. More rigorous research is needed on the longitudinal effects of real-time monitoring, web-based pediatric rheumatologist-children and young people interactions, the comparison among different self-management programs, and the use of wearable technologies as an objective measurement for monitoring physical activity before any recommendations that inform current practice can be given.
Emerging tools to capture self-reported acute and chronic pain outcome in children and adolescents: A literature review
(MDPI, 2022-01-25) Turnbull, Alexandra; Sculley, Dean; Santos, Derek; Maarj, Mohammed; Chapple, Lachlan; Gironès, Xavier; Fellas, Antoni; Coda, Andrea; Torres, Antoni; Ni, Yicheng
The advancement of digital health provides strategic and cost-effective opportunities for the progression of health care in children and adolescents. It is important for clinicians to be aware of the potential of emerging pain outcome measures and employ evidence-based tools capable of reliably tracking acute and chronic pain over time. The main emerging pain outcome measures for children and adolescents were examined. Overall, seven main texts and their corresponding digital health technologies were included in this study. The main findings indicated that the use of emerging digital health is able to reduce recall bias and can improve the real time paediatric data capture of acute and chronic symptoms. This literature review highlights new developments in pain management in children and adolescents and emphasizes the need for further research to be conducted on the use of emerging technologies in pain management. This may include larger scale, multicentre studies to further assess validity and reliability of these tools across various demographics. The privacy and security of mHealth data must also be carefully evaluated when choosing health applications that can be introduced into daily clinical settings.
Paediatric Preparedness: Document Analysis of the Challenges Experienced Using Smartwatch Technologies to Support Children Living with a Chronic Health Condition
(MDPI, 2025-01-21) Butler, Sonia; Sculley, Dean; Santos, Derek; Gironès, Xavier; Singh-Grewal, Davinder; Coda, Andrea
Smartwatch technology is increasingly being used to support the management of chronic health conditions. Yet, many new digital health innovations fail because the correct foundations are not well established. This exploratory study aims to uncover the challenges experienced during the setup phase of a smartwatch intervention, to support the prototype development of a digital health intervention for children. Five children with a chronic health condition were asked to wear a smartwatch for 14 days that collects health data (pain levels, medication adherence, and physical activity performance). To explore the experiences of these children, their parents and the research team, all written records were analysed using READ’s four steps of document analysis and reported using the Standards for Reporting Qualitative Research checklist. The following three themes emerged: 1.) Infrastructure limitations: inexpensive smartphones prevented connection, and outpatient clinics’ internet black spots constrained setup and training; 2.) Personal phone restrictions: limited setup, training, and engagement; 3.) Elimination of the parent’s phone: provided children with digital support (a smartphone, pre-installed apps, cellular data) to allow active participation. Overall, we identified barriers hindering the use of smartwatch technology in clinical practice. More resources are needed to ensure paediatric preparedness for digital health support.
Using Digital Health Technologies to Monitor Pain, Medication Adherence and Physical Activity in Young People with Juvenile Idiopathic Arthritis: A Feasibility Study
(MDPI, 2024-02-02) Butler, Sonia; Sculley, Dean; Santos, Derek; Gironès, Xavier; Singh-Grewal, Davinder; Coda, Andrea
Juvenile idiopathic arthritis can be influenced by pain, medication adherence, and physical activity. A new digital health intervention, InteractiveClinics, aims to monitor these modifiable risk factors. Twelve children, aged 10 to 18 years, received daily notifications on a smartwatch to record their pain levels and take their medications, using a customised mobile app synchronised to a secure web-based platform. Daily physical activity levels were automatically recorded by wearing a smartwatch. Using a quantitative descriptive research design, feasibility and user adoption were evaluated. The web-based data revealed the following: Pain: mean app usage: 68% (SD 30, range: 28.6% to 100%); pain score: 2.9 out of 10 (SD 1.8, range: 0.3 to 6.2 out of 10). Medication adherence: mean app usage: 20.7% (SD, range: 0% to 71.4%), recording 39% (71/182) of the expected daily and 37.5% (3/8) of the weekly medications. Pro-re-nata (PRN) medication monitoring: 33.3% (4/12), one to six additional medications (mean 3.5, SD 2.4) for 2–6 days. Physical activity: watch wearing behaviour: 69.7% (439/630), recording low levels of moderate-to-vigorous physical activity (mean: 11.8, SD: 13.5 min, range: 0–47 min). To conclude, remote monitoring of real-time data is feasible. However, further research is needed to increase adoption rates among children.