Podiatry
Permanent URI for this collectionhttps://eresearch.qmu.ac.uk/handle/20.500.12289/7
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Item 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, AndreaSmartwatch 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.Item Paediatric Rheumatology Fails to Meet Current Benchmarks, a Call for Health Equity for Children Living with Juvenile Idiopathic Arthritis, Using Digital Health Technologies(Springer, 2024-03-11) Butler, Sonia; Sculley, Dean; Santos, Derek; Girones, Xavier; Singh-Grewal, Davinder; Coda, AndreaPurpose of Review This critical review begins by presenting the history of Juvenile Idiopathic Arthritis (JIA) management. To move the conversation forward in addressing the current shortcomings that exist in the clinical management of children living with JIA, we argue that to date, the advancement of successful treatments for JIA has been historically slow. Factors implicated in this situation include a lack of rigorous research, JIA being considered a rare disease, and JIA’s idiopathic and complex pathophysiology. Recent Findings Despite the well-intended legislative changes to increase paediatric research, and the major advancements seen in molecular medicine over the last 30 years, globally, paediatric rheumatology services are still failing to meet the current benchmarks of best practice. Provoking questions on how the longstanding health care disparities of poor access and delayed treatment for children living with JIA can be improved, to improve healthcare outcomes. Summary Globally, paediatric rheumatology services are failing to meet the current benchmarks of best practice. Raising awareness of the barriers hindering JIA management is the first step in reducing the current health inequalities experienced by children living with JIA. Action must be taken now, to train and well-equip the paediatric rheumatology interdisciplinary workforce. We propose, a resource-efficient way to improve the quality of care provided could be achieved by embedding digital health into clinical practice, to create an integrative care model between the children, general practice and the paediatric rheumatology team. To improve fragmented service delivery and the coordination of interdisciplinary care, across the healthcare system.Item 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, AndreaJuvenile 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.Item The role of SmartWatch Technology in the provision of care for type 1 or type 2 Diabetes Mellitus or Gestational Diabetes: a systematic review.(JMIR, 2023-12-03) Alvarez, Sergio; Fellas, Antoni; Wynne, Kate; Santos, Derek; Sculley, Dean; Acharya, Shamasunder; Navathe, Pooshan; Girones, Xavier; Coda, AndreaBackground: The use of Smart technology in the management of all forms of diabetes mellitus has grown significantly in the past ten years. Technologies such as the SmartWatch have been proposed as a method of assisting in the monitoring of blood glucose levels as well as other alert prompts such as medication adherence and daily physical activity targets. These important outcomes reach across all forms of diabetes and have the potential to increase compliance of self-monitoring with the aim of improving long term outcomes such as HbA1c. Objective: This systematic review aims to explore the literature for evidence of SmartWatch technology in type 1,2 and gestational diabetes. Methods: A systematic review was undertaken by searching Ovid MEDLINE and CINAHL databases. A second search using all identified keywords and index terms was performed on Ovid MEDLINE (January 1966 to August 2023), EMBASE (January 1980 to August 2023), Cochrane Central Register of Controlled Trials (CENTRAL) (the Cochrane Library, latest issue), CINAHL (from 1982), IEEE Xplore, and ACM Digital Libraries, and Web of Science databases. Results: Five studies were included for qualitative synthesis in this review, however, none of these studies were randomised clinical trials and published research is currently focusing on usability and feasibility. Conclusions: This systematic review has highlighted the lack of robust randomised clinical trials that explore the efficacy of SmartWatch technology in the management of patients with type 1, 2 and gestational diabetes.Item Using digital health technologies to monitor pain, medication 2 adherence and physical activity in young people with Juvenile 3 Idiopathic Arthritis: feasibility study(MDPI, 2023) Butler, Sonia; Sculley, Dean; Santos, Derek; Girones, Xavier; Singh-Grewal, Davinder; Coda, AndreaJuvenile Idiopathic Arthritis can be influenced by pain, medication adherence and physi- 20 cal activity. A new digital health intervention InteractiveClinics, aims to monitor these modifiable 21 risk factors. Twelve children, aged 10 to 18 years, received daily notifications on a smart watch to 22 record their pain level and take their medications, using a customized mobile app, synchronized to 23 a secure web-based platform. Daily physical activity levels were automatically recorded by wearing 24 a smart watch. Using a quantitative descriptive research design, feasibility and user adoption was 25 evaluated. Web-based data revealed: pain mean app usage, 68% (SD 30, range 28.6% to 100%), pain 26 score 2.9 out of ten (SD 1.8, range 0.3 to 6.2 out of 10). Medication adherence; mean app usage 20.7% 27 (SD, range 0% to 71.4%), recording 39% (71/182) of the expected daily, and 37.5% (3/8) of the weekly 28 medications. Pro-re-nata (PRN) medication monitoring: 33.3% (4/12), 1 to 6 additional medications 29 (mean 3.5, SD 2.4) for 2-6 days. Physical activity: watch wearing behaviour 69% (435/630), recording 30 low levels of moderate to vigorous physical activity (mean 11.8, SD 13.5 minutes, range 0 – 47 31 minutes). Concluding, remote monitoring of real-time data is feasible. However, further research is 32 needed to increase adoption rates by children.Item 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, YichengThe 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.