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Podiatry

Permanent URI for this collectionhttps://eresearch.qmu.ac.uk/handle/20.500.12289/7

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Start date: 2023Subject: search.filters.subject.Medication Adherence

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Now showing 1 - 3 of 3
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    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.
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    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, Andrea
    Background: 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.
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    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, Andrea
    Juvenile 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.