Publications by authors named "David Cutting"

Aim: Research has shown that families' participation in a cardiovascular disease (CVD) prevention programme could boost early adoption of healthy lifestyle behaviours in families. Behaviour-based, eHealth interventions are a potential means of achieving this. This study aimed to explore expectations of families-parents and children-at risk of CVD towards the design and functionality of an eHealth family-based CVD-risk reduction programme 'Health-e-Hearts'.

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Context: More than 78 countries have developed COVID contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, a large number of reviews have been entered by end-users in app stores.

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Objectives: Our goal was to gain insights into the user reviews of the three COVID-19 contact-tracing mobile apps, developed for the different regions of the UK: 'NHS COVID-19' for England and Wales, 'StopCOVID NI' for Northern Ireland and 'Protect Scotland' for Scotland. Our two research questions are (1) what are the users' experience and satisfaction levels with the three apps? and (2) what are the main issues (problems) that users have reported about the apps?

Methods: We assess the popularity of the apps and end users' perceptions based on user reviews in app stores. We conduct three types of analysis (data mining, sentiment analysis and topic modelling) to derive insights from the combined set of 25 583 user reviews of the aforementioned three apps (submitted by users until the end of 2020).

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Objectives: The aim of the study was to investigate the spatial and temporal relationships between the prevalence of COVID-19 symptoms in the community-level and area-level social deprivation.

Design: Spatial mapping, generalised linear models, using time as a factor and spatial-lag models were used to explore the relationship between self-reported COVID-19 symptom prevalence as recorded through two smartphone symptom tracker apps and a range of socioeconomic factors using a repeated cross-sectional study design.

Setting: In the community in Northern Ireland, UK.

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Article Synopsis
  • - The paper details the development and user-centric evaluation of the 'Brain-Fit' app, aimed at supporting individuals in the early recovery phase following transient ischaemic attack (TIA) or minor stroke.
  • - A combination of a scoping review and focus groups identified key factors affecting the use of digital interventions for cardiovascular patients, leading to the creation of guiding principles and a behavioural model to improve participant engagement.
  • - Feedback from additional focus groups and interviews resulted in modifications to the app, highlighting the importance of setting realistic goals and addressing concerns about fatigue, paving the way for further research on its effectiveness and cost-efficiency.
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During a marine oil spill, the oil can interact with and potentially wet a variety of surfaces such as corals, skin/shells of marine animals, and bird feathers. We present both qualitative and quantitative data for the interaction of a dodecane droplet submerged in water with surfaces varying in both surface energy and roughness. Flat, unstructured silicon surfaces with water in air contact angles of 0°, 43°, 66°, 87°, 96°, and 108° were tested first to obtain base readings, after which photolithography was used to introduce structured surfaces representative of marine biological systems.

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Aim: To report the outcomes and follow-up at 2 years of children with monosymptomatic nocturnal enuresis (MNE) managed in a private paediatric community practice utilising body-worn alarms and supportive programmes.

Methods: 522 consecutive children presenting with MNE were assessed and managed with a comprehensive supportive programme and body-worn alarm. Data were recorded prospectively and outcomes assessed at 6 and 24 months.

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