Publications by authors named "Chris O'Malley"

Objective: Chronic low back pain places a significant burden on healthcare services and sufferers. Clinical guidelines state that it is a condition that requires self-management. This realist synthesis explores how a mobile app could help people to self-manage chronic low back pain.

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Objective: To conduct a systematic review exploring women's experiences, views and understanding of any vaginal examinations during intrapartum care, in any care setting and by any healthcare professional. Intrapartum vaginal examination is deemed both an essential assessment tool and routine intervention during labour. It is an intervention that can cause significant distress, embarrassment, and pain for women, as well as reinforce outdated gender roles.

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Individuals living in rural areas are more likely to experience cardiovascular diseases (CVD) and have increased barriers to regular physical activity in comparison to those in urban areas. This systematic review aimed to understand the types and effects of home-based connected health technologies, used by individuals living in rural areas with CVD. The inclusion criteria included technology deployed at the participant's home and could be an mHealth (smart device, fitness tracker or app) or telehealth intervention.

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Background: Dementia education is required to address gaps in dementia-specific knowledge among health and social care practitioners amidst increasing dementia prevalence. Harnessing technology for dementia education may remove obstacles to traditional education and empower large communities of learners. This systematic review aimed to establish the technological and pedagogical characteristics associated with effective technology-enabled dementia education for health and social care practitioners.

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Background: Dementia prevalence is increasing globally and yet evidence suggest that gaps exist in dementia-specific knowledge among health and social care practitioners. Technological modes of educational delivery may be as effective as traditional education and can provide practitioners with increased accessibility to dementia training. Benefits of digitally based dementia education have been established including pedagogical strategies that influence dementia knowledge and care attitudes.

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In this paper, we propose a realistic model for gas distribution of an advanced municipal wastewater treatment works and through minimisation of the total cost of gas distribution we perform retrospective optimisation (RO) using historical plant data. This site is the first in the UK with a mixed operational strategy for biomethane produced on site: to burn in combined heat and power (CHP) engines to create electricity, burn in steam boilers for onsite steam use or inject the biomethane into the National Grid. In addition, natural gas can be imported to make up shortfalls in biomethane if required.

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Background: The global prevalence of people living with dementia is expected to increase exponentially and yet evidence suggests gaps in dementia-specific knowledge amongst practitioners. Evidence-based learning approaches can support educators and learners who are transitioning into new educational paradigms resulting from technological advances. Technology-enabled learning is increasingly being used in health care education and may be a feasible approach to dementia education.

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Background: Diabetes is increasing in prevalence and complexity in the care home setting, affecting up to a quarter of care home residents. Health outcomes for these residents are impacted by management of the disease, health care professionals (HCPs)' decision-making skills within the care home setting, and access to specialist services. The use of technology has the potential to recognize opportunities for early intervention that enables efficient responsive care, taking a fundamental role in linking the care home community to wider multidisciplinary teams for support.

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Background: Digital image analysis has the potential to address issues surrounding traditional histological techniques including a lack of objectivity and high variability, through the application of quantitative analysis. A key initial step in image analysis is the identification of regions of interest. A widely applied methodology is that of segmentation.

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