Outputs (206)

Diabetes research: at Edinburgh Napier University's School of Computing (2020)
Digital Artefact
Ryan, B., & Webster, G. (2020). Diabetes research: at Edinburgh Napier University's School of Computing. [Blog]

This 'Diabetes Research' blog is initially about the seed-project 'Information Avoidance and diabetes'. This project is an initial investigation of how and why people with diabetes might not seek or engage with information about their diabetes. More... Read More about Diabetes research: at Edinburgh Napier University's School of Computing.

Trust-by-Design: Evaluating Issues and Perceptions within Clinical Passporting (2020)
Journal Article
Abramson, W., van Deursen, N. E., & Buchanan, W. J. (2020). Trust-by-Design: Evaluating Issues and Perceptions within Clinical Passporting. Blockchain in Healthcare Today, 3, https://doi.org/10.30953/bhty.v3.140

A substantial administrative burden is placed on healthcare professionals as they manage and progress through their careers. Identity verification, pre-employment screening and appraisals: the bureaucracy associated with each of these processes takes... Read More about Trust-by-Design: Evaluating Issues and Perceptions within Clinical Passporting.

We Can Quit2 (WCQ2): a community-based intervention on smoking cessation for women living in disadvantaged areas of Ireland—study protocol for a pilot cluster randomised controlled trial (2019)
Journal Article
Hayes, C., Ciblis, A., Darker, C., Dougall, N., Vance, J., O’Connell, N., Dobbie, F., Loudon, K., Burke, E., Devane, D., & Bauld, L. (2019). We Can Quit2 (WCQ2): a community-based intervention on smoking cessation for women living in disadvantaged areas of Ireland—study protocol for a pilot cluster randomised controlled trial. Pilot and Feasibility Studies, 5, Article 138 (2019). https://doi.org/10.1186/s40814-019-0511-9

Background Tobacco use is the leading cause of preventable death in Ireland with almost 6000 smokers dying each year from smoking-related diseases. The ‘We Can Quit2’ (WCQ2) study is a pilot pragmatic two-arm, parallel-group, cluster randomised tria... Read More about We Can Quit2 (WCQ2): a community-based intervention on smoking cessation for women living in disadvantaged areas of Ireland—study protocol for a pilot cluster randomised controlled trial.

The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Centre and patient experiences (2021)
Journal Article
Gawałko, M., Duncker, D., Manninger, M., Van der Velden, R. M., Hermans, A. N., Verhaert, D. V., Pison, L., Pisters, R., Hemels, M., Sultan, A., Steven, D., Gupta, D., Heidbuchel, H., Sohaib, A., Wijtvliet, P., Tieleman, R., Gruwez, H., Chun, J., Schmidt, B., Keaney, J. J., …Linz, D. (2021). The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Centre and patient experiences. EP-Europace, 23(7), 1003-1015. https://doi.org/10.1093/europace/euab050

Aims: TeleCheck-AF is a multicentre international project initiated to maintain care delivery for patients with atrial fibrillation (AF) during COVID-19 through teleconsultations supported by an on-demand photoplethysmography-based heart rate and rhy... Read More about The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Centre and patient experiences.

Examining the effectiveness of telemonitoring with routinely acquired blood pressure data in primary care: challenges in the statistical analysis (2021)
Journal Article
Parker, R. A., Padfield, P., Hanley, J., Pinnock, H., Kennedy, J., Stoddart, A., Hammersley, V., Sheikh, A., & McKinstry, B. (2021). Examining the effectiveness of telemonitoring with routinely acquired blood pressure data in primary care: challenges in the statistical analysis. BMC Medical Research Methodology, 21(1), Article 31 (2021). https://doi.org/10.1186/s12874-021-01219-8

Background Scale-up BP was a quasi-experimental implementation study, following a successful randomised controlled trial of the roll-out of telemonitoring in primary care across Lothian, Scotland. Our primary objective was to assess the effect of te... Read More about Examining the effectiveness of telemonitoring with routinely acquired blood pressure data in primary care: challenges in the statistical analysis.

An Internet-based Health Intervention for Cardiovascular Disease Management that is Integrated with Primary Care Electronic Health Records: A Mixed-Methods Evaluation of Implementation Fidelity and User Experience (2021)
Journal Article
Neubeck, L., Coorey, G., Peiris, D., Scaria, A., Mulley, J., Hafiz, N., & Redfern, J. (2021). An Internet-based Health Intervention for Cardiovascular Disease Management that is Integrated with Primary Care Electronic Health Records: A Mixed-Methods Evaluation of Implementation Fidelity and User Experience. Journal of Medical Internet Research, 23(4), https://doi.org/10.2196/25333

Background: Growing evidence supports the benefits of eHealth interventions to increase patient engagement and improve outcomes for a range of conditions. However, ineffective program delivery and usage attrition limit exposure to these interventions... Read More about An Internet-based Health Intervention for Cardiovascular Disease Management that is Integrated with Primary Care Electronic Health Records: A Mixed-Methods Evaluation of Implementation Fidelity and User Experience.

The varied role, scope of practice, and education of cardiovascular nurses in ESC-affiliated countries: an ACNAP survey (2021)
Journal Article
Fitzsimons, D., Carson, M. A., Hansen, T. B., Neubeck, L., Tanash, M. I., & Hill, L. (2021). The varied role, scope of practice, and education of cardiovascular nurses in ESC-affiliated countries: an ACNAP survey. European Journal of Cardiovascular Nursing, 20(6), 572-579. https://doi.org/10.1093/eurjcn/zvab027

Aims Cardiovascular disease burden is increasing globally, pressuring nursing staff to deliver high-quality care across a diverse range of treatment areas. As such, an evaluation of the educational preparation of nurses is needed. To determine the c... Read More about The varied role, scope of practice, and education of cardiovascular nurses in ESC-affiliated countries: an ACNAP survey.

Online information for Spontaneous Coronary Artery Dissection (SCAD) survivors and their families: a systematic appraisal of content and quality of websites (2024)
Journal Article
Weddell, J., Jawad, D., Buckley, T., Redfern, J., Mansur, Z., Elliott, N., Hanson, C., & Gallagher, R. (2024). Online information for Spontaneous Coronary Artery Dissection (SCAD) survivors and their families: a systematic appraisal of content and quality of websites. International Journal of Medical Informatics, 184, Article 105372

Background Spontaneous coronary artery dissection (SCAD) survivors often seek information online. However, the quality and content of websites for SCAD survivors is uncertain. This review aimed to systematically identify and appraise websites for SC... Read More about Online information for Spontaneous Coronary Artery Dissection (SCAD) survivors and their families: a systematic appraisal of content and quality of websites.

An Intervention to Prevent and Reduce Maternal Distress in the Netherlands - Its Development from Start to Finish (2016)
Journal Article
Kuipers, Y. F. (2016). An Intervention to Prevent and Reduce Maternal Distress in the Netherlands - Its Development from Start to Finish. Women's Health International, 2(1), https://doi.org/10.19104/whi.2016.115

Prevalence rates and the health problems related to maternal distress instigated the development of an intervention to prevent and reduce maternal distress during pregnancy. Intervention Mapping served as a framework for the intervention development.... Read More about An Intervention to Prevent and Reduce Maternal Distress in the Netherlands - Its Development from Start to Finish.

The ESC Textbook of Cardiovascular Nursing (2021)
Book
Jennings, C., Astin, F., Fitzsimons, D., Lambrinou, E., Neubeck, L., & Thompson, D. R. (Eds.). (2021). The ESC Textbook of Cardiovascular Nursing. Oxford: Oxford University Press

Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital (2022)
Journal Article
Neubeck, L., McHale, S., Ross, M., MacGillvray, S., Galbraith, M., & Hanson, C. (2022). Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital. European Journal of Cardiovascular Nursing, 21(7), 665-676. https://doi.org/10.1093/eurjcn/zvac009

Introduction Spontaneous coronary artery dissection (SCAD) is increasingly recognised as an important cause of myocardial infarction, particularly among women. SCAD survivors may not know what physical activity is safe and effective and there may be... Read More about Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital.

Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis (2022)
Journal Article
Evans, K., Rennick-Egglestone, S., Cox, S., Kuipers, Y., & Spiby, H. (2022). Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis. Journal of Medical Internet Research, 24(2), Article e28093. https://doi.org/10.2196/28093

Background: Symptoms of anxiety are common in pregnancy, with severe symptoms associated with negative outcomes for women and babies. Low-level psychological therapy is recommended for women with mild to moderate anxiety, with the aim of preventing a... Read More about Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis.

Using Intervention Mapping for Systematic Development of a Midwife-Delivered Intervention for Prevention and Reduction of Maternal Distress during Pregnancy (2015)
Journal Article
Kuipers, Y., van Limbeek, E., Ausems, M., de Vries, R., & Nieuwenhuijze, M. (2015). Using Intervention Mapping for Systematic Development of a Midwife-Delivered Intervention for Prevention and Reduction of Maternal Distress during Pregnancy. International Journal of Women's Health and Wellness, 1(1), https://doi.org/10.23937/2474-1353/1510008

The authors describe how Intervention Mapping was used to develop a midwife-led intervention to prevent or reduce maternal distress during pregnancy. An extensive needs assessment showed that both pregnant women and midwives needed to be taught to re... Read More about Using Intervention Mapping for Systematic Development of a Midwife-Delivered Intervention for Prevention and Reduction of Maternal Distress during Pregnancy.

Challenges of Self-Presentation and Athlete Branding Among Saudi Female Exercisers: An Auto-ethnography of a Muslim Saudi Personal Trainer Instagram User (2021)
Journal Article
Basabain, W., Macleod, K., Westbury, T., & Qutub, A. (2021). Challenges of Self-Presentation and Athlete Branding Among Saudi Female Exercisers: An Auto-ethnography of a Muslim Saudi Personal Trainer Instagram User. Asian Social Science, 17(3), 9-30. https://doi.org/10.5539/ass.v17n3p9

Some athletes have attracted millions of audiences, even if being namely recognised. Cristiano Ronaldo, Neymar JR., and David Beckham have the most Instagram followers on a global scale. Online Social Networks (OSN) allows users to establish their pr... Read More about Challenges of Self-Presentation and Athlete Branding Among Saudi Female Exercisers: An Auto-ethnography of a Muslim Saudi Personal Trainer Instagram User.

Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems. IEEE Transactions on Industrial Electronics, 70(4), 4068-4076. https://doi.org/10.1109/tie.2022.3174275

This paper studies the robust bipartite consensus problems for heterogeneous nonlinear nonaffine discrete-time multi-agent systems (MASs) with fixed and switching topologies against data dropout and unknown disturbances. At first, the controlled syst... Read More about Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems.

Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks. IEEE Transactions on Industrial Informatics, 19(4), 5377-5386. https://doi.org/10.1109/tii.2022.3157595

This paper studies fully distributed data-driven problems for nonlinear discrete-time multi-agent systems (MASs) with fixed and switching topologies preventing injection attacks. We first develop an enhanced compact form dynamic linearization model b... Read More about Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks.

Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems (2022)
Journal Article
Zhao, H., Yu, H., & Peng, L. (2024). Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 35(1), 417-427. https://doi.org/10.1109/tnnls.2022.3174885

In this study, we investigate the event-triggering time-varying trajectory bipartite formation tracking problem for a class of unknown nonaffine nonlinear discrete-time multiagent systems (MASs). We first obtain an equivalent linear data model with a... Read More about Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems.

A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland (2022)
Journal Article
Darker, C. D., Burke, E., Castello, S., O'Sullivan, K., O'Connell, N., Vance, J., Reynolds, C., Buggy, A., Dougall, N., Loudon, K., Williams, P., Dobbie, F., Bauld, L., & Hayes, C. B. (2022). A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland. BMC Public Health, 22(1), Article 1528. https://doi.org/10.1186/s12889-022-13957-5

Background: Smoking poses a serious risk of early preventable death and disease especially for women living with socio-economic disadvantage (SED). A smoking cessation programme, ‘We Can Quit’, was developed in Ireland tailored to SED women. This inc... Read More about A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland.

A novel human-computer interface creating a framework for the cognitive ergonomics of ECG interpretation (2016)
Presentation / Conference Contribution
Cairns, A., Bond, R. R., Finlay, D., Breen, C., Guldenring, D., Gaffney, R., Henn, P., Gallagher, A., & Peace, A. (2016, October). A novel human-computer interface creating a framework for the cognitive ergonomics of ECG interpretation. Poster presented at Irish Human Computer Interaction Conference, Cork

Predominantly the 12-lead Electrocardiogram (ECG) interpretation process remains a paper based approach. However, the ECG in this format creates a significant cognitive workload for an interpreter due its complexity and the plethora of knowledge that... Read More about A novel human-computer interface creating a framework for the cognitive ergonomics of ECG interpretation.

Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique (2022)
Journal Article
Moezzi, S. A. R., Ghaedi, A., Rahmanian, M., Mousavi, S. Z., & Sami, A. (2023). Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique. Journal of Digital Imaging, 36(1), 80-90. https://doi.org/10.1007/s10278-022-00692-x

Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniqu... Read More about Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique.