Outputs (10)

A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial (2020)
Journal Article
Redfern, J., Coorey, G., Mulley, J., Scaria, A., Neubeck, L., Hafiz, N., Pitt, C., Weir, K., Forbes, J., Parker, S., Bampi, F., Coenen, A., Enright, G., Wong, A., Nguyen, T., Harris, M., Zwar, N., Chow, C., Rodgers, A., Heeley, E., …Peiris, D. (2020). A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial. npj Digital Medicine, 3, Article 117 (2020). https://doi.org/10.1038/s41746-020-00325-z

Digital health applications (apps) have the potential to improve health behaviors and outcomes. We aimed to examine the effectiveness of a consumer web-based app linked to primary care electronic health records (EHRs). CONNECT was a multicenter rando... Read More about A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial.

Atrial Fibrillation Screen, Management And Guideline Recommended Therapy (AF SMART II) in the rural primary care setting: a cross-sectional study and cost-effectiveness analysis of eHealth tools to support all stages of screening (2020)
Journal Article
Orchard, J., Li, J., Freedman, B., Webster, R., Salkeld, G., Hespe, C., Gallagher, R., Patel, A., Kamel, B., Neubeck, L., & Lowres, N. (2020). Atrial Fibrillation Screen, Management And Guideline Recommended Therapy (AF SMART II) in the rural primary care setting: a cross-sectional study and cost-effectiveness analysis of eHealth tools to support all stages of screening. Journal of the American Heart Association JAHA, 9(18), Article e017080. https://doi.org/10.1161/JAHA.120.017080

Background
Internationally, most atrial fibrillation (AF) management guidelines recommend opportunistic screening for AF in people aged ≥65 years, and oral anticoagulant (OAC) treatment for those at high stroke risk (CHA₂DS₂-VA ≥2). However, gaps re... Read More about Atrial Fibrillation Screen, Management And Guideline Recommended Therapy (AF SMART II) in the rural primary care setting: a cross-sectional study and cost-effectiveness analysis of eHealth tools to support all stages of screening.

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.

Telemonitoring at scale for hypertension in primary care: An implementation study (2020)
Journal Article
Hammersley, V., Parker, R., Paterson, M., Hanley, J., Pinnock, H., Padfield, P., Stoddart, A., Park, H. G., Sheikh, A., & McKinstry, B. (2020). Telemonitoring at scale for hypertension in primary care: An implementation study. PLOS Medicine, 17(6), e1003124. https://doi.org/10.1371/journal.pmed.1003124

Background
While evidence from randomised controlled trials shows that telemonitoring for hypertension is associated with improved blood pressure (BP) control, healthcare systems have been slow to implement it, partly because of inadequate integrati... Read More about Telemonitoring at scale for hypertension in primary care: An implementation study.

Cognitive Impairment and Psychological State in Acute Coronary Syndrome Patients: A prospective descriptive study at Cardiac Rehabilitation Entry, Completion and Follow-up (2020)
Journal Article
Gallagher, R., Woolaston, A., Tofler, G., Bauman, A., Zhao, E., Jeon, Y., Neubeck, L., Mitchell, J., & Naismith, S. (2021). Cognitive Impairment and Psychological State in Acute Coronary Syndrome Patients: A prospective descriptive study at Cardiac Rehabilitation Entry, Completion and Follow-up. European Journal of Cardiovascular Nursing, 20(1), 56-63. https://doi.org/10.1177/1474515120933105

Background: Cognitive impairments (CI) may limit uptake of secondary prevention in acute coronary syndrome (ACS) patients but is poorly understood, including in cardiac rehabilitation (CR) participants.

Aim: To explore CI in relation to psycholo... Read More about Cognitive Impairment and Psychological State in Acute Coronary Syndrome Patients: A prospective descriptive study at Cardiac Rehabilitation Entry, Completion and Follow-up.

Process Evaluation for Technology Enabled Atrial Fibrillation Screening after a Stroke in Scotland (2020)
Report
Lennon, M., McCann, L., Horan, S., Kyfonidis, B., Munford, R., Bruce, A., Neubeck, L., Barber, M., & Brennan, K. (2020). Process Evaluation for Technology Enabled Atrial Fibrillation Screening after a Stroke in Scotland. Scottish Government

Diagnosis of Atrial Fibrillation (AF) after stroke is a national priority. AF-related strokes typically cost twice as much to manage as non-AF related strokes (Miller et al, 2005). If diagnosed with AF, further stroke can be reduced by 60% by taking... Read More about Process Evaluation for Technology Enabled Atrial Fibrillation Screening after a Stroke in Scotland.

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.

Health literacy as a predictor of emergency department visit and self-rated health among Chinese immigrants: findings from an Australian survey (2020)
Journal Article
Zhang, L., Ding, D., Neubeck, L., & Gallagher, R. (2020). Health literacy as a predictor of emergency department visit and self-rated health among Chinese immigrants: findings from an Australian survey. Patient Education and Counseling, 103(11), 2353-2360. https://doi.org/10.1016/j.pec.2020.04.017

Objectives
Our objectives were to examine health literacy among first-generation Chinese immigrants living in Australia, identifying health literacy domains associated with emergency department (ED) visits and self-rated health (SRH).

Methods
Ch... Read More about Health literacy as a predictor of emergency department visit and self-rated health among Chinese immigrants: findings from an Australian survey.

Childhood adversity, mental health and suicide (CHASE): a protocol for a longitudinal case-control linked data study (2020)
Journal Article
Dougall, N., Savinc, J., Maxwell, M., Karatzias, T., O'Connor, R. C., Williams, B., Grandison, G., John, A., Cheyne, H., Fyvie, C., Bisson, J. I., Hibberd, C., Abbott-Smith, S., & Nolan, L. (2020). Childhood adversity, mental health and suicide (CHASE): a protocol for a longitudinal case-control linked data study. International Journal of Population Data Science, 5(1), https://doi.org/10.23889/ijpds.v5i1.1338

Introduction
Suicide is a tragic outcome with devastating consequences. In 2018, Scotland experienced a 15% increase in suicide from 680 to 784 deaths. This was marked among young people, with an increase of 53% in those aged 15-24, the highest sinc... Read More about Childhood adversity, mental health and suicide (CHASE): a protocol for a longitudinal case-control linked data study.

Machine-Learning Methods for Computational Science and Engineering (2020)
Journal Article
Frank, M., Drikakis, D., & Charissis, V. (2020). Machine-Learning Methods for Computational Science and Engineering. Computation, 8(1), Article 15. https://doi.org/10.3390/computation8010015

The re-kindled fascination in machine learning (ML), observed over the last few decades, has also percolated into natural sciences and engineering. ML algorithms are now used in scientific computing, as well as in data-mining and processing. In this... Read More about Machine-Learning Methods for Computational Science and Engineering.