Target Audience and Preferences Related to an Australian Coronary Heart Disease Specific Mobile App: A Mixed Methods Study (2019)
Journal Article
Gallagher, R., Parker, H., Zhang, L., Kirkness, A., Roach, K., Belshaw, J., Glinatsis, H., Gallagher, P., & Neubeck, L. (2020). Target Audience and Preferences Related to an Australian Coronary Heart Disease Specific Mobile App: A Mixed Methods Study. Heart, Lung and Circulation, 29(5), 696-702. https://doi.org/10.1016/j.hlc.2019.05.178

Background:
Widespread availability of mobile technologies offers the opportunity to support secondary prevention of coronary heart disease (CHD) via mobile apps, however, the target audience and their app preferences are unknown. This study aims to... Read More about Target Audience and Preferences Related to an Australian Coronary Heart Disease Specific Mobile App: A Mixed Methods Study.

To screen or not to screen? Examining the arguments against screening for atrial fibrillation. (2017)
Journal Article
Neubeck, L., Orchard, J., Lowres, N., & Freedman, S. B. (2017). To screen or not to screen? Examining the arguments against screening for atrial fibrillation. Heart, Lung and Circulation, 26(9), 880-886. https://doi.org/10.1016/j.hlc.2017.05.118

Atrial fibrillation (AF) is the most common cardiac arrhythmia, with a lifetime risk of 1 in 4 of developing AF over the age of 40 years. Around 40% of patients are asymptomatic, which is of concern as AF is a major risk factor for stroke. Early dete... Read More about To screen or not to screen? Examining the arguments against screening for atrial fibrillation..

Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses (2017)
Journal Article
Richtering, S. S., Morris, R., Soh, S.-E., Barker, A., Bampi, F., Neubeck, L., Coorey, G., Mulley, J., Chalmers, J., Usherwood, T., Peiris, D., Chow, C. K., & Redfern, J. (2017). Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses. PLOS ONE, 12(4), Article e0175372. https://doi.org/10.1371/journal.pone.0175372

Introduction
Electronic health (eHealth) strategies are evolving making it important to have valid scales to assess eHealth and health literacy. Item response theory methods, such as the Rasch measurement model, are increasingly used for the psychom... Read More about Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses.

eHealth Literacy: Predictors in a Population With Moderate-to-High Cardiovascular Risk (2017)
Journal Article
Richtering, S. S., Hyun, K., Neubeck, L., Coorey, G., Chalmers, J., Usherwood, T., Peiris, D., Chow, C. K., & Redfern, J. (2017). eHealth Literacy: Predictors in a Population With Moderate-to-High Cardiovascular Risk. JMIR Human Factors, 4(1), e4. https://doi.org/10.2196/humanfactors.6217

Background: Electronic health (eHealth) literacy is a growing area of research parallel to the ongoing development of eHealth interventions. There is, however, little and conflicting information regarding the factors that influence eHealth literacy,... Read More about eHealth Literacy: Predictors in a Population With Moderate-to-High Cardiovascular Risk.