Cargando…

eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study

BACKGROUND: This eHealth implementation study aimed to evaluate strategies to promote opportunistic atrial fibrillation (AF) screening using electronic screening prompts and improve treatment using electronic decision support (EDS) software. METHODS AND RESULTS: An electronic screening prompt appear...

Descripción completa

Detalles Bibliográficos
Autores principales:	Orchard, Jessica, Neubeck, Lis, Freedman, Ben, Li, Jialin, Webster, Ruth, Zwar, Nicholas, Gallagher, Robyn, Ferguson, Caleb, Lowres, Nicole
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2018
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6405712/ https://www.ncbi.nlm.nih.gov/pubmed/30590964 http://dx.doi.org/10.1161/JAHA.118.010959

Ejemplares similares

Atrial Fibrillation Screen, Management And Guideline Recommended Therapy (AF SMART II) in the rural primary care setting: an implementation study protocol
por: Orchard, Jessica J, et al.
Publicado: (2018)

Uptake of a primary care atrial fibrillation screening program (AF-SMART): a realist evaluation of implementation in metropolitan and rural general practice
por: Orchard, Jessica, et al.
Publicado: (2019)

Atrial Fibrillation Screen, Management, and Guideline‐Recommended Therapy in the Rural Primary Care Setting: A Cross‐Sectional Study and Cost‐Effectiveness Analysis of eHealth Tools to Support All Stages of Screening
por: Orchard, Jessica, et al.
Publicado: (2020)

Atrial fibrillation self screening, management and guideline recommended therapy (AF SELF SMART): A protocol for atrial fibrillation self-screening in general practice
por: Giskes, Katrina, et al.
Publicado: (2020)

Increasing screening for atrial fibrillation in general practice: the Atrial Fibrillation Self‐Screening, Management And guideline‐Recommended Therapy (AF Self‐SMART) study
por: Giskes, Katrina, et al.
Publicado: (2022)

Identifying postoperative atrial fibrillation in cardiac surgical patients posthospital discharge, using iPhone ECG: a study protocol
por: Lowres, Nicole, et al.
Publicado: (2015)

Screening Education And Recognition in Community pHarmacies of Atrial Fibrillation to prevent stroke in an ambulant population aged ≥65 years (SEARCH-AF stroke prevention study): a cross-sectional study protocol
por: Lowres, Nicole, et al.
Publicado: (2012)

Staff acceptability and patient usability of a self-screening kiosk for atrial fibrillation in general practice waiting rooms
por: McKenzie, Kirsty, et al.
Publicado: (2022)

Supermarket/Hypermarket Opportunistic Screening for Atrial Fibrillation (SHOPS-AF): A Mixed Methods Feasibility Study Protocol
por: Jones, Ian D., et al.
Publicado: (2022)

Reducing Stroke Risk in Atrial Fibrillation: Adherence to Guidelines Has Improved, but Patient Persistence with Anticoagulant Therapy Remains Suboptimal
por: Lowres, Nicole, et al.
Publicado: (2019)

Implementation of a consumer-focused eHealth intervention for people with moderate-to-high cardiovascular disease risk: protocol for a mixed-methods process evaluation
por: Coorey, Genevieve M, et al.
Publicado: (2017)

Searching for atrial fibrillation post-stroke with prolonged monitoring: Do it early, but should we be looking for something else?
por: Lowres, Nicole, et al.
Publicado: (2021)

A realist evaluation approach to explaining the role of context in the impact of a complex eHealth intervention for improving prevention of cardiovascular disease
por: Coorey, Genevieve, et al.
Publicado: (2020)

Changes in the CHA(2)DS(2)-VAS(C) score as a predictor of incident atrial fibrillation in older Chinese individuals: the AF-CATCH study
por: Zhang, Wei, et al.
Publicado: (2022)

eHealth Literacy: Predictors in a Population With Moderate-to-High Cardiovascular Risk
por: Richtering, Sarah S, et al.
Publicado: (2017)

Detection rate and treatment gap for atrial fibrillation identified through screening in community health centers in China (AF-CATCH): A prospective multicenter study
por: Chen, Yi, et al.
Publicado: (2020)

Mobile Technology Utilization Among Patients From Diverse Cultural and Linguistic Backgrounds Attending Cardiac Rehabilitation in Australia: Descriptive, Case-Matched Comparative Study
por: Zhang, Ling, et al.
Publicado: (2018)

Persuasive design features within a consumer-focused eHealth intervention integrated with the electronic health record: A mixed methods study of effectiveness and acceptability
por: Coorey, Genevieve, et al.
Publicado: (2019)

Opportunistic screening to detect atrial fibrillation in Aboriginal adults in Australia
por: Gwynne, Kylie, et al.
Publicado: (2016)

Supporting Treatment decision making to Optimise the Prevention of STROKE in Atrial Fibrillation: The STOP STROKE in AF study. Protocol for a cluster randomised controlled trial
por: Gattellari, Melina, et al.
Publicado: (2012)

Mapping eHealth Education: Review of eHealth Content in Health and Medical Degrees at a Metropolitan Tertiary Institute in Australia
por: Keep, Melanie, et al.
Publicado: (2021)

Response to letter to the editor regarding: “Atrial fibrillation prevalence and risk profile from novel community-based screening in Thailand: A prospective multi-centre study”
por: Lowres, Nicole, et al.
Publicado: (2021)

Incremental yield of ECG screening repeated annually over 4 years in an adult Japanese population without prior atrial fibrillation: a retrospective cohort study
por: Nagata, Yoshiki, et al.
Publicado: (2020)

eHealth – Smart Devices revolutionieren die Kardiologie
por: Ledwoch, Jakob, et al.
Publicado: (2020)

The health and health behaviours of Australian metropolitan nurses: an exploratory study
por: Perry, Lin, et al.
Publicado: (2015)

Indonesian registry on atrial fibrillation (OneAF)
por: Raharjo, Sunu Budhi, et al.
Publicado: (2021)

Korean Atrial Fibrillation (AF) Network: Genetic Variants for AF Do Not Predict Ablation Success
por: Choi, Eue-Keun, et al.
Publicado: (2015)

Guidelines and Recommendations for Developing Interactive eHealth Apps for Complex Messaging in Health Promotion
por: Heffernan, Kayla Joanne, et al.
Publicado: (2016)

In-Hospital Mortality Among Critically Ill Patients With Atrial Fibrillation (AF) Versus Patients Without AF
por: Mehreen, Tooba, et al.
Publicado: (2021)

Information Theory and Atrial Fibrillation (AF): A Review
por: Dharmaprani, Dhani, et al.
Publicado: (2018)

The Metropolitan Hospital Sunday Fund and Letters of Recommendation
Publicado: (1907)

Nurse Led Smartphone Electrographic Monitoring for Atrial Fibrillation after Ischemic Stroke: SPOT-AF
por: Yan, Bernard, et al.
Publicado: (2020)

Gender Differences in Uptake, Adherence and Experiences: A Longitudinal, Mixed-Methods Study of a Physical Activity Referral Scheme in Scotland, UK
por: Hanson, Coral L., et al.
Publicado: (2021)

The Internet of Things: foundation for smart cities, eHealth, and ubiquitous computing
por: Armentano, Ricardo, et al.
Publicado: (2017)

Re‐CHARGE‐AF: Recalibration of the CHARGE‐AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke
por: Ashburner, Jeffrey M., et al.
Publicado: (2021)

Engagement of atrial fibrillation patients with the AF-EduApp, a new mobile application to support AF management
por: Knaepen, Lieselotte, et al.
Publicado: (2023)

The CHOICE (Choice of Health Options In prevention of Cardiovascular Events) replication trial: study protocol
por: Neubeck, Lis, et al.
Publicado: (2008)

Increased Heart Rate Is Associated With Higher Mortality in Patients With Atrial Fibrillation (AF): Results From the Outcomes Registry for Better Informed Treatment of AF (ORBIT-AF)
por: Steinberg, Benjamin A, et al.
Publicado: (2015)

Hospitalizations in patients with atrial fibrillation: an analysis from ROCKET AF
por: DeVore, Adam D., et al.
Publicado: (2016)

Atrial fibrillation and heart failure- results of the CASTLE-AF trial
por: Shah, Syed Raza, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_q12mui1o6qhbark1ucsbkoo9dm