scholarly journals 045 Atrial Fibrillation Screen, Management and Guideline Recommended Therapy (AF SMART II) in the Rural Primary Care Setting: Cost-Effective eHealth Tools to Support all Stages of Screening

2020 ◽  
Vol 29 ◽  
pp. S58
Author(s):  
J. Orchard ◽  
J. Li ◽  
B. Freedman ◽  
R. Webster ◽  
G. Salkeld ◽  
...  
2020 ◽  
Author(s):  
Vivek Bansal ◽  
Eng Sing Lee ◽  
Helen Smith

Abstract Background: Stroke is one of the top contributors to burden of disability-adjusted life-years worldwide. Family physicians have key role in optimal secondary prevention post-stroke helping patients make appropriate lifestyle changes and take medication in accordance with the recommended clinical practice guidelines.Methods: Our aim was to characterize the profile of patients who were being managed in primary care setting for secondary prevention of stroke. Our specific objectives were: (i) to examine the level of overall and individual risk factors control after an index-stroke event in patients visiting the primary care setting and (ii) to describe the factors associated with the achievement of overall risk factors control in post-stroke patients.Study Design: Retrospective cohort study.We conducted a study looking retrospectively at records from our electronic chronic disease database. Our study included post-stroke patients who visited public primary care setting in Singapore between 1st January 2012 to 31st December 2016. Based on AHA Stroke guidelines, we operationalized our outcome of secondary prevention post-stroke as overall control, which comprised of patients having blood pressure, lipids, and glucose reading (for those who had diabetes) all well-controlled. We conducted descriptive analysis and performed multivariable logistic analysis to determine factors associated with overall control.Results: There were 24,240 patients in our study. Overall control was better in post-stroke patients without diabetes (49.2%) as compared to those with diabetes (28.1%).Among post-stroke patients without diabetes, factors significantly associated with overall control were sex [OR: 1.23, 95% CI: 1.10, 1.39], ethnicity [OR: 0.72, 95% CI: 0.58, 0.90], BMI [OR: 0.72, 95% CI: 0.62, 0.84) and atrial fibrillation [OR: 1.47, 95% CI: 1.21, 1.78].Among post-stroke patients with diabetes, factors significantly associated with overall control were sex [OR: 1.28, 95% CI: 1.12, 1.46], ethnicity, BMI, atrial fibrillation[OR: 1.24; 95% CI: 1.02, 1.51], chronic kidney disease and smoking status.Conclusion: We reported a sub-optimal level of overall control. Among post-stroke patients, those with diabetes had a higher proportion of sub-optimal control as compared to those without diabetes. Irrespective of diabetic status, being female, having high BMI, and of Malay ethnicity were associated with poor overall control compared to Chinese.


Circulation ◽  
2017 ◽  
Vol 135 (1) ◽  
pp. 110-112 ◽  
Author(s):  
Pak-Hei Chan ◽  
Chun-Ka Wong ◽  
Louise Pun ◽  
Yu-Fai Wong ◽  
Michelle Man-Ying Wong ◽  
...  

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Simon Gabriël Beerten ◽  
Tine Proesmans ◽  
Bert Vaes

Abstract Background Atrial fibrillation is a cardiac arrhythmia commonly encountered in a primary care setting. Current screening is limited to pulse palpation and ECG confirmation when an irregular pulse is found. Paroxysmal atrial fibrillation will, however, still be difficult to pick up. With the advent of smartphones, screening could be more cost-efficient by making use of simple applications, lowering the need for intensive screening to discover (paroxysmal) atrial fibrillation. Methods/design This cluster randomized trial will examine the effect of using a smartphone-based application such as FibriCheck® on the detection rate of atrial fibrillation in a Flemish general practice population. This study will be conducted in 22 primary care practices across the Flanders region of Belgium and will last 12 months. Patients above 65 years of age will be divided in control and intervention groups on the practice level. The control group will be subjected to standard opportunistic screening only, while the intervention group will be prescribed the FibriCheck® app on top of this opportunistic screening. The difference in detection rate between control and intervention groups will be calculated at the end of the study. We will use the online platform INTEGO for pseudonymized data collection and analysis, and risk calculation. Discussion Smartphone applications might offer a way to cost-effectively screen for (paroxysmal) atrial fibrillation in a primary care setting. This could open the door for the update of future screening guidelines. Trial registration ClinicalTrials.gov NCT04545723. Registered on September 10, 2020.


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