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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...

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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:
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
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author Orchard, Jessica
Neubeck, Lis
Freedman, Ben
Li, Jialin
Webster, Ruth
Zwar, Nicholas
Gallagher, Robyn
Ferguson, Caleb
Lowres, Nicole
author_facet Orchard, Jessica
Neubeck, Lis
Freedman, Ben
Li, Jialin
Webster, Ruth
Zwar, Nicholas
Gallagher, Robyn
Ferguson, Caleb
Lowres, Nicole
author_sort Orchard, Jessica
collection PubMed
description 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 appeared whenever an eligible patient's (aged ≥65 years, no AF diagnosis) medical record was opened in participating general practices. General practitioners and practice nurses offered screening using a smartphone ECG, with validated AF algorithm. Guideline‐based EDS was provided to assist treatment decisions. Deidentified data were collected from practices using a data extraction tool. General practices (n=8) across Sydney, Australia, screened for a median of 6 months. A total of 1805 of 11 476 (16%) eligible patients who attended were screened (44% men, mean age 75.7 years). Screening identified 19 (1.1%) new cases of AF (mean age, 79 years; mean CHA (2) DS (2)‐VASc, 3.7; 53% men). General practitioners (n=30) performed 70% of all screenings (range 1–448 patients per general practitioner). The proportion of patients with AF who had CHA (2) DS (2)‐VASc ≥2 for men or ≥3 for women prescribed oral anticoagulants was higher for those diagnosed during the study: 15 of 18 (83%) for screen‐detected and 39 of 46 (85%) for clinically detected, compared with 933 of 1306 (71%) patients diagnosed before the study (P<0.001). The EDS was accessed 111 times for patients with AF and for 4 of 19 screen‐detected patients. CONCLUSIONS: The eHealth tools showed promise. Adherence to guideline‐based oral anticoagulant prescription was significantly higher in patients diagnosed during the study period, although the EDS was only used in a minority. While the proportion of eligible patients screened and EDS use was relatively low, further refinements may improve uptake in clinical practice. CLINICAL TRIAL REGISTRATION: URL: www.anzctr.org.au. Unique identifier: ACTRN12616000850471.
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spelling pubmed-64057122019-03-21 eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study Orchard, Jessica Neubeck, Lis Freedman, Ben Li, Jialin Webster, Ruth Zwar, Nicholas Gallagher, Robyn Ferguson, Caleb Lowres, Nicole J Am Heart Assoc Original Research 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 appeared whenever an eligible patient's (aged ≥65 years, no AF diagnosis) medical record was opened in participating general practices. General practitioners and practice nurses offered screening using a smartphone ECG, with validated AF algorithm. Guideline‐based EDS was provided to assist treatment decisions. Deidentified data were collected from practices using a data extraction tool. General practices (n=8) across Sydney, Australia, screened for a median of 6 months. A total of 1805 of 11 476 (16%) eligible patients who attended were screened (44% men, mean age 75.7 years). Screening identified 19 (1.1%) new cases of AF (mean age, 79 years; mean CHA (2) DS (2)‐VASc, 3.7; 53% men). General practitioners (n=30) performed 70% of all screenings (range 1–448 patients per general practitioner). The proportion of patients with AF who had CHA (2) DS (2)‐VASc ≥2 for men or ≥3 for women prescribed oral anticoagulants was higher for those diagnosed during the study: 15 of 18 (83%) for screen‐detected and 39 of 46 (85%) for clinically detected, compared with 933 of 1306 (71%) patients diagnosed before the study (P<0.001). The EDS was accessed 111 times for patients with AF and for 4 of 19 screen‐detected patients. CONCLUSIONS: The eHealth tools showed promise. Adherence to guideline‐based oral anticoagulant prescription was significantly higher in patients diagnosed during the study period, although the EDS was only used in a minority. While the proportion of eligible patients screened and EDS use was relatively low, further refinements may improve uptake in clinical practice. CLINICAL TRIAL REGISTRATION: URL: www.anzctr.org.au. Unique identifier: ACTRN12616000850471. John Wiley and Sons Inc. 2018-12-28 /pmc/articles/PMC6405712/ /pubmed/30590964 http://dx.doi.org/10.1161/JAHA.118.010959 Text en © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Orchard, Jessica
Neubeck, Lis
Freedman, Ben
Li, Jialin
Webster, Ruth
Zwar, Nicholas
Gallagher, Robyn
Ferguson, Caleb
Lowres, Nicole
eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study
title eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study
title_full eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study
title_fullStr eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study
title_full_unstemmed eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study
title_short eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline‐Recommended Therapy in Metropolitan General Practice: The AF‐SMART Study
title_sort ehealth tools to provide structured assistance for atrial fibrillation screening, management, and guideline‐recommended therapy in metropolitan general practice: the af‐smart study
topic Original Research
url 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
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