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Linz D, Gawalko M, Betz K, Hendriks JM, Lip GY, Vinter N, Guo Y, Johnsen S. Atrial fibrillation: epidemiology, screening and digital health. THE LANCET REGIONAL HEALTH. EUROPE 2024; 37:100786. [PMID: 38362546 PMCID: PMC10866942 DOI: 10.1016/j.lanepe.2023.100786] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/12/2023] [Accepted: 11/02/2023] [Indexed: 02/17/2024]
Abstract
Atrial fibrillation (AF) is highly prevalent with a lifetime risk of about 1 in 3-5 individuals after the age of 45 years. Between 2010 and 2019, the global prevalence of AF has risen markedly from 33.5 million to 59 million individuals living with AF. Early detection of AF and implementation of appropriate treatment could reduce the frequency of complications associated with AF. International AF management guidelines recommend opportunistic and systematic screening for AF, but additional data are needed. Digital approaches and pathways have been proposed for early detection and for the transition to early AF management. Mobile health (mHealth) devices provide an opportunity for digital screening and should be part of novel models of care delivery based on integrated AF care pathways. For a broad implementation of mHealth-based, integrated care for patients with chronic diseases as AF, further high quality evidence is necessary. In this review, we present an overview of the present data on epidemiology, screening techniques, and the contribution of digital health solutions to the integrated management of AF. We also provide a systemic review on current data of digital and integrated AF management.
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Affiliation(s)
- Dominik Linz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Monika Gawalko
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
- Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Konstanze Betz
- Department of Cardiology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
- Department of Internal Medicine, Eifelklinik St. Brigida, Simmerath, Germany
| | - Jeroen M. Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Gregory Y.H. Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Nicklas Vinter
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Diagnostic Centre, Silkeborg Regional Hospital, Silkeborg, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Yutao Guo
- Six Medical Center, Department of Pulmonary Vessel and Thrombotic Disease, Chinese PLA General Hospital, Beijing, China
| | - Søren Johnsen
- Danish Center for Clinical Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Heider AK, Mang H. Effects of Non-monetary Incentives in Physician Groups-A Systematic Review. Am J Health Behav 2023; 47:458-470. [PMID: 37596755 DOI: 10.5993/ajhb.47.3.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/20/2023]
Abstract
Objectives: Healthcare expenditures in western countries have been rising for many years. This leads many countries to develop and test new reimbursement systems. A systematic review about monetary incentives in group settings indicated that a sole focus on monetary aspects does not necessarily result in better care at lower costs. Hence, this systematic review aims to describe the effects of non- monetary incentives in physician groups. Methods: We searched the databases MEDLINE (PubMed), The Cochrane Library, CINAHL, PsycINFO, EconLit, and ISI Web of Science. Grey literature search, reference lists, and authors' personal collection provided additional sources. Results: Overall, we included 36 studies. We identified 4 categories of interventions related to non-monetary incentives. In particular, the category of decision support achieved promising results. However, design features vary among different decision support systems. To enable effective design, we provide an overview of the features applied by the studies included. Conclusions: Not every type of non-monetary incentive has a positive impact on quality of care in physician group settings. Thus, creating awareness among decision-makers regarding this matter and extending research on this topic can contribute to preventing implementation of ineffective incentives, and consequently, allocate resources towards tools that add value.
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Affiliation(s)
- Ann-Kathrin Heider
- Faculty of Medicine, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany
| | - Harald Mang
- Master Program Medical Process Management, Universitätsklinikum Erlangen, Germany
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Jones JL, Simons K, Manski-Nankervis JA, Lumsden NG, Fernando S, de Courten MP, Cox N, Hamblin PS, Janus ED, Nelson CL. Chronic disease IMPACT (chronic disease early detection and improved management in primary care project): An Australian stepped wedge cluster randomised trial. Digit Health 2023; 9:20552076231194948. [PMID: 37588155 PMCID: PMC10426307 DOI: 10.1177/20552076231194948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 07/28/2023] [Indexed: 08/18/2023] Open
Abstract
Background Interrelated chronic vascular diseases (chronic kidney disease (CKD), type 2 diabetes (T2D) and cardiovascular disease (CVD)) are common with high morbidity and mortality. This study aimed to assess if an electronic-technology-based quality improvement intervention in primary care could improve detection and management of people with and at risk of these diseases. Methods Stepped-wedge trial with practices randomised to commence intervention in one of five 16-week periods. Intervention included (1) electronic-technology tool extracting data from general practice electronic medical records and generating graphs and lists for audit; (2) education regarding chronic disease and the electronic-technology tool; (3) assistance with quality improvement audit plan development, benchmarking, monitoring and support. De-identified data analysis using R 3.5.1 conducted using Bayesian generalised linear mixed model with practice and time-specific random intercepts. Results At baseline, eight included practices had 37,946 active patients (attending practice ≥3 times within 2 years) aged ≥18 years. Intervention was associated with increased OR (95% CI) for: kidney health checks (estimated glomerular filtration rate, urine albumin:creatinine ratio (uACR) and blood pressure) in those at risk 1.34 (1.26-1.42); coded diagnosis of CKD 1.18 (1.09-1.27); T2D diagnostic testing (fasting glucose or HbA1c) in those at risk 1.15 (1.08-1.23); uACR in patients with T2D 1.78 (1.56-2.05). Documented eye checks within recommended frequency in patients with T2D decreased 0.85 (0.77-0.96). There were no significant changes in other assessed variables. Conclusions This electronic-technology-based intervention in primary care has potential to help translate guidelines into practice but requires further refining to achieve widespread improvements across the interrelated chronic vascular diseases.
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Affiliation(s)
- Julia L Jones
- Nephrology, Western Health, Melbourne, Australia
- Western Health Chronic Disease Alliance, Melbourne, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Australia
| | - Koen Simons
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Office for Research, Western Health, Melbourne, Australia
| | | | - Natalie G Lumsden
- Nephrology, Western Health, Melbourne, Australia
- Western Health Chronic Disease Alliance, Melbourne, Australia
- Department of General Practice, The University of Melbourne, Melbourne, Australia
| | | | - Maximilian P de Courten
- Mitchell Institute for Education and Health Policy, Melbourne, Australia
- Centre for Chronic Disease, Victoria University, Melbourne, Australia
| | - Nicholas Cox
- Western Health Chronic Disease Alliance, Melbourne, Australia
- Centre for Chronic Disease, Victoria University, Melbourne, Australia
- Cardiology, Western Health, Melbourne, Australia
| | - Peter Shane Hamblin
- Western Health Chronic Disease Alliance, Melbourne, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Australia
- Endocrinology and Diabetes, Western Health, Melbourne, Australia
| | - Edward D Janus
- Western Health Chronic Disease Alliance, Melbourne, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Australia
- Medicine, Western Health, Melbourne, Australia
| | - Craig L Nelson
- Nephrology, Western Health, Melbourne, Australia
- Western Health Chronic Disease Alliance, Melbourne, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Australia
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Ru X, Wang T, Zhu L, Ma Y, Qian L, Sun H, Pan Z. Using a Clinical Decision Support System to Improve Anticoagulation in Patients with Nonvalve Atrial Fibrillation in China's Primary Care Settings: A Feasibility Study. Int J Clin Pract 2023; 2023:2136922. [PMID: 36713952 PMCID: PMC9876694 DOI: 10.1155/2023/2136922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/25/2022] [Accepted: 01/04/2023] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND To primarily investigate the effect of using a clinical decision support system (CDSS) in community health centers in Shanghai, China, on the proportion of patients prescribed guideline-directed antithrombotic therapy. This study also gauged the general practitioner (GP)'s acceptance of the CDSS who worked in the atrial fibrillation (AF) special consulting room of the CDSS group. METHODS This was a prospective cohort study that included a semistructured interview and a feasibility study for a cluster-randomized controlled trial. Eligible patients who sought medical care in the AF special consulting rooms in two community health centers in Shanghai, China, between April 1, 2020, and October 1, 2020, were enrolled, and their medical records from the enrollment date, up to October 1, 2021, were extracted. Based on whether the GPs in the AF special consulting rooms of the two sites used the CDSS or not, we classified the two sites as a software group and a control group. The CDSS could automatically assess the risks of stroke and bleeding and provide suggestions on treatment, follow-up, adjustment of anticoagulants or dosage, and other items. The primary outcome was the proportion of patients prescribed guideline-directed antithrombotic therapy. We also conducted a semistructured interview with the GP in the AF special consulting rooms of the software group regarding the acceptance of the CDSS and suggestions on the optimization of the CDSS and the study protocol of the cluster-randomized controlled trial in the future. RESULTS Eighty-four patients completed the follow-up. The mean age of these subjects was 75.71 years, the median time of clinical visits was six times per person, and the follow-up duration was 15 months. The basic demographics were similar between the two groups, except for age (t = 2.109, p = 0.038) and the HAS-BLED score (χ 2 = 4.363, p = 0.037). The primary outcome in the software group was 8.071 times higher than that in the control group (adjusted odds ratio (OR) = 8.071, 95% confidence interval (2.570-25.344), p < 0.001). The frequency of consultation between groups was not significantly different (p = 0.981). It seemed that the incidence of adverse clinical events in the software group was lower than that in the control group. The main reason for dropouts in both groups was "following up in other hospitals." The GP in the AF special consulting rooms of the software group accepted the CDSS well. CONCLUSIONS The findings indicated that it was feasible to further promote the CDSS in the study among community health centers in China. The use of the CDSS might improve the proportion of patients prescribed guideline-directed antithrombotic therapy. The GP in the AF special consulting room of the software group showed a positive attitude toward the CDSS.
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Affiliation(s)
- Xueying Ru
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Tianhao Wang
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Lan Zhu
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Xuhui District Xietu Community Health Service Center, Shanghai 200023, China
| | - Yunhui Ma
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Liqun Qian
- Xuhui District Fenglin Community Health Service Center, Shanghai 200032, China
| | - Huan Sun
- Pudong New Area Beicai Community Health Service Center, Shanghai 201204, China
| | - Zhigang Pan
- Department of General Practice, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Sporn ZA, Berman AN, Daly D, Wasfy JH. Improving guideline-based anticoagulation in atrial fibrillation: A systematic literature review of prospective trials. Heart Rhythm 2023; 20:69-75. [PMID: 36122695 DOI: 10.1016/j.hrthm.2022.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 09/07/2022] [Accepted: 09/12/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Guidelines for anticoagulation in patients with atrial fibrillation (AF) aim to decrease the risk of ischemic stroke. However, there is a gap in actual practice between patients who have an indication for anticoagulation and those who are actually prescribed anticoagulation. OBJECTIVE We sought to evaluate the efficacy of prior population-based interventions aimed at decreasing this AF anticoagulation gap. METHODS This study was prospectively registered in the International Prospective Register of Systematic Reviews database (CRD42021287875). A systematic literature review was conducted to obtain all prospective individually randomized and cluster randomized trials by searching 4 electronic databases: PubMed, Google Scholar, Web of Science, and Medline. RESULTS After a review of 1474 studies, 20 trials were included in this systematic literature review. Forty-five percent were effective in decreasing the AF anticoagulation gap. Trial interventions that improved anticoagulation prescribing included 6 trials of electronic risk assessment or decision support, 1 trial of provider education, 2 trials of new protocol or pathway, and 2 trials of patient education. Six of 15 ambulatory trials, 2 of 4 inpatient trials, and 1 trial that spanned inpatient and outpatient settings improved anticoagulation prescribing rates. Interventions focused on patient education, provider education, and electronic risk assessment or decision support increased absolute appropriate anticoagulation prescribing by 8.3%, 4.9%, and 2.0%, respectively. CONCLUSION Interventions aimed at improving anticoagulation prescribing patterns in AF can be effective, although there is heterogeneity in outcomes across intervention type. The most effective interventions appeared to target patient education, provider education, and electronic risk assessment or decision support.
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Affiliation(s)
- Zachary A Sporn
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
| | - Adam N Berman
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Danielle Daly
- Population Health Management, Performance Analysis and Improvement, Massachusetts General Physicians Organization, Massachusetts General Hospital, Boston, Massachusetts
| | - Jason H Wasfy
- Population Health Management, Performance Analysis and Improvement, Massachusetts General Physicians Organization, Massachusetts General Hospital, Boston, Massachusetts; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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Abstract
Despite considerable progress in tackling cardiovascular disease over the past 50 years, many gaps in the quality of care for cardiovascular disease remain. Multiple missed opportunities have been identified at every step in the prevention and treatment of cardiovascular disease, such as failure to make risk factor modifications, failure to diagnose cardiovascular disease, and failure to use proper evidence based treatments. With the digital transformation of medicine and advances in health information technology, clinical decision support (CDS) tools offer promise to enhance the efficiency and effectiveness of delivery of cardiovascular care. However, to date, the promise of CDS delivering scalable and sustained value for patient care in clinical practice has not been realized. This article reviews the evidence on key emerging questions around the development, implementation, and regulation of CDS with a focus on cardiovascular disease. It first reviews evidence on the effectiveness of CDS on healthcare process and clinical outcomes related to cardiovascular disease and design features associated with CDS effectiveness. It then reviews the barriers encountered during implementation of CDS in cardiovascular care, with a focus on unintended consequences and strategies to promote successful implementation. Finally, it reviews the legal and regulatory environment of CDS with specific examples for cardiovascular disease.
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Affiliation(s)
- Yuan Lu
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Edward R Melnick
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Biostatistics (Health Informatics), Yale School of Public Health, New Haven, CT, USA
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
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Eckman MH, Wise R, Knochelmann C, Mardis R, Wright S, Gummadi A, Dixon E, Becker R, Schauer DP, Flaherty ML, Costea A, Kleindorfer D, Ireton R, Baker P, Harnett BM, Adejare A, Leonard AC, Sucharew H, Costanzo A, Arduser L, Kues J. Electronic health record-embedded decision support to reduce stroke risk in patients with atrial fibrillation - Study protocol. Am Heart J 2022; 247:42-54. [PMID: 35081360 DOI: 10.1016/j.ahj.2022.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND Atrial fibrillation (AF) is the most common significant cardiac rhythm disorder and is a powerful common risk factor for stroke. Randomized trials have demonstrated that anticoagulation can reduce the risk of stroke in patients with AF. Yet, there continues to be widespread underutilization of this therapy. To address this practice gap locally and improve efforts to reduce the risk of stroke for patients with AF in our health system, we have designed a study to implement and evaluate the effectiveness of an Atrial Fibrillation Decision Support Tool (AFDST) embedded within our electronic health record. METHODS Our intervention is provider-facing and focused on decision support. The clinical setting is ambulatory patients being seen by primary care physicians. Patients include those with both incident and prevalent AF. This randomized, prospective trial will enroll 800 patients in our University of Cincinnati Health System who are currently receiving less than optimal anticoagulation therapy as determined by the AFDST. Patients will be randomized to one of two arms - 1) usual care, in which the AFDST is available for use; 2) addition of a best practice advisory (BPA) to the AFDST notifying the clinician that their patient stands to gain a significant benefit from a change in their current thromboprophylactic therapy. RESULTS The primary outcome is effectiveness of the BPA measured by change to "appropriate thromboprophylaxis" based on the AFDST recommendation at 3 months post randomization. Secondary endpoints include Reach and Adoption, from the RE-AIM framework for implementation studies. Sample size is based upon an improvement from inappropriate to appropriate anticoagulation therapy estimated at 4% in the usual care arm and ≥10% in the experimental arm. CONCLUSION Our goal is to examine whether addition of a BPA to an AFDST focused on primary care physicians in an ambulatory care setting will improve "appropriate thromboprophylaxis" compared with usual care. Results will be examined at 3 months post randomization and at the end of the study to evaluate durability of changes. We expect to complete patient enrollment by the end of June 2022. TRIAL REGISTRATION Clinicaltrials.gov NCT04099485.
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Bonini N, Vitolo M, Imberti JF, Proietti M, Romiti GF, Boriani G, Paaske Johnsen S, Guo Y, Lip GYH. Mobile health technology in atrial fibrillation. Expert Rev Med Devices 2022; 19:327-340. [PMID: 35451347 DOI: 10.1080/17434440.2022.2070005] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Mobile health (mHealth) solutions in atrial fibrillation (AF) are becoming widespread, thanks to everyday life devices such as smartphones. Their use is validated both in monitoring and in screening scenarios. In the published literature, the diagnostic accuracy of mHealth solutions wide differs, and their current clinical use is not well established in principal guidelines. AREAS COVERED mHealth solutions have progressively built an AF-detection chain to guide patients from the device's alert signal to the health care practitioners' (HCPs) attention. This review aims to critically evaluate the latest evidence regarding mHealth devices and the future possible patient's uses in everyday life. EXPERT OPINION The patients are the first to be informed of the rhythm anomaly, leading to the urgency of increasing the patients' AF self-management. Furthermore, HCPs need to update themselves about mHealth devices use in clinical practice. Nevertheless, these are promising instruments in specific populations, such as post-stroke patients, to promote an early arrhythmia diagnosis in the post-ablation/cardioversion period, allowing checks on the efficacy of the treatment or intervention.
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Affiliation(s)
- Niccolò Bonini
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Marco Vitolo
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy.,Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Jacopo Francesco Imberti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy.,Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Marco Proietti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
| | - Giulio Francesco Romiti
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Department of Translational and Precision Medicine, Sapienza-University of Rome, Rome, Italy
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Søren Paaske Johnsen
- Danish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Yutao Guo
- Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, United Kingdom.,Danish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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Ru X, Zhu L, Ma Y, Wang T, Pan Z. Effect of an artificial intelligence-assisted tool on non-valvular atrial fibrillation anticoagulation management in primary care: protocol for a cluster randomized controlled trial. Trials 2022; 23:316. [PMID: 35428315 PMCID: PMC9013112 DOI: 10.1186/s13063-022-06250-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 03/28/2022] [Indexed: 11/16/2022] Open
Abstract
Background Atrial fibrillation (AF) is one of the most common cardiac arrhythmia diseases. Thromboembolic prophylaxis plays an essential role in AF therapy, but at present, general practitioners (GPs) are presumed to lack the knowledge and enthusiasm for AF management. Clinical decision support systems (CDSS), assisted by artificial intelligence, help primary care providers (PCPs) make quick, individualized, and correct clinical decisions. This primary aim of the study is to identify whether the promotion of the CDSS would improve the primary care provided to patients with AF. The secondary objectives are mainly to assess the health-economic and clinical benefits from using the CDSS, and the improvement of GPs’ AF management capability. Methods This study will be a prospective cluster randomized controlled trial, conducted among 14 community health centers in Shanghai which were randomized as the intervention group and control group in a ratio of 1:1. The intervention group will use the CDSS in the consultation of patients with AF and the control group will maintain their usual care. The trial will include 498 patients with AF and the follow-up period will be 12 months. The primary outcome is set as the proportion of antithrombotic treatment prescriptions in agreement with recommendations in the latest China’s AF-related guidelines. The secondary outcomes are the frequency of consultation, the compliance rate of international normalized ratio (INR) in patients with warfarin, stroke morbidity, treatment compliance, medication satisfaction, and the cost-benefit analysis. Per-protocol (PP) analysis and the intention-to-treat (ITT) analysis will be conducted. Discussion This study aims to identify whether the application of CDSS to manage patients with AF in China’s community health centers would bring benefits for patients, physicians, and health economics. Trial registration Registry name: 非瓣膜性房颤社区AI辅助管理工具研发及推广效果研究 (Development and promotion of an AI-assisted tool for NVAF management in primary care); registry number: ChiCTR2100052307; registration date: Nov. 22nd, 2021; http://www.chictr.org.cn/showproj.aspx?proj=133849. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06250-8.
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Willis VC, Thomas Craig KJ, Jabbarpour Y, Scheufele EL, Arriaga YE, Ajinkya M, Rhee KB, Bazemore A. Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review. JMIR Med Inform 2022; 10:e33518. [PMID: 35060909 PMCID: PMC8817213 DOI: 10.2196/33518] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/19/2021] [Accepted: 12/04/2021] [Indexed: 12/20/2022] Open
Abstract
Background Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated. Objective This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings. Methods A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted. Results The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low. Conclusions Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.
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Affiliation(s)
- Van C Willis
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Kelly Jean Thomas Craig
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Yalda Jabbarpour
- Policy Studies in Family Medicine and Primary Care, The Robert Graham Center, American Academy of Family Physicians, Washington, DC, United States
| | - Elisabeth L Scheufele
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Yull E Arriaga
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Monica Ajinkya
- Policy Studies in Family Medicine and Primary Care, The Robert Graham Center, American Academy of Family Physicians, Washington, DC, United States
| | - Kyu B Rhee
- Center for Artificial Intelligence, Research, and Evaluation, IBM Watson Health, Cambridge, MA, United States
| | - Andrew Bazemore
- The American Board of Family Medicine, Lexington, KY, United States
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Osasu YM, Cooper R, Mitchell C. Patients' and clinicians' perceptions of oral anticoagulants in atrial fibrillation: a systematic narrative review and meta-analysis. BMC FAMILY PRACTICE 2021; 22:254. [PMID: 34937557 PMCID: PMC8697449 DOI: 10.1186/s12875-021-01590-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 11/22/2021] [Indexed: 11/10/2022]
Abstract
Background Atrial fibrillation (AF) increases the risk of developing a stroke by 20%. AF related strokes are associated with greater morbidity. Historically, warfarin was the anticoagulant of choice for stroke prevention in patients with AF but lately patients are being switched or started on direct oral anticoagulants (DOACs). DOACs are promoted as safer alternatives to warfarin and it is expected that they will be associated with fewer challenges both for patients and healthcare professionals. This systematic narrative review aimed to explore perspectives of patients and professionals on medicines optimisation of oral anticoagulation with vitamin K antagonists and DOACs in atrial fibrillation. Methods Prospero registration CRD42018091591. Systematic searches undertaken of research studies (qualitative and quantitative), published February 2018 to November 2020 from several databases (Web of Science, Scopus, Medline Via Ovid, CINHAL via Ebsco, and PubMED via NCBI) following PRISMA methodology. Data were organised using Covidence software. Two reviewers independently assessed the quality of the included studies and synthesized the findings (thematic analysis approach). Results Thirty-four studies were included. Studies were critically appraised using established critical appraisal tools (Qualsyst) and a risk of bias was assigned. Clinicians considered old age and the associated complexities such as co-morbidities and the increased potential for bleeding as potential barriers to optimising anticoagulation. Whereas patients’ health and medication beliefs influenced adherence. Notably, structured patient support was important in enhancing safety and effective anticoagulation. For both patients and clinicians, confidence and experience of safe anticoagulation was influenced by the presence of co-morbidities, poor knowledge and understanding of AF and the purpose of anticoagulation. Conclusion Age, complex multimorbidity and polypharmacy influence prescribing, with DOACs being perceived to be safer than warfarin. This systematic narrative review suggests that interventions are needed to support patient self-management. There are residual anxieties associated with long term anticoagulation in the context of complexities. Trial registration Not applicable.
Supplementary Information The online version contains supplementary material available at 10.1186/s12875-021-01590-x.
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Affiliation(s)
- Yeyenta Mina Osasu
- Academic Unit of Primary Medical Care, Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, S5 7AU, UK.
| | | | - Caroline Mitchell
- Academic Unit of Primary Medical Care, Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, S5 7AU, UK
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12
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Quintens C, Verhamme P, Vanassche T, Vandenbriele C, Van den Bosch B, Peetermans WE, Van der Linden L, Spriet I. Improving appropriate use of anticoagulants in hospitalised patients: a pharmacist-led Check of Medication Appropriateness intervention. Br J Clin Pharmacol 2021; 88:2959-2968. [PMID: 34913184 DOI: 10.1111/bcp.15184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 11/13/2021] [Accepted: 12/05/2021] [Indexed: 11/29/2022] Open
Abstract
AIM Inappropriate anticoagulant use increases the risk of bleeding and thrombotic events. We implemented clinical decision rules to promote judicious medication use, as part of the 'Check of Medication Appropriateness' (CMA). The CMA concerns a pharmacist-led review service, targeting potentially inappropriate prescriptions (PIPs). In this analysis, we aimed to evaluate the impact of the CMA on anticoagulant prescribing. METHODS The number of anticoagulant-related PIPs was evaluated before and after implementation of the intervention in a quasi-experimental interrupted time series analysis. The pre-implementation cohort received usual care. The anticoagulant-focused CMA, comprising 13 clinical rules pertaining to anticoagulation therapies, was implemented in the post-implementation cohort. Segmented regression analysis was used to assess the impact of the intervention on the number of residual PIPs. A residual PIP was defined as a PIP which persisted up to 48h after the CMA intervention. Total number of recommendations and acceptance rate were documented for the 2-year post-implementation period. RESULTS Pre-implementation, we observed 501 PIPs in 466 inpatients on 36 days, with a median proportion of 78.5% (range: 46.2%-100%) residual PIPs per day. Post-implementation, 538 PIPs were detected in 485 patients over the same number of days. The CMA intervention reduced the median proportion to 18.2% (range: 0-100%) per day. The effect coincided with an immediate relative reduction of 70% (95%CI 0.19-0.46) in anticoagulant-related residual PIPs. Post-implementation, 2778 recommendations were provided and 75.1% were accepted. CONCLUSION Our CMA approach significantly reduced anticoagulant-related PIPs. Implementing a pharmacist-led intervention, based on clinical rules, may support safer prescribing of anticoagulants.
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Affiliation(s)
- Charlotte Quintens
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Pharmacy Department, University Hospitals Leuven, Leuven, Belgium
| | - Peter Verhamme
- Department of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium.,Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Thomas Vanassche
- Department of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium.,Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Christophe Vandenbriele
- Department of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium.,Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Bart Van den Bosch
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.,Department of Information Technology, University Hospitals Leuven, Leuven, Belgium
| | - Willy E Peetermans
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.,Department of General Internal Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Lorenz Van der Linden
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Pharmacy Department, University Hospitals Leuven, Leuven, Belgium
| | - Isabel Spriet
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.,Pharmacy Department, University Hospitals Leuven, Leuven, Belgium
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13
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Song D, Zhou J, Fan T, Chang J, Qiu Y, Zhuang Z, Ma J, Zeng L. Decision aids for shared decision-making and appropriate anticoagulation therapy in patients with atrial fibrillation: a systematic review and meta-analysis. Eur J Cardiovasc Nurs 2021; 21:97-106. [PMID: 34550376 DOI: 10.1093/eurjcn/zvab085] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/23/2021] [Accepted: 09/03/2021] [Indexed: 11/12/2022]
Abstract
AIMS Underuse of oral anticoagulants (OACs) is commonly observed among patients with atrial fibrillation (AF), which hinders stroke prevention in AF. Shared decision-making (SDM) can help enhance adherence by minimizing patients' misunderstanding of treatment and aligning care with their preferences. Decision aids (DAs) have been developed to facilitate the SDM process. This study aimed to: (i) evaluate the effects of DAs on AF patients' knowledge, decisional conflict, OAC uptake, and adherence and on the incidence of stroke and bleeding; and (ii) explore characterizing factors associated with enhanced DA effectiveness. METHODS AND RESULTS Five databases were searched. Meta-analysis was conducted using RevMan 5.3 when data were available. Comparative analysis between effective and ineffective DAs was conducted to determine the DA designs associated with better effects. Ten studies were included. Pooling results indicated that DAs reduce decisional conflict related to warfarin use [mean difference = -0.10; 95% confidence interval (CI): -0.18 to -0.02; P = 0.01] and enhance OAC uptake [risk ratio: 1.03; 95% CI: 1.01-1.05; P = 0.004]. The effects of DAs on adherence and incidence of stroke and bleeding were unclear. Comparative analysis revealed that DAs with key elements of SDM (situation diagnosis, choice awareness, option clarification, benefits and disadvantages, and patient's preference) and pre-consultation delivery are more likely to be effective in promoting SDM and OAC uptake. CONCLUSIONS DAs are promising in promoting SDM and OAC uptake in patients with AF. The evidence on adherence and incidence of stroke and bleeding remains uncertain. More trials with rigorous study design and longer follow-up are necessary to obtain evidence.
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Affiliation(s)
- Dan Song
- Shenzhen Qianhai and Shekou Free Trade Zone Hospital, No. 36, 7th Industrial Road, Nanshan District, Shenzhen City, Guangdong Province 518067, P.R. China
| | - Jie Zhou
- Shenzhen Qianhai and Shekou Free Trade Zone Hospital, No. 36, 7th Industrial Road, Nanshan District, Shenzhen City, Guangdong Province 518067, P.R. China
| | - Tianli Fan
- Shenzhen Qianhai and Shekou Free Trade Zone Hospital, No. 36, 7th Industrial Road, Nanshan District, Shenzhen City, Guangdong Province 518067, P.R. China
| | - Jing Chang
- Shenzhen Qianhai and Shekou Free Trade Zone Hospital, No. 36, 7th Industrial Road, Nanshan District, Shenzhen City, Guangdong Province 518067, P.R. China
| | - Yuzhen Qiu
- Shenzhen Qianhai and Shekou Free Trade Zone Hospital, No. 36, 7th Industrial Road, Nanshan District, Shenzhen City, Guangdong Province 518067, P.R. China
| | - Zexiang Zhuang
- Shenzhen Qianhai and Shekou Free Trade Zone Hospital, No. 36, 7th Industrial Road, Nanshan District, Shenzhen City, Guangdong Province 518067, P.R. China
| | - Juanjuan Ma
- Shenzhen Qianhai and Shekou Free Trade Zone Hospital, No. 36, 7th Industrial Road, Nanshan District, Shenzhen City, Guangdong Province 518067, P.R. China
| | - Li Zeng
- Shenzhen Qianhai and Shekou Free Trade Zone Hospital, No. 36, 7th Industrial Road, Nanshan District, Shenzhen City, Guangdong Province 518067, P.R. China
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14
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Gebreyohannes EA, Mill D, Salter S, Chalmers L, Bereznicki L, Lee K. Strategies for improving guideline adherence of anticoagulants for patients with atrial fibrillation in primary healthcare: A systematic review. Thromb Res 2021; 205:128-136. [PMID: 34333301 DOI: 10.1016/j.thromres.2021.07.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/06/2021] [Accepted: 07/22/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Clinical guidelines on atrial fibrillation management help optimize the use of oral anticoagulants. However, guideline non-adherence is common, particularly in the primary care setting. The primary aim of this systematic review was to identify effective strategies for improving adherence to guideline-directed thromboprophylaxis to patients with atrial fibrillation in the primary care setting. METHODS A search was conducted on 6 electronic databases (Medline, Embase, ScienceDirect, Scopus, the Cumulative Indexing of Nursing and Allied Health Literature, and Web of Science) supplemented by a Google advanced search. Studies aimed at improving oral thromboprophylaxis guideline adherence in patients with atrial fibrillation, in the primary care setting, were included in the study. RESULTS A total of 33 studies were included in this review. Nine studies employed electronic decision support (EDS), of which 4 reported modest improvements in guideline adherence. Five of 6 studies that utilized local guidelines as quality improvement measures reported improvement in guideline adherence. All 5 studies that employed coordinated care and the use of specialist support and 4 of the 5 studies that involved pharmacist-led interventions reported improvements in guideline adherence. Interventions based mainly on feedback from audits were less effective. CONCLUSIONS Multifaceted interventions, especially those incorporating coordinated care and specialist support, pharmacists, or local adaptations to and implementation of national and/or international guidelines appear to be more consistently effective in improving guideline adherence in the primary care setting than interventions based mainly on EDS and feedback from audits.
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Affiliation(s)
| | - Deanna Mill
- Division of Pharmacy, School of Allied Health, University of Western Australia, WA, Australia
| | - Sandra Salter
- Division of Pharmacy, School of Allied Health, University of Western Australia, WA, Australia
| | | | - Luke Bereznicki
- School of Pharmacy and Pharmacology, University of Tasmania, TAS, Australia
| | - Kenneth Lee
- Division of Pharmacy, School of Allied Health, University of Western Australia, WA, Australia
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15
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Hindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomström-Lundqvist C, Boriani G, Castella M, Dan GA, Dilaveris PE, Fauchier L, Filippatos G, Kalman JM, Meir ML, Lane DA, Lebeau JP, Lettino M, Lip GY, Pinto FJ, Neil Thomas G, Valgimigli M, Van Gelder IC, Van Putte BP, Watkins CL. Guía ESC 2020 sobre el diagnóstico y tratamiento de la fibrilación auricular, desarrollada en colaboración de la European Association of Cardio-Thoracic Surgery (EACTS). Rev Esp Cardiol 2021. [DOI: 10.1016/j.recesp.2020.10.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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16
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Taheri Moghadam S, Sadoughi F, Velayati F, Ehsanzadeh SJ, Poursharif S. The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis. BMC Med Inform Decis Mak 2021; 21:98. [PMID: 33691690 PMCID: PMC7944637 DOI: 10.1186/s12911-020-01376-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 12/18/2020] [Indexed: 12/14/2022] Open
Abstract
Background Clinical Decision Support Systems (CDSSs) for Prescribing are one of the innovations designed to improve physician practice performance and patient outcomes by reducing prescription errors. This study was therefore conducted to examine the effects of various CDSSs on physician practice performance and patient outcomes. Methods This systematic review was carried out by searching PubMed, Embase, Web of Science, Scopus, and Cochrane Library from 2005 to 2019. The studies were independently reviewed by two researchers. Any discrepancies in the eligibility of the studies between the two researchers were then resolved by consulting the third researcher. In the next step, we performed a meta-analysis based on medication subgroups, CDSS-type subgroups, and outcome categories. Also, we provided the narrative style of the findings. In the meantime, we used a random-effects model to estimate the effects of CDSS on patient outcomes and physician practice performance with a 95% confidence interval. Q statistics and I2 were then used to calculate heterogeneity. Results On the basis of the inclusion criteria, 45 studies were qualified for analysis in this study. CDSS for prescription drugs/COPE has been used for various diseases such as cardiovascular diseases, hypertension, diabetes, gastrointestinal and respiratory diseases, AIDS, appendicitis, kidney disease, malaria, high blood potassium, and mental diseases. In the meantime, other cases such as concurrent prescribing of multiple medications for patients and their effects on the above-mentioned results have been analyzed. The study shows that in some cases the use of CDSS has beneficial effects on patient outcomes and physician practice performance (std diff in means = 0.084, 95% CI 0.067 to 0.102). It was also statistically significant for outcome categories such as those demonstrating better results for physician practice performance and patient outcomes or both. However, there was no significant difference between some other cases and traditional approaches. We assume that this may be due to the disease type, the quantity, and the type of CDSS criteria that affected the comparison. Overall, the results of this study show positive effects on performance for all forms of CDSSs. Conclusions Our results indicate that the positive effects of the CDSS can be due to factors such as user-friendliness, compliance with clinical guidelines, patient and physician cooperation, integration of electronic health records, CDSS, and pharmaceutical systems, consideration of the views of physicians in assessing the importance of CDSS alerts, and the real-time alerts in the prescription.
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Affiliation(s)
- Sharare Taheri Moghadam
- Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Farahnaz Sadoughi
- Health Management and Economics Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Rashid Yasemi Street, Vali-e Asr Avenue, Tehran, 1996713883, Iran.
| | - Farnia Velayati
- Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Jafar Ehsanzadeh
- School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
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17
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Hindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomström-Lundqvist C, Boriani G, Castella M, Dan GA, Dilaveris PE, Fauchier L, Filippatos G, Kalman JM, La Meir M, Lane DA, Lebeau JP, Lettino M, Lip GYH, Pinto FJ, Thomas GN, Valgimigli M, Van Gelder IC, Van Putte BP, Watkins CL. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J 2021; 42:373-498. [PMID: 32860505 DOI: 10.1093/eurheartj/ehaa612] [Citation(s) in RCA: 5801] [Impact Index Per Article: 1450.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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18
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Geary L, Hasselström J, Carlsson A, Schenck-Gustafsson K, von Euler M. An audit & feedback intervention for improved anticoagulant use in patients with atrial fibrillation in primary care. Int J Cardiol 2020; 310:67-72. [DOI: 10.1016/j.ijcard.2020.04.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 04/03/2020] [Accepted: 04/07/2020] [Indexed: 01/20/2023]
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19
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20
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Kapoor A, Amroze A, Vakil F, Crawford S, Der J, Mathew J, Alper E, Yogaratnam D, Javed S, Elhag R, Lin A, Narayanan S, Bartlett D, Nagy A, Shagoury BK, Fischer MA, Mazor KM, Saczynski JS, Ashburner JM, Lopes R, McManus DD. SUPPORT-AF II: Supporting Use of Anticoagulants Through Provider Profiling of Oral Anticoagulant Therapy for Atrial Fibrillation. Circ Cardiovasc Qual Outcomes 2020; 13:e005871. [DOI: 10.1161/circoutcomes.119.005871] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Previous provider-directed electronic messaging interventions have not by themselves improved anticoagulation use in patients with atrial fibrillation. Direct engagement with providers using academic detailing coupled with electronic messaging may overcome the limitations of the prior interventions.
Methods and Results:
We randomized outpatient providers affiliated with our health system in a 2.5:1 ratio to our electronic profiling/messaging combined with academic detailing intervention. In the intervention, we emailed providers monthly reports of their anticoagulation percentage relative to peers for atrial fibrillation patients with elevated stroke risk (CHA
2
DS
2
-VASc ≥2). We also sent electronic medical record-based messages shortly before an appointment with an anticoagulation-eligible but untreated atrial fibrillation patient. Providers had the option to send responses with explanations for prescribing decisions. We also offered to meet with intervention providers using an academic detailing approach developed based on knowledge gaps discussed in provider focus groups. To assess feasibility, we tracked provider review of our messages. To assess effectiveness, we measured the change in anticoagulation for patients of intervention providers relative to controls. We identified 85 intervention and 34 control providers taking care of 3591 and 1908 patients, respectively; 33 intervention providers participated in academic detailing. More than 80% of intervention providers read our emails, and 98% of the time a provider reviewed our in-basket messages. Replies to messages identified patient refusal as the most common reason for patients not being on anticoagulation (11.2%). For the group of patients not on anticoagulation at baseline assigned to an intervention versus control provider, the adjusted percent increase in the use of anticoagulation over 6 months was 5.2% versus 7.4%, respectively (
P
=0.21).
Conclusions:
Our electronic messaging and academic detailing intervention was feasible but did not increase anticoagulation use. Patient-directed interventions or provider interventions targeting patients declining anticoagulation may be necessary to raise the rate of anticoagulation.
Clinical Trial Registration
URL:
http://www.clinicaltrials.gov
. Unique identifier: NCT03583008.
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Affiliation(s)
- Alok Kapoor
- University of Massachusetts Memorial Health Care, Worcester (A.K., A.A, E.A., R.E., D.D.M.)
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
- Meyers Primary Care Institute, a joint endeavor of University of Massachusetts Medical School, Reliant Medical Group, and Fallon Health, Worcester (A.K., A.A., K.M.M., D.D.M.)
| | - Azraa Amroze
- University of Massachusetts Memorial Health Care, Worcester (A.K., A.A, E.A., R.E., D.D.M.)
- Meyers Primary Care Institute, a joint endeavor of University of Massachusetts Medical School, Reliant Medical Group, and Fallon Health, Worcester (A.K., A.A., K.M.M., D.D.M.)
| | - Fatima Vakil
- Abigail Wexner Research Institute, Nationwide Children’s Hospital, Columbus, OH (F.V.)
| | - Sybil Crawford
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
| | | | - Jomol Mathew
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
| | - Eric Alper
- University of Massachusetts Memorial Health Care, Worcester (A.K., A.A, E.A., R.E., D.D.M.)
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
| | - Dinesh Yogaratnam
- Mass College of Pharmacy and Health Sciences, Worcester, MA (D.Y., D.B.)
| | - Saud Javed
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
| | - Rasha Elhag
- University of Massachusetts Memorial Health Care, Worcester (A.K., A.A, E.A., R.E., D.D.M.)
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
| | - Abraham Lin
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
| | - Siddhartha Narayanan
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
| | - Donna Bartlett
- Mass College of Pharmacy and Health Sciences, Worcester, MA (D.Y., D.B.)
| | - Ahmed Nagy
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
| | - Bevin Kathleen Shagoury
- The National Resource Center for Academic Detailing, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital, Boston, MA (B.K.S., M.A.F.)
| | - Michael A. Fischer
- The National Resource Center for Academic Detailing, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital, Boston, MA (B.K.S., M.A.F.)
| | - Kathleen M. Mazor
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
- Meyers Primary Care Institute, a joint endeavor of University of Massachusetts Medical School, Reliant Medical Group, and Fallon Health, Worcester (A.K., A.A., K.M.M., D.D.M.)
| | - Jane S. Saczynski
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
- Northeastern University, Boston, MA (J.D., J.S.S.)
| | - Jeffrey M. Ashburner
- Division of General Internal Medicine, Massachusetts General Hospital, Boston (J.M.A.)
| | - Renato Lopes
- Duke Clinical Research Institute, Durham, NC (R.L.)
| | - David D. McManus
- University of Massachusetts Memorial Health Care, Worcester (A.K., A.A, E.A., R.E., D.D.M.)
- University of Massachusetts Medical School, Worcester (A.K., S.C., J.M., E.A., S.J., R.E., A.L., S.N., A.N., K.M.M., J.S.S., D.D.M.)
- Meyers Primary Care Institute, a joint endeavor of University of Massachusetts Medical School, Reliant Medical Group, and Fallon Health, Worcester (A.K., A.A., K.M.M., D.D.M.)
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21
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Stanton RJ, Eckman MH, Woo D, Moomaw CJ, Haverbusch M, Flaherty ML, Kleindorfer DO. Ischemic Stroke and Bleeding: Clinical Benefit of Anticoagulation in Atrial Fibrillation After Intracerebral Hemorrhage. Stroke 2020; 51:808-814. [PMID: 32000590 DOI: 10.1161/strokeaha.119.027370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Patients with intracerebral hemorrhage (ICH) and atrial fibrillation (AF) are at risk for ischemic events. While risk calculators (CHA2DS2-VASc and HAS-BLED) have been validated to assess risk for ischemic stroke and major bleeding in AF patients, decisions about anticoagulation must consider the net clinical benefit of anticoagulation. Furthermore, stroke and bleeding risk are highly correlated, making decisions more difficult. Methods- We examined patients in the GERFHS III study (Genetic and Environmental Risk Factors for Hemorrhagic Stroke)-a population-based retrospective study of spontaneous ICH patients without a structural or traumatic cause in the Greater Cincinnati/Northern Kentucky region between July 2008 and December 2012. CHA2DS2-VASc and HAS-B(L)ED (minus L because labile international normalized ratio was unavailable) scores were calculated for ICH patients with AF. Using a Markov state transition model, we estimated net clinical benefit of anticoagulation relative to no treatment in quality-adjusted life years (QALYs). We defined minimal clinically relevant benefit as 0.1 QALYs. Results- Among 1186 cases of spontaneous ICH, 95 cases had AF and met our survival criteria. Within 1 year, 8 of 95 (8%) would be expected to have a major bleeding event on anticoagulation, and 5 of 95 (5%) of patients would be expected to have an ischemic stroke off anticoagulation. Sixty-eight of 95 (71%) patients would have higher risk for major bleeding than for ischemic stroke. Anticoagulation with directly acting anticoagulants would result in no clinically significant gain or loss in 73%. Roughly 12% would gain >0.1 QALYs, and 15% would lose >0.1 QALYs. Among patients receiving aspirin, most have no significant net clinical benefit or loss. Overall, anticoagulation of the entire cohort would result in an aggregate loss of 0.92 QALYs. Conclusions- Our analysis suggests that universal anticoagulation after ICH would be associated with a net loss of QALY. Additional factors should be considered before anticoagulating patients with AF after ICH. Registration- URL: https://www.clinicaltrials.gov. Unique identifier: NCT00930280.
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Affiliation(s)
- Robert J Stanton
- From the Department of Neurology and Rehabilitation Medicine (R.J.S., D.W., C.J.M., M.H., M.L.F., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Mark H Eckman
- Department of Internal Medicine (M.H.E.), University of Cincinnati College of Medicine, OH
| | - Daniel Woo
- From the Department of Neurology and Rehabilitation Medicine (R.J.S., D.W., C.J.M., M.H., M.L.F., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Charles J Moomaw
- From the Department of Neurology and Rehabilitation Medicine (R.J.S., D.W., C.J.M., M.H., M.L.F., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Mary Haverbusch
- From the Department of Neurology and Rehabilitation Medicine (R.J.S., D.W., C.J.M., M.H., M.L.F., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Matthew L Flaherty
- From the Department of Neurology and Rehabilitation Medicine (R.J.S., D.W., C.J.M., M.H., M.L.F., D.O.K.), University of Cincinnati College of Medicine, OH
| | - Dawn O Kleindorfer
- From the Department of Neurology and Rehabilitation Medicine (R.J.S., D.W., C.J.M., M.H., M.L.F., D.O.K.), University of Cincinnati College of Medicine, OH
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Sennesael AL, Krug B, Sneyers B, Spinewine A. Do computerized clinical decision support systems improve the prescribing of oral anticoagulants? A systematic review. Thromb Res 2020; 187:79-87. [PMID: 31972381 DOI: 10.1016/j.thromres.2019.12.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 12/13/2019] [Accepted: 12/28/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Serious adverse drug reactions have been associated with the underuse or the misuse of oral anticoagulant therapy. We systematically reviewed the impact of computerized clinical decision support systems (CDSS) on the prescribing of oral anticoagulants and we described CDSS features associated with success or failure. METHODS We searched Medline, Embase, CENTRAL, CINHAL, and PsycINFO for studies that compared CDSS for the initiation or monitoring of oral anticoagulants with routine care. Two reviewers performed study selection, data collection, and risk-of-bias assessment. Disagreements were resolved with a third reviewer. Potentially important CDSS features, identified from previous literature, were evaluated. RESULTS Sixteen studies were included in our qualitative synthesis. Most trials were performed in primary care (n = 7) or hospitals (n = 6) and included atrial fibrillation (AF) patients (n = 9). Recommendations mainly focused on anticoagulation underuse (n = 11) and warfarin-drug interactions (n = 5). Most CDSS were integrated in electronic records or prescribing and provided support automatically at the time and location of decision-making. Significant improvements in practitioner performance were found in 9 out of 16 studies, while clinical outcomes were poorly reported. CDSS features seemed slightly more common in studies that demonstrated improvement. CONCLUSIONS CDSS might positively impact the use of oral anticoagulants in AF patients at high risk of stroke. The scope of CDSS should now evolve to assist prescribers in selecting the most appropriate and tailored medication. Efforts should nevertheless be made to improve the relevance of notifications and to address implementation outcomes.
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Affiliation(s)
- Anne-Laure Sennesael
- Université catholique de Louvain, Louvain Drug Research Institute, Clinical Pharmacy Research Group, Brussels, Belgium; Université catholique de Louvain, CHU UCL Namur, Department of Pharmacy, Yvoir, Belgium.
| | - Bruno Krug
- Université catholique de Louvain, CHU UCL Namur, Department of Nuclear Medicine, Yvoir, Belgium; Université catholique de Louvain, Institute of Health and Society, Brussels, Belgium
| | - Barbara Sneyers
- Université catholique de Louvain, CHU UCL Namur, Department of Pharmacy, Yvoir, Belgium
| | - Anne Spinewine
- Université catholique de Louvain, Louvain Drug Research Institute, Clinical Pharmacy Research Group, Brussels, Belgium; Université catholique de Louvain, CHU UCL Namur, Department of Pharmacy, Yvoir, Belgium
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Orchard J, Neubeck L, Freedman B, Li J, Webster R, Zwar N, Gallagher R, Ferguson C, Lowres N. eHealth Tools to Provide Structured Assistance for Atrial Fibrillation Screening, Management, and Guideline-Recommended Therapy in Metropolitan General Practice: The AF - SMART Study. J Am Heart Assoc 2020; 8:e010959. [PMID: 30590964 PMCID: PMC6405712 DOI: 10.1161/jaha.118.010959] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
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 CHA2DS2‐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 CHA2DS2‐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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Affiliation(s)
- Jessica Orchard
- 1 Faculty of Medicine & Health The University of Sydney Australia.,2 Heart Research Institute Charles Perkins Centre The University of Sydney Australia
| | - Lis Neubeck
- 3 Edinburgh Napier University Edinburgh United Kingdom
| | - Ben Freedman
- 2 Heart Research Institute Charles Perkins Centre The University of Sydney Australia
| | - Jialin Li
- 2 Heart Research Institute Charles Perkins Centre The University of Sydney Australia
| | - Ruth Webster
- 4 The George Institute for Global Health University of New South Wales Sydney Australia
| | - Nicholas Zwar
- 5 University of New South Wales Sydney New South Wales Australia
| | - Robyn Gallagher
- 1 Faculty of Medicine & Health The University of Sydney Australia
| | - Caleb Ferguson
- 6 Western Sydney Nursing & Midwifery Research Centre Western Sydney University Sydney Australia
| | - Nicole Lowres
- 2 Heart Research Institute Charles Perkins Centre The University of Sydney Australia
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Uptake of a primary care atrial fibrillation screening program (AF-SMART): a realist evaluation of implementation in metropolitan and rural general practice. BMC FAMILY PRACTICE 2019; 20:170. [PMID: 31810441 PMCID: PMC6896363 DOI: 10.1186/s12875-019-1058-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 11/22/2019] [Indexed: 11/17/2022]
Abstract
Background Screening for atrial fibrillation (AF) in people aged ≥65 years is recommended by international guidelines. The Atrial Fibrillation Screen, Management And guideline-Recommended Therapy (AF-SMART) studies of opportunistic AF screening in 16 metropolitan and rural general practices were conducted from November 2016–June 2019. These studies trialled custom-designed eHealth tools to support all stages of AF screening in general practice. Methods A realist evaluation of the AF-SMART studies, which aimed to explain the circumstances in which the program worked (or not) to increase the proportion of people screened for AF. The initial program theory was based on our previous research, policy documents and screening studies. To test this, we conducted 45 semi-structured interviews with general practitioners (GPs), nurses and practice managers across all participating practices, and collected observational and quantitative screening data. These data were analysed and interpreted to refine the program theory. Results GPs/nurses liked the eHealth tools, although technical problems sometimes disrupted screening. Time was the main barrier to screening for GPs/nurses, so systems need to be very efficient. Practices with leadership from a senior GP ‘screening champion’ had broader uptake, especially from the nursing team. Providing regular feedback on screening data was beneficial for quality improvement and motivation. Clear protocols for follow-up of abnormal results were required for successful nurse-led screening in a hierarchical system. Participation in the program had broader benefits of improving AF knowledge and raising the profile of cardiovascular health in the practice. Screening for a shorter, more intense period (eg during influenza vaccination) worked well for practices where sufficient staff time was allocated. Conclusions Introducing an AF screening program is likely to be successful in contexts where there is a senior GP ‘screening champion’, a clear protocol exists for abnormal results, and there is regular data reporting to staff. These contexts link to mechanisms around motivation, leadership, empowerment of nurses, and efficient screening systems. The contexts and mechanisms contribute to the longer-term outcomes of increasing the proportion of people screened and treated for AF, which is recommended by guidelines as a key strategy for the prevention of AF-related stroke. Trial registrations AF SMART (metropolitan): ACTRN12616000850471 (Australia New Zealand Clinical Trials Registry). AF SMART II (rural): ACTRN12618000004268 (Australia New Zealand Clinical Trials Registry).
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25
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Adeleke Y, Matthew D, Porter B, Woodcock T, Yap J, Hashmy S, Mathew A, Grant R, Kaba A, Unger-Graeber B, Khan S, Bell D, Cowie MR. Improving the quality of care for patients with or at risk of atrial fibrillation: an improvement initiative in UK general practices. Open Heart 2019; 6:e001086. [PMID: 31673388 PMCID: PMC6802985 DOI: 10.1136/openhrt-2019-001086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 06/25/2019] [Accepted: 09/11/2019] [Indexed: 11/19/2022] Open
Abstract
Objective Atrial fibrillation (AF) is a growing problem internationally and a recognised cause of cardiovascular morbidity and mortality. The London borough of Hounslow has a lower than expected prevalence of AF, suggesting poor detection and associated undertreatment. To improve AF diagnosis and management, a quality improvement (QI) initiative was set up in 48 general practices in Hounslow. We aimed to study whether there was evidence of a change in AF diagnosis and management in Hounslow following implementation of interventions in this QI initiative. Methods Using the general practice information system (SystmOne), data were retrospectively collected for 415 626 patients, who were actively registered at a Hounslow practice between 1 January 2011 and 31 August 2018. Process, outcome and balancing measures were analysed using statistical process control and interrupted time series regression methods. The baseline period was from 1 January 2011 to 30 September 2014 and the intervention period was from 1 October 2014 to 31 August 2018. Results When comparing the baseline to the intervention period, (1) the rate of new AF diagnoses increased by 27% (relative risk 1.27; 95% CI 1.05 to 1.52; p<0.01); (2) ECG tests done for patients aged 60 and above increased; (3) CHA2DS2-VASc and HAS-BLED risk assessments within 30 days of AF diagnosis increased from 1.7% to 19% and 0.2% to 8.1%, respectively; (4) among those at higher risk of stroke, anticoagulation prescription within 30 days of AF diagnosis increased from 31% to 63% while prescription of antiplatelet monotherapy within the same time period decreased from 17% to 7.1%; and (5) average CHA2DS2-VASc and HAS-BLED risk scores did not change. Conclusion Implementation of interventions in the Hounslow QI initiative coincided with improved AF diagnosis and management. Areas with perceived underdetection of AF should consider similar interventions and methodology.
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Affiliation(s)
- Yewande Adeleke
- Department of Primary Care and Public Health, Imperial College London, Chelsea and Westminster Hospital, NIHR Collaboration for Leadership in Applied Health Research and Care for Northwest London, London, UK
| | - Dionne Matthew
- Department of Primary Care and Public Health, Imperial College London, Chelsea and Westminster Hospital, NIHR Collaboration for Leadership in Applied Health Research and Care for Northwest London, London, UK.,Chelsea and Westminster Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | - Bradley Porter
- Cardiology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.,St Thomas' Hospital, King's College London, London, UK
| | - Thomas Woodcock
- Department of Primary Care and Public Health, Imperial College London, Chelsea and Westminster Hospital, NIHR Collaboration for Leadership in Applied Health Research and Care for Northwest London, London, UK
| | - Jayne Yap
- Department of Primary Care and Public Health, Imperial College London, Chelsea and Westminster Hospital, NIHR Collaboration for Leadership in Applied Health Research and Care for Northwest London, London, UK.,Clinical Quality, Performance and Technology, Government of Singapore Ministry of Health, Outram, Singapore
| | - Sophia Hashmy
- North West London Clinical Commissioning Groups, London, UK
| | - Ammu Mathew
- Cardiology Department, West Middlesex University Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | - Ron Grant
- Upbeat Heart Prevention and Support Group, London, UK
| | - Agnes Kaba
- Cardiology Department, West Middlesex University Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | | | - Sadia Khan
- Cardiology Department, West Middlesex University Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | - Derek Bell
- Chelsea and Westminster Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | - Martin R Cowie
- National Heart and Lung Institute, Imperial College London, London, UK
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Electronic physician notifications to improve guideline-based anticoagulation in atrial fibrillation: a randomized controlled trial. J Gen Intern Med 2018; 33:2070-2077. [PMID: 30076573 PMCID: PMC6258628 DOI: 10.1007/s11606-018-4612-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 06/20/2018] [Accepted: 07/18/2018] [Indexed: 11/27/2022]
Abstract
BACKGROUND Oral anticoagulants reduce the risk of stroke in patients with atrial fibrillation. However, many patients with atrial fibrillation at elevated stroke risk are not treated with oral anticoagulants. OBJECTIVE To test whether electronic notifications sent to primary care physicians increase the proportion of ambulatory patients prescribed oral anticoagulants. DESIGN Randomized controlled trial conducted from February to May 2017 within 18 practices in an academic primary care network. PARTICIPANTS Primary care physicians (n = 175) and their patients with atrial fibrillation, at elevated stroke risk, and not prescribed oral anticoagulants. INTERVENTION Patients of each physician were randomized to the notification or usual care arm. Physicians received baseline email notifications and up to three reminders with patient information, educational material and primary care guidelines for anticoagulation management, and surveys in the notification arm. MAIN MEASURES The primary outcome was the proportion of patients prescribed oral anticoagulants at 3 months in the notification (n = 972) vs. usual care (n = 1364) arms, compared using logistic regression with clustering by physician. Secondary measures included survey-based physician assessment of reasons why patients were not prescribed oral anticoagulants and how primary care physicians might be influenced by the notification. KEY RESULTS Over 3 months, a small proportion of patients were newly prescribed oral anticoagulants with no significant difference in the notification (3.9%, 95% CI 2.8-5.3%) and usual care (3.2%, 95% CI 2.4-4.2%) arms (p = 0.37). The most common, non-exclusive reasons why patients were not on oral anticoagulants included atrial fibrillation was transient (30%) or paroxysmal (12%), patient/family declined (22%), high bleeding risk (20%), fall risk (19%), and frailty (10%). For 95% of patients, physicians stated they would not change their management after reviewing the alert. CONCLUSIONS Electronic physician notification did not increase anticoagulation in patients with atrial fibrillation at elevated stroke risk. Primary care physicians did not prescribe anticoagulants because they perceived the bleeding risk was too high or stroke risk was too low. TRIAL REGISTRATION ClinicalTrials.gov identifier NCT02950285.
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27
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Orchard JJ, Neubeck L, Freedman B, Webster R, Patel A, Gallagher R, Li J, Hespe CM, Ferguson C, Zwar N, Lowres N. Atrial Fibrillation Screen, Management And Guideline Recommended Therapy (AF SMART II) in the rural primary care setting: an implementation study protocol. BMJ Open 2018; 8:e023130. [PMID: 30385444 PMCID: PMC6252758 DOI: 10.1136/bmjopen-2018-023130] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Screening for atrial fibrillation (AF) in people ≥65 years is now recommended by guidelines and expert consensus. While AF is often asymptomatic, it is the most common heart arrhythmia and is associated with increased risk of stroke. Early identification and treatment with oral anticoagulants can substantially reduce stroke risk. The general practice setting is ideal for opportunistic screening and provides a natural pathway for treatment for those identified.This study aims to investigate the feasibility of implementing screening for AF in rural general practice using novel electronic tools. It will assess whether screening will fit within an existing workflow to quickly and accurately identify AF, and will potentially inform a generalisable, scalable approach. METHODS AND ANALYSIS Screening with a smartphone ECG will be conducted by general practitioners and practice nurses in rural general practices in New South Wales, Australia for 3-4 months during 2018-2019. Up to 10 practices will be recruited, and we aim to screen 2000 patients aged ≥65 years. Practices will be given an electronic screening prompt and electronic decision support to guide evidence-based treatment for those with AF. De-identified data will be collected using a clinical audit tool and qualitative interviews will be conducted with selected practice staff. A process evaluation and cost-effectiveness analysis will also be undertaken. Outcomes include implementation success (proportion of eligible patients screened, fidelity to protocol), proportion of people screened identified with new AF and rates of treatment with anticoagulants and antiplatelets at baseline and completion. Results will be compared against an earlier metropolitan study and a 'control' dataset of practices. ETHICS AND DISSEMINATION Ethics approval was received from the University of Sydney Human Research Ethics Committee on 27 February 2018 (Project no.: 2017/1017). Results will be disseminated through various forums, including peer-reviewed publication and conference presentations. TRIAL REGISTRATION NUMBER ACTRN12618000004268; Pre-results.
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Affiliation(s)
- Jessica J Orchard
- Sydney Medical School and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Lis Neubeck
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Ben Freedman
- Sydney Medical School and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, Sydney, New South Wales, Australia
| | - Ruth Webster
- The George Institute for Global Health, University of New South Wales, Newtown, New South Wales, Australia
| | - Anushka Patel
- The George Institute for Global Health, University of New South Wales, Newtown, New South Wales, Australia
| | - Robyn Gallagher
- Sydney Nursing School, University of Sydney, Sydney, New South Wales, Australia
| | - Jialin Li
- Sydney Nursing School, University of Sydney, Sydney, New South Wales, Australia
| | - Charlotte Mary Hespe
- General Practice Research, School of Medicine, The University of Notre Dame, Sydney, New South Wales, Australia
| | - Caleb Ferguson
- Western Sydney Nursing and Midwifery Centre, Western Sydney University and Western Sydney Local Health District, Sydney, New South Wales, Australia
| | - Nicholas Zwar
- School of Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia
| | - Nicole Lowres
- Sydney Medical School and Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
- Heart Research Institute, Sydney, New South Wales, Australia
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Collins-Yoder A, Collins RE. Periprocedural Considerations for Anticoagulated Atrial Fibrillation Patients. J Perianesth Nurs 2018; 34:227-239. [PMID: 30245032 DOI: 10.1016/j.jopan.2018.05.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2017] [Revised: 04/17/2018] [Accepted: 05/09/2018] [Indexed: 11/19/2022]
Abstract
Periprocedural patient instruction and coordination is an important piece in achieving safe outcomes for patients needing procedures and receiving anticoagulants for atrial fibrillation. Balancing the needs for anticoagulation versus bleeding during the procedure requires clinical reasoning and preparation. In this article, the current guidelines for use of anticoagulants with atrial fibrillation, the relevant pharmacology, and the use of standardized tools to quantify the risks of thrombus or bleeding in the procedures will be discussed. In addition, resources for examining the optimal practice for these case types will be provided. Perianesthesia health care providers are pivotal to lead relevant stakeholders in the perianesthesia setting work together to create protocols and individual plans of care for this patient population.
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29
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Effectiveness of CHA 2DS 2-VASc based decision support on stroke prevention in atrial fibrillation: A cluster randomised trial in general practice. Int J Cardiol 2018; 273:123-129. [PMID: 30224261 DOI: 10.1016/j.ijcard.2018.08.096] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 08/23/2018] [Accepted: 08/30/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND Guidelines on atrial fibrillation (AF) recommend the CHA2DS2-VASc rule for anticoagulant decision-making, but underuse exists. We studied the impact of an automated decision support on stroke prevention in patients with AF in a cluster randomised trial in general practice. METHODS Intervention practices were provided with a CHA2DS2-VASc based anticoagulant treatment recommendation. Reference practices provided care as usual. The primary outcome was incidence of ischaemic stroke, transient ischaemic attack (TIA) and/or thromboembolism (TE). Secondary outcomes were bleeding and the proportion of patients on guideline recommended anticoagulant treatment. RESULTS In total, 1129 AF patients were included in the 19 intervention practices and 1226 AF patients in the 19 reference practices. The median age was 77 (interquartile range (IQR) 68-75) years, the median CHA2DS2-VASc score was 3.0 (IQR 2.0-5.0). Underuse of anticoagulants in patients with CHA2DS2-VASc score ≥ 2 was 6.6%. After a median follow-up of 2.7 years (IQR 2.3-3.0), the incidence rate per 100 person-years of ischaemic stroke/TIA/TE was 1.96 in the intervention group and 1.42 in the reference group (hazard ratio (HR) 1.3, 95% C.I. 0.8-2.1). No difference was observed in the rate of bleeding (0.79 versus 0.82), or in the underuse (7.2% versus 8.2%) or overuse (8.0% versus 7.9%) of anticoagulation. CONCLUSIONS In this study in patients with AF in general practice, underuse of anticoagulants was relatively low. Providing practitioners with CHA2DS2-VASc based decision support did not result in a reduction in stroke incidence, affect bleeding risk or anticoagulant over- or underuse.
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30
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Shared decision-making tool for thromboprophylaxis in atrial fibrillation - A feasibility study. Am Heart J 2018; 199:13-21. [PMID: 29754650 DOI: 10.1016/j.ahj.2018.01.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 01/04/2018] [Indexed: 11/24/2022]
Abstract
BACKGROUND Appropriate thromboprophylaxis for patients with atrial fibrillation or atrial flutter (AF) remains a national challenge. METHODS We hypothesized that a shared decision-making interaction facilitated by an Atrial Fibrillation Shared Decision Making Tool (AFSDM) would improve patient knowledge about atrial fibrillation, and the risks and benefits of various treatment options for stroke prevention; increase satisfaction with the decision-making process; improve the therapeutic alliance between patient and the clinical care team; and increase medication adherence. Using a pre- and post-visit study design, we enrolled 76 patients and completed 2 office visits and 1-month telephone follow-up for 65 patients being seen in our Arrhythmia Clinic over the 1-year period (July 2016 through June 2017). Our primary outcome measure was change in decisional conflict between the first and second clinical visit. RESULTS Decisional conflict decreased from an average of 31 to 9. Mean change was 22.3 (95% CI, 25.7 - 37.1), corresponding to an effect size of 0.94 standard deviations. Satisfaction with decision increased from 4.0 to 4.5, measures of therapeutic alliance with the care team (Kim Alliance scale) increased from 100.1 to 103.1, and satisfaction with provider increased from 4.2 to 4.5 (P < .0001 for all measures). AF knowledge assessment scores increased from 8.4 to 9.1, and knowledge about personal stroke and bleeding risk increased from 1 to 1.5 (P < .0001). Finally, medication adherence improved as reflected by an increase in the Morisky Medication Adherence scale from 5.9 to 6.4 (P < .0001). CONCLUSIONS A shared decision-making interaction, facilitated by an AFSDM can significantly improve multiple measures of decision-making quality, leading to improved medication adherence and patient satisfaction.
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31
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Vinson DR, Warton EM, Mark DG, Ballard DW, Reed ME, Chettipally UK, Singh N, Bouvet SZ, Kea B, Ramos PC, Glaser DS, Go AS. Thromboprophylaxis for Patients with High-risk Atrial Fibrillation and Flutter Discharged from the Emergency Department. West J Emerg Med 2018; 19:346-360. [PMID: 29560065 PMCID: PMC5851510 DOI: 10.5811/westjem.2017.9.35671] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 08/23/2017] [Accepted: 09/05/2017] [Indexed: 12/18/2022] Open
Abstract
Introduction Many patients with atrial fibrillation or atrial flutter (AF/FL) who are high risk for ischemic stroke are not receiving evidence-based thromboprophylaxis. We examined anticoagulant prescribing within 30 days of receiving dysrhythmia care for non-valvular AF/FL in the emergency department (ED). Methods This prospective study included non-anticoagulated adults at high risk for ischemic stroke (ATRIA score ≥7) who received emergency AF/FL care and were discharged home from seven community EDs between May 2011 and August 2012. We characterized oral anticoagulant prescribing patterns and identified predictors of receiving anticoagulants within 30 days of the index ED visit. We also describe documented reasons for withholding anticoagulation. Results Of 312 eligible patients, 128 (41.0%) were prescribed anticoagulation at ED discharge or within 30 days. Independent predictors of anticoagulation included age (adjusted odds ratio [aOR] 0.89 per year, 95% confidence interval [CI] 0.82–0.96); ED cardiology consultation (aOR 1.89, 95% CI [1.10–3.23]); and failure of sinus restoration by time of ED discharge (aOR 2.65, 95% CI [1.35–5.21]). Reasons for withholding anticoagulation at ED discharge were documented in 139 of 227 cases (61.2%), the most common of which were deferring the shared decision-making process to the patient’s outpatient provider, perceived bleeding risk, patient refusal, and restoration of sinus rhythm. Conclusion Approximately 40% of non-anticoagulated AF/FL patients at high risk for stroke who presented for emergency dysrhythmia care were prescribed anticoagulation within 30 days. Physicians were less likely to anticoagulate older patients and those with ED sinus restoration. Opportunities exist to improve rates of thromboprophylaxis in this high-risk population.
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Affiliation(s)
- David R Vinson
- The Permanente Medical Group, Oakland, California.,Kaiser Permanente, Division of Research, Oakland, California.,Kaiser Permanente Sacramento Medical Center, Department of Emergency Medicine, Sacramento, California
| | | | - Dustin G Mark
- The Permanente Medical Group, Oakland, California.,Kaiser Permanente, Division of Research, Oakland, California.,Kaiser Permanente Oakland Medical Center, Department of Emergency Medicine, Oakland, California
| | - Dustin W Ballard
- The Permanente Medical Group, Oakland, California.,Kaiser Permanente, Division of Research, Oakland, California.,Kaiser Permanente San Rafael Medical Center, Department of Emergency Medicine, San Rafael, California
| | - Mary E Reed
- Kaiser Permanente, Division of Research, Oakland, California
| | - Uli K Chettipally
- The Permanente Medical Group, Oakland, California.,Kaiser Permanente South San Francisco Medical Center, Department of Emergency Medicine, San Francisco, California
| | - Nimmie Singh
- Mercy Redding Family Practice Residency Program, Redding, California
| | - Sean Z Bouvet
- The Permanente Medical Group, Oakland, California.,Kaiser Permanente Walnut Creek Medical Center, Department of Emergency Medicine, Walnut Creek, California
| | - Bory Kea
- Oregon Health and Science University, Department of Emergency Medicine, Portland, Oregon
| | - Patricia C Ramos
- Kaiser Permanente Sunnyside Medical Center, Northwest Permanente Physicians and Surgeons, Department of Emergency Medicine, Portland, Oregon
| | - David S Glaser
- Sisters of Charity of Leavenworth St. Joseph Hospital, Department of Emergency Medicine, Denver, Colorado
| | - Alan S Go
- The Permanente Medical Group, Oakland, California.,Kaiser Permanente, Division of Research, Oakland, California.,University of California, San Francisco, Departments of Epidemiology, Biostatistics, and Medicine, San Francisco, California.,Stanford University School of Medicine, Department of Health Research and Policy, Palo Alto, California
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Sheibani R, Sheibani M, Heidari-Bakavoli A, Abu-Hanna A, Eslami S. The Effect of a Clinical Decision Support System on Improving Adherence to Guideline in the Treatment of Atrial Fibrillation: An Interrupted Time Series Study. J Med Syst 2017; 42:26. [PMID: 29273997 DOI: 10.1007/s10916-017-0881-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 12/13/2017] [Indexed: 11/26/2022]
Abstract
To evaluate the effect of a computerized Decision Support System (CDSS) on improving adherence to an anticoagulation guideline for the treatment of atrial fibrillation (AF). This study had an interrupted time series design. The adherence to the guideline was assessed at fortnightly (two weeks) intervals from January 2016 to January 2017, 6 months before and 6 months after intervention. Newly diagnosed patients with AF were included in the offices of ten cardiologists. Stroke and major bleeding risks were calculated by the CDSS which was implemented via a mobile application. Treatment recommendations based on the guideline were shown to cardiologists. The segmented regression model was used to evaluate the effect of CDSS on level and trend of guideline adherence for the treatment of AF. In our analysis, 373 patients were included. The trend of adherence to the anticoagulation guideline for the treatment of AF was stable in the pre-intervention phase. After the CDSS intervention, mean of the adherence to the guideline significantly increased from 48% to 65.5% (P-value < 0.0001). The trend of adherence to the guideline was stable in the post-intervention phase. Our results showed that the CDSS can improve adherence to the anticoagulation guideline for the treatment of AF. Registration ID: IRCT2016052528070N1.
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Affiliation(s)
- Reza Sheibani
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Mehdi Sheibani
- Cardiovascular Research Center, Shahid Beheshti University of Medical Science, Tehran, Iran
| | | | - Ameen Abu-Hanna
- Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Saeid Eslami
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
- Department of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
- Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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Guo Y, Chen Y, Lane DA, Liu L, Wang Y, Lip GYH. Mobile Health Technology for Atrial Fibrillation Management Integrating Decision Support, Education, and Patient Involvement: mAF App Trial. Am J Med 2017; 130:1388-1396.e6. [PMID: 28847546 DOI: 10.1016/j.amjmed.2017.07.003] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 07/01/2017] [Accepted: 07/03/2017] [Indexed: 01/04/2023]
Abstract
BACKGROUND Mobile Health technology for the management of patients with atrial fibrillation is unknown. METHODS The simple mobile AF (mAF) App was designed to incorporate clinical decision-support tools (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age ≥75 years, Diabetes Mellitus, Prior Stroke or TIA, Vascular disease, Age 65-74 years, Sex category], HAS-BLED [Hypertension, Abnormal renal/liver function, Stroke, Bleeding history or predisposition, Labile INR, Elderly, Drugs/alcohol concomitantly], SAMe-TT2R2 [Sex, Age <60 years, Medical history, Treatment, Tobacco use, Race] scores), educational materials, and patient involvement strategies with self-care protocols and structured follow-up. Patients with atrial fibrillation were randomized into 2 groups (mAF App vs usual care) in a cluster randomized design pilot study. Patients' knowledge, quality of life, drug adherence, and anticoagulation satisfaction were evaluated at baseline, 1 month, and 3 months. Usability, feasibility, and acceptability of the mAF App were assessed at 1 month. RESULTS A total of 113 patients were randomized to mAF App intervention (mean age, 67.4 years; 57.5% were male; mean follow-up, 69 days), and 96 patients were randomized to usual care (mean age, 70.9 years; 55.2% were male; mean follow-up, 95 days). More than 90% of patients reported that the mAF App was easy, user-friendly, helpful, and associated with significant improvements in knowledge compared with the usual care arm (P values for trend <.05). Drug adherence and anticoagulant satisfaction were significantly better with the mAF App versus usual care (all P < .05). Quality of life scores were significantly increased in the mAF App arm versus usual care, with anxiety and depression reduced (all P < .05). CONCLUSIONS The pilot mAFA Trial is the first prospective randomized trial of Mobile Health technology in patients with atrial fibrillation, demonstrating that the mAF App, integrating clinical decision support, education, and patient-involvement strategies, significantly improved knowledge, drug adherence, quality of life, and anticoagulation satisfaction.
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Affiliation(s)
- Yutao Guo
- Chinese PLA General Hospital, Beijing, China
| | - Yundai Chen
- Chinese PLA General Hospital, Beijing, China.
| | - Deirdre A Lane
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom; Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Lihong Liu
- Meishan City People's Hospital, Chendgdu, China
| | - Yutang Wang
- Chinese PLA General Hospital, Beijing, China
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Eckman MH, Costea A, Attari M, Munjal J, Wise RE, Knochelmann C, Flaherty ML, Baker P, Ireton R, Harnett BM, Leonard AC, Steen D, Rose A, Kues J. Atrial fibrillation decision support tool: Population perspective. Am Heart J 2017; 194:49-60. [PMID: 29223435 PMCID: PMC5726779 DOI: 10.1016/j.ahj.2017.08.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 08/21/2017] [Indexed: 01/09/2023]
Abstract
BACKGROUND Appropriate thromboprophylaxis for patients with atrial fibrillation or atrial flutter (AF) remains a national challenge. The recent availability of direct oral anticoagulants (DOACs) with comparable efficacy and improved safety compared with warfarin alters the balance between risk factors for stroke and benefit of anticoagulation. Our objective was to examine the impact of DOACs as an alternative to warfarin on the net benefit of oral anticoagulant therapy (OAT) in a real-world population of AF patients. METHODS This is a retrospective cohort study of patients with paroxysmal or persistent nonvalvular AF. We updated an Atrial Fibrillation Decision Support Tool (AFDST) to include DOACs as treatment options. The tool generates patient-specific recommendations based upon individual patient risk factor profiles for stroke and major bleeding using quality-adjusted life-years (QALYs) calculated for each treatment strategy by a decision analytic model. The setting included inpatient and ambulatory sites in an academic health center in the midwestern United States. The study involved 5,121 adults with nonvalvular AF seen for any ambulatory visit or inpatient hospitalization over the 1-year period (January through December 2016). Outcome measure was net clinical benefit in QALYs. RESULTS When DOACs are a therapeutic option, the AFDST recommends OAT for 4,134 (81%) patients and no antithrombotic therapy or aspirin for 489 (9%). A strong recommendation for OAT could not be made in 498 (10%) patients. When warfarin is the only option, OAT is recommended for 3,228 (63%) patients and no antithrombotic therapy or aspirin for 973 (19%). A strong recommendation for OAT could not be made in 920 (18%) patients. In total, 1,508 QALYs could be gained if treatment were changed to that recommended by the AFDST. CONCLUSIONS Availability of DOACs increases the proportion of patients for whom oral anticoagulation therapy is recommended in a real-world cohort of AF patients and increased projected QALYs by more than 1,500 when all patients are receiving thromboprophylaxis as recommended by the AFDST compared with current treatment.
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Affiliation(s)
- Mark H Eckman
- Division of General Internal Medicine and Center for Clinical Effectiveness, University of Cincinnati, Cincinnati, OH; Center for Health Informatics, University of Cincinnati, Cincinnati, OH.
| | - Alexandru Costea
- Division of Cardiology, University of Cincinnati, Cincinnati, OH
| | - Mehran Attari
- Division of Cardiology, University of Cincinnati, Cincinnati, OH
| | - Jitender Munjal
- Division of Cardiology, University of Cincinnati, Cincinnati, OH
| | - Ruth E Wise
- Division of General Internal Medicine and Center for Clinical Effectiveness, University of Cincinnati, Cincinnati, OH
| | | | | | - Pete Baker
- Center for Health Informatics, University of Cincinnati, Cincinnati, OH
| | - Robert Ireton
- Center for Health Informatics, University of Cincinnati, Cincinnati, OH
| | - Brett M Harnett
- Center for Health Informatics, University of Cincinnati, Cincinnati, OH
| | - Anthony C Leonard
- Department of Family and Community Medicine, University of Cincinnati, Cincinnati, OH
| | - Dylan Steen
- Division of Cardiology, University of Cincinnati, Cincinnati, OH
| | - Adam Rose
- Division of General Internal Medicine and Center for Clinical Effectiveness, University of Cincinnati, Cincinnati, OH
| | - John Kues
- Department of Family and Community Medicine, University of Cincinnati, Cincinnati, OH
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Freedman B, Camm J, Calkins H, Healey JS, Rosenqvist M, Wang J, Albert CM, Anderson CS, Antoniou S, Benjamin EJ, Boriani G, Brachmann J, Brandes A, Chao TF, Conen D, Engdahl J, Fauchier L, Fitzmaurice DA, Friberg L, Gersh BJ, Gladstone DJ, Glotzer TV, Gwynne K, Hankey GJ, Harbison J, Hillis GS, Hills MT, Kamel H, Kirchhof P, Kowey PR, Krieger D, Lee VWY, Levin LÅ, Lip GYH, Lobban T, Lowres N, Mairesse GH, Martinez C, Neubeck L, Orchard J, Piccini JP, Poppe K, Potpara TS, Puererfellner H, Rienstra M, Sandhu RK, Schnabel RB, Siu CW, Steinhubl S, Svendsen JH, Svennberg E, Themistoclakis S, Tieleman RG, Turakhia MP, Tveit A, Uittenbogaart SB, Van Gelder IC, Verma A, Wachter R, Yan BP, Al Awwad A, Al-Kalili F, Berge T, Breithardt G, Bury G, Caorsi WR, Chan NY, Chen SA, Christophersen I, Connolly S, Crijns H, Davis S, Dixen U, Doughty R, Du X, Ezekowitz M, Fay M, Frykman V, Geanta M, Gray H, Grubb N, Guerra A, Halcox J, Hatala R, Heidbuchel H, Jackson R, Johnson L, Kaab S, Keane K, Kim YH, Kollios G, Løchen ML, Ma C, Mant J, Martinek M, Marzona I, Matsumoto K, McManus D, Moran P, Naik N, Ngarmukos T, Prabhakaran D, Reidpath D, Ribeiro A, Rudd A, Savalieva I, Schilling R, Sinner M, Stewart S, Suwanwela N, Takahashi N, Topol E, Ushiyama S, Verbiest van Gurp N, Walker N, Wijeratne T. Screening for Atrial Fibrillation. Circulation 2017; 135:1851-1867. [DOI: 10.1161/circulationaha.116.026693] [Citation(s) in RCA: 369] [Impact Index Per Article: 46.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Approximately 10% of ischemic strokes are associated with atrial fibrillation (AF) first diagnosed at the time of stroke. Detecting asymptomatic AF would provide an opportunity to prevent these strokes by instituting appropriate anticoagulation. The AF-SCREEN international collaboration was formed in September 2015 to promote discussion and research about AF screening as a strategy to reduce stroke and death and to provide advocacy for implementation of country-specific AF screening programs. During 2016, 60 expert members of AF-SCREEN, including physicians, nurses, allied health professionals, health economists, and patient advocates, were invited to prepare sections of a draft document. In August 2016, 51 members met in Rome to discuss the draft document and consider the key points arising from it using a Delphi process. These key points emphasize that screen-detected AF found at a single timepoint or by intermittent ECG recordings over 2 weeks is not a benign condition and, with additional stroke factors, carries sufficient risk of stroke to justify consideration of anticoagulation. With regard to the methods of mass screening, handheld ECG devices have the advantage of providing a verifiable ECG trace that guidelines require for AF diagnosis and would therefore be preferred as screening tools. Certain patient groups, such as those with recent embolic stroke of uncertain source (ESUS), require more intensive monitoring for AF. Settings for screening include various venues in both the community and the clinic, but they must be linked to a pathway for appropriate diagnosis and management for screening to be effective. It is recognized that health resources vary widely between countries and health systems, so the setting for AF screening should be both country- and health system-specific. Based on current knowledge, this white paper provides a strong case for AF screening now while recognizing that large randomized outcomes studies would be helpful to strengthen the evidence base.
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Affiliation(s)
- Ben Freedman
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - John Camm
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Hugh Calkins
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Jeffrey S. Healey
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Mårten Rosenqvist
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Jiguang Wang
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Christine M. Albert
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Craig S. Anderson
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Sotiris Antoniou
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Emelia J. Benjamin
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Giuseppe Boriani
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Johannes Brachmann
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Axel Brandes
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Tze-Fan Chao
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - David Conen
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Johan Engdahl
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Laurent Fauchier
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - David A. Fitzmaurice
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Leif Friberg
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Bernard J. Gersh
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - David J. Gladstone
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Taya V. Glotzer
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Kylie Gwynne
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Graeme J. Hankey
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Joseph Harbison
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Graham S. Hillis
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Mellanie T. Hills
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Hooman Kamel
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Paulus Kirchhof
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Peter R. Kowey
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Derk Krieger
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Vivian W. Y. Lee
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Lars-Åke Levin
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Gregory Y. H. Lip
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Trudie Lobban
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Nicole Lowres
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Georges H. Mairesse
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Carlos Martinez
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Lis Neubeck
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Jessica Orchard
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Jonathan P. Piccini
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Katrina Poppe
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Tatjana S. Potpara
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Helmut Puererfellner
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Michiel Rienstra
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Roopinder K. Sandhu
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Renate B. Schnabel
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Chung-Wah Siu
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Steven Steinhubl
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Jesper H. Svendsen
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Emma Svennberg
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Sakis Themistoclakis
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Robert G. Tieleman
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Mintu P. Turakhia
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Arnljot Tveit
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Steven B. Uittenbogaart
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Isabelle C. Van Gelder
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Atul Verma
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Rolf Wachter
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
| | - Bryan P. Yan
- From Heart Research Institute, Charles Perkins Centre, and Concord Hospital Cardiology, University of Sydney, Australia (B.F.); St Georges Hospital, London, UK (J.C.); Johns Hopkins University, Baltimore, MD (H.C.); Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (J.S.H., D.C.); Karolinska Institute, Stockholm, Sweden (M.R., J.E., L.F., E.S.); The Shanghai Institute of Hypertension, Ruijin Hospital, Jiaotong University School of Medicine, China (J.W.); Brigham
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36
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Orchard J, Lowres N, Freedman SB, Ladak L, Lee W, Zwar N, Peiris D, Kamaladasa Y, Li J, Neubeck L. Screening for atrial fibrillation during influenza vaccinations by primary care nurses using a smartphone electrocardiograph (iECG): A feasibility study. Eur J Prev Cardiol 2016; 23:13-20. [DOI: 10.1177/2047487316670255] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Jessica Orchard
- Sydney Nursing School, Charles Perkins Centre, University of Sydney, Australia
- Sydney Medical School, University of Sydney, Australia
| | - Nicole Lowres
- Sydney Nursing School, Charles Perkins Centre, University of Sydney, Australia
| | - S Ben Freedman
- Sydney Medical School, University of Sydney, Australia
- Cardiology Department, Concord Repatriation General Hospital, University of Sydney, Australia
- Anzac Research Institute, Sydney, Australia
- Heart Research Institute, Charles Perkins Centre, University of Sydney, Australia
| | - Laila Ladak
- Sydney Nursing School, Charles Perkins Centre, University of Sydney, Australia
| | - William Lee
- Victor Chang Cardiac Research Institute, Sydney, Australia
| | - Nicholas Zwar
- School of Public Health and Community Medicine, University of New South Wales, Australia
| | - David Peiris
- The George Institute for Global Health, Sydney, Australia
| | | | - Jialin Li
- Sydney Nursing School, Charles Perkins Centre, University of Sydney, Australia
| | - Lis Neubeck
- Sydney Nursing School, Charles Perkins Centre, University of Sydney, Australia
- School of Nursing, Midwifery and Social Care, Edinburgh Napier University, UK
- School of Nursing and Midwifery, Faculty of Medicine, Nursing and Health Sciences, Flinders University, Australia
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