Supermarket/hypermarket opportunistic screening for atrial fibrillation (SHOPS-AF) using sensors embedded in the handles of supermarket trolleys: A feasibility study.

BACKGROUND: Atrial fibrillation (AF) increases the risk of death, stroke, heart failure, cognitive decline, and healthcare costs but is often asymptomatic and undiagnosed. There is currently no national screening program for AF. The advent of validated hand-held devices allows AF to be detected in non-healthcare settings, enabling screening to be undertaken within the community. METHOD AND RESULTS: In this novel observational study, we embedded a MyDiagnostick single lead ECG sensor into the handles of shopping trolleys in four supermarkets in the Northwest of England: 2155 participants were recruited. Of these, 231 participants either activated the sensor or had an irregular pulse, suggesting AF. Some participants agreed to use the sensor but refused to provide their contact details, or consent to pulse assessment. In addition, some data were missing, resulting in 203 participants being included in the final analyses. Fifty-nine participants (mean age 73.6 years, 43% female) were confirmed or suspected of having AF; 20 were known to have AF and 39 were previously undiagnosed. There was no evidence of AF in 115 participants and the remaining 46 recordings were non-diagnostic, mainly due to artefact. Men and older participants were significantly more likely to have newly diagnosed AF. Due to the number of non-diagnostic ECGs (n = 46), we completed three levels of analyses, excluding all non-diagnostic ECGs, assuming all non-diagnostic ECGs were masking AF, and assuming all non-diagnostic ECGs were not AF. Based on the results of the three analyses, the sensor's sensitivity (95% CI) ranged from 0.70 to 0.93; specificity from 0.15 to 0.97; positive predictive values (PPV) and negative predictive values (NPV) ranged from 0.24 to 0.56 and 0.55 to 1.00, respectively. These values should be interpreted with caution, as the ideal reference standard on 1934 participants was imperfect. CONCLUSION: The study demonstrates that the public will engage with AF screening undertaken as part of their daily routines using hand-held devices. Sensors can play a key role in identifying asymptomatic patients in this way, but the technology must be further developed to reduce the quantity of non-diagnostic ECGs.

Exercise-based cardiac rehabilitation for adults with atrial fibrillation.

BACKGROUND: Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, disrupts the heart's rhythm through numerous small re-entry circuits in the atrial tissue, leading to irregular atrial contractions. The condition poses significant health risks, including increased stroke risk, heart failure, and reduced quality of life. Given the complexity of AF and its growing incidence globally, exercise-based cardiac rehabilitation (ExCR) may provide additional benefits for people with AF or those undergoing routine treatment for the condition. OBJECTIVES: To assess the benefits and harms of ExCR compared with non-exercise controls for people who currently have AF or who have been treated for AF. SEARCH METHODS: We searched the following electronic databases: CENTRAL in the Cochrane Library, MEDLINE Ovid, Embase Ovid, PsycINFO Ovid, Web of Science Core Collection Thomson Reuters, CINAHL EBSCO, LILACS BIREME, and two clinical trial registers on 24 March 2024. We imposed no language restrictions. SELECTION CRITERIA: We included randomised clinical trials (RCTs) that investigated ExCR interventions compared with any type of non-exercise control. We included adults 18 years of age or older with any subtype of AF or those who had received treatment for AF. DATA COLLECTION AND ANALYSIS: Five review authors independently screened and extracted data in duplicate. We assessed risk of bias using Cochrane's RoB 1 tool as outlined in the Cochrane Handbook for Systematic Reviews of Interventions. We assessed clinical and statistical heterogeneity by visual inspection of the forest plots and by using standard Chi² and I² statistics. We performed meta-analyses using random-effects models for continuous and dichotomised outcomes. We calculated standardised mean differences where different scales were used for the same outcome. We used the GRADE approach to assess the certainty of the evidence. MAIN RESULTS: We included 20 RCTs involving a total of 2039 participants with AF. All trials were conducted between 2006 and 2024, with a follow-up period ranging from eight weeks to five years. We assessed the certainty of evidence as moderate to very low. Five trials assessed comprehensive ExCR programmes, which included educational or psychological interventions, or both; the remaining 15 trials compared exercise-only cardiac rehabilitation with controls. The overall risk of bias in the included studies was mixed. Details on random sequence generation, allocation concealment, and use of intention-to-treat analysis were typically poorly reported. Evidence from nine trials (n = 1173) suggested little to no difference in mortality between ExCR and non-exercise controls (risk ratio (RR) 1.06, 95% confidence interval (CI) 0.76 to 1.49; I² = 0%; 101 deaths; low-certainty evidence). Based on evidence from 10 trials (n = 825), ExCR may have little to no effect on SAEs (RR 1.30, 95% CI 0.63 to 2.67; I² = 0%; 28 events; low-certainty evidence). Evidence from four trials (n = 378) showed that ExCR likely reduced AF recurrence (measured via Holter monitoring) compared to controls (RR 0.70, 95% CI 0.56 to 0.88; I² = 2%; moderate-certainty evidence). ExCR may reduce AF symptom severity (mean difference (MD) -1.59, 95% CI -2.98 to -0.20; I² = 61%; n = 600; low-certainty evidence); likely reduces AF symptom burden (MD -1.61, 95% CI -2.76 to -0.45; I² = 0%; n = 317; moderate-certainty evidence); may reduce AF episode frequency (MD -1.29, 95% CI -2.50 to -0.07; I² = 75%; n = 368; low-certainty evidence); and likely reduces AF episode duration (MD -0.58, 95% CI -1.14 to -0.03; I² = 0%; n = 317; moderate-certainty evidence), measured via the AF Severity Scale (AFSS) questionnaire. Moderate-certainty evidence from six trials (n = 504) showed that ExCR likely improved the mental component summary measure in health-related quality of life (HRQoL) of the 36-item Short Form Health Survey (SF-36) (MD 2.66, 95% CI 1.22 to 4.11; I² = 2%), but the effect of ExCR on the physical component summary measure was very uncertain (MD 1.75, 95% CI -0.31 to 3.81; I² = 52%; very low-certainty evidence). ExCR also may improve individual components of HRQoL (general health, vitality, emotional role functioning, and mental health) and exercise capacity (peak oxygen uptake (VO2peak) and 6-minute walk test) following ExCR. The effects of ExCR on serious adverse events and exercise capacity were consistent across different models of ExCR delivery: centre compared to home-based, exercise dose, exercise only compared to comprehensive programmes, and aerobic training alone compared to aerobic plus resistance programmes. Using univariate meta-regression, there was evidence of significant association between location of trial and length of longest follow-up on exercise capacity. AUTHORS' CONCLUSIONS: Due to few randomised participants and typically short-term follow-up, the impact of ExCR on all-cause mortality or serious adverse events for people with AF is uncertain. ExCR likely improves AF-specific measures including reduced AF recurrence, symptom burden, and episode duration, as well as the mental components of HRQoL. ExCR may improve AF symptom severity, episode frequency, and VO2peak. Future high-quality RCTs are needed to assess the benefits of ExCR for people with AF on patient-relevant outcomes including AF symptom severity and burden, AF recurrence, AF-specific quality of life, and clinical events such as mortality, readmissions, and serious adverse events. High-quality trials are needed to investigate how AF subtype and clinical setting (i.e. primary and secondary care) may influence ExCR effectiveness.

Physical Activity Interventions Framed by the Health Action Process Approach for Adults with Long-Term Conditions: A Scoping Review.

BACKGROUND: Interventions that use the Health Action Process Approach (HAPA) model show promise for increasing PA frequency, duration, and intensity. However, there is limited understanding of how HAPA model variables have been operationalized for PA interventions in chronic disease to promote behavior change and sustained PA or whether the phase or continuous form of the HAPA model was used. The aim of this scoping review is to describe how the HAPA model variables for PA interventions were operationalized and provide details of implementation. METHOD: We searched five databases to identify studies published between January 1992 and March 2024. We aimed to describe (1) the characteristics of interventions including setting, delivery mode, duration, and content; (2) which HAPA variables were operationalized and the strategies used; and (3) the physical activity measures and outcome effects. RESULTS: The search identified 23 interventions in 30 papers (12 protocols, 3 quasi-experimental studies, and 15 randomized controlled trials (RCTs)). Seven of the 15 RCTs reported significant positive effects of the HAPA model on PA behavior outcomes. Interventions operationalized between three and nine HAPA constructs showed significant variability in how the HAPA model is used in intervention research. PA measures varied from self-report to validated objective instruments. CONCLUSION: We found a lack of clarity in decisions about which HAPA constructs were included in interventions. The wide variability in operationalized HAPA constructs made it challenging to compare interventions. Researchers should provide more detail about intervention design and implementation procedures to enhance transparency.

Global perspectives on heart disease rehabilitation and secondary prevention: a scientific statement from the Association of Cardiovascular Nursing and Allied Professions, European Association of Preventive Cardiology, and International Council of Cardiovascular Prevention and Rehabilitation.

Cardiovascular disease is a leading cause of death, morbidity, disability, and reduced health-related quality of life, as well as economic burden worldwide, with some 80% of disease burden occurring in the low- and middle-income country (LMIC) settings. With increasing numbers of people living longer with symptomatic disease, the effectiveness and accessibility of secondary preventative and rehabilitative health services have never been more important. Whilst LMICs experience the highest prevalence and mortality rates, the global approach to secondary prevention and cardiac rehabilitation, which mitigates this burden, has traditionally been driven from clinical guidelines emanating from high-income settings. This state-of-the art review provides a contemporary global perspective on cardiac rehabilitation and secondary prevention, contrasting the challenges of and opportunities for high vs. lower income settings. Actionable solutions to overcome system, clinician, programme, and patient level barriers to cardiac rehabilitation access in LMICs are provided.

Competency-based cardiac imaging for patient-centred care. A statement of the European Society of Cardiology (ESC). With the contribution of the European Association of Cardiovascular Imaging (EACVI), and the support of the Association of Cardiovascular Nursing & Allied Professions (ACNAP), the Association for Acute CardioVascular Care (ACVC), the European Association of Preventive Cardiology (EAPC), the European Association of Percutaneous Cardiovascular Interventions (EAPCI), the European Heart Rhythm Association (EHRA), and the Heart Failure Association (HFA) of the ESC.

Imaging plays an integral role in all aspects of managing heart disease and cardiac imaging is a core competency of cardiologists. The adequate delivery of cardiac imaging services requires expertise in both imaging methodology-with specific adaptations to imaging of the heart-as well as intricate knowledge of heart disease. The European Society of Cardiology (ESC) and the European Association of Cardiovascular Imaging have developed and implemented a successful education and certification programme for all cardiac imaging modalities. This programme equips cardiologists to provide high quality competency-based cardiac imaging services ensuring they are adequately trained and competent in the entire process of cardiac imaging, from the clinical indication via selecting the best imaging test to answer the clinical question, to image acquisition, analysis, interpretation, storage, repository, and results dissemination. This statement emphasizes the need for competency-based cardiac imaging delivery which is key to optimal, effective and efficient, patient care.

Consumer-Led Screening for Atrial Fibrillation: Frontier Review of the AF-SCREEN International Collaboration.

The technological evolution and widespread availability of wearables and handheld ECG devices capable of screening for atrial fibrillation (AF), and their promotion directly to consumers, has focused attention of health care professionals and patient organizations on consumer-led AF screening. In this Frontiers review, members of the AF-SCREEN International Collaboration provide a critical appraisal of this rapidly evolving field to increase awareness of the complexities and uncertainties surrounding consumer-led AF screening. Although there are numerous commercially available devices directly marketed to consumers for AF monitoring and identification of unrecognized AF, health care professional-led randomized controlled studies using multiple ECG recordings or continuous ECG monitoring to detect AF have failed to demonstrate a significant reduction in stroke. Although it remains uncertain if consumer-led AF screening reduces stroke, it could increase early diagnosis of AF and facilitate an integrated approach, including appropriate anticoagulation, rate or rhythm management, and risk factor modification to reduce complications. Companies marketing AF screening devices should report the accuracy and performance of their products in high- and low-risk populations and avoid claims about clinical outcomes unless improvement is demonstrated in randomized clinical trials. Generally, the diagnostic yield of AF screening increases with the number, duration, and temporal dispersion of screening sessions, but the prognostic importance may be less than for AF detected by single-time point screening, which is largely permanent, persistent, or high-burden paroxysmal AF. Consumer-initiated ECG recordings suggesting possible AF always require confirmation by a health care professional experienced in ECG reading, whereas suspicion of AF on the basis of photoplethysmography must be confirmed with an ECG. Consumer-led AF screening is unlikely to be cost-effective for stroke prevention in the predominantly young, early adopters of this technology. Studies in older people at higher stroke risk are required to demonstrate both effectiveness and cost-effectiveness. The direct interaction between companies and consumers creates new regulatory gaps in relation to data privacy and the registration of consumer apps and devices. Although several barriers for optimal use of consumer-led screening exist, results of large, ongoing trials, powered to detect clinical outcomes, are required before health care professionals should support widespread adoption of consumer-led AF screening.

Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference.

Despite marked progress in the management of atrial fibrillation (AF), detecting AF remains difficult and AF-related complications cause unacceptable morbidity and mortality even on optimal current therapy. This document summarizes the key outcomes of the 8th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Eighty-three international experts met in Hamburg for 2 days in October 2021. Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and research strategies. The main outcomes are (i) new evidence supports a simple, scalable, and pragmatic population-based AF screening pathway; (ii) rhythm management is evolving from therapy aimed at improving symptoms to an integrated domain in the prevention of AF-related outcomes, especially in patients with recently diagnosed AF; (iii) improved characterization of atrial cardiomyopathy may help to identify patients in need for therapy; (iv) standardized assessment of cognitive function in patients with AF could lead to improvement in patient outcomes; and (v) artificial intelligence (AI) can support all of the above aims, but requires advanced interdisciplinary knowledge and collaboration as well as a better medico-legal framework. Implementation of new evidence-based approaches to AF screening and rhythm management can improve outcomes in patients with AF. Additional benefits are possible with further efforts to identify and target atrial cardiomyopathy and cognitive impairment, which can be facilitated by AI.

Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm Society, Asia Pacific Heart Rhythm Society, Latin American Heart Rhythm Society and Computing in Cardiology.

We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (ii) AF detection, to optimize usage of technologies, stimulate research aimed at closing knowledge gaps, and developing ideal AF recording and processing technologies. Recording and processing techniques for assessment of electrical activity during AF essential for diagnosis and guiding ablative therapy including body surface electrocardiograms (ECG) and endo- or epicardial electrograms (EGM) are evaluated. Discussion of (i) differences in uni-, bi-, and multi-polar (omnipolar/Laplacian) recording modes, (ii) impact of recording technologies on EGM morphology, (iii) global or local mapping using various types of EGM involving signal processing techniques including isochronal-, voltage- fractionation-, dipole density-, and rotor mapping, enabling derivation of parameters like atrial rate, entropy, conduction velocity/direction, (iv) value of epicardial and optical mapping, (v) AF detection by cardiac implantable electronic devices containing various detection algorithms applicable to stored EGMs, (vi) contribution of machine learning (ML) to further improvement of signals processing technologies. Recording and processing of EGM (or ECG) are the cornerstones of (body surface) mapping of AF. Currently available AF recording and processing technologies are mainly restricted to specific applications or have technological limitations. Improvements in AF mapping by obtaining highest fidelity source signals (e.g. catheter-electrode combinations) for signal processing (e.g. filtering, digitization, and noise elimination) is of utmost importance. Novel acquisition instruments (multi-polar catheters combined with improved physical modelling and ML techniques) will enable enhanced and automated interpretation of EGM recordings in the near future.

Cardiovascular risk communication strategies in primary prevention. A systematic review with narrative synthesis.

AIM: To evaluate the effectiveness of cardiovascular risk communication strategies to improve understanding and promote risk factor modification. DESIGN: Systematic review with narrative synthesis. DATA SOURCES: A comprehensive database search for quantitative and qualitative studies was conducted in five databases, Cumulative Index to Nursing and Allied health Literature (CINAHL), Medical Literature Analysis and Retrieval System Online (MEDLINE), EMBASE, Applied Social Sciences Index and Abstracts (ASSIA) and Web of Science. The searches were conducted between 1980 and July 2019. REVIEW METHODS: The systematic review was conducted in accordance with Cochrane review methods. Data were extracted and a narrative synthesis of quantitative and qualitative results was undertaken. RESULTS: The abstracts of 16,613 articles were assessed and 210 underwent in-depth review, with 31 fulfilling the inclusion criteria. We observed significant heterogeneity across study designs and outcomes. Nine communication strategies were identified including numerical formats, graphical formats, qualitative information, infographics, avatars, game interactions, timeframes, genetic risk scores and cardiovascular imaging. Strategies that used cardiovascular imaging had the biggest impact on health behaviour change and risk factor modification. Improvements were seen in diet, exercise, smoking, risk scores, cholesterol and intentions to take preventive medication. CONCLUSION: A wide range of cardiovascular risk communication strategies has been evaluated, with those that employ personalized and visual evidence of current cardiovascular health status more likely to promote action to reduce risk. IMPACT: Future risk communication strategies should incorporate methods to provide individuals with evidence of their current cardiovascular health status.

Comparison of Different Physical Activity Measures in a Cardiac Rehabilitation Program: A Prospective Study.

Concordant assessments of physical activity (PA) and related measures in cardiac rehabilitation (CR) is essential for exercise prescription. This study compared exercise measurement from an in-person walk test; wearable activity tracker; and self-report at CR entry, completion (8-weeks) and follow-up (16-weeks). Forty patients beginning CR completed the Six-Minute Walk Test (6MWT), Physical Activity Scale for the Elderly (PASE), and wore Fitbit-Flex for four consecutive days including two weekend days. The sample mean age was 66 years; 67% were male. Increased exercise capacity at CR completion and follow-up was detected by a 6MWT change in mean distance (39 m and 42 m; p = 0.01, respectively). Increased PA participation at CR completion was detected by Fitbit-Flex mean change in step counts (1794; p = 0.01). Relative changes for Fitbit-Flex step counts and a 6MWT were consistent with previous research, demonstrating Fitbit-Flex's potential as an outcome measure. With four days of data, Fitbit-Flex had acceptable ICC values in measuring step counts and MVPA minutes. Fitbit-Flex steps and 6MWT meters are more responsive to changes in PA patterns following exposure to a cardiac rehabilitation program than Fitbit-Flex or PASE-estimated moderate-vigorous PA (MVPA) minutes. Fitbit-Flex step counts provide a useful additional measure for assessing PA outside of the CR setting and accounts for day-to-day variations. Two weekend days and two weekdays are needed for Fitbit-Flex to estimate PA levels more precisely.

The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: centre and patient experiences.

AIMS: TeleCheck-AF is a multicentre international project initiated to maintain care delivery for patients with atrial fibrillation (AF) during COVID-19 through teleconsultations supported by an on-demand photoplethysmography-based heart rate and rhythm monitoring app (FibriCheck®). We describe the characteristics, inclusion rates, and experiences from participating centres according the TeleCheck-AF infrastructure as well as characteristics and experiences from recruited patients. METHODS AND RESULTS: Three surveys exploring centre characteristics (n = 25), centre experiences (n = 23), and patient experiences (n = 826) were completed. Self-reported patient characteristics were obtained from the app. Most centres were academic (64%) and specialized public cardiology/district hospitals (36%). Majority of the centres had AF outpatient clinics (64%) and only 36% had AF ablation clinics. The time required to start patient inclusion and total number of included patients in the project was comparable for centres experienced (56%) or inexperienced in mHealth use. Within 28 weeks, 1930 AF patients were recruited, mainly for remote AF control (31% of patients) and AF ablation follow-up (42%). Average inclusion rate was highest during the lockdown restrictions and reached a steady state at a lower level after easing the restrictions (188 vs. 52 weekly recruited patients). Majority (>80%) of the centres reported no problems during the implementation of the TeleCheck-AF approach. Recruited patients [median age 64 (55-71), 62% male] agreed that the FibriCheck® app was easy to use (94%). CONCLUSION: Despite different health care settings and mobile health experiences, the TeleCheck-AF approach could be set up within an extremely short time and easily used in different European centres during COVID-19.

An Internet-Based Intervention for Cardiovascular Disease Management Integrated With Primary Care Electronic Health Records: Mixed Methods Evaluation of Implementation Fidelity and User Engagement.

BACKGROUND: Growing evidence supports the benefits of eHealth interventions to increase patient engagement and improve outcomes for a range of conditions. However, ineffective program delivery and usage attrition limit exposure to these interventions and may reduce their effectiveness. OBJECTIVE: This study aims to evaluate the delivery fidelity of an eHealth intervention, describe use patterns, compare outcomes between low and high users, and identify mediating factors on intervention delivery and receipt. METHODS: This is a mixed methods study of an internet-based intervention being evaluated for effectiveness in a randomized controlled trial (RCT). The intervention comprised medication and cardiovascular disease (CVD) risk data uploaded from the primary care electronic health record (EHR); interactive, personalized CVD risk score estimation; goal setting and self-monitoring; an interactive social forum; and optional receipt of heart health messages. Fidelity was assessed over 12 months. Trial outcomes were compared between low and high users. Data sources included program delivery records, web log data, trial data, and thematic analysis of communication records. RESULTS: Most participants in the intervention group (451/486, 93%) had an initial training session conducted by telephone (413/447, 92.4% of participants trained), with a mean duration of 44 minutes (range 10-90 minutes). Staff conducted 98.45% (1776/1804) of the expected follow-ups, mostly by telephone or email. Of the 451 participants who commenced log-ins, 46.8% (211) were categorized as low users (defined as at least one log-in in 3 or fewer months of follow-up), 40.4% (182) were categorized as high users (at least one log-in in more than 3 months of follow-up), and 12.8% (58) were nonadopters (no log-ins after their training session). The mean log-in frequency was 3-4 per month in ongoing users. There was no significant difference between the groups in the primary trial outcome of adherence to guideline-recommended medications (P=.44). In unadjusted analyses, high users had significantly greater eHealth literacy scores (P=.003) and were more likely to meet recommended weekly targets for fruit (P=.03) and fish (P=.004) servings; however, the adjusted findings were not significant. Interactive screen use was highest for goal tracking and lowest for the chat forum. Screens with EHR-derived data held only an early interest for most users. Fidelity measures (reach, content, dose delivered, and dose received) were influenced by the facilitation strategies used by staff, invisible qualities of staff-participant communication, and participants' responsiveness to intervention attributes. CONCLUSIONS: A multifeature internet-based intervention was delivered with high fidelity to the RCT protocol and was regularly used by 40.4% (182/451) of users over 12 months. Higher log-in frequency as an indicator of greater intervention exposure was not associated with statistically significant improvements in eHealth literacy scores, lifestyle changes, or clinical outcomes. Attributes of the intervention and individualized support influenced initial and ongoing use.

Atrial Fibrillation in Indigenous Australians: A Multisite Screening Study Using a Single-Lead ECG Device in Aboriginal Primary Health Settings.

BACKGROUND: Circulatory diseases continue to be the greatest cause of mortality for Australian Aboriginal and Torres Strait Islander people, and a major cause of persistently lower life expectancy compared with non-Aboriginal Australians. The limited information that exists on atrial fibrillation (AF) prevalence in Aboriginal and Torres Strait Islander communities is mostly based on hospital admission data. This shows AF as principal or additional admission diagnosis was 1.4 times higher compared to non-Aboriginal Australians, a higher incidence of AF across the adult life span after age 20 years and a significantly higher prevalence among younger patients. Our study estimates the first national community prevalence and age distribution of AF (including paroxysmal) in Australian Aboriginal people. A handheld single-lead electrocardiograph (ECG) device (iECG), known to be acceptable in this population, was used to record participant ECGs. METHODS: This co-designed, descriptive cross-sectional study was conducted in partnership with 16 Aboriginal Community Controlled Health organisations at their facilities and/or with their services delivered elsewhere. The study was also conducted at one state community event. Three (3) Australian jurisdictions were involved: New South Wales, Western Australia and the Northern Territory. Study sites were located in remote, regional and urban areas. Opportunistic recruitment occurred between June 2016 and December 2017. People <45 years of age were excluded. RESULTS: Thirty (30) of 619 Aboriginal people received a 'Possible AF' and 81 an 'Unclassified' result from a hand-held smartphone ECG device. A final diagnosis of AF was made in 29 participants (4.7%; 95%CI 3.0-6.4%), 25 with known AF (five paroxysmal), and four with previously unknown AF. Three (3) of the four with unknown AF were aged between 55-64 years, consistent with a younger age of AF onset in Aboriginal people. Estimated AF prevalence increased with age and was higher in those aged >55 years than the general population (7.2% compared with 5.4%). Slightly more men than women were diagnosed with AF. CONCLUSIONS: This study is a significant contribution to the evidence which supports screening for AF in Aboriginal and Torres Strait Islander people commencing at a younger age than as recommended in the Australian guidelines (>65 years). We recommend the age of 55 years. Consideration should be given to the inclusion of AF screening in the Australian Government Department of Health annual 'Aboriginal and Torres Strait Islander Health Assessment'. CLINICAL TRIAL REGISTRATION: ACTRN12616000459426.

Searching for Atrial Fibrillation Poststroke: A White Paper of the AF-SCREEN International Collaboration.

Cardiac thromboembolism attributed to atrial fibrillation (AF) is responsible for up to one-third of ischemic strokes. Stroke may be the first manifestation of previously undetected AF. Given the efficacy of oral anticoagulants in preventing AF-related ischemic strokes, strategies of searching for AF after a stroke using ECG monitoring followed by oral anticoagulation (OAC) treatment have been proposed to prevent recurrent cardioembolic strokes. This white paper by experts from the AF-SCREEN International Collaboration summarizes existing evidence and knowledge gaps on searching for AF after a stroke by using ECG monitoring. New AF can be detected by routine plus intensive ECG monitoring in approximately one-quarter of patients with ischemic stroke. It may be causal, a bystander, or neurogenically induced by the stroke. AF after a stroke is a risk factor for thromboembolism and a strong marker for atrial myopathy. After acute ischemic stroke, patients should undergo 72 hours of electrocardiographic monitoring to detect AF. The diagnosis requires an ECG of sufficient quality for confirmation by a health professional with ECG rhythm expertise. AF detection rate is a function of monitoring duration and quality of analysis, AF episode definition, interval from stroke to monitoring commencement, and patient characteristics including old age, certain ECG alterations, and stroke type. Markers of atrial myopathy (eg, imaging, atrial ectopy, natriuretic peptides) may increase AF yield from monitoring and could be used to guide patient selection for more intensive/prolonged poststroke ECG monitoring. Atrial myopathy without detected AF is not currently sufficient to initiate OAC. The concept of embolic stroke of unknown source is not proven to identify patients who have had a stroke benefitting from empiric OAC treatment. However, some embolic stroke of unknown source subgroups (eg, advanced age, atrial enlargement) might benefit more from non-vitamin K-dependent OAC therapy than aspirin. Fulfilling embolic stroke of unknown source criteria is an indication neither for empiric non-vitamin K-dependent OAC treatment nor for withholding prolonged ECG monitoring for AF. Clinically diagnosed AF after a stroke or a transient ischemic attack is associated with significantly increased risk of recurrent stroke or systemic embolism, in particular, with additional stroke risk factors, and requires OAC rather than antiplatelet therapy. The minimum subclinical AF duration required on ECG monitoring poststroke/transient ischemic attack to recommend OAC therapy is debated.

Awareness campaigns of atrial fibrillation as an opportunity for early detection by pharmacists: an international cross-sectional study.

Atrial fibrillation (AF) accounts for up to one third of strokes, one of the lead mortality causes worldwide. The European Society of Cardiology guidelines recommend opportunistic screening as a means to increase the odds of early detection and institution of appropriate treatment according to risk factors identified. However, in most countries there are various barriers to effective uptake of screening, including low awareness. The Atrial Fibrillation Association is a patient association engaged with raising awareness of AF. Establishing a partnership with the International Pharmacists for Anticoagulation Care Taskforce, we set as goals to test a model for raising awareness of AF involving pharmacists globally; and to identify barriers and enablers to its implementation. A cross-sectional study was conducted during the Arrhythmia Alliance World Heart Rhythm Week. Pharmacists from 10 countries invited individuals (≥ 40 years; without anticoagulation therapy of AF) to participate in the awareness campaign. Participants agreeing were engaged in the early detection of AF (EDAF) using pulse palpation. Individuals with rhythm discrepancies were referred and prospectively assessed to have information on the proportion of confirmed diagnosis, leading to estimate the detection rate. Interviews with country coordinators explored barriers and enablers to implementation. The study involved 4193 participants in the awareness campaign and 2762 in the EDAF event (mean age 65.3 ± 13.0), of whom 46.2% individuals were asymptomatic, recruited across 120 sites. Most common CHA2DS2-VASc risk factor was hypertension. Among 161 patients referred to physician, feedback was obtained for 32 cases, of whom 12 new arrhythmia diagnoses were confirmed (5 for AF, 2 for atrial flutter), all among elders (≥ 65 years). Qualitative evaluation suggested a local champion to enable pharmacists' success; technology enhanced engagement amongst patients and increased pharmacists' confidence in referring to physicians; interprofessional relationship was crucial in success. This study suggests pharmacists can contribute to greater outreach of awareness campaigns. Effective communication pathways for inter-professional collaboration were suggested enablers to gain full benefits of EDAF.

A realist evaluation approach to explaining the role of context in the impact of a complex eHealth intervention for improving prevention of cardiovascular disease.

BACKGROUND: Reduction of cardiovascular disease (CVD) is a worldwide health priority and innovative uses of technology-based interventions may assist patients with improving prevention behaviours. Targeting these interventions to recipients most likely to benefit requires understanding how contexts of use influence responsiveness to the intervention, and how this interaction favours or discourages health behaviour. Using a realist evaluation approach, the aim of this study was to examine the contextual factors influencing behaviour change within a multi-feature eHealth intervention with personalised data integration from the primary care electronic health record (EHR). METHODS: Realist evaluation of qualitative data from the Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) randomised trial (N = 934). Thirty-six participants from the intervention group (N = 486) who had completed 12 months of study follow-up were interviewed. Coding of transcripts was structured around configurations of contexts, mechanisms, and outcomes of intervention use. Contextual narratives were derived from thematic analysis of the interviews. RESULTS: Mechanisms favouring positive health behaviour occurred when participants responded to four interactive features of the intervention. Facilitating mechanisms included greater cognitive engagement whereby participants perceived value and benefit, and felt motivated, confident and incentivised. Participants moved from being unconcerned (or unaware) to more task-oriented engagement with personal CVD risk profile and prevention. Increased personalisation occurred when modifiable CVD risk factors became relatable to lifestyle behaviour; and experiences of feeling greater agency/self-efficacy emerged. Use and non-use of the intervention were influenced by four overarching narratives within the individual's micro-level and meso-level environments: illness experiences; receptiveness to risk and prevention information; history of the doctor-patient relationship; and relationship with technology. CONCLUSIONS: Intervention-context interactions are central to understanding how change mechanisms activate within complex interventions to exert their impact on recipients. Intervention use and non-use were context-dependent, underscoring the need for further research to target eHealth innovations to those most likely to benefit.

NursE led Atrial Fibrillation Management: The NEAT Study: A Randomized Controlled Trial.

BACKGROUND: Atrial fibrillation (AF) is a growing epidemic. Current models of care delivery are inadequate in meeting the needs of the population with AF. Furthermore, quality of life is known to be poor in patients with AF and is associated with adverse patient outcomes. OBJECTIVE: The aim of this study was to determine if nurse-led education and cardiovascular risk factor modification, undertaken using the principles of motivational interviewing, facilitated by an electronic decision support tool to ensure the appropriate use of oral anticoagulation (OAC), could improve health-related quality of life (HRQoL), guideline adherence to OAC, and cardiovascular risk factor profiles in individuals with AF. METHODS: This was a multicenter, prospective, randomized controlled feasibility study of 72 individuals with AF. The intervention involved 1 face-to-face nurse-delivered education and risk factor management session with 4 follow-up telephone calls over a 3-month period to monitor progress. The primary outcome measure was HRQoL as assessed by the Short Form-12 survey. RESULTS: A total of 72 participants were randomized, with 36 individuals in each arm completing follow-up. Mean age was 65 ± 11 years and 44% were women. At 3 months follow-up, no significant differences between groups were observed for the physical or mental component summary scores of the Short Form-12, nor any of the subscales. Appropriate use of OAC did not differ between groups at final follow-up. CONCLUSIONS: A brief nurse-delivered educational intervention did not significantly impact on HRQoL or risk factor status in individuals with AF. Further research should focus on interventions of greater intensity to improve outcomes in this population. TRIAL REGISTRATION: ACTRN12615000928516.

Adherence to Cardiac Medications in Patients With Atrial Fibrillation: A Pilot Study.

BACKGROUND: Non-adherence to medications is common in patients with atrial fibrillation (AF), increasing the risk of stroke, co-morbidities, and AF symptoms. Understanding factors influencing medication adherence is important in providing holistic care to patients with AF. This study aimed to explore medication adherence in patients with AF, and explore associations with health literacy, cognition, or AF knowledge. METHODS: A single-centre pilot study, using survey questionnaires and open questions. Patients with a primary cardiac diagnosis, with AF as primary or secondary diagnosis, were eligible for recruitment. During hospitalisation, adherence to cardiac medications was assessed using the Basel Assessment of Adherence to Immunosuppressive Medication Scale (BAASIS). Health literacy, cognition, and AF knowledge were assessed through validated questionnaires. Facilitators and barriers for medication adherence were obtained through open-ended question and coded using a content analysis approach. RESULTS: Fifty-four (54) patients were recruited (61% male, mean age 71±11). Twenty-two (22) participants (41%) were classified as non-adherent using the BAASIS; with a corresponding self-reported adherence of 87.7% in non-adherent participants compared to 97.8% in adherent participants. No associations were identified between medication adherence and cognition, health literacy, or AF knowledge. Facilitators for adherence included external assistance, routines, and medication knowledge, and these were reported by both adherent and non-adherent participants. Non-adherent participants reported more barriers including medication concerns, forgetfulness, and lifestyle factors. CONCLUSIONS: Large numbers of AF patients are likely to be non-adherent to medications. Medication adherence is influenced by multiple factors, individual to each patient. Diverse strategies are required to ensure adherence to cardiac medications.

Target Audience and Preferences Related to an Australian Coronary Heart Disease Specific Mobile App: A Mixed Methods Study.

BACKGROUND: Widespread availability of mobile technologies offers the opportunity to support secondary prevention of coronary heart disease (CHD) via mobile apps, however, the target audience and their app preferences are unknown. This study aims to identify the potential audience for an Australian CHD specific app and their recommendations and preferences. METHODS: A two-phase mixed methods study: Phase 1: CHD patients (n=282) were surveyed on mobile app engagement. Phase 2: Four focus groups with regular app users (n=12) identified preferences and recommendations generated after using a CHD-specific publicly available app (MyHeartMyLife) for 2 weeks. Data were thematically analysed. RESULTS: Survey participants were aged ≥56 years (238/282, 84.4%) and male (204/282, 72.3%). More than one third (108/282, 38.3%) were regular app users, of whom 83/108, (76.9%) used health apps. Regular app users were more likely to be <56 years (versus ≥70 years; OR 4.70, 95% CI 1.92, 11.51), employed (OR 3.07, 95% CI 1.63, 5.77) and had completed high school education (OR 2.37, 95% CI 1.30, 4.34). Focus group participants using the CHD-specific app were aged 41-79 years (mean 62.2 SD 5.3 years) and 10/12 were male. Coronary heart disease specific app preferences generated included: immediate access to relevant and practical health information and records; behaviour change motivation; more experienced app users located and used app features readily and provided support for less experienced users. In addition, ensuring ease of reading and interpreting data, adding physical activity tracking, the ability to integrate and synchronise with other apps and devices, and capacity to store additional personal medical records were also recommended. CONCLUSIONS: The target audience for CHD-specific apps is aged <56 years, employed, has completed high school and is an experienced app user. User preferences and recommendations identified features present in publicly available apps, but many features need development.

Utilising a Data Capture Tool to Populate a Cardiac Rehabilitation Registry: A Feasibility Study.

BACKGROUND: Clinical registries are effective for monitoring clinical practice, yet manual data collection can limit their implementation and sustainability. The objective of this study was to assess the feasibility of using a data capture tool to collect cardiac rehabilitation (CR) minimum variables from electronic hospital administration databases to populate a new CR registry in Australia. METHODS: Two CR facilities located in Melbourne, Australia participated, providing data on 42 variables including: patient socio-demographics, risk factors and co-morbidities, CR program information (e.g. number of CR sessions), process indicators (e.g. wait time) and patient outcomes (e.g. change in exercise capacity). A pre-programmed, automated data capture tool (GeneRic Health Network Information for the Enterprise [20]: https://www.grhanite.com/) (GRHANITE™) was installed at the sites to extract data available in an electronic format from hospital sites. Additionally, clinicians entered data on CR patients into a purpose-built web-based tool (Research Electronic Data Capture: https://www.project-redcap.org/) (REDCap). Formative evaluation including staff feedback was collected. RESULTS: The GRHANITE™ tool was successfully installed at the two CR sites and data from 176 patients (median age = 67 years, 76% male) were securely extracted between September-December 2017. Data pulled electronically from hospital databases was limited to seven of the 42 requested variables. This is due to CR sites only capturing basic patient information (e.g. socio-demographics, CR appointment bookings) in hospital administrative databases. The remaining clinical information required for the CR registry was collected in formats (e.g. paper-based, scanned or Excel spreadsheet) deemed unusable for electronic data capture. Manually entered data into the web-tool enabled data collection on all remaining variables. Compared to historical methods of data collection, CR staff reported that the REDCap tool reduced data entry time. CONCLUSIONS: The key benefits of a scalable, automated data capture tool like GRHANITE™ cannot be fully realised in settings with under-developed electronic health infrastructure. While this approach remains promising for creating and maintaining a registry that monitors the quality of CR provided to patients, further investment is required in the digital platforms underpinning this approach.