Background: People with unknown atrial fibrillation (AF), who are often asymptomatic, have a substantially increased risk of stroke. Although recommended in European guidelines, AF screening is not routinely performed. Screening at the time of influenza vaccination presents an ideal opportunity to detect AF in large numbers in a primary care medical setting, with an existing annual recall system for patients aged !65 years. Design: Cross-sectional pilot study of handheld smartphone electrocardiogram (iECG) screening to identify unknown AF. Methods: General practices in Sydney, Australia, were recruited during the influenza-vaccination period of April-June 2015. Practice nurses screened patients aged !65 years with a 30-second iECG, which has a validated algorithm for detecting AF in real time. In order to confirm the accuracy of the algorithm, two research cardiologists reviewed de-identified iECGs. In order to explore barriers and enablers, semi-structured interviews were conducted with selected nurses, practice managers and general practitioners. Results: Five general practices were recruited, and 973/2476 (39%) patients attending influenza vaccination were screened. Screening took an average of 5 minutes (range 1.5-10 minutes); however, abnormal iECGs required additional time. Newly identified AF was found in 8/973 patients (0.8%). The sensitivity of the iECG automated algorithm was 95% (95% confidence interval: 83-99%) and the specificity was 99% (95% confidence interval: 98-100%). Screening by practice nurses was well accepted by practice staff. Key enablers were the confidence and competence of nurses and a 'designated champion' to lead screening at the practice. Barriers were practice specific, and mainly related to staff time and funding. Conclusions: Screening with iECG during influenza vaccination by primary care nurses is feasible and well accepted by practice staff. Addressing barriers is likely to increase uptake.

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CHD surgical patients have substantially worse HRQOL compared with age-matched healthy controls. Strategies should focus on improving HRQOL in this subgroup. Results may not be applicable to low/middle-income countries given the dearth of relevant research.

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ObjectiveInconsistencies have been reported in health-related quality of life (HRQOL) in postoperative congenital heart disease (CHD). Despite the need for lifelong care due for residual symptoms, only a few studies have explored cardiac-related HRQOL but none in lower middle-income countries (LMIC). This study therefore addresses the gap by exploring HRQOL and its associated predictors in postoperative CHD in Pakistan.Outcome measuresGeneral and cardiac-related HRQOL, associated predictors.MethodsThis cross-sectional study recruited patients with CHD and age-matched healthy siblings as controls (n=129 each) at a single centre in Pakistan. Patients and their siblings completed HQROL surveys (PedsQL 4.0 Generic Core, PedsQL Cognitive Functioning). Patients only completed PedsQL 3.0 Cardiac module. Generalised linear models identified predictors.ResultsThe sample mean age was 8.84±3.87 years and 70% were below the poverty line for an LMIC. The majority (68%) had their first surgery after 1 year of age and were interviewed at a mean 4.08±1.91 years postoperatively.Patients with CHD had lower HRQOL in all domains compared with their age-matched siblings, with the biggest differences for total HRQOL (effect size, d=−1.35). Patients with complex CHD had lower HRQOL compared with simple to moderate CHDs in cardiac-related HRQOL. The lowest scores were for treatment problems (effect size, d=−0.91). HRQOL was worse for patients who were on cardiac medications, had complex CHD, longer cardiopulmonary bypass time, re-operations and were female.ConclusionsHRQOL issues persist in postoperative patients with CHD in LMIC, Pakistan. Solutions are needed to address poor HRQOL and lifelong concerns of patients and their parents.