Background: Detecting high-risk arrhythmia is important in diagnosing patients with palpitations. We compared the diagnostic accuracies of 7-day patch-type electrocardiographic (ECG) monitoring and 24-h Holter monitoring for detecting significant arrhythmias in patients with palpitations. Methods:This was a single-center prospective trial with 58 participants who presented with palpitations, chest pain or syncope. Outcomes were defined as the detection of any one of six arrhythmias, including supraventricular tachycardia (SVT), atrial fibrillation or atrial flutter lasting more than 30 s, pauses of more than 3 s, high-degree atrioventricular block, ventricular tachycardia (VT) >3 beats, or polymorphic VT/ventricular fibrillation. The McNemar test for paired proportions was used to compare arrhythmia detection rates. Results:The overall arrhythmia detection rate was higher with 7-day ECG patch monitoring than with 24-h Holter monitoring (34.5% vs. 19.0%, p = .008). Compared with the use of 24-h Holter monitors, the use of 7-day ECG patch monitors was associated with higher detection of SVT (29.3% vs. 13.8%, p = .042). No serious adverse skin reactions were reported among the ECG patch-monitored participants. Conclusions:The results suggest that a 7-day patch-type continuous ECG monitor is more effective for the detection of supraventricular tachycardia than is a 24-h Holter monitor. However, the clinical significance of device detected arrhythmia should be consolidated.

The purpose of this study was to examine the current utilization of healthcare services, exploring unmet healthcare needs and the associated factors among people living in rural Vietnam. This cross-sectional study was conducted with 233 participants in a rural area. The methods included face-to-face interviews using a structured questionnaire, and anthropometric and blood pressure measurements. We considered participants to have unmet health needs if they had any kind of health problem during the past 12 months for which they were unable to see a healthcare provider. Multivariate logistic regression analysis was performed to determine the factors associated with unmet healthcare needs. Of the participants, 18% (n = 43) had unmet healthcare needs, for reasons like transportation (30%), a lack of available doctors or medicine (47%), and communication issues with healthcare providers (16%). The multivariate logistic regression showed that living in a rural area, having stage 2 hypertension, and having insurance were associated with unmet healthcare needs. To better meet the healthcare needs in rural or suburban areas of Vietnam, allocation of adequate healthcare resources should be distributed in rural areas and insurance coverage for personalized healthcare needs might be required. Efforts should focus on availability of medicine, improvement of transportation systems, and communication skills of healthcare providers to improve access to healthcare services.

Background: Although health status in Vietnam has been much improved, people living in rural areas have faced several challenges, including a rapid increase of the aging population, inadequate capacity of health system, and problems of inequities in access to the healthcare system. The purpose of this study was to examine the current utilization of healthcare services, exploring unmet healthcare needs and their associated factors among adults living in rural Vietnam.Methods: This cross sectional study was conducted with 233 participants in a rural area of Binh Phuoc province and a suburban area of Da Lat city in Vietnam from October–December 2017. The methods included face-to-face interviews using a structured questionnaire as well as anthropometric and blood pressure measurements. We considered participants to have unmet health needs if they had any kind of health problem during the past 12 months for which they were unable to see a healthcare provider in the same period. Multivariate logistic regression analysis was performed to determine the factors associated with unmet healthcare needs.Results: Of the participants, 18% (n=43) had unmet healthcare needs. The common causes of unmet healthcare were transportation (30%), a lack of available doctors or medicines (47%), and communication issues with healthcare providers (16%). The multivariate logistic regression showed that having stage 2 high blood pressure and reporting no place to go for medical problems were associated with unmet healthcare needs.Conclusions: Healthcare services are still needed in disadvantaged group living in rural or suburban area of Vietnam. Efforts should focus on availability of medicines, improvement of transportation system as well as communication skills of healthcare providers to improve access to healthcare services.