Mobile Electrocardiograms in the Detection of Subclinical Atrial Fibrillation in High-Risk Outpatient Populations: Protocol for an Observational Study

JMIR Res Protoc. 2024 May 27;13:e52647. doi: 10.2196/52647. ABSTRACT BACKGROUND: Single-lead, smartphone-based mobile electrocardiograms (ECGs) have the potential to provide a noninvasive, rapid, and cost-effective means of screening for atrial fibrillation (AFib) in outpatient settings. AFib has been associated with various comorbid diseases that prompt further investigation and screening methodologies for at-risk populations. A simple […]

Physician perspectives of the community paramedicine at clinic (CP@clinic) and my care plan app (myCP app) for older adults

BMC Prim Care. 2024 May 25;25(1):187. doi: 10.1186/s12875-024-02436-y. ABSTRACT BACKGROUND: Community Paramedicine (CP) is an emerging model of care addressing health problems through non-emergency services. Little evidence exists examining the integration of an app for improved patient, CP, and family physician (FP) communication. This study investigated FP perspectives on the impact of the Community Paramedicine […]

Interpretable machine learning models for predicting the incidence of antibiotic- associated diarrhea in elderly ICU patients

BMC Geriatr. 2024 May 24;24(1):458. doi: 10.1186/s12877-024-05028-8. ABSTRACT BACKGROUND: Antibiotic-associated diarrhea (AAD) can prolong hospitalization, increase medical costs, and even lead to higher mortality rates. Therefore, it is essential to predict the incidence of AAD in elderly intensive care unit(ICU) patients. The objective of this study was to create a prediction model that is both […]

Enhancing outpatient anxiety treatment with mobile technology: A quality improvement study

Arch Psychiatr Nurs. 2024 Jun;50:83-86. doi: 10.1016/j.apnu.2024.03.017. Epub 2024 Mar 24. ABSTRACT INTRODUCTION: Mobile mental health applications are a novel treatment method with unique qualities and capabilities for enhancing existing psychiatric treatments. Outpatient settings such as Mile Square Health Clinic have identified a need to leverage this new technology into their routine care. BACKGROUND: In […]

Consumption of Food Offered by Delivery Applications (Apps)

Int J Environ Res Public Health. 2024 Apr 29;21(5):568. doi: 10.3390/ijerph21050568. ABSTRACT This study aimed to investigate whether the use of food delivery applications is related to food consumption practices. METHODS: Data collection was carried out between 5 and 20 June 2020 in a Brazilian capital with a final sample of 2113 individuals. The instrument […]

Feasibility and Acceptability of a Meditation Mobile App Intervention for Adolescent and Young Adult Survivors of Childhood Cancer

Int J Environ Res Public Health. 2024 May 2;21(5):584. doi: 10.3390/ijerph21050584. ABSTRACT BACKGROUND: Adolescent and young adult (AYA) survivors of childhood cancer are increasingly recognized as a vulnerable group with unique emotional, social, and practical needs due to the intersection of cancer survivorship and normal developmental processes. Mindfulness meditation has shown early efficacy in improving […]

Effect of Lifestyle Counselling via a Mobile Application on Disease Activity Control in Inflammatory Arthritis: A Single-Blinded, Randomized Controlled Study

Nutrients. 2024 May 14;16(10):1488. doi: 10.3390/nu16101488. ABSTRACT BACKGROUND: Mobile applications (apps) are a resource for information on lifestyle and nutrition which are associated to improved outcomes in inflammatory arthritis. OBJECTIVE: The aim of this study was to explore whether targeted lifestyle counselling via an app improves disease activity in arthritis patients. METHODS: Patients with rheumatoid […]

MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture

Sensors (Basel). 2024 May 10;24(10):3022. doi: 10.3390/s24103022. ABSTRACT This study examined the efficacy of an optimized DeepLabCut (DLC) model in motion capture, with a particular focus on the sit-to-stand (STS) movement, which is crucial for assessing the functional capacity in elderly and postoperative patients. This research uniquely compared the performance of this optimized DLC model, […]