618 Gynäkologie, Geburtsmedizin, Pädiatrie, Geriatrie
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Introduction: The Apple Watch valuably records event-based electrocardiograms (iECG) in children, as shown in recent studies by Paech et al. In contrast to adults, though, the automatic heart rhythm classification of the Apple Watch did not provide satisfactory results in children. Therefore, ECG analysis is limited to interpretation by a pediatric cardiologist. To surmount this difficulty, an artificial intelligence (AI) based algorithm for the automatic interpretation of pediatric Apple Watch iECGs was developed in this study.
Methods: A first AI-based algorithm was designed and trained based on prerecorded and manually classified i.e., labeled iECGs. Afterward the algorithm was evaluated in a prospectively recruited cohort of children at the Leipzig Heart Center. iECG evaluation by the algorithm was compared to the 12-lead-ECG evaluation by a pediatric cardiologist (gold standard). The outcomes were then used to calculate the sensitivity and specificity of the Apple Software and the self-developed AI.
Results: The main features of the newly developed AI algorithm and the rapid development cycle are presented. Forty-eight pediatric patients were enrolled in this study. The AI reached a specificity of 96.7% and a sensitivity of 66.7% for classifying a normal sinus rhythm.
Conclusion: The current study presents a first AI-based algorithm for the automatic heart rhythm classification of pediatric iECGs, and therefore provides the basis for further development of the AI-based iECG analysis in children as soon as more training data are available. More training in the AI algorithm is inevitable to enable the AI-based iECG analysis to work as a medical tool in complex patients.
Dementia affects individuals with various symptoms such as memory loss, word-finding difficulties and inhibited thought processes. The condition requires an environment adapted to the abilities and deficits of those affected. This study focuses on the use of multisensory tools in German nursing homes to enhance the quality of life for individuals with dementia, with an emphasis of assessing willingness to pay. A cross-sectional survey was conducted among German long-term care facilities using an online questionnaire, to assess willingness to pay for a newly developed multisensory product - described as the treasure box (“Schatzkästchen”). The study identified an acceptable price range for the treasure box of 30 EUR and 70 EUR. The survey indicates a need for analogue, multisensory products that can be used to activate and relax individuals with dementia. The findings emphasise the importance of addressing tactile and visual senses and suggest that care must be taken when determining the price of such products, considering the limited payment willingness of German nursing homes.
The United States (US) is experiencing a maternal health crisis, with high rates of maternal morbidity and mortality. The US has the highest rates of pregnancy-related mortality among industrialized nations. Maternal mortality has more than quadrupled over the last decades. Rural areas and minoritized populations are disproportionately affected. Increased pregnancy-care workforce with greater participation from family medicine, greater collaborative care, and adequate postpartum care could prevent many maternal deaths. However, more than 40% of birthing people in the US receive no postpartum care. No singular solutions can address the complex contributors to the current situation, and efforts to address the crisis must address workforce shortages and improve care during and after pregnancy. This essay explores the role family medicine (FM) can play in addressing the crisis. We discuss pregnancy care training in FM residencies as well as the threats posed by financial and medico-legal climates to the maternal health workforce. We explore how collaborative care models and comprehensive postpartum care may impact the maternal health workforce. Efforts and resources devoted to high impact solutions for which FM has considerable autonomy, including collaborative and postpartum care, are likely to have greatest impact.
Introduction: The United States is experiencing maternity care shortages. Family physicians can play a role in addressing these shortages. Family medicine obstetrics fellowships train family physicians in obstetrics care. Fellowship websites are important for promoting programs and attracting applicants. However, whether websites provide sufficient program information is unknown. This study aimed to assess completeness and utility of family medicine obstetrics fellowship websites across the United States.
Method: The study analyzed 46 family medicine obstetrics fellowship websites. The component analysis evaluated the presence of 17 components related to orientation, curriculum, program, personnel, and additional content. The qualitative analysis included ratings for navigation and application, information quality, and esthetics. Analysis included percentages for websites and components and average qualitative ratings.
Results: Common components included overviews, training requirements, and contact information. Description of the patient population was the least common component. Usability ratings varied across programs, with higher ratings observed for navigation and application, and information quality. Esthetics and visual appeal received lower ratings. Regional analysis indicated that websites from fellowships in the West and Southwest tended to include more components compared to those in the Southeast.
Discussion: Family medicine obstetrics fellowship websites serve as valuable sources of program information for prospective applicants. However, not all websites include essential program details. Some information is rarely provided. Given the shortage of maternity care providers, it is crucial to develop informative and functional websites to attract applicants. Improving website content and design could prove to be a cost-effective strategy to increase the number of applicants.