Introduction: There are few studies on e-Health interventions directed at parents that analyse their costs and any potential savings that may occur. The aims of this study consisted of calculating the costs of the development and maintenance of paediatric web site for parents, including the costs per visit and per visitor, and the potentially savings made as regards medical visits avoided as a result of its use.
Methods: The technology costs as well as the work of the professionals were considered as costs of the web site. The calculation of the cost of the professionals and the potential savings were based on the official fees and public prices of the Andalusian Public Health Service.
Results: During 5years and 6months of the study, the total cost of the web site was €45,201.56. The cost per visit received was €0.0155€, and €0.0186 for each single visitor. Among the 516 users that took part in the study, face-to-face visits to Primary Care paediatric clinics were avoided, as well as those to Paediatric Emergency Department, at a savings of €22,263.89.
Conclusions: The costs of developing a paediatric e-Health website for parents written in Spanish, using existing and free technologies, are low compared to other forms of e-Health development. Furthermore, the costs are considerably low if they are divided by the total number of visits or the number of visitors. There is also a considerable potential financial saving on contributing to avoid face-to-face visits.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.anpedi.2020.03.014 | DOI Listing |
Front Fungal Biol
December 2024
Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, United States.
is a globally significant genus of plant pathogens known for causing anthracnose across a diverse array of hosts. Notably, is a pathogen affecting maize. Annually, the global economic impact of this pathogen reaches billions of US dollars.
View Article and Find Full Text PDFBiomed Tech (Berl)
December 2024
Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
View Article and Find Full Text PDFJ Stomatol Oral Maxillofac Surg
December 2024
Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan. Electronic address:
Background: Oral cancer, particularly mucoepidermoid carcinoma (MEC), presents diagnostic challenges due to its histological diversity and rarity. This study aimed to develop machine learning (ML) models to predict survival outcomes for MEC patients and pioneer a clinically accessible prognostic tool.
Methods: Using the SEER database (2000-2020), we constructed predictive models with five ML algorithms: Random Forest Classifier (RFC), Gradient Boosting Classifier (GBC), Logistic Regression (LR), K-Nearest Neighbors (KNN), and Multilayer Perceptron (MLP).
Int J Surg
December 2024
Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, Sichuan Province, China.
Background: Determining the benign or malignant status of indeterminate pulmonary nodules (IPN) with intermediate malignancy risk is a significant clinical challenge. Oral microbiota-lung cancer interactions have qualified oral microbiota as a promising non-invasive predictive biomarker in IPN.
Materials And Methods: Prospectively collected saliva, throat swabs, and tongue coating samples from 1040 IPN patients and 70 healthy controls across three hospitals.
J Funct Biomater
November 2024
Department of Interdisciplinary Dentistry, Pomeranian Medical University in Szczecin, 71-111 Szczecin, Poland.
(1) Background: A free gingival graft (FGG) is a common technique used to reconstruct or enhance the area of keratinized mucosa, while a connective tissue graft (CTG) is utilized to boost soft tissue thickness, thereby promoting stability in interproximal marginal bone levels. Most reported complications following FGG procedure are associated with the donor site. In addition to a painful, open wound in the palate, the most frequent complications linked to FGG harvesting include excessive bleeding, postoperative bone exposure, and recurrent herpes lesions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!