The use of eHealth in support for daily functioning of service users with intellectual disability (ID) is a rather unexplored domain. Therefore, the current study identified the a) level of familiarity, b) advantages/disadvantages, and c) facilitating/impeding factors for the use of eHealth in support for daily functioning of people with ID according to service users, relatives, and professionals. Four focus groups and one semi-structured qualitative interview were conducted. Participants were familiar with numerous eHealth applications. Benefits were related to service users (e.g., increased independency) and relatives/professionals (e.g., providing more efficient support). Adequate informing and involving all stakeholders and centrally positioning the needs and possibilities of service users were reported as important facilitators. Contrary, impeding factors were malfunctioning Internet, expenses of eHealth, and lack of proper IT-support. The results provide imperative information for future eHealth implementations and to direct its use more specifically to people with ID.
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http://dx.doi.org/10.3109/13668250.2020.1744878 | DOI Listing |
Open Forum Infect Dis
January 2025
Division of Infectious Diseases, St Michael's Hospital, Toronto, Canada.
Background: Hepatitis C virus (HCV) has emerged as a sexually transmitted infection in gay, bisexual, and other men who have sex with men (GBM). We estimated the seroprevalence and incidence of HCV infection and examined patterns of HCV testing among GBM using human immunodeficiency virus preexposure prophylaxis (PrEP) in Ontario, Canada.
Methods: We analyzed data from the Ontario PrEP Cohort Study (ON-PrEP), a prospective cohort of PrEP users from 10 Ontario clinics.
Explor Res Clin Soc Pharm
March 2025
School of Pharmacy, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor, Malaysia.
Background: Active pharmaceutical residues introduced into the environment through irresponsible household disposal of unused and expired medication can damage nature and health. Through medication take-back programmes, these risks can be mitigated. However, healthcare professionals' neglect of their responsibility to ensure proper disposal practices has perpetuated subpar norms among the public.
View Article and Find Full Text PDFTransportmetr A Transp Sci
February 2023
Department of Transport and Planning, Delft University of Technology, Delft, Netherlands.
On-demand mobility services (FLEX) are often proposed as a solution for the first/last mile problem. We study the potential of using FLEX to improve train station access by means of a three-step sequential stated preference survey. We compare FLEX with the bicycle, car and public transport for accessing two alternative train stations.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Mathematics and Computer Science Department, University of the Balearic Islands, Ctra Valldemossa, Km 7.5, Palma, 07122, Balearic Islands, Spain.
Background: MetaDAG is a web-based tool developed to address challenges posed by big data from omics technologies, particularly in metabolic network reconstruction and analysis. The tool is capable of constructing metabolic networks for specific organisms, sets of organisms, reactions, enzymes, or KEGG Orthology (KO) identifiers. By retrieving data from the KEGG database, MetaDAG helps users visualize and analyze complex metabolic interactions efficiently.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
Background And Objective: Cloud-based Deep Learning as a Service (DLaaS) has transformed biomedicine by enabling healthcare systems to harness the power of deep learning for biomedical data analysis. However, privacy concerns emerge when sensitive user data must be transmitted to untrusted cloud servers. Existing privacy-preserving solutions are hindered by significant latency issues, stemming from the computational complexity of inner product operations in convolutional layers and the high communication costs of evaluating nonlinear activation functions.
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