Telehealth "readiness" can be defined as the degree to which users, health care organizations, and the health system itself are prepared to participate and succeed in its application. This project developed a readiness model for rural/remote locations in Canada. Specifically defined groups or communities with shared characteristics within a rural geographical community (i.e. practitioners, patients, the public, and health care organizations) participated in key informant interviews, awareness sessions, focus groups, and face-to-face interviews. The data were examined and organized keeping in mind Weiss' Program's Theory of Change. This approach allowed concrete and abstract factors to be considered. The model that emerged suggests that there are four types of readiness for each of the defined communities: core, engagement, structural, and non-readiness. The "communities" share some readiness factors and risks, but also exhibit unique elements. This finding is critical to acknowledge when the goal is to implement a useful, effective, and sustainable telehealth system within remote settings. Study results hold a key to understanding why technology systems have failed in the past, in spite of dedicating considerable human and financial resources towards their implementation. Notations of these findings will be helpful in future telehealth implementations within rural and isolated areas.
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BMC Oral Health
January 2025
Removable Prosthodontics Department, Faculty of Dentistry, October 6 University, Giza, Egypt.
Background: The continuous development in digital prosthodontics allowed the customization of attachments and retentive inserts which offers an easy and cheap solution for regular maintenance of locator overdentures during daily practice. The present study compared the change in retention values of the fully digitally manufactured custom-made locator attachment retentive insert with the ready-made ones after insertion, removal, and masticatory cycles.
Methods: A complete denture was constructed over a mandibular edentulous epoxy model.
Cancer Cell
January 2025
Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Halvorsen Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address:
In this issue of Cancer Cell, Ellrott et al. present machine learning models to classify samples into The Cancer Genome Atlas molecular subtypes using compact sets of genomic features. These validated, ready-to-use models are publicly available, although some clinical hurdles need to be cleared before they are fully implemented.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Business Management, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-be-University, Mumbai, India.
The purpose of this study is to evaluate the readiness of European inland transport companies for the European Green Deal by analyzing the causal relationships between key factors essential for EGD implementation. The research identifies six critical factors: Investment in Green Technologies, Policy Alignment and Compliance, Stakeholder Collaboration, Resource Management, Employee Training and Engagement, and Emission Reduction Initiatives. This research offers the first integrated evaluation of EGD readiness utilizing a combination of fuzzy-DEMATEL, multiple regression analysis, and Structural Equation Modeling aimed at uncovering systemic interactions among the factors in the system.
View Article and Find Full Text PDFLearn Health Syst
January 2025
Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine Philadelphia Pennsylvania USA.
Introduction: The rapid adoption of electronic health record (EHR) systems has resulted in extensive archives of data relevant to clinical research, hospital operations, and the development of learning health systems. However, EHR data are not frequently available, cleaned, standardized, validated, and ready for use by stakeholders. We describe an in-progress effort to overcome these challenges with cooperative, systematic data extraction and validation.
View Article and Find Full Text PDFJ Paediatr Child Health
January 2025
Head, Rockhampton Regional Clinical Unit, University of Queensland Rural Clinical School, The Range, Queensland, Australia.
Background: The aetiology of paediatric acute urinary retention (PAUR) is poorly documented across English medical literature and none from Australasia. This study aimed to document incidence, aetiology and associated time to diagnoses and treatment of PAUR in regional Australia.
Methods: This was a retrospective study of children aged 0-17 years at presentation to two regional hospitals from 01.
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