English
norskBrowsing Fakultet for naturvitenskap og teknologi by Author "Årsand, Eirik"
Now showing items 21-40 of 41
-
Information and communication technology-based interventions for chronic diseases consultation: Scoping review
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-29)Background: Medical consultations are often critical meetings between patients and health personnel to provide treatment, health-management advice, and exchange of information, especially for people living with chronic diseases. The adoption of patient-operated Information and Communication Technologies (ICTs) allows the patients to actively participate in their consultation and treatment. The ... -
Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013-03-27) -
A Low-Intensity Mobile Health Intervention With and Without Health Counseling for Persons With Type 2 Diabetes, Part 1: Baseline and Short-Term Results From a Randomized Controlled Trial in the Norwegian Part of RENEWING HEALTH
(Journal article; Tidsskriftartikkel; Peer reviewed, 2014-12-11) -
Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-06)<i>Background</i>: There is growing evidence that apps and digital interventions have a positive impact on diabetes self-management. Standard self-management for patients with diabetes could therefore be supplemented by apps and digital interventions to increase patients’ skills. Several initiatives, models, and frameworks suggest how health apps and digital interventions could be evaluated, but ... -
A Mobile Health Intervention for Self-Management and Lifestyle Change for Persons With Type 2 Diabetes, Part 2: One-Year Results From the Norwegian Randomized Controlled Trial RENEWING HEALTH
(Journal article; Tidsskriftartikkel; Peer reviewed, 2014) -
Mobile Phone-Based Pattern Recognition and Data Analysis for Patients with Type 1 Diabetes
(Journal article; Tidsskriftartikkel; Peer reviewed, 2012)Persons with type 1 diabetes who use electronic self-help tools, most commonly blood glucose meters, record a large amount of data about their personal condition. Mobile phones are powerful and ubiquitous computers that have a potential for data analysis, and the purpose of this study is to explore how self-gathered data can help users improve their blood glucose management. Thirty patients with ... -
Model-driven diabetes care: study protocol for a randomized controlled trial
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013)Background: People with type 1 diabetes who use electronic self-help tools register a large amount of information about their disease on their participating devices; however, this information is rarely utilized beyond the immediate investigation. We have developed a diabetes diary for mobile phones and a statistics-based feedback module, which we have named Diastat, to give data-driven feedback ... -
A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-12)<i>Background</i>: Semisupervised and unsupervised anomaly detection methods have been widely used in various applications to detect anomalous objects from a given data set. Specifically, these methods are popular in the medical domain because of their suitability for applications where there is a lack of a sufficient data set for the other classes. Infection incidence often brings prolonged ... -
Privacy Concerns Related to Data Sharing for European Diabetes Devices
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-13)Background: Individuals with diabetes rely on medical equipment (eg, continuous glucose monitoring (CGM), hybrid closed-loop systems) and mobile applications to manage their condition, providing valuable data to health care providers. Data sharing from this equipment is regulated via Terms of Service (ToS) and Privacy Policy documents. The introduction of the Medical Devices Regulation (MDR) and In ... -
Prototyping a Diet Self-management System for People with Diabetes with Cultural Adaptable User Interface Design
(Chapter; Bokkapittel, 2014-08-22)Diet management is a critical part of diabetes selfmanagement. This project developed a working prototype application on Android-based mobile phone called SMART CARB that assists people with diabetes to self-manage their diet. The system particularly focused on monitoring carbohydrate intake in order to control their blood glucose levels. The project was positioned as a research extension to the ... -
A Telemedicine System Intervention for Patients With Type 1 Diabetes: Pilot Feasibility Crossover Intervention Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-28)Background: Today’s diabetes-oriented telemedicine systems can gather and analyze many parameters like blood glucose levels, carbohydrate intake, insulin doses, and physical activity levels (steps). Information collected can be presented to patients in a variety of graphical outputs. Despite the availability of several technical means, a large percentage of patients do not reach the goals established ... -
Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-12)<i>Background</i>: Type 1 diabetes is a chronic condition of blood glucose metabolic disorder caused by a lack of insulin secretion from pancreas cells. In people with type 1 diabetes, hyperglycemia often occurs upon infection incidences. Despite the fact that patients increasingly gather data about themselves, there are no solid findings that uncover the effect of infection incidences on key ... -
Towards a New Model for Chronic Disease Consultations
(Chapter; Bokkapittel, 2022-08-22)Medical consultations for chronic diseases form an arena to provide information from health personnel to patients. This information is necessary for patients to understand how to deal with the possible lifelong symptoms and needed self-management activities. The amount of patient-generated health data is increasing. Today’s patients gather an increasing amount of personalised health-related information. ... -
Ubiquitous digital health-related data: clarification of concepts
(Chapter; Bokkapittel, 2022-08-22)The increased development and use of ubiquitous digital services reinforce the trend where health-related data is generated everywhere. Data usage in different areas introduces different terms for the same or similar concepts. This adds to the confusion of what these terms represent. We aim to provide an overview of concepts and terms used in connection with digital twins and in a healthcare context. -
Usage and perceptions of a mobile self-management application for people with type 2 diabetes: qualitative study of a five-month trial
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013) -
Use of a Data-Sharing System During Diabetes Consultations
(Journal article; Tidsskriftartikkel; Peer reviewed, 2023)Patient-gathered self-management data and shared decision-making are touted as the answer to improving an individual’s health situation as well as collaboration between patients and their providers leading to more effective treatment plans. However, there is a gap between this ideal and reality – a lack of data-sharing technology. Here, we present the impact that the FullFlow System for sharing ... -
User Expectations and Willingness to Share Self-Collected Health Data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e. for public health. A challenge with collecting this data is to motivate people to share this data for the benefit of all. The purpose of this study is ... -
User Expectations and Willingness to Share Self-collected Health Data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e. for public health. A challenge with collecting this data is to motivate people to share this data for the benefit of all. The purpose of this study is ... -
Wearable Sensors with Possibilities for Data Exchange: Analyzing Statusand Needs of Different Actors in Mobile Health Monitoring Systems
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-31)<i>Background</i> - Wearable devices with an ability to collect various type of physiological data are increasingly becoming seamlessly integrated into everyday life of people. In the area of electronic health (eHealth), many of these devices provide remote transfer of health data, as a result of the increasing need for ambulatory monitoring of patients. This has a potential to reduce the cost ... -
What Do We Know About the Use of Chatbots for Public Health?
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)<i>Background and objective</i>: The number of publications on the use of chatbots for health is recently increasing, however to our knowledge, there are no publications summarizing what is known about using chatbots for public health yet. The objective of this work is to provide an overview of the existing scientific literature on the use of chatbots for public health, for which purpose have chatbots ...
