The aim of this PhD project is to investigate ambulance workers' knowledge and experiences to assess the right to self-determination and capacity to consent in prehospital meetings with patients with mental health illnesses and/or drug-related issues.
The aim of this project is to prepare for the implementation of app-based follow-up after participation in cardiac rehabilitation.
We use machine learning methods to develop and validate prediction models for health and welfare outcomes after treatment for spinal disorders.
The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.
The project aims to improve the methods for selecting sperm and embryos and increase the chance of pregnancy and live-born children.
Obesity and type 2 diabetes are associated with changes in gut microbiota and disturbed energy metabolism. Is there a crosstalk between gut bacteria and host energy metabolism?
The purpose of this PhD project is to assess whether Academic Detailing is suitable as an intervention method for pharmacy pharmacists in the subject of antibiotic treatment and resistance.
How can social consequences be established as conditioned reinforcers in children with autism, and what can challenge the establishing?
We aimed to evaluate the effectiveness of Motivational Interviewing on return to work among sick-listed people due to musculoskeletal disorders.
Detecting unknown adverse reactions of marketed medicines is challenging and needs improved methods to assess causality, as well as improved quality of clinical observations.
We aim to gain new knowledge about physiotherapists and GPs' assessments of the choice of treatment for patients with chronic musculoskeletal pain.
The project will provide new insight into the long-term consequences of early onset co-occurrent pain and psychological distress.
The project aims to increase the understanding of the role of cross-sectoral factors that constitute barriers for high quality care transitions for older people from hospital to municipal care.
This PhD project focuses on understanding needs of youth with idiopathic scoliosis and to examine how the needs can be improved by using a digital solution – e.g. a smartphone application.
The project aims to increase our knowledge of the current hand osteoarthritis pathways, the context and mechanisms for shifting tasks between health actors and care levels.
We study the effects of dietary fat quality and fiber on metabolic regulation, and explore the association between diet, gut microbiota, and metabolic regulation.
The overall aim of this project is to gain knowledge about health literacy among people with long-term conditions.
This project aims to increase knowledge about user-guided treatment and digital tools in the follow-up of patients with type 1 diabetes at an endocrinology outpatient clinic.
This qualitative study explores the barriers and opportunities related to implementing digital health solutions in non-critical emergency care within the Norwegian healthcare context.
We investigate the effect of cereal fiber on gut symptoms, gut microbiota, and metabolic regulation in people with coeliac disease or gut symptoms.
The effect of reinforcement and extinction on behavioral variability and the effects reinforcement and punishment have on rule-governed insensitivity.
This project aims to provide new knowledge on Atlantic salmon miRNAs as regulators of immune responses to other pathogens as well as stress related to sea water transfer.
This PhD project will utilize mixed methods to explore the quality of care provided to new mothers and their newborn children in Palestine
We spend much of our lives indoors where we interact with building microbiomes. We have developed methodologies to identify the microbes to which target groups are routinely exposed.
We research the role of extracellular vesicles as secreting factors from skeletal muscle, what they contain, and whether they can affect other cells.
In this project we aim to develop and test an innovative user-based programme for the implementation of falls-prevention programmes in Norway.
The LISTEN project performs research about fetal monitoring during labour and birth, in healthy women with low risk of complications.
