Browsing St. Olavs hospital by Author "Bach, Kerstin"
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Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project
Granviken, Fredrik; Meisingset, Ingebrigt; Vasseljen, Ottar; Bach, Kerstin; Bones, Anita Formo; Klevanger, Nina Elisabeth (Journal article; Peer reviewed, 2023)Background We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) ... -
Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study
Kongsvold, Atle Austnes; Flaaten, Mats; Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle (Peer reviewed; Journal article, 2023)Background Despite apparent shortcomings such as measurement error and low precision, self-reported sedentary time is still widely used in surveillance and research. The aim of this study was threefold; (i) to examine ... -
Effect of an Artificial Intelligence-Based Self-Management App on Musculoskeletal Health in Patients With Neck and/or Low Back Pain Referred to Specialist Care: A Randomized Clinical Trial
Marcuzzi, Anna; Nordstoga, Anne Lovise; Bach, Kerstin; Aasdahl, Lene; Nilsen, Tom Ivar Lund; Bardal, Ellen Marie; Boldermo, Nora; Bertheussen, Gro Falkener; Marchand, Gunn Hege; Gismervik, Sigmund Østgård; Mork, Paul Jarle (Peer reviewed; Journal article, 2023)Importance Self-management is a key element in the care of persistent neck and low back pain. Individually tailored self-management support delivered via a smartphone app in a specialist care setting has not been ... -
Individually tailored self-management app-based intervention (selfBACK) versus a self-management web-based intervention (e-Help) or usual care in people with low back and neck pain referred to secondary care: protocol for a multiarm randomised clinical trial
Marcuzzi, Anna; Bach, Kerstin; Nordstoga, Anne Lovise; Bertheussen, Gro Falkener; Ashikhmin, Ilya; Boldermo, Nora; Kvarner, Else-Norun; Nilsen, Tom Ivar Lund; Marchand, Gunn Hege; Ose, Solveig Osborg; Aasdahl, Lene; Kaspersen, Silje Lill; Bardal, Ellen Marie; Børke, Janne-Birgitte; Mork, Paul Jarle; Gismervik, Sigmund Østgård (Peer reviewed; Journal article, 2021)Introduction: Low back pain (LBP) and neck pain (NP) are common and costly conditions. Self-management is a key element in the care of persistent LBP and NP. Artificial intelligence can be used to support and tailor ... -
A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information
Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Kongsvold, Atle Austnes; Bach, Kerstin; Mork, Paul Jarle (Journal article; Peer reviewed, 2024)Purpose: Body-worn accelerometers are commonly used to estimate sleep duration in population-based studies. However, since accelerometry-based sleep/wake-scoring relies on detecting body movements, the prediction of sleep ...