Publikationer

SelfBack er baseret på flere års forskning udført af nogle af verdens førende forskere og klinikere indenfor det muskuloskeletale område. Det internationale konsortium arbejder stadig med SelfBacks datagrundlag og er i gang med flere studier, der skal belyse fordelene ved SelfBack. Disse forventes at blive udgivet løbende over en årrække.

Herunder kan ses et udsnit af de mest omfattende og største studier der er lavet omkring SelfBack.

August 2018

A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the SelfBACK Project

Low back pain (LBP) is a leading cause of disability worldwide. Most patients with LBP encountered in primary care settings have nonspecific LBP, that is, pain with an unknown pathoanatomical cause. Self-management in the form of physical activity and strength and flexibility exercises along with patient education constitute the core components of the management of nonspecific LBP. However, the adherence to a self-management program is challenging for most patients, especially without feedback and reinforcement. Here we outline a protocol for the design and implementation of a decision support system (DSS), selfBACK, to be used by patients themselves to promote self-management of LBP.

Læs Publikation

December 2019

An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the SelfBACK Randomized Controlled Trial

Low back pain (LBP) is prevalent across all social classes, in all age groups, and across industrialized and developing countries. From a global perspective, LBP is considered the leading cause of disability and negatively impacts everyday life and well-being. Self-management is a recommended first-line treatment, and mobile apps are a promising platform to support self-management of conditions like LBP. In the selfBACK project, we have developed a digital decision support system made available for the user via an app intended to support tailored self-management of nonspecific LBP.

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August 2021

RCT - Effectiveness of App-Delivered, Tailored Self-management Support for Adults With Lower Back Pain–Related Disability

Is selfBACK, an evidence-based, individually tailored self-management support system that is delivered through an artificial intelligence–based app and in conjunction with usual care, effective for pain-related disability in adults with lower back pain?

Multimorbidity and co-occurring musculoskeletal pain do not modify the effect of the SELFBACK app on low back pain-related disability

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Februar 2022

Multimorbidity and co-occurring musculoskeletal pain do not modify the effect of the SELFBACK app on low back pain-related disability

SELFBACK, an artificial intelligence (AI)-based app delivering evidence-based tailored self-management support to people with low back pain (LBP), has been shown to reduce LBP-related disability when added to usual care. LBP commonly co-occurs with multimorbidity (≥ 2 long-term conditions) or pain at other musculoskeletal sites, so this study explores if these factors modify the effect of the SELFBACK app or influence outcome trajectories over time.

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Januar 2023

The selfBACK artificial intelligence-based smartphone app can improve low back pain outcome even in patients with high levels of depression or stress

selfBACK provides individually tailored self-management support for low back pain (LBP) via an artificial intelligence-based smartphone app. We explore whether those with depressive/stress symptoms can benefit from this technology.

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Publikationer

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