Project description
Tailored management of neck and low back pain
Neck and low back pain (NLBP) are leading causes of disability worldwide, with 7 out of 10 adults experiencing such pain at some point in their lives. Disease management affects both patient welfare and healthcare costs but is often based on limited evidence-based information. With this in mind, the EU-funded Back-UP project aims to develop a prognostic model to support patient-specific NLBP management. The idea is to tailor management and follow-up of individual patients’ needs and to predict the outcome of a certain treatment. The Back-UP tool will use clinical information including patients’ personal and health characteristics alongside data on psychological, behavioural and socioeconomic factors related to NLBP.
Objective
Neck and low back pain (NLBP) are leading causes for years lived with disability in Europe and worldwide. About 70% of all adults experience NLBP at some point in their lives, and both conditions are among the top ten in terms of overall disease burden expressed as disability adjusted life years. Management of NLBP is a difficult challenge for healthcare professionals since their decisions have a decisive impact on the patient’s future health and welfare, as well as on the economic burden on the public and private healthcare systems. However, health professionals often lack appropriate information to tailor the management and follow-up of individual patients and to predict the outcome of a certain treatment. At European level, diverse research initiatives are undergoing at this moment for tackling NLBP from diverse angles, including biomarkers (PainOmics), pain self-management (selfBACK), lifestyle and workplace conditions (AHA), or patients stratification (STarT Back). Back-UP project provides a wider vision of NLBP, bringing together the research groups that are leading these and other innovative approaches to create a prognostic model to underpin more effective and efficient management of NLBP based on the digital representation of multidimensional clinical information and on simulations of the outcomes of possible interventions. Patient-specific models will provide a personalised evaluation of the patient case, using multidimensional health data from the following sources: personal, health, psychological, behavioural, and socioeconomic factors related to NLBP; biological patient characteristics, including musculoskeletal structures and function, and molecular data; and workplace and lifestyle risk factors. Back-UP will provide health, well-being and economic benefits to different user profiles (clinicians, employers / insurance companies and patients) and will create a channel for sharing information during the rehabilitation and return to work process.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
46022 Valencia
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.