Descripción del proyecto
Tratamiento personalizado del dolor cervical y lumbar
El dolor cervical y lumbar es una de las principales causas de discapacidad en el mundo, y siete de cada diez adultos lo padecen en algún momento de su vida. El tratamiento de las enfermedades afecta tanto al bienestar de los pacientes como a los costes sanitarios, pero a menudo se fundamenta en una información limitada basada en pruebas. En este sentido, el equipo del proyecto Back-UP, financiado con fondos europeos, pretende desarrollar un modelo de pronóstico para apoyar el tratamiento personalizado del dolor cervical y lumbar. La idea es adaptar la atención y el seguimiento de las necesidades de cada paciente y predecir el resultado de un determinado tratamiento. La herramienta de Back-UP utilizará información clínica, incluidas las características personales y sanitarias de los pacientes, junto con datos sobre factores psicológicos, conductuales y socioeconómicos relacionados con el dolor cervical y lumbar.
Objetivo
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.
Ámbito científico
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SC1-2017-CNECT-2
Régimen de financiación
RIA - Research and Innovation actionCoordinador
46022 Valencia
España
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.