Introduction. The aim of this study was to assess patients and healthcare professionals (HCPs) opinions on the validity of using a biopsychosocial model rather than a biomedical model in alleviating patient symptoms/pain. Method. We constructed a questionnaire to assess beliefs on the effectiveness of using a biopsychosocial or biomedical model to develop a treatment plan to optimise patient symptoms/pain. We distributed the questionnaire to new and follow-up patients and healthcare professional in the orthopaedic department. Results. 246 questionnaires were completed - 183 patients and 63 HCPs. The patient group consisted of 77 males and 106 females, the HCP group of 27 males and 36 females. 77(42%) of patients and 9(14%) of HCPs agree the biomedical model is best suited to treat symptoms. 81(44%) of patients and 62(98%) of HCPs agree the biopsychosocial model is best suited to treat symptoms. 70(38%) of patients and 61 (97%) of HCPs agree stress can increase pain. 87(48%) of patients and 62(98%) of HCPs agree distress can increase pain. 83(45%) of patients and 56(89%) of HCPs agree stress can increase disability. 81(44%) of patients and 56(89%) of HCPs agree distress can increase disability. 39(21%) of patients and 43(68%) of HCPs agree if all investigations show no abnormality in explaining symptoms, the main contributor is stress, distress or psychological/socioeconomic factor. Conclusion. HCPs recognise the biopsychosocial model as a useful tool in managing patients pain/symptoms which not recognised by patients. HCPs believe that stress, distress, psychological/socioeconomic factors have a significant impact on a patients pain and disability when compared to patients. No conflicts of interest. No funding obtained

Background. Patients with Neck and/or Low Back Pain (NLBP) constitute a heterogeneous group with the prognosis and precise mix of factors involved varying substantially between individuals. This means that a one-size-fits-all approach is not recommended, but methods to tailor treatment to the individual needs are still relatively under-developed. Moreover, the fragmentation of disciplines involved in its study hampers achieving sound answers to clinical questions. Data mining techniques open new horizons by combining data from existing datasets, in order to select the best treatment at each moment in time to a patient based on the individual characteristics. Method. Within the Back-UP project (H2020 #777090) a multidisciplinary consortium is creating a prognostic model to support more effective and efficient management of NLBP, based on the digital representation of multidimensional clinical information. Patient-specific models provide a personalized evaluation of the patient case, using multidimensional health data from the following sources: (1) psychological, behavioral, and socioeconomic factors, (2) biological patient characteristics, including musculoskeletal structures and function, and molecular data, (3) workplace and lifestyle risk factors. Conclusion. The Back-UP system leverages shared-decision making, not only by enabling interoperability between all professionals involved in the care trajectory, but also empowering the patient in the decisions related to his/her care path. Furthermore, dynamic intervention models ensure that the patient receives the most beneficial treatment at each moment in time, considering the current position of the patient in the care path (i.e. within clinical rehabilitation, in return-to-work process or through motivational strategies supporting self-management in daily life). No conflicts of interest. Sources of funding: This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 777090

Aims

To describe the clinical, radiological, and functional outcomes in patients with isolated congenital thoracolumbar kyphosis who were treated with three-column osteotomy by posterior-only approach.