ObjectivesSelf-management is a concept frequently used within healthcare but lacks consensus. It is the aim of this study to clarify the concept.DesignConcept analysis according to Walker and Avant, comprises eight steps: select concept, determine purpose, identify uses, determine defining attributes, identify model case, identify additional cases, identify antecedents and consequences and define empirical referents. Sources used: PubMed, Scopus and Web of Science.ResultsTen attributes delineating the concept have been identified and organised into three groups. Group (a): person-oriented attributes: the person must (1) actively take part in the care process, (2) take responsibility for the care process and (3) have a positive way of coping with adversity. Group (b): person-environment-oriented attributes: (4) the person must be informed about the condition, disease and treatment and self-management, (5) should be individualised, which entails expressing needs, values and priorities, (6) requires openness to ensure a reciprocal partnership with healthcare providers and (7) demands openness to social support. Finally, Group (c): summarising attributes: self-management (8) is a lifetime task, (9) assumes personal skills and (10) encompasses the medical, role and emotional management.ConclusionsThe findings of this study recognise the complexity of the concept, but also show the need for further investigation to make the concept more measurable. Clarity about the concept will enhance understanding and facilitate implementation in self-management programmes for chronic conditions.

Objective:To assess the effect of high-frequency repetitive transcranial magnetic stimulation (rTMS) on lower extremities motor score (LEMS) and gait in patients with motor incomplete spinal cord injury (SCI). Method: The prospective longitudinal randomized, double-blind study assessed 17 SCI patients ASIA D. We assessed LEMS, modified Ashworth Scale (MAS), 10-m walking test (10MWT), Walking Index for SCI (WISCI II) scale, step length, cadence, and Timed Up and Go (TUG) test at baseline, after the last of 15 daily sessions of rTMS and 2 weeks later. Patients were randomized to active rTMS or sham stimulation. Three patients from the initial group of 10 randomized to sham stimulation entered the active rTMS group after a 3-week washout period. Therefore a total of 10 patients completed each study condition. Both groups were homogeneous for age, gender, time since injury, etiology, and ASIA scale. Active rTMS consisted of 15 days of daily sessions of 20 trains of 40 pulses at 20 Hz and an intensity of 90% of resting motor threshold. rTMS was applied with a double cone coil to the leg motor area. Results: There was a significant improvement in LEMS in the active group (28.4 at baseline and 33.2 after stimulation; P = .004) but not in the sham group (29.6 at baseline, and 30.9 after stimulation; P = .6). The active group also showed significant improvements in the MAS, 10MWT, cadence, step length, and TUG, and these improvements were maintained 2 weeks later. Following sham stimulation, significant improvement was found only for step length and TUG. No significant changes were observed in the WISCI II scale in either group. Conclusion: High-frequency rTMS over the leg motor area can improve LEMS, spasticity, and gait in patients with motor incomplete SCI.

Here an inertial sensor-based monitoring system for measuring and analyzing upper limb movements is presented. The final goal is the integration of this motion-tracking device within a portable rehabilitation system for brain injury patients. A set of four inertial sensors mounted on a special garment worn by the patient provides the quaternions representing the patient upper limb’s orientation in space. A kinematic model is built to estimate 3D upper limb motion for accurate therapeutic evaluation. The human upper limb is represented as a kinematic chain of rigid bodies with three joints and six degrees of freedom. Validation of the system has been performed by co-registration of movements with a commercial optoelectronic tracking system. Successful results are shown that exhibit a high correlation among signals provided by both devices and obtained at the Institut Guttmann Neurorehabilitation Hospital.

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