Brief, adjunctive psychoeducational group psychotherapy is associated with improved outcome for children aged 8 to 12 years with major mood disorders. Trial Registration clinicaltrials.gov Identifier: NCT00050557.

BackgroundObjective assessment methods to monitor residual limb volume following lower-limb amputation are required to enhance practitioner-led prosthetic fitting. Computer aided systems, including 3D scanners, present numerous advantages and the recent Artec Eva scanner, based on laser free technology, could potentially be an effective solution for monitoring residual limb volumes.PurposeThe aim of this study was to assess the validity and reliability of the Artec Eva scanner (practical measurement) against a high precision laser 3D scanner (criterion measurement) for the determination of residual limb model shape and volume.MethodsThree observers completed three repeat assessments of ten residual limb models, using both the scanners. Validity of the Artec Eva scanner was assessed (mean percentage error <2%) and Bland-Altman statistics were adopted to assess the agreement between the two scanners. Intra and inter-rater reliability (repeatability coefficient <5%) of the Artec Eva scanner was calculated for measuring indices of residual limb model volume and shape (i.e. residual limb cross sectional areas and perimeters).ResultsResidual limb model volumes ranged from 885 to 4399 ml. Mean percentage error of the Artec Eva scanner (validity) was 1.4% of the criterion volumes. Correlation coefficients between the Artec Eva and the Romer determined variables were higher than 0.9. Volume intra-rater and inter-rater reliability coefficients were 0.5% and 0.7%, respectively. Shape percentage maximal error was 2% at the distal end of the residual limb, with intra-rater reliability coefficients presenting the lowest errors (0.2%), both for cross sectional areas and perimeters of the residual limb models.ConclusionThe Artec Eva scanner is a valid and reliable method for assessing residual limb model shapes and volumes. While the method needs to be tested on human residual limbs and the results compared with the current system used in clinical practice, it has the potential to quantify shape and volume fluctuations with greater resolution.

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Objective Bipolar disorder (BD) and attention-deficit/hyperactivity disorder (ADHD) are often comorbid or confounded; therefore, we evaluated emotional face identification to better understand brain/behavior interactions in children and adolescents with either primary BD, primary ADHD, or typically developing controls (TDC). Method Participants included individuals 7 to 17 years of age (overall sample mean age 12.40 ± 3.01 years), with “narrow-phenotype” pediatric BD (n = 30) or ADHD (n = 38), or typically developing controls (TDC) with no psychiatric disorders themselves or in their first-degree relatives (n = 41). In the BD group, comorbid diagnoses were allowed; however, youth in the ADHD group were excluded for comorbid mood or anxiety disorders. Patient groups were not excluded for psychotropic medication use. Emotional face identification was assessed using the computerized Diagnostic Analysis of Non-Verbal Accuracy (DANVA). Results Participants with BD made significantly more identification errors on child happy faces than either TDCs (p = .03) or participants with ADHD (p = .01). Furthermore, youth with BD (0.33 ± 0.55) were more likely than youth with ADHD (0.11 ± 0.31) to make errors on low-intensity child happy faces (p = .05) but not high-intensity happy faces (p = NS). Participants with BD and ADHD made significantly more total errors in child face labeling than did TDCs, although participants with BD and ADHD did not differ from one another. Conclusion Our data suggest that youths with BD have specific alterations in emotional face identification of happy faces, an important finding that supports theories that response to positively valenced emotional stimuli may be especially salient in BD. Clinical trial registration information—Brain Imaging and Computer Games in Children With Either Bipolar Disorder, ADHD, Anxiety or Healthy Controls (BBPP); http://clinicaltrials.gov/; NCT01570426.

Background Experiencing a lower limb amputation (LLA) or spinal cord injury (SCI) is a life-changing event, affecting physical and systemic function as well as having psychological and social impacts. However, the severity of the physical impairment and/or motor disability demonstrates a poor relationship with patient-reported quality of life, suggesting that other factors determine such outcomes. As such, holistic health-related quality of life (QoL) assessment is an important tool to monitor long-term outcomes. While there are some studies that have assessed the influence of variables such as age at time of injury occurrence and time since injury on changes in QoL, there are no systematic reviews which synthesise this evidence. Methods/design All follow-up study designs will be included, where data from multiple time points are presented. Searches will target both SCI and LLA populations where a validated measure of QoL has been used: Medical Outcome Study Short-Form 36/12 or the World Health Organization Quality of Life instruments 100 and BREF. Studies must include adult participants (≥ 18 years at time of injury) and detail time since injury event and patient age. The primary objective is to establish the effects of participant age and time since injury on QoL scores. Secondary objectives include determining between-group effects (i.e. LLA vs. SCI). We will search PubMed, Embase and Web of Science databases, supplemented by hand-searching references within existing review articles and experimental studies. Reviewer pairs will conduct screening and quality assessment of included papers. Results will be stratified by impairment, QoL tool, age/time since injury and additional variables such as sex, race, comorbidity or disease aetiology, as appropriate. If sufficient high-quality data exist, a meta-analysis will be conducted. Discussion The results of this systematic review will summarise evidence of how QoL changes across the life course, relative to both patient age and time since injury, for both LLA and SCI populations. By enabling a direct comparison of different chronic conditions, disability-specific differences in QoL changes over the life course can be identified. Systematic review registration PROSPERO CRD42018096633 . Electronic supplementary material The online version of this article (10.1186/s13643-019-1108-3) contains supplementary material, which is available to authorized users.

Objective The Scottish Care Information -Diabetes Collaboration (SCI-DC) developed a computer-based information system to create a shared electronic record for use by all involved in the care of patients with diabetes mellitus. The objectives of this study were to understand primary care practitioners' views towards screening for diabetic foot disease and their experience of the SCI-DC system. Method We conducted an exploratory study using qualitative methods. Semi-structured interviews were audiotape-recorded, transcribed and subjected to thematic analysis. Seven practice nurses and six general practitioners (GPs) with special responsibility for diabetes care in NHS Lothian participated. Results Primary care clinicians reported good systems in place to screen for diabetes-related complications and to refer their patients to specialist care. Foot ulceration was rarely observed; other diabetesrelated conditions were seen as a higher priority. Most had heard of the SCI-DC foot assessment tool, but its failure to integrate with other primary care information technology (IT) systems meant it was not used in these general practices. Conclusions Adoption of the SCI-DC foot assessment tool in primary care is not perceived as clinically necessary. Although information recorded by specialist services on SCI-DC is helpful, important structural barriers to its implementation mean the potential benefits associated with its use are unlikely to be realised; greater engagement with primary care priorities for diabetes management is needed to assist its successful implementation and adoption.

Introduction As the demand for rehabilitation in orthopaedics increases, so too has the development in advanced rehabilitation technology. However, to date, there are no review papers outlining the broad scope of advanced rehabilitation technology used within the orthopaedic population. The aim of this study is to identify, describe and summarise the evidence for efficacy for all advanced rehabilitation technologies applicable to orthopaedic practice. Methods The relevant literature describing the use of advanced rehabilitation technology in orthopaedics was identified from appropriate electronic databases (PubMed and EMBASE) and a narrative review undertaken. Results Advanced rehabilitation technologies were classified into two groups: hospital-based and home-based rehabilitation. In the hospital-based technology group, we describe the use of continuous passive motion and robotic devices (after spinal cord injury) and their effect on improving clinical outcomes. We also report on the use of electromagnetic sensor technology for measuring kinematics of upper and lower limbs during rehabilitation. In the home-based technology group, we describe the use of inertial sensors, smartphones, software applications and commercial game hardware that are relatively inexpensive, user-friendly and widely available. We outline the evidence for videoconferencing for promoting knowledge and motivation for rehabilitation as well as the emerging role of virtual reality. Conclusions The use of advanced rehabilitation technology in orthopaedics is promising and evidence for its efficacy is generally supportive.

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