Background: Magnetic resonance imaging (MRI) is being used extensively in the search for pathoanatomical factors contributing to low back pain (LBP) such as Modic changes (MC). However, it remains unclear whether clinical findings can identify patients with MC. The purpose of this explorative study was to assess the predictive value of six clinical tests and three questionnaires commonly used with patients with low-back pain (LBP) on the presence of Modic changes (MC).Methods: A retrospective cohort study was performed using data from Dutch military personnel in the period between April 2013 and July 2016. Questionnaires included the Roland Morris Disability Questionnaire, Numeric Pain Rating Scale, and Pain Self-Efficacy Questionnaire. The clinical examination included (i) range of motion, (ii) presence of pain during flexion and extension, (iii) Prone Instability Test, and (iv) straight leg raise. Backward stepwise regression was used to estimate predictive value for the presence of MC and the type of MC. The exploration of clinical tests was performed by univariable logistic regression models.Results: Two hundred eighty-six patients were allocated for the study, and 112 cases with medical records and MRI scans were available; 60 cases with MC and 52 without MC. Age was significantly higher in the MC group. The univariate regression analysis showed a significantly increased odds ratio for pain during flexion movement (2.57 [95% confidence interval (CI): 1.08-6.08]) in the group with MC. Multivariable logistic regression of all clinical symptoms and signs showed no significant association for any of the variables. The diagnostic value of the clinical tests expressed by sensitivity, specificity, positive predictive, and negative predictive values showed, for all the combinations, a low area under the curve (AUC) score, ranging from 0.41 to 0.53. Single-test sensitivity was the highest for pain in flexion: 60% (95% CI: 48.3-70.4).Conclusion: No model to predict the presence of MC, based on clinical tests, could be demonstrated. It is therefore not likely that LBP patients with MC are very different from other LBP patients and that they form a specific subgroup. However, the study only explored a limited number of clinical findings and it is possible that larger samples allowing for more variables would conclude differently.
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Background: Rising healthcare costs, an increasing general practitioner shortage and an aging population have made healthcare organization transformation a priority. To meet these challenges, traditional roles of non-medical members have been reconsidered. Within the domain of physiotherapy, there has been significant interest in Extended Scope Physiotherapy (ESP). Although studies have focused on the perceptions of different stakeholders in relation to ESP, there is a large variety in the interpretation of ESP. Aim: To identify a paradigm of ESP incorporating goals, roles and tasks, to provide a consistent approach for the implementation of ESP in primary care. Methods: An exploratory, qualitative multi-step design was used containing a scoping review, focus groups and semi-structured interviews. The study population consisted of patients, physiotherapists, general practitioners and indirect stakeholders such as lecturers, health insurers and policymakers related to primary care physiotherapy. The main topics discussed in the focus groups and semi-structured interviews were the goals, skills and roles affiliated with ESP. The ‘framework’ method, developed by Ritchie & Spencer, was used as analytical approach to refine the framework. Results: Two focus groups and twelve semi-structured interviews were conducted to explore stakeholder perspectives on ESP in Dutch primary care. A total of 11 physiotherapists, six general practitioners, five patients and four indirect stakeholders participated in the study. There was a lot of support for ‘decreasing healthcare costs’, ‘tackling increased health demand’ and ‘improving healthcare effectiveness’ as main goals of ESP. The most agreement was reached on ‘triaging’, ‘referring to specialists’ and ‘ordering diagnostic imaging’ as tasks fitting for ESP. Most stakeholders also supported ‘working in a multidisciplinary team’, ‘working as a consultant’ and ‘an ESP role separated from a physiotherapist role’ as roles of ESP. Conclusions: Based on the scoping review, focus groups and interviews with direct and indirect stakeholders, it appears that there is sufficient support for ESP in the Netherlands. This study provides a clear presentation of how ESP can be conceptualized in primary care. A pilot focused on determining the feasibility of ESP in Dutch primary care will be the next step.
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This year, OPTIMAX was warmly welcomed by University College Dublin. For the sixth time students and teachers from Europe, South Africa, South America and Canada have come together enthusiastically to do research in the Radiography domain. As in previous years, there were several research groups consisting of PhD-, MSc- and BSc students and tutors from the OPTIMAX partner Universities or on invitation by partner Universities. OPTIMAX 2018 was partly funded by the partner Universities and partly by the participants.
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From an evidence-based perspective, cardiopulmonary exercise testing (CPX) is a well-supported assessment technique in both the United States (US) and Europe. The combination of standard exercise testing (ET) (ie, progressive exercise provocation in association with serial electrocardiograms [ECG], hemodynamics, oxygen saturation, and subjective symptoms) and measurement of ventilatory gas exchange amounts to a superior method to: 1) accurately quantify cardiorespiratory fitness (CRF), 2) delineate the physiologic system(s) underlying exercise responses, which can be applied as a means to identify the exercise-limiting pathophysiologic mechanism(s) and/or performance differences, and 3) formulate function-based prognostic stratification. Cardiopulmonary ET certainly carries an additional cost as well as competency requirements and is not an essential component of evaluation in all patient populations. However, there are several conditions of confirmed, suspected, or unknown etiology where the data gained from this form of ET is highly valuable in terms of clinical decision making
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Depression is a highly prevalent and seriously impairing disorder. Evidence suggests that music therapy can decrease depression, though the music therapy that is offered is often not clearly described in studies. The purpose of this study was to develop an improvisational music therapy intervention based on insights from theory, evidence and clinical practice for young adults with depressive symptoms. The Intervention Mapping method was used and resulted in (1) a model to explain how emotion dysregulation may affect depressive symptoms using the Component Process Model (CPM) as a theoretical framework; (2) a model to clarify as to how improvisational music therapy may change depressive symptoms using synchronisation and emotional resonance; (3) a prototype Emotion-regulating Improvisational Music Therapy for Preventing Depressive symptoms (EIMT-PD); (4) a ten-session improvisational music therapy manual aimed at improving emotion regulation and reducing depressive symptoms; (5) a program implementation plan; and (6) a summary of a multiple baseline study protocol to evaluate the effectiveness and principles of EIMT-PD. EIMT-PD, using synchronisation and emotional resonance may be a promising music therapy to improve emotion regulation and, in line with our expectations, reduce depressive symptoms. More research is needed to assess its effectiveness and principles.
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The main objective of this report is to analyse and inform about international labour mobility, particularly within Europe, from the perspective of the Dutch Health and Social Care Sector. The report starts by describing the introduction of a new care system in The Netherlands. The government does not participate directly in the actual provision of care. This is a task principally for private care suppliers. Furthermore, the legal position of the Health and Social Care professions, regulated through the Individual Health Care Professions Act, and questions like the international recognition of degrees and the evaluation of foreign diplomas are discussed. This is followed by a clarification of the Dutch education system, particularly, relating to the study of medicine, nursing education and social work education. Subsequently, some core data on the ageing Dutch population are presented. The grey pressure increases and this will have an impact on health spending, health support and the future labour market. Then what follows is a description of the development of employment in the Dutch Health and Social Care Sector, per branch as well as the professions that are engaged in it. The general picture, at this moment, is that the Health and Social Care labour market is reasonably in balance. This trend will continue in the near future; shortages are expected only in the long term. All research done on the subject indicates that international mobility of medical and social professionals is still low in the Netherlands. The question remains whether a more active recruitment policy would be a solution for the expected long term shortages. The report concludes with a look at recruitment policy and some of its developments at the global, national and local level.
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INTRODUCTION: Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. Identifying the factors contributing to these differences could support tailored PA interventions. This study aims to examine factors associated with physical activity levels among pre-frail and frail older adults in rural China.METHODS: This is a cross-sectional study. A total of 284 (pre)frail older adults (aged ≥60 years) were included from ten rural healthcare centers in Northeast China. Participants were categorized into low-moderate and high physical activity groups assessed using the Short Form International Physical Activity Questionnaire. Four-dimensional data were collected, including demographics, health behaviors, objective physical performance measures, and self-reported perceived health profiles. Extreme Gradient Boosting (XGBoost), a machine learning algorithm, was employed for binary classification (low-moderate vs. high physical activity). Model performance was assessed using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, precision, and F1-score. To enhance interpretability, SHapley Additive exPlanations (SHAP) were utilized to identify key predictive variables.RESULTS: Mean age of participants was 70 years (59% female, 86% farmers). The low-moderate group averaged 1,187 MET/week, while the high physical activity group reached 8,162 MET/week. Physical performance tests showed significantly better scores in the high PA group. The XGBoost model achieved 82.4% accuracy (AUC: 0.769, specificity: 90%, sensitivity: 63%). SHAP analysis revealed that self-reported social support, general health, ambulation, and physical performance measures were the most important factors.CONCLUSION: The high physical activity group demonstrated better physical function than the low-moderate physical activity group; though, both groups showed poorer physical function compared to the general older population. Self-reported health perceptions and social support significantly correlated with physical activity levels. Addressing these factors through targeted interventions-including community-based social support programs and structured mobility-enhancing exercises-may contribute to improved health outcomes and enhanced quality of life in this population.
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