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BACKGROUND: Pain is prevalent among children and adolescents. The development and implementation of Pain Neuroscience Education (PNE) strategies tailored to this population remains overlooked in contrast to the adult population. OBJECTIVE: This study sought to identify the content, delivery methods, and dosage of PNE for children and adolescents available in the literature. METHOD: We systematically searched PubMed, EMBASE, Physiotherapy Evidence Database, Scopus, Web of Science, Cochrane Library, PsycINFO, and clinical trial registration databases. Inclusion criteria consisted of studies that involved children submitted to a PNE program in community, school, clinics, hospitals or child development centers. We considered studies that included children with and without pain who received PNE strategies associated or not with self-motivational interventions. Studies focusing on psychological interventions were excluded. We extracted data on authors, publication year, country, sample characteristics, health condition, PNE content, study design, context, outcomes, duration, follow-up, main results, dropout, and adverse effects. Data extracted were qualitatively organized. RESULTS: A total of 805 studies were initially reviewed. The final sample comprised 17 studies. Common PNE topics included pain neurophysiology, biopsychosocial influences, pain concepts, self-management, and coping strategies. Delivery methods ranged from slideshows and videos to booklets, with sessions lasting 8-60 min. Schools were the most common setting for these interventions. CONCLUSION: Our review demonstrates the diversity in PNE content, delivery methods, and intervention dosages among the included studies. Most studies occurred in school settings, potentially limiting its generalizability for clinical contexts.

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OBJECTIVES: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP). METHODS: This cross-sectional study analysed responses to 30 LBP-related questions, covering self-management, risk factors and treatment. The questions were developed by experienced clinicians and researchers and were piloted with a group of consumer representatives with lived experience of LBP. The inquiries were inputted in prompt form into ChatGPT 3.5, Bing, Bard (Gemini) and ChatGPT 4.0. Responses were evaluated in relation to their accuracy, readability and presence of disclaimers about health advice. The accuracy was assessed by comparing the recommendations generated with the main guidelines for LBP. The responses were analysed by two independent reviewers and classified as accurate, inaccurate or unclear. Readability was measured with the Flesch Reading Ease Score (FRES). RESULTS: Out of 120 responses yielding 1069 recommendations, 55.8% were accurate, 42.1% inaccurate and 1.9% unclear. Treatment and self-management domains showed the highest accuracy while risk factors had the most inaccuracies. Overall, LLM-chatbots provided answers that were 'reasonably difficult' to read, with a mean (SD) FRES score of 50.94 (3.06). Disclaimer about health advice was present around 70%-100% of the responses produced. CONCLUSIONS: The use of LLM-chatbots as tools for patient education and counselling in LBP shows promising but variable results. These chatbots generally provide moderately accurate recommendations. However, the accuracy may vary depending on the topic of each question. The reliability level of the answers was inadequate, potentially affecting the patient's ability to comprehend the information.

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BACKGROUND: Machine learning (ML) efficiently processes large datasets, showing promise in enhancing clinical practice within physical therapy. OBJECTIVE: The aim of this scoping review is to provide an overview of studies using ML approaches in clinical settings of physical therapy. DATA SOURCES: A scoping review was performed in PubMed, EMBASE, PEDro, Cochrane, Web of Science, and Scopus. SELECTION CRITERIA: We included studies utilizing ML methods. ML was defined as the utilization of computational systems to encode patterns and relationships, enabling predictions or classifications with minimal human interference. DATA EXTRACTION AND DATA SYNTHESIS: Data were extracted regarding methods, data types, performance metrics, and model availability. RESULTS: Forty-two studies were included. The majority were published after 2020 (n = 25). Fourteen studies (33.3%) were in the musculoskeletal physical therapy field, nine (21.4%) in neurological, and eight (19%) in sports physical therapy. We identified 44 different ML models, with random forest being the most used. Three studies reported on model availability. We identified several clinical applications for ML-based tools, including diagnosis (n = 14), prognosis (n = 7), treatment outcomes prediction (n = 7), clinical decision support (n = 5), movement analysis (n = 4), patient monitoring (n = 3), and personalized care plan (n = 2). LIMITATION: Model performance metrics, costs, model interpretability, and explainability were not reported. CONCLUSION: This scope review mapped the emerging landscape of machine learning applications in physical therapy. Despite the growing interest, the field still lacks high-quality studies on validation, model availability, and acceptability to advance from research to clinical practice.

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BACKGROUND: Subjective pain intensity can be measured using instruments like the Faces Pain Scale-Revised (FPS-R), Verbal Rating Scale (VRS), Numerical Pain Rating Scale (NPRS), and Visual Analogue Scale (VAS). However, information on physiotherapists' and patients' knowledge and preference for these tools is scarce. OBJECTIVE: We investigated the knowledge and preference of physiotherapists and participants with musculoskeletal pain (MP) regarding the pain intensity measurement scales. METHODS: This cross-sectional study consisted of physiotherapists and participants with MP. Physiotherapists were recruited via social media for an online open survey, gathering sociodemographic, professional data, and their knowledge and preferences for pain intensity scales. Participants over 18 with MP, participated in interviews focusing on their familiarity and preferences for pain intensity scales. Data was analyzed descriptively, and Chi-squared test evaluated scale preferences. RESULTS: We included 352 physiotherapists (mean experience = 10.5 years) and 94 participants with MP. Of the physiotherapists, 94.3% were familiar with pain scales, but 30.4% struggled to differentiate them. The NPRS was the most used (56.3%) and preferred scale (52.4%). Among participants with MP, unfamiliarity was noted with all scales. After instruction, 46% preferred FPS-R, with preference varying by income and education levels (p < 0.001). CONCLUSION: We found a knowledge gap among physiotherapists in identifying pain intensity scales, with a preference for the NPRS among those familiar with the scales. Participants with MP had limited familiarity with these scales. After instructions, these participants preferred the FPS-R, particularly those with lower income and education levels.

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ABSTRACT: Recent studies highlight an interplay between pain perception and emotional responses. This necessitates a thorough investigation into how beliefs and motivational influences respond to visual stimuli of movements. Such an analysis is crucial for understanding the extent to which these factors contribute to disability levels associated with shoulder pain. We aimed to investigate the relationship between the perception of harm and the valence in images depicting shoulder movements and determine how these perceptions are linked to disability levels associated with shoulder pain. This cross-sectional study recruited 42 individuals with chronic shoulder pain. Participants were presented with 58 shoulder movements images. Each participant evaluated these images for emotional valence and arousal using the self-assessment manikin. For every image, they provided their level of avoidance, fear, and perception of harm in a numerical scale. We measured disability levels and pain catastrophizing using the Shoulder Pain and Disability Index and the Pain Catastrophizing Scale. A direct acyclic graph was used. Multiple linear regression analysis was conducted with shoulder disability as the dependent variable and perception of harm and valence as independent variables, adjusted for the confounders catastrophizing and arousal. This analysis resulted in a significant model (F4,37 = 11.44; adjusted R2 = 0.547; P < 0.01). The perception of harm to shoulder movement (ß = 0.11; P < 0.001; 95% confidence interval = 5.6-11.8) was significantly associated with the level of shoulder disability, whereas valence did not show a significant association (ß = 0.26; P = 0.15; 95% confidence interval = 1.7-10.8). The perception of harm associated with shoulder movements images during daily activities was associated with disability. Individuals who believe that shoulder movements are harmful have greater disability.

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INTRODUCTION AND HYPOTHESIS: The Choosing Wisely campaign is an international initiative that is aimed at promoting a dialog between professionals, helping the population to choose an evidence-based, truly necessary and risk-free care. The aim of the study was to develop the Choosing Wisely Brazil list on Women's Health Physiotherapy in the area of the pelvic floor. METHODS: A observational study was carried out between January 2022 and July 2023, proposed by the Brazilian Association of Physiotherapy in Women's Health, and developed by researchers working in the area of the pelvic floor. The development of the list consisted of six stages: a panel of experts, consensus building, national research, a review by the Choosing Wisely Brazil team, preparation of the list, and publication of the recommendations. Descriptive and content analyses were carried out in order to include evidence-based recommendations with over 80% agreement by physiotherapists in Brazil. RESULTS: The expert panel was made up of 25 physiotherapists who submitted 63 recommendations. Seven physiotherapists/researchers carried out a critical analysis of the literature and refined the recommendations, resulting in 11 recommendations that were put to a national vote, in which 222 physiotherapists took part. After a review by the Choosing Wisely Brazil team, five recommendations with an average agreement of 88.2% agreement were chosen for publication. CONCLUSIONS: The Choosing Wisely Brazil team in Physiotherapy in Women's Health/Pelvic Floor proposed a list of five recommendations that showed a high agreement among Brazilian physiotherapists working in the area.

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BACKGROUND: The development and application of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare have gained attention as a promising and powerful resource to change the landscape of healthcare. The potential of these technologies for injury prediction, performance analysis, personalized training, and treatment comes with challenges related to the complexity of sports dynamics and the multidimensional aspects of athletic performance. OBJECTIVES: We aimed to present the current state of AI and ML applications in sports science, specifically in the areas of injury prediction, performance enhancement, and rehabilitation. We also examine the challenges of incorporating AI and ML into sports and suggest directions for future research. METHOD: We conducted a comprehensive literature review, focusing on publications related to AI and ML applications in sports. This review encompassed studies on injury prediction, performance analysis, and personalized training, emphasizing the AI and ML models applied in sports. RESULTS: The findings highlight significant advancements in injury prediction accuracy, performance analysis precision, and the customization of training programs through AI and ML. However, future studies need to address challenges such as ethical considerations, data quality, interpretability of ML models, and the integration of complex data. CONCLUSION: AI and ML may be useful for the prevention, detection, diagnosis, and treatment of health conditions. In this Masterclass paper, we introduce AI and ML concepts, outline recent breakthroughs in AI technologies and their applications, identify the challenges for further progress of AI systems, and discuss ethical issues, clinical and research opportunities, and future perspectives.

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BACKGROUND: The Lancet Low Back Pain (LBP) Series highlighted the lack of LBP data from low- and middle-income countries (LMICs). The study aimed to describe (1) what LBP care is currently delivered in LMICs and (2) how that care is delivered. DESIGN: An online mixed-methods study. METHODS: A Consortium for LBP in LMICs (n = 65) was developed with an expert panel of leading LBP researchers (>2 publications on LBP) and multidisciplinary clinicians and patient partners with 5 years of clinical/lived LBP experience in LMICs. Quantitative data were analyzed using descriptive statistics. Two researchers independently analyzed qualitative data using inductive and deductive coding and developed a thematic framework. RESULTS: Forty-seven (85%) of 55 invited panel members representing 32 LMICs completed the survey (38% women, 62% men). The panel included clinicians (34%), researchers (28%), educators (6%), and people with lived experience (4%). Pharmacotherapies and electrophysiological agents were the most used LBP treatments. The thematic framework comprised 8 themes: (1) self-management is ubiquitous, (2) medicines are the cornerstone, (3) traditional therapies have a place, (4) society plays an important role, (5) imaging use is very common, (6) reliance on passive approaches, (7) social determinants influence LBP care pathway, and (8) health systems are ill-prepared to address LBP burden. CONCLUSION: LBP care in LMICs did not consistently align with the best available evidence. Findings will help research prioritization in LMICs and guide global LBP clinical guidelines. J Orthop Sports Phys Ther 2024;54(8):560-572. Epub 11 April 2024. doi:10.2519/jospt.2024.12406.

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The obesity epidemic continues to worsen worldwide, driving metabolic and chronic inflammatory diseases. Thiazolidinediones, such as rosiglitazone (Rosi), are PPARγ agonists that promote 'M2-like' adipose tissue macrophage (ATM) polarization and cause insulin sensitization. As ATM-derived small extracellular vesicles (ATM-sEVs) from lean mice are known to increase insulin sensitivity, we assessed the metabolic effects of ATM-sEVs from Rosi-treated obese male mice (Rosi-ATM-sEVs). Here we show that Rosi leads to improved glucose and insulin tolerance, transcriptional repolarization of ATMs and increased sEV secretion. Administration of Rosi-ATM-sEVs rescues obesity-induced glucose intolerance and insulin sensitivity in vivo without the known thiazolidinedione-induced adverse effects of weight gain or haemodilution. Rosi-ATM-sEVs directly increase insulin sensitivity in adipocytes, myotubes and primary mouse and human hepatocytes. Additionally, we demonstrate that the miRNAs within Rosi-ATM-sEVs, primarily miR-690, are responsible for these beneficial metabolic effects. Thus, using ATM-sEVs with specific miRNAs may provide a therapeutic path to induce insulin sensitization.

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BACKGROUND: Computational linguistics allows an understanding of language structure and different forms of expression of patients' perceptions. AIMS: The aims of this study were (i) to carry out a descriptive analysis of the discourse of people with chronic low back pain using sentiment analysis (SA) and network analysis; (ii) to verify the correlation between patients' profiles, pain intensity and disability levels with SA and network analysis; and (iii) to identify clusters in our sample according to language and SA using an unsupervised machine learning technique. METHODS: We performed a secondary analysis of a qualitative study including participants with chronic non-specific low back pain. We used the data related to participants' feelings when they received the diagnosis. The SA and network analysis were performed using the Valence Aware Dictionary and sEntiment Reasoner, and the Speech Graph, respectively. Clustering was performed using the K-means algorithm. RESULTS: In the SA, the mean composite score was -0.31 (Sd. = 0.58). Most participants presented a negative discourse (n = 41; 72%). Word Count (WC) and Largest Strongly connected Component (LSC) positively correlated with education. No statistically significant correlations were observed between pain intensity, disability levels, SA, and network analysis. Two clusters were identified in our sample. CONCLUSION: The SA showed that participants reported their feeling when describing the moment of the diagnosis using sentences with negative discourse. We did not find a statistically significant correlation between pain intensity, disability levels, SA, and network analysis. Education level presented positive correlation with WC and LSC.

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The potential to classify low back pain as being characterised by dominant nociceptive, neuropathic, or nociplastic mechanisms is a clinically relevant issue. Preliminary evidence suggests that these low back pain phenotypes might respond differently to treatments; however, more research must be done before making specific recommendations. Accordingly, the low back pain phenotyping (BACPAP) consortium was established as a group of 36 clinicians and researchers from 13 countries (five continents) and 29 institutions, to apply a modified Nominal Group Technique methodology to develop international and multidisciplinary consensus recommendations to provide guidance for identifying the dominant pain phenotype in patients with low back pain, and potentially adapt pain management strategies. The BACPAP consortium's recommendations are also intended to provide direction for future clinical research by building on the established clinical criteria for neuropathic and nociplastic pain. The BACPAP consortium's consensus recommendations are a necessary early step in the process to determine if personalised pain medicine based on pain phenotypes is feasible for low back pain management. Therefore, these recommendations are not ready to be implemented in clinical practice until additional evidence is generated that is specific to these low back pain phenotypes.

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OBJECTIVES: Hench introduced the fibromyalgia syndrome almost 50 years ago. In the meantime, the prevalence has increased, the clinical criteria have changed and the way we explain (chronic) pain has altered. DESIGN: In the current study, we conducted a worldwide survey in which we investigate whether medical doctors are familiar with the American College of Rheumatology (ACR) criteria for fibromyalgia and, if so, whether these medical doctors adhere to the clinical guidelines following evidence-based treatments. RESULTS: In total, 286 medical doctors from 43 countries spread over 6 continents filled out the survey. In most of the countries, the diagnosis fibromyalgia was used. Only 10% adhere to the ACR criteria, widespread pain (44%), unrefreshed sleep (24%), fatigue (20%) and cognitive problems (8%) were most used diagnostic criteria. Of the respondents, 94 (32%) mentioned that the cause is unknown or idiopathic, but also a wide variety of other causes was mentioned. More than 70 different treatment options were provided, of which 24% of the responses were classified as according to the clinical guidelines. From this study, we conclude that many medical doctors do not follow the ACR criteria; the majority has an inappropriate knowledge of causes for fibromyalgia and that a minority of treatment advice adhere to the guidelines.

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ABSTRACT BACKGROUND AND OBJECTIVES: Shoulder pain is a limiting condition that has a major impact on daily activities and work. Knowing which specific activities involving the shoulder are associated with the occurrence of higher levels of pain may be of interest to professionals. The use of images of shoulder movements can be an effective tool to check the presence of pain and fear of movement, break down language and cultural barriers, and facilitate communication between professional and patient. The objectives of this study were: (1) to carry out a descriptive analysis of fear responses and movement avoidance based on passive viewing of images of shoulder movements based on the International Classification of Functioning, Disability and Health (ICF) codes; (2) to check whether there is a correlation between fear responses and movement avoidance with the Shoulder Pain and Disability Index (SPADI). METHODS: In this cross-sectional observational study, individuals with chronic shoulder pain were recruited. Participants responded to the Shoulder Pain and Disability Index (SPADI) and the TAMPA Scale of Kinesiophobia (TSK) to measure the intensity of shoulder pain and disability, and fear of movement, respectively. Participants viewed 58 movement images based on codes and descriptors from the third chapter of ICF. In addition, they responded to a numerical scale to judge fear of movement and a second numerical scale to judge movement avoidance. RESULTS: The study included 42 individuals. The activities belonging to the mobility subgroup (chapter 4), which refers to chapter 3 of the ICF, are those that present greater responses of fear and movement avoidance. Multiple regression resulted in a significant model [F(1, 40) = 31.119; p<0.001; R2 = 0.438], when verifying whether fear and movement avoidance responses related to ICF images are associated with SPADI in participants with chronic shoulder pain. The fear response is associated with SPADI (β=0.661; t=5.578; p<0.001), however, the avoidance response did not present a significant result with the scale (β=−0.063; t=-0.160; p=0.874). CONCLUSION: Movements that refer to mobility seem to be the most feared and avoided by people with chronic shoulder pain. Fear of movement is associated with shoulder disability.

RESUMO JUSTIFICATIVA E OBJETIVOS: A dor no ombro é uma condição limitante, que apresenta grande impacto nas atividades de vida diárias e no trabalho. Conhecer quais atividades específicas envolvendo o ombro estão associadas à ocorrência de maiores níveis de dor pode ser de interesse dos profissionais. A utilização de imagens de movimentos do ombro pode ser uma ferramenta eficaz para verificar a presença de dor e medo de movimento, quebrar barreiras de linguagem e culturais e facilitar a comunicação entre profissional e paciente. Os objetivos deste estudo foram: (1) realizar a análise descritiva das respostas de medo e evitação do movimento a partir da visualização passiva de imagens de movimentos do ombro baseadas nos códigos da Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF); (2) verificar se há correlação das respostas de medo e evitação do movimento com o Índice de dor e Incapacidade do Ombro (SPADI). METODOS: Neste estudo observacional do tipo transversal foram recrutadas pessoas com dor crônica no ombro. Os participantes responderam ao Shoulder Pain and Disability Index (SPADI) e à Escala TAMPA de Cinesiofobia (TSK) para mensurar a intensidade da dor e incapacidade do ombro, e de medo do movimento, respectivamente. Os participantes visualizaram 58 imagens de movimentos baseadas em códigos e descritores do terceiro capítulo de Atividade e Participação da CIF. Além disso, responderam a uma escala numérica para julgar o medo do movimento e a uma segunda escala numérica para julgar a evitação ao movimento. RESULTADOS: Participaram do estudo 42 pessoas. As atividades pertencentes ao subgrupo mobilidade (capítulo 4), referente ao capítulo 3 da CIF, são as que apresentam maiores respostas de medo e evitação do movimento. A regressão múltipla resultou em um modelo significativo [F (1, 40) = 31, 119; p<0,001; R2 = 0,438], ao verificar se as respostas de medo e evitação do movimento referente às imagens da CIF estão associadas ao SPADI dos participantes com dor crônica no ombro. A resposta de medo é associada ao SPADI (β=0,661; t=5,578; p<0,001), porém a resposta de evitação não apresentou resultado significativo com a escala (β=−0,063; t=−0,160; p=0,874). CONCLUSÃO: Os movimentos que se referem à mobilidade parecem ser os mais temidos e evitados por pessoas com dor crônica no ombro. O medo do movimento está associado com a incapacidade do ombro.

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OBJECTIVES: The rise in opioid prescriptions with a parallel increase in opioid use disorders remains a significant challenge in some developed countries (opioid epidemic). However, little is known about opioid consumption in low- and middle-income countries (LMICs). In this short report, we aim to discuss the increase in opioid consumption in LMICs by providing an update on the opioid perspective in Brazil. METHODS: We analyzed opioid sales on the publicly available Brazilian Health Regulatory Agency (ANVISA) database from 2015 to 2020. RESULTS: In Brazil, opioid sales increased 34.8 %, from 8,839,029 prescriptions in 2015 to 11,913,823 prescriptions in 2020, this represents an increase from 44 to 56 prescriptions for every 1,000 inhabitants. Codeine phosphate combined with paracetamol and tramadol hydrochloride were the most common opioids prescribed with an increase each year. CONCLUSIONS: The results suggest that opioid prescriptions are rising in Brazil in a 5 years period. Brazil may have a unique opportunity to learn from other countries and develop consistent policies and guidelines to better educate patients and prescribers and to prevent an opioid crisis.

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Pain is a major public health concern associated with emotional disorders and physical disability and generates increased sick leave and healthcare expenditures. However, despite its social impact and the high pain-related costs, the training of healthcare professionals, such as physical therapists, in pain management is insufficient, leading to an inadequate therapeutic approach. This study aimed to determine the existence of a specific program on pain within the curricula of physical therapy careers in accredited universities in Chile. Out of 40 physical therapy careers, we analyzed 38 curricula. None of them had a specific discipline on pain management in their curricula. Although there is no concrete definition of the best modality for pain education in undergraduate students, it has been shown that following the International Association for The Study of Pain curricula improves students' knowledge and awareness of pain management.

El dolor es un importante problema de salud pública, asociado con trastornos emocionales y discapacidad física, generando un aumento en licencias laborales y gastos en el sistema de salud. Sin embargo, a pesar del impacto social y los altos costos relacionados con el dolor, hay una capacitación insuficiente en la formación de los profesionales de la salud, como kinesiólogos y fisioterapeutas sobre el manejo del dolor, lo que lleva a un abordaje terapéutico inadecuado. El objetivo de este estudio fue determinar la existencia de un programa específico en dolor dentro de las mallas curriculares de las carreras de kinesiología en universidades acreditadas en Chile. De 40 carreras de kinesiología, analizamos 38 mallas curriculares. Ninguna de ellas presentaba una disciplina específica sobre dolor en su plan de estudios. Si bien no hay una definición concreta sobre la mejor modalidad para la educación en dolor en alumnos de pregrado, se ha demostrado que seguir los planes de estudios de la impacta significativamente en el conocimiento y las creencias del dolor de los estudiantes.

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El dolor es un importante problema de salud pública, asociado con trastornos emocionales y discapacidad física, generando un aumento en licencias laborales y gastos en el sistema de salud. Sin embargo, a pesar del impacto social y los altos costos relacionados con el dolor, hay una capacitación insuficiente en la formación de los profesionales de la salud, como kinesiólogos y fisioterapeutas sobre el manejo del dolor, lo que lleva a un abordaje terapéutico inadecuado. El objetivo de este estudio fue determinar la existencia de un programa específico en dolor dentro de las mallas curriculares de las carreras de kinesiología en universidades acreditadas en Chile. De 40 carreras de kinesiología, analizamos 38 mallas curriculares. Ninguna de ellas presentaba una disciplina específica sobre dolor en su plan de estudios. Si bien no hay una definición concreta sobre la mejor modalidad para la educación en dolor en alumnos de pregrado, se ha demostrado que seguir los planes de estudios de la impacta significativamente en el conocimiento y las creencias del dolor de los estudiantes.

Pain is a major public health concern associated with emotional disorders and physical disability and generates increased sick leave and healthcare expenditures. However, despite its social impact and the high pain-related costs, the training of healthcare professionals, such as physical therapists, in pain management is insufficient, leading to an inadequate therapeutic approach. This study aimed to determine the existence of a specific program on pain within the curricula of physical therapy careers in accredited universities in Chile. Out of 40 physical therapy careers, we analyzed 38 curricula. None of them had a specific discipline on pain management in their curricula. Although there is no concrete definition of the best modality for pain education in undergraduate students, it has been shown that following the International Association for The Study of Pain curricula improves students' knowledge and awareness of pain management.

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Actions towards the health-related Sustainable Development Goal 3.4 typically focus on non-communicable diseases (NCDs) associated with premature mortality, with less emphasis on NCDs associated with disability, such as musculoskeletal conditions-the leading contributor to the global burden of disability. Can systems strengthening priorities for an underprioritised NCD be codesigned, disseminated and evaluated? A 'roadmap' for strengthening global health systems for improved musculoskeletal health was launched in 2021. In this practice paper, we outline dissemination efforts for this Roadmap and insights on evaluating its reach, user experience and early adoption. A global network of 22 dissemination partners was established to drive dissemination efforts, focussing on Africa, Asia and Latin America, each supported with a suite of dissemination assets. Within a 6-month evaluation window, 52 Twitter posts were distributed, 2195 visitors from 109 countries accessed the online multilingual Roadmap and 138 downloads of the Roadmap per month were recorded. Among 254 end users who answered a user-experience survey, respondents 'agreed' or 'strongly agreed' the Roadmap was valuable (88.3%), credible (91.2%), useful (90.1%) and usable (85.4%). Most (77.8%) agreed or strongly agreed they would adopt the Roadmap in some way. Collection of real-world adoption case studies allowed unique insights into adoption practices in different contexts, settings and health system levels. Diversity in adoption examples suggests that the Roadmap has value and adoption potential at multiple touchpoints within health systems globally. With resourcing, harnessing an engaged global community and establishing a global network of partners, a systems strengthening tool can be cocreated, disseminated and formatively evaluated.

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