The journal of pain : official journal of the American Pain Society
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The experience of phantom limb pain (PLP) is a common consequence of limb amputation, resulting in severe impairments of the affected person. Previous studies have shown that several factors such as age at or site of amputation are associated with the emergence and maintenance of PLP. In this cross-sectional study we assessed the presence of several phantom phenomena including PLP and other amputation-related information in a sample of 3,374 unilateral upper and lower limb amputees. ⋯ These results suggest that distinct variables are associated with PLP (age at amputation, level of amputation, PLS intensity, referred sensations, intensity of telescoping, RLP intensity) and RLP (PLP intensity) and point at partly different mechanisms for the emergence and maintenance of PLP and RLP. PERSPECTIVE: Clinical/demographic variables as well as perceptual variables are 2 major components related to PLP and explain ∼11% and ∼17% of the variance. These results could potentially help clinicians to understand which factors may contribute to chronic phantom limb pain.
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Competency-based education is now considered the best approach for pain educational programs provided for pre and postgraduate healthcare providers (HCPs). To demonstrate learners' progression, an assessment tool that aligns with this educational approach and targets different HCPs is needed. A Pain Competence Assessment Tool (PCAT) was developed based on the pain management core competencies that align with the International Association for the Study of Pain interprofessional pain curriculum. ⋯ The PCAT offers a first-of-its-kind tool for assessing HCPs' competence (ie, knowledge and its application) in managing chronic pain. Future research is needed for further validation and adaptation of the PCAT. PERSPECTIVE: The Pain Competence Assessment Tool (PCAT) offers a first-of-its-kind tool for assessing clinicians' core competencies that overlap between different professions and support the clinicians' capacity to successfully manage chronic pain in the real world focusing on the patient-centered perspective rather than the profession-specific perspective.
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This is a cross-sectional study that analysed the association between workplace bullying and LBP. The participants were 894 judicial civil servants from Porto Alegre, southern Brazil. Workplace Bullying was measured by the Negative Acts Questionnaire (NAQ-r) and Low Back Pain by the Nordic Questionnaire for Musculoskeletal Symptoms (NQMS). ⋯ PERSPECTIVES: As a psychosocial risk, workplace bullying may play a role in low back pain and can be focus of interventions to prevent LBP. Dose-response patterns on the association between workplace bullying and low back pain are discussed and hypotheses are raised. The paper addresses different ways of measuring and categorising bullying at work, in order to study the relationship between bullying and pain.
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Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroencephalogram (EEG) data demonstrate promising results. The primary aim of this review was to evaluate the effectiveness of ML algorithms for predicting pain intensity, phenotypes or treatment response from EEG. Electronic databases MEDLINE, EMBASE, Web of Science, PsycINFO and The Cochrane Library were searched. ⋯ PERSPECTIVE: This systematic review explores the state-of-the-art machine learning methods for predicting pain intensity, phenotype or treatment response from EEG data. Results suggest that machine learning may demonstrate clinical utility, pending further research and development. Areas for improvement, including standardized processing, reporting and the need for better methodological assessment tools, are discussed.
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The Helping to End Addiction Long-term Initiative (NIH HEAL Initiative) is an aggressive trans-NIH effort to speed solutions to stem the national opioid public health crisis, including through improved pain management. Toward this end, the NIH HEAL Initiative launched a common data element (CDE) program to ensure that NIH-funded clinical pain research studies would collect data in a standardized way. NIH HEAL Initiative staff launched a process to determine which pain-related core domains should be assessed by every clinical pain study and what questionnaires are required to ensure that the data is collected uniformly. ⋯ The selection of core domains will ensure that valuable clinical pain data generated by the initiative is standardized, useable for secondary data analysis, and useful for guiding future research, clinical practice decisions, and policymaking. PERSPECTIVE: The NIH HEAL Initiative launched a common data element program to ensure that NIH-funded clinical pain research studies would collect data in a standardized way. Nine core pain domains and questionnaires to measure them were chosen for studies examining acute pain and chronic pain in adults and pediatric populations.