Articles: pain-management-methods.
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Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assessment (APA). The goal is the development of objective, standardized, and generalizable instruments useful for pain assessment in different clinical contexts. ⋯ More recently, artificial neural networks such as convolutional and recurrent neural network algorithms are implemented, even in combination. Collaboration programs involving clinicians and computer scientists must be aimed at structuring and processing robust datasets that can be used in various settings, from acute to different chronic pain conditions. Finally, it is crucial to apply the concepts of explainability and ethics when examining AI applications for pain research and management.
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Pain is one of the most feared consequences of cancer for patients and their families. Many barriers may hinder optimal pain management. ⋯ Patients suffering from cancer-related pain can benefit from remote-based monitoring and education programs to improve pain management outcomes, overcome barriers, and increase adherence. Further research is needed to investigate the different available educational methods and long-term effects.
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Multiple studies indicate a lack of pain management training across a range of healthcare specialties. The online Joint Pain Education Program (OJPEP) was created to provide content covering various topics that range from general pain science to integrative care to pain management. The present study evaluates the feasibility of an interdisciplinary, self-guided, online pain management continuing education program, the OJPEP. ⋯ Though modules were acceptable per learner responses, future work is needed to: develop modules that are more engaging (e.g., interactive) and applicable to learners; and improve implementation methods to include dissemination and evaluation metrics.
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Anesthesia and analgesia · Nov 2022
A Systematic Scoping Review of Peridelivery Pain Management for Pregnant People With Opioid Use Disorder: From the Society for Obstetric Anesthesia and Perinatology and Society for Maternal Fetal Medicine.
The prevalence of pregnant people with opioid use disorder (OUD), including those receiving medications for opioid use disorder (MOUD), is increasing. Challenges associated with pain management in people with OUD include tolerance, opioid-induced hyperalgesia, and risk for return to use. Yet, there are few evidence-based recommendations for pain management in the setting of pregnancy and the postpartum period, and many peripartum pain management studies exclude people with OUD. ⋯ Opinions are conflicting on the utility and disutility of various analgesic interventions. Studies generating high-quality evidence on this topic are needed to inform care for pregnant people with OUD. Specific research areas are identified, including utility and disutility of short-term opioid use for postpartum pain management, role of continuous wound infiltration and truncal nerve blocks, nonpharmacologic analgesia options, and the best methods to support psychosocial aspects of pain management.
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Randomized Controlled Trial
Development and Testing of a Communication Intervention to Improve Chronic Pain Management in Primary Care: A Pilot Randomized Clinical Trial.
Effective communication skills are essential for optimally managing chronic pain and opioids. This exploratory, sequential mixed methods study tested the effect of a novel framework designed to improve pain-related communication and outcomes. ⋯ This study developed a novel framework and intervention for teaching clinician pain-related communications skills. Although the intervention showed promise, more intensive or multicomponent interventions may be needed to have a significant impact on clinicians' pain-related communication and pain outcomes.