Articles: pain-measurement.
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One of the critical components in pain management is the assessment of pain. Multidimensional measurement tools capture multiple aspects of a patient's pain experience but can be cumbersome to administer in busy clinical settings. ⋯ Our review identified eight multidimensional pain measurement tools that nurses can use in ambulatory or acute care settings to capture patients' experience of pain. The most important element in selecting a multidimensional pain measure, though, is that one tool is selected that best fits the practice and is used consistently over time.
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The objective recording of subjectively experienced pain is a problem that has not been sufficiently solved to date. In recent years, data sets have been created to train artificial intelligence algorithms to recognize patterns of pain intensity. The multimodal recognition of pain with machine learning could provide a way to reduce an over- or undersupply of analgesics, explicitly in patients with limited communication skills. ⋯ Priority should be given to the multimodal approach to the recognition of pain intensity and modality compared with unimodality. Further clinical studies should clarify whether multimodal automated recognition of pain intensity and modality is in fact superior to bimodal recognition.
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In patients with limited communication skills, the use of conventional scales or external assessment is only possible to a limited extent or not at all. Multimodal pain recognition based on artificial intelligence (AI) algorithms could be a solution. ⋯ Pain is generally recorded multimodally, based on external observation scales. With regard to automated pain recognition and on the basis of the 14 selected studies, there is to date no conclusive evidence that multimodal automated pain recognition is superior to unimodal pain recognition. In the clinical context, multimodal pain recognition could be advantageous, because this approach is more flexible. In the case of one modality not being available, e.g., electrodermal activity in hand burns, the algorithm could use other modalities (video) and thus compensate for missing information.
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A variety of valid pediatric pain assessment tools are used in clinical practice globally; however, none have been validated for use in the Pediatric Intensive Care Unit (PICU) in Greece. Furthermore, the association between pain behavioral responses and clinical status is unclear. ⋯ These pain tools were found to be suitable for this sample of children in Greece. Wider application of these tools in Greek PICUs and further research regarding their association with the clinical severity and the pain responses is required for the improvement of pain management in critically ill children.