Der Schmerz
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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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In this article we address the relevance of rare diseases and their peculiarities with respect to pain therapy. Towards this end, four rare diseases (hemophilia, Morbus Fabry, dermatomyositis, and facioscapulohumeral dystrophy (FSHD)) will be presented and fundamental aspects of their pain therapies described. The diseases were chosen to showcase a pain therapy based on the WHO-step-by-step plan (hemophilia), a complex but established pain therapy (M. Fabry), and two less well established, individually adapted pain therapies (dermatomyositis, FSHD).
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The direct comparison of day care pain patients with patients from other treatment sectors with respect to sociodemographic, pain-related and psychological characteristics has not yet been the subject of systematic analyses. The project core documentation and quality assurance in pain therapy (KEDOQ-pain) of the German Pain Society (Deutsche Schmerzgesellschaft e. V.) makes this comparison possible. ⋯ The comparison of outpatients and inpatients showed significant group differences for some variables; however, the effects were very small. The evaluations suggest that pain therapy day care facilities treat a special group of pain patients that significantly differ from patients in other treatment sectors. Cautious conclusions are drawn regarding the systematic allocation of patients to care appropriate to their treatment needs.