Articles: postoperative.
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Understanding factors that explain why some women experience greater postoperative pain and consume more opioids after cesarean delivery is crucial to building an evidence base for personalized prevention. Comprehensive psychosocial assessment with validated questionnaires in the preoperative period can be time-consuming. A three-item questionnaire has shown promise as a simpler tool to be integrated into clinical practice, but its brevity may limit the ability to explain heterogeneity in psychosocial pain modulators among individuals. This study compared the explanatory ability of three models: (1) the 3-item questionnaire, (2) a 58-item questionnaire (long) including validated questionnaires (e.g., Brief Pain Inventory, Patient Reported Outcome Measurement Information System [PROMIS]) plus the 3-item questionnaire, and (3) a novel 19-item questionnaire (brief) assessing several psychosocial factors plus the 3-item questionnaire. Additionally, this study explored the utility of adding a pragmatic quantitative sensory test to models. ⋯ The brief questionnaire may be more clinically feasible than longer validated questionnaires, while still performing better and integrating a more comprehensive psychosocial assessment than the three-item questionnaire.
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Curr Opin Anaesthesiol · Apr 2024
ReviewIntraoperative EEG-based monitors: are we looking under the lamppost?
While electroencephalogram (EEG)-based depth of anesthesia monitors have been in use clinically for decades, there is still a major debate concerning their efficacy for detecting awareness under anesthesia (AUA). Further utilization of these monitors has also been discussed vividly, for example, reduction of postoperative delirium (POD).It seems that with regard to reducing AUA and POD, these monitors might be applicable, under specific anesthetic protocols. But in other settings, such monitoring might be less contributive and may have a 'built-it glass ceiling'.Recent advances in other venues of electrophysiological monitoring might have a strong theoretical rationale, and early supporting results, to offer a breakthrough out of this metaphorical glass ceiling. The purpose of this review is to present this possibility. ⋯ Attention-related monitoring might have a strong theoretical basis for the prevention of AUA, POD, and potentially other distressing postoperative outcomes, such as stroke and postoperative neurocognitive disorder. There seems to be already some initial supporting evidence in this regard.
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The aim of this study was to identify non-pharmacological pain relief therapies in children undergoing surgery. ⋯ In this study, we highlight the importance of non-pharmacological therapies in pediatric postoperative pain management. Cognitive-behavioral techniques, especially music therapy, video therapy, and therapeutic play, reduce pediatric postoperative pain. They are therefore effective therapies that nurses can use in this area. Further research into the effectiveness of storytelling is necessary, as the evidence is not entirely conclusive. More evidence is also needed on physical methods of pain relief, particularly massage.
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Curr Opin Anaesthesiol · Apr 2024
ReviewHow much does it cost to be fit for operation? The economics of prehabilitation.
Prehabilitation before elective surgery can include physical, nutritional, and psychological interventions or a combination of these to allow patients to return postoperatively to baseline status as soon as possible. The purpose of this review is to analyse the current date related to the cost-effectiveness of such programs. ⋯ Prehabilitation before elective surgery has been shown to minimize the periprocedural complications and optimization of short term follow up after surgical procedures. Recent studies included cost analysis, either based on hospital accounting data or on estimates costs. The healthcare cost was mainly reduced by shortening the number of hospitalization day. Other factors included length of ICU stay, place of the prehabilitation program (in-hospital vs. home-based) and compliance to the program.
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Anesthesia and analgesia · Apr 2024
User-Centered Design of a Machine Learning Dashboard for Prediction of Postoperative Complications.
Machine learning models can help anesthesiology clinicians assess patients and make clinical and operational decisions, but well-designed human-computer interfaces are necessary for machine learning model predictions to result in clinician actions that help patients. Therefore, the goal of this study was to apply a user-centered design framework to create a user interface for displaying machine learning model predictions of postoperative complications to anesthesiology clinicians. ⋯ Incorporating user needs and preferences into the design of a machine learning dashboard results in a display interface that clinicians rate as highly usable. Because the system demonstrates usability, evaluation of the effects of implementation on both process and clinical outcomes is warranted.