British journal of anaesthesia
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Preoperative risk prediction is an important component of perioperative medicine. Machine learning is a powerful tool that could lead to increasingly complex risk prediction models with improved predictive performance. Careful consideration is required to guide the machine learning approach to ensure appropriate decisions are made with regard to what we are trying to predict, when we are trying to predict it, and what we seek to do with the results.
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There is a lack of qualitative data on the negative effects of workplace stressors on the well-being of healthcare professionals in hospitals in Africa. It is unclear how well research methods developed for high-income country contexts apply to different cultural, social, and economic contexts in the global south. ⋯ The Rwandan healthcare system presents many challenges which can become profoundly stressful for the workforce. Consideration of reduced personal and collective accomplishment, of moral injury, and its diverse downstream effects on the whole healthcare system may better represent the costs of burnout Rwanda. It is likely that improving the causes of work-based stress will require a significant investment in improving staffing and working conditions.
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Higher inspired oxygen fraction during one-lung ventilation is not independently associated with postoperative pulmonary complications.
pearl -
Review Meta Analysis
Effectiveness of pain medication tapering in chronic pain patients: a systematic review and meta-analysis.
This systematic review and meta-analysis aimed to inventory all outcome measures that are affected by tapering in chronic noncancer pain and to investigate the effectiveness of tapering. ⋯ CRD42023416343 (PROSPERO).