Anesthesia and analgesia
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Anesthesia and analgesia · Sep 2024
Anesthesiologists' Role in Recognition, Prevention, and Treatment of Childbirth-Related Posttraumatic Stress Disorder.
Childbirth-related posttraumatic stress disorder (CB-PTSD) is increasingly common and consequential for pregnant patients. Throughout the labor experience and beyond, anesthesiologists are central to creating a psychological safe space for patients and play an essential role in preventing, recognizing, and treating CB-PTSD. This narrative review summarizes the current literature surrounding risk factors for CB-PTSD that are relevant to anesthesiologists; patients' symptoms or signs anesthesiologists should look out for; and ways anesthesiologists may be involved in preventing and treating this condition.
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Anesthesia and analgesia · Sep 2024
Quality Improvement in the Digital Age: The Promise of Using Informatics to Improve Obstetric Anesthesia Care.
Informatics describes the study and use of processes for obtaining and utilizing data. In the clinical context, these data are then used to inform and educate providers to improve patient care. ⋯ There are countless examples of how these tools can be adapted for use in obstetric anesthesia, with evidence to support their implementation. This article thus aimed to summarize the many ways in which informatics can help clinicians to harness the power of data to improve quality and safety in obstetric anesthesia.
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Anesthesia and analgesia · Sep 2024
ReviewLack of Validity of Absolute Percentage Errors in Estimated Operating Room Case Durations as a Measure of Operating Room Performance: A Focused Narrative Review.
Commonly reported end points for operating room (OR) and surgical scheduling performance are the percentages of estimated OR times whose absolute values differ from the actual OR times by ≥15%, or by various intervals from ≥5 to ≥60 minutes. We show that these metrics are invalid assessments of OR performance. Specifically, from 19 relevant articles, multiple OR management decisions that would increase OR efficiency or productivity would also increase the absolute percentage error of the estimated case durations. Instead, OR managers should check the mean bias of estimated OR times (ie, systematic underestimation or overestimation), a valid and reliable metric.