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Sub Saharan Africa Surgical Outcomes Dataset: Site 1

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DataCite Commons2025-03-26 更新2025-04-16 收录
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https://dataverse.lib.virginia.edu/citation?persistentId=doi:10.18130/V3/3ITQE4
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This dataset includes 598 intraoperative anesthesia records from an academic center in sub-Saharan Africa. The team photographed completed intraoperative anesthesia records using a smartphone, de-identified the images, and securely uploaded them to a HIPAA-compliant server. The team collected the following comprehensive intraoperative data: demographic data, medication data, hemodynamic data, physiological data, anesthesia type, surgery type, postoperative length of stay, and 30-day postoperative mortality. This dataset can be used to identify patterns of intraoperative anesthesia practice and predict postoperative length of stay and risk of mortality based on intraoperative variables. Intraoperative anesthesia data encompasses a wide range of information that is essential for patient care during surgical procedures. However, capturing this depth of information is particularly challenging in low- and middle-income countries (LMICs), where the current electronic intraoperative anesthesia datasets are often limited in scope. As a result, a significant number of key data elements, which could be vital for clinical decision-making and research, are either missing or not available. This limitation hinders the ability to fully understand and improve patient outcomes in LMICs, so this dataset fills a critical gap by developing a method to include all data elements from the intraoperative anesthesia records. This data is patient data, but is not HIPAA regulated, and has been approved by all parties and Institutional Review Boards (IRBs) for public release.
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University of Virginia Dataverse
创建时间:
2025-01-28
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