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| http://dx.doi.org/10.1080/17513758.2024.2367893 | DOI Listing |
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First referral hospitals, often known as district hospitals, are neglected in the discourse on universal health coverage in low-income and middle-income countries (LMICs). However, these hospitals are important for delivering safe surgery for 313 million people. This study aims to understand the structures, processes and outcomes of patients undergoing surgery in these centres in LMICs.
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- The study aimed to create a new prognostic model to estimate the risk of pulmonary complications after elective surgery, which is the leading cause of post-surgery death.
- Data from a large international cohort of over 86,000 patients was used, applying machine learning techniques to identify risk factors for complications like pneumonia and respiratory distress.
- The model, named the GSU-Pulmonary Score, was validated with additional cohorts and is available as an online tool to assist in patient care and resource management, especially important during pandemic recovery.
Background: Timely and safe elective health care facilitates return to normal activities for patients and prevents emergency admissions. Surgery is a cornerstone of elective care and relies on complex pathways. This study aimed to take a whole-system approach to evaluating access to and quality of elective health care globally, using inguinal hernia as a tracer condition.
View Article and Find Full Text PDFBackground: Surgical site infection (SSI) is a major burden on patients and health systems. This study assessed the cost-effectiveness of routine change of sterile gloves and instruments before abdominal wall closure to prevent SSI.
Methods: A decision-analytic model was built to estimate average costs and outcomes of changing gloves and instruments before abdominal wall closure compared with current practice.
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