Hassan Al-Thani (Doha / QA), Ayman El-Menyar (Doha / QA), Rafael Consunji (Doha / QA), Ruben Peralta (Doha / QA), Sandro Rizoli (Doha / QA)
Background: One of the TQIP"s most important features is that it allows for validation and risk-adjusted analyses, which are crucial for assessing trauma outcomes. Trauma Quality Improvement Program- The American College of Surgery (ACS-TQIP uses the existing infrastructure of the Committee on Trauma programs and provides feedback to participating hospitals on risk-adjusted outcomes. We analyzed and compared the performance of the Hamad Trauma Centre (HTC) with the aggregate TQIP participating centers data (April 2019-March 2020 to April 2020-March 2021). We explored the variations in trauma outcomes and quality measures, identified areas that need improvement, and leveraged existing resources to facilitate quality improvement.
Methods: We used the TQIP methodology, inclusion and exclusion criteria and outcomes.
Results: 915 patients were qualified for the TQIP database. HTC patients" demographics differed from the TQIP's aggregate data; they were younger, male, and had significantly different mechanisms of injury. During the Fall 2020, HTC was a low outlier (good performer) in one cohort (all patients) and an average performer in the remaining cohorts. However, during Fall 2021, HTC showed improvement and low outlier in two cohorts (all patients and severe TBI patients). Overall, HTC remained an average performer during the report cycles.
Conclusions: our analysis showed a potential temporal improvement in the risk-adjusted mortality, reflecting the continuous and demanding effort put together by the trauma team. ACS-TQIP for external benchmarking of quality improvement could be a contributor to better monitored patient care. Evaluating TQIP data with an emphasis on appropriate methodologies, quality measurements, corrective measures, and accurate reporting is warranted. Analyzing TQIP database reports with a focus on quality measures and accurate reporting will reveal TQIP data to be beneficial for improving patient care after implementing corrective measures
none to declare
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