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Published on: August 1, 2019
[Quality indicators for colon cancer surgery : Evidence-based development of a set of indicators for the outcome
J Hardt1, H-J Buhr2, C Klinger2
1Chirurgische Klinik, Universitätsmedizin Mannheim (UMM), Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland.
Background:
Quality assessment in surgery is gaining in importance. Although sporadic recommendations for quality indicators (QI) in oncological colon surgery can be found in the literature, these are usually not systematically derived from a solid evidence base. Moreover, reference ranges for QI are unknown.
Objective:
The aim of this initiative was the development of evidence-based QI for oncological colon resections by an expert panel invited by the German Society of General and Visceral Surgery (DGAV). Reference ranges from the literature and reference values from the Study, Documentation, and Quality Center (StuDoQ)|Colon Cancer Register were compared in order to deduce recommendations which are tailored to the German healthcare system.
Results:
Based on the most recent scientific evidence and agreed by expert consensus, five QI for oncological colon surgery were defined and evaluated according to the QUALIFY tool. Mortality, MTL30 (mortality, transfer to another acute care hospital, or length of stay ≥30 days), anastomotic leakage requiring reintervention, surgical site infections necessitating reopening of the wound and ≥12 lymph nodes in the specimen qualified as QI owing to their relevance, scientific nature, and practicability. Based on the results of the systematic literature search and the statistical analysis of the StuDoQ|Colon Cancer Register, preliminary reference values are proposed for each QI.
Conclusion:
The presented set of QI seems appropriate for quality assessment of oncological colon surgery in the context of the German healthcare system. The validity of the QI and the reference values must be reviewed within the framework of their implementation. The StuDoQ|Colon Cancer Register provides a suitable infrastructure for collecting clinical data for quality assessment and risk adjustment.
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