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ABSTRACT: Background
Comparison of quality indicators can improve quality of care. However, case-mix adjustment is deemed essential. The aim of this study was to develop and validate case-mix adjustment models and to evaluate the effect of case-mix adjustment for the quality indicators related to complications after breast cancer surgery.Methods
Multivariable logistic regression with backward selection (P < 0.1) was used to develop case-mix models in patients undergoing breast cancer surgery (all types, breast-conserving surgery, mastectomy with or without immediate reconstruction) in the Netherlands (NABON Breast Cancer Audit). High-impact complications were defined as Clavien Dindo grade ≥3. Model performance was assessed using the area under the receiver operating characteristic c
SUBMITTER: Verheul EM
PROVIDER: S-EPMC11793075 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature