Risk-adjusted monitoring of surgical performance

التفاصيل البيبلوغرافية
العنوان: Risk-adjusted monitoring of surgical performance
المؤلفون: Jiancheng Jiang, Lin Liu, Xuejun Jiang, Jianbo Li
المصدر: PLoS ONE
PLoS ONE, Vol 13, Iss 8, p e0200915 (2018)
بيانات النشر: Public Library of Science, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Polynomial, Computer science, Cardiovascular Procedures, lcsh:Medicine, Logistic regression, 01 natural sciences, Infographics, Polynomials, 010104 statistics & probability, 0302 clinical medicine, Pediatric Surgery, Risk Factors, Statistics, Outcome Assessment, Health Care, Medicine and Health Sciences, 030212 general & internal medicine, lcsh:Science, Parametric statistics, Multidisciplinary, Approximation Methods, Charts, Treatment Outcome, Physical Sciences, Risk Adjustment, Research Article, Computer and Information Sciences, Cardiac Surgery, Death Rates, Surgical and Invasive Medical Procedures, Statistics, Nonparametric, 03 medical and health sciences, Chart, Population Metrics, Covariate, Humans, 0101 mathematics, Cardiac Surgical Procedures, Models, Statistical, Population Biology, Data Visualization, lcsh:R, Nonparametric statistics, Biology and Life Sciences, Random Variables, Models, Theoretical, Probability Theory, Algebra, Logistic Models, General Surgery, lcsh:Q, Mathematics
الوصف: We propose a nonparametric risk-adjusted cumulative sum chart to monitor surgical outcomes for patients with different risks of post-operative mortality due to risk factors that exist before the surgery. Using varying-coefficient logistic regression models, we accomplish the risk adjustment. Unknown coefficient functions are estimated by global polynomial spline approximation based on the maximum likelihood principle. We suggest a bisection minimization approach and a bootstrap method to determine the chart testing limit value. Compared with the previous (parametric) risk-adjusted cumulative sum chart, a major advantage of our method is that the morality rate can be modeled more flexibly by related covariates, which significantly enhances the monitoring efficiency. Simulations demonstrate nice performance of our proposed procedure. An application to a UK cardiac surgery dataset illustrates the use of our methodology.
اللغة: English
تدمد: 1932-6203
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6554c3c3bca3590848bc84023e1479b9Test
http://europepmc.org/articles/PMC6082524Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....6554c3c3bca3590848bc84023e1479b9
قاعدة البيانات: OpenAIRE