Developing a streamlined risk-adjusted cesarean section rate model for evaluation of obstetrical quality across hospitals by using EHRs: A provincial-scale multicenter retrospective study

Autor: Da Zhou, Wanting Zhong, Qiu Sun, Qiang Fu, Pei Liu, Shilin Zhong, Guoqing Li, Bin Luo, Xiao Chen, Jian Wang, Chang Xu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Digital Health, Vol 10 (2024)
Druh dokumentu: article
ISSN: 2055-2076
20552076
DOI: 10.1177/20552076241284726
Popis: Objective This study aims to explore a streamlined risk-adjusted cesarean section rate (RCSR) model and to compare its practical application effects with the traditional RCSR models. Methods Utilizing obstetric electronic health record (EHR) data from provincial multicenter hospitals, this study establishes a streamlined RCSR model alongside the traditional RCSR model and evaluates the efficacy of both models. Subsequently, the RCSRs of 56 hospitals within the province are calculated and ranked using both models. The consistency of these rankings is then quantified using Kendall's tau coefficient of concordance. Result Comparison of model effectiveness evaluation of the traditional RCSR model versus the streamlined RCSR model is as follows: AUC (0.840 vs 0.839), accuracy (0.875 vs 0.872), sensitivity (0.690 vs 0.685), specificity (0.898 vs 0.892), positive predictive value (0.908 vs 0.903), negative predictive value (0.664 vs 0.660), and Brier score (0.069 vs 0.067). In the test of the consistency of hospital rankings based on two models, Kendall's tau coefficients were observed to be 0.979 (year 2017), 0.978 (year 2018), and 0.978 (year 2019) over a span of 3 years, with an aggregate coefficient of 0.974. Conclusion In the realm of model performance evaluation as well as the pragmatic application within hospital settings, the streamlined model exhibits a substantial congruence with the traditional model. Therefore, the streamlined model can effectively serve as a viable surrogate for the traditional model, potentially establishing itself as a refined paradigm for the appraisal of quality in obstetric healthcare services.
Databáze: Directory of Open Access Journals
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