Objective Based on the localization of resource-based relative value scale (RBRVS) in H Hospital, to implement a surgical performance management model reform with the main surgery as the core, and to construct a more scientific and fair surgical performance distribution system. Methods A surgical performance management model with the main surgery as the core was constructed. Relevant data such as RBRVS, diagnosis related groups (DRG), case mixed index (CMI), and surgical time of 65 915 inpatient elective surgeries in H Hospital in 2023 were collected and organized. Large sample historical data analysis was conducted using SPSS software, and the rationality of the optimized surgical performance management model was verified through key indicators. Results The total coefficient of multiple orders for surgery in the 22 departments included in the study was highly correlated with the main surgery coefficient (γ>0.85), and the matching coefficients for each specialty were significantly different (P<0.001). The surgical performance management model with the main surgery as the core showed a significant improvement in the key indicators (doctor’s time resource investment and surgical risk and difficulty). Conclusion By implementing a surgical performance management model with the main surgery as the core, we aim to strengthen the performance orientation that reflects the risks and difficulty of diagnosis and treatment, as well as the value of doctor services. This will guide clinical practice to return to the essence of medicine, support the development of discipline construction, and further stimulate the vitality and motivation of clinical work.
Citation：
WU Qinyi, WANG Jun, XU Xu, SONG Wenjie, WEN Limin. Empirical study on surgical performance management model based on RBRVS with main surgery as the core. Chinese Journal of Evidence-Based Medicine, 2024, 24(8): 899-903. doi: 10.7507/1672-2531.202406074
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Copyright © the editorial department of Chinese Journal of Evidence-Based Medicine of West China Medical Publisher. All rights reserved
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