Construction and empirical study of clue enrichment model of excessive medical behavior based on the rank assignment method
10.3760/cma.j.cn111325-20211025-00978
- VernacularTitle:基于等级赋分法的过度医疗行为线索富集模型构建及实证研究
- Author:
Na ZHAO
1
;
Yanli ZHANG
;
Xiaohong CHEN
Author Information
1. 国家卫生健康委医院管理研究所医院评审评价研究部，北京 100044
- Keywords:
Medical insurance fund;
Excessive medical behavior;
Rank assignment;
Model building;
Empirical research
- From:
Chinese Journal of Hospital Administration
2022;38(2):101-105
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct and verify a model of excessive medical behavior clues enrichment, for the technical support for the safe and rational use of medical insurance fund.Methods:A model of excessive medical behavior clues enrichment was constructed by the rank assignment method. The inpatient transaction records of medical insurance for employees and residents in 5 tumor hospitals in Beijing from 2016 to 2019 were obtained to verify the validity of the model. The patients were grouped according to age and gender, and each transaction record was converted into a standardized score V(0-100 scores), all transactions were divided into 22 groups according to V value. The Cochran-Armitage trend test was used to analyze the variation trend of enrichment rate with the increase of V value. Chi-square test was used to compare the chargeback rates of different groups. The correlation between the standardized score V and the amount of chargeback was tested by Pearson.Results:There were 872 599 and 86 356 hospitalization transactions for employee and resident medical insurance patients, with included 1 164 and 103 chargeback records respectively. The average score and median of V-value of employee and resident medical insurance transactions were scores of 49 and 50 respectively.When V>0, the enrichment rates of the employee and resident medical insurance were on the rise with the increasing of V( Z=23.86, P<0.001; Z=11.02, P<0.001), the refusal rates among different groups was significant different( χ2=1 307.16, P<0.001)and the correlation between V value and the chargeback amount was statistically significant( r=0.29, P<0.001; r=0.30, P=0.003). Conclusions:This study established a clue enrichment model of excessive medical behavior based on the rank assignment method. By analyzing a large number of medical insurance transaction records, the model can focus on the medical insurance transaction with suspected excessive medical treatment behavior, and has a certain guiding role in the management of medical insurance fund.
