ABSTRACT
Potentially inappropriate prescribing (PIP), including potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a major risk factor for adverse drug reactions (ADRs). Establishing a risk warning model for PIP to screen high-risk patients and implementing targeted interventions would significantly reduce the occurrence of PIP and adverse drug events. Elderly patients with cardiovascular disease hospitalized at the Sichuan Provincial People's Hospital were included in the study. Information about PIP, PIM, and PPO was obtained by reviewing patient prescriptions according to the STOPP/START criteria (2nd edition). Data were divided into a training set and test set at a ratio of 8:2. Five sampling methods, three feature screening methods, and eighteen machine learning algorithms were used to handle data and establish risk warning models. A 10-fold cross-validation method was employed for internal validation in the training set, and the bootstrap method was used for external validation in the test set. The performances were assessed by area under the receiver operating characteristic curve (AUC), and the risk warning platform was developed based on the best models. The contributions of features were interpreted using SHapley Additive ExPlanation (SHAP). A total of 404 patients were included in the study (318 [78.7%] with PIP; 112 [27.7%] with PIM; and 273 [67.6%] with PPO). After data sampling and feature selection, 15 datasets were obtained and 270 risk warning models were built based on them to predict PIP, PPO, and PIM, respectively. External validation showed that the AUCs of the best model for PIP, PPO, and PIM were 0.8341, 0.7007, and 0.7061, respectively. The results suggested that angina, number of medications, number of diseases, and age were the key factors in the PIP risk warning model. The risk warning platform was established to predict PIP, PIM, and PPO, which has acceptable accuracy, prediction performance, and potential clinical application perspective.
ABSTRACT
OBJECTIVE： To investigation occupational exposure and exposure outcome of antineoplastic in medical staff ，to provide support for their safety in Sichuan Province. METHODS：The respondents included doctors ，nurses，technicians and pharmacists from 11 related departments including tumor department ，hematology department ，PIVAS and pharmacy department in 4 third-level class A hospitals mainly in Sichuan Provincial People ’s Hospital and 6 second-level and below hospitals. Self-designed questionnaires were adopted to investigate general information of medical staff ，cognitive status to occupational exposure hazards ， occupational exposure and exposure outcome and protective behaviors and make suggestions of the investigation. RESULTS：A total of 350 questionnaires were sent out and 304 were recovered ，with effective recovery rate of 86.86％. Among 304 investigated pharmacentical staff ，involving 253 female（83.22％），51 male（16.78％），the most of persons aged 20-29 years old （43.42％）. The most of persons （66.78％）had a bachelor degree. The largest number of occupation was nurses （55.26％）；the pharmacy department had the largest number （21.71％）；working hours were mainly 8 h/day（84.21％）；working years were the most less than 5 years（39.47％）. 121 persons（39.80％）were aware of the potential hazards of occupational exposure to antineoplastic drugs，and 131 persons（43.09％）only knew a little about the Δ 项目基金：国家临床重点专科建设项目；四川省科研院所基本科 exposure hazards ；in PIVAS ，15 persons （71.43％） were 研业务项目（No.2018YSKY0017） ＊药师，硕士研究生。研究方向：临床药学。E-mail：370951417@ aware of the potential hazards of occupational exposure to qq.com antineoplastic drugs ，accounting the highest proportion among # 通信作者：主任药师，硕士生导师。研究方向：国家药物政策、药 all departments ； the proportion of technicians and other 事管理、医院药学。电话：028-87393436。E-mail：289302309@qq.com medical staff who did not know the occupational exposure 中国药房 2020年第31卷第8期 China Pharmacy 2020Vol. 31 No. 8 ·1009· hazard was the highest ，being 60％；the longer the total working time ，the higher the cognition degree of occupational exposure hazards （P＝0.035 8）. The most exposed antineoplastic drug was cyclophosphamide 165 persons（54.28％） and pemetrexed disodium 57 persons（18.75％）was the least. The total time of occupational exposure of medical staff in different departments was mainly short-term exposure ，among which the number of exposed persons in hematology department was the most （85.71％）. 67 persons（22.04％）reported that they had physical discomfort after excluding the influence of other physical diseases ，mainly the increase of alopecia （73.13％）；the propertion of medical staff who had physical discomfort in hematology department was the most（50.00％）；the number of nurses who had physical discomfort （31.55％）was the most. 155 persons（50.99％）could not understand the antineoplastic drug protection measures ，41 persons （13.49％） had received relevant training ，108 persons （35.53％）understood the occupational protection of antineoplastic drugs. The highest level of awareness of protective measures was found among the medical staff in PIVAS ，and only 14.29％ of the staff did not understand the protective measures. In term of occupation，the proportion of nurses who had received relevant training was the highest （19.05％）. CONCLUSIONS ：Medical staffs have a low level of knowledge about occupational exposure hazards and self-protection measures of antineoplastic drugs. The government should strengthen the construction of occupational protection regulations and standards for medical staff ；hospitals should strengthen internal management and attach great importance to the management of occupational protection in hospitals ； medical staff should increase awareness ，skills and reduce the risk of occupational exposure.
