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四川大学华西第二医院,四川大学出生缺陷与相关妇儿疾病教育部重点实验室,成都,610041
纸质出版日期:2023,
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杨春松, 杨亚亚, 林芸竹, 等. 四川地区抗肿瘤药物风险分级现状及需求研究[J]. 儿科药学杂志, 2023,29(2):7-12.
Yang Chunsong, Yang Yaya, Lin Yunzhu, et al. Study on the Current Status and Demand of Risk Classification of Antineoplastic Drugs in Sichuan[J]. 2023,29(2):7-12.
杨春松, 杨亚亚, 林芸竹, 等. 四川地区抗肿瘤药物风险分级现状及需求研究[J]. 儿科药学杂志, 2023,29(2):7-12. DOI: 10.13407/j.cnki.jpp.1672-108X.2023.02.002.
Yang Chunsong, Yang Yaya, Lin Yunzhu, et al. Study on the Current Status and Demand of Risk Classification of Antineoplastic Drugs in Sichuan[J]. 2023,29(2):7-12. DOI: 10.13407/j.cnki.jpp.1672-108X.2023.02.002.
目的:了解四川地区抗肿瘤药物风险分级现状及需求
以构建抗肿瘤药物风险提示系统
提高抗肿瘤药物临床应用的安 全性和有效性。方法:采用调查问卷了解四川地区抗肿瘤药物风险分级现状及需求。结果:受访医务人员所在医院的抗肿瘤药 物使用现状:63. 29%存在抗肿瘤药物的超说明书用药
77. 22%有抗肿瘤药物处方前置审核系统
82. 28%为一线医师开具抗肿 瘤药物处方需要上级医师审核
91. 14%为配置静脉用抗肿瘤药物使用生物安全柜
86. 08%为医务人员在配置抗肿瘤药物时穿 戴防护用具
78. 48%为抗肿瘤药物高危标识嵌入电子信息系统
81. 01%有抗肿瘤药物的分级管理制度
81. 01%有抗肿瘤药物 分级管理目录;受访医务人员对抗肿瘤药物的风险因素及风险防范的认知程度一般
而医师、护士和药师对抗肿瘤药物风险点 的风险程度认知有所不同;受访医务人员希望构建抗肿瘤药物风险提示系统并建议了相关影响因素的重要性。结论:四川地区 抗肿瘤药物风险分级现状较好
受访医务人员对肿瘤药物的风险因素及风险防范的认知程度侧重于其工作岗位
强烈要求构建 抗肿瘤药物风险提示系统。
Objective: To understand the current situation and demand of risk classification of antineoplastic drugs in Sichuan
so as to establish a risk warning system for antineoplastic drugs
and improve the safety and effectiveness of clinical application of antineoplastic drugs. Methods: Questionnaires were used to investigate the current status and demand of risk classification of antineoplastic drugs in Sichuan. Results: The current situation of the use of antineoplastic drugs in the hospitals of the surveyed medical staff was as follows: 63. 29% had the off-line use of antineoplastic drugs
77. 22% had the pre-approval system for antineoplastic drugs prescription
82. 28% needed the approval of superior doctors for the prescription of antineoplastic drugs for first-line doctors
91. 14% had the biosafety cabinet for the use of intravenous antineoplastic drugs
86. 08% of the medical staff wore protective equipment when dispensing antineoplastic drugs
78. 48% of the high risk identification of antineoplastic drugs was embedded in the electronic information system
81. 01% had the classification management system of antineoplastic drugs
and 81. 01% had the classification management catalog of antineoplastic drugs. The cognition degree of risk factors and risk prevention of antineoplastic drugs was average among the surveyed medical staff
while the cognition degree of risk points of antineoplastic drugs was different among doctors
nurses and pharmacists. The surveyed medical staff hoped to build a risk warning system for antineoplastic drugs and suggested the importance of related influencing factors. Conclusion: The current status of risk classification of antineoplastic drugs in Sichuan province is good. The cognition degree of the surveyed medical staff on the risk factors and risk prevention of antineoplastic drugs focuses on their work positions
and they strongly require the construction of antineoplastic drug risk warning system.
抗肿瘤药物风险分级医务人员
antineoplastic drugrisk classificationmedical staff
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