基于互联网大数据对靶向药物治疗的非小细胞肺癌患者的全程管理及效果评价

The whole-process management and effect evaluation of targeted drug therapy for non-small cell lung cancer patients based on internet big data

目的 基于互联网大数据对靶向药物治疗的非小细胞肺癌(NSCLC)患者进行全程管理,并评价其效果。方法 选择2021年3月至2022年8月在成都市第六人民医院肿瘤科开展靶向药物治疗的90例NSCLC患者,并随机分成对照组(n=45,采用传统方式管理)和实验组(n=45,利用云平台管理系统进行管理)。比较两组自我效能感、症状缓解情况及生活质量。结果 管理6个月后,两组癌症自我管理效能感量表(SUPPH)中3项评分、肺癌患者生活质量测定量表(FACT-L)中5项得分及总分均高于管理前(P<0.05),其中实验组各项差值分别为(17.25±4.39)分、(11.79±3.05)分、(3.17±0.83)分,均明显高于对照组的(8.70±2.56)分、(6.48±2.12)分、(1.46±0.48)分(P<0.05);两组安德森症状评估量表(MDASI-C)中2个模块评分均低于管理前(P<0.05),其中实验组各项差值分别为(49.07±6.71)分、(14.67±3.83)分,均明显高于对照组的(42.02±5.82)分、(8.42±2.46)分(P<0.05)。结论 对行靶向药物治疗的NSCLC患者开展基于互联网大数据的全程管理,可有效提高患者自我效能水平,明显减轻症状严重度,显著改善生活质量。

Objective To manage the whole process of non-small cell lung cancer(NSCLC)patients treated with targeted drugs based on the Internet big data and evaluate its effect.Methods Ninety patients with NSCLC who were treated with targeted drugs in the Department of Oncology,Chengdu Sixth People's Hospital from March 2021 to August 2022 were randomly grouped into a control group(n=45,managed by traditional methods)and an experimental group(n=45,managed by cloud platform management system).Self-efficacy,symptom relief,and quality of life were compared between the two groups.Results After 6 months of management,the scores of 3 items in the cancer self-management efficacy scale(SUPPH),and 5 items and total score in the lung cancer patients'quality of life scale(FACT-L)in the two groups were higher than those before management(P<0.05),the difference values of the experimental group were(17.25±4.39)points,(11.79±3.05)points,and(3.17±0.83)points,respectively,which were significantly higher than(8.70±2.56)points,(6.48±2.12)points,and(1.46±0.48)points of the control group(P<0.05);the scores of the two modules in the M.D.Anderson Symptom Inventory Brain Tumor Module(MDASI-C)in the two groups were lower than those before management(P<0.05),and the difference values of the experimental group were(49.07±6.71)points and(14.67±3.83)points,which were significantly higher than(42.02±5.82)points and(8.42±2.46)points of the control group(P<0.05).Conclusion The whole process management based on internet big data can effectively improve the self-efficacy level of NSCLC patients undergoing targeted drug treatment,obviously reduce the severity of symptoms and significantly improve the quality of life.