[1]罗雅双,刘心怡,陈 文.不同医保类型恶性肿瘤终末期患者卫生服务利用比较分析[J].卫生经济研究,2019,(11):44-45,48.
 LUO Ya-shuang,LIU Xin-yi,CHEN Wen.Comparative Analysis of Health Service Utilization of End-stage patients with Malignant Tumors of Different Types of Medical Insurance[J].Journal Press of Health Economics Research,2019,(11):44-45,48.
点击复制

不同医保类型恶性肿瘤终末期患者卫生服务利用比较分析
分享到:

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
期数:
2019年11期
页码:
44-45,48
栏目:
卫生服务
出版日期:
2019-11-04

文章信息/Info

Title:
Comparative Analysis of Health Service Utilization of End-stage patients with Malignant Tumors of Different Types of Medical Insurance
作者:
罗雅双1刘心怡1陈 文1
1.复旦大学公共卫生学院卫生经济学教研室,上海 200032
Author(s):
LUO Ya-shuangLIU Xin-yiCHEN Wen
Department of Health Economics, School of Public Health, Fudan University,Shanghai 200032,China
关键词:
恶性肿瘤终末期卫生服务利用医保类型
Keywords:
malignant tumorend stageutilization of health servicestype of medical insurance
分类号:
R197
文献标志码:
B
摘要:
目的:比较不同医保类型恶性肿瘤终末期患者卫生服务利用差异。方法:随机抽取某市医保数据库2015—2017年1678名恶性肿瘤终末期医保患者,采用t检验与卡方检验,对不同医保类型患者卫生服务利用情况进行比较分析。结果:职保患者的卫生服务利用高于居保患者,两类患者在医疗机构和治疗方式的选择上存在差异,放化疗是恶性肿瘤终末期患者的主要选择,极少人选择舒缓治疗。结论:制定并实施肿瘤终末期诊疗指南或规范,构建上下联动的舒缓疗护网络,选择合理医疗方式,提高医疗资源利用效率。
Abstract:
Objective To compare the differences in health service utilization among patients with end-stage malignant tumors of different types of medical insurance. Methods A total of 1678 patients with end-stage malignant tumor of different medical insurance from 2015 to 2017 were randomly selected. The t-test and chi-square test were used to compare the health service utilization of patients with different types of medical insurance. Results The utilization of health services for patients with occupational insurance was higher than that of patients with residential care. There were differences in the choice of medical institutions and treatment methods between the two types of patients. Chemotherapy were the main choice for patients with end-stage malignant tumors, and few people chose soothing treatment. Conclusion We should develop and implement guidelines and norms for end-stage cancer diagnosis and treatment, build a network of soothing treatments that link up and down, select reasonable medical methods, and improve the utilization efficiency of medical resources.

参考文献/References:

[1] Zulman D M, Chee C P, Ezeji-Okoye S C, et al. Effect of an Intensive Outpatient Program to Augment Primary Care for High-Need Veterans Affairs Patients: A Randomized Clinical Trial[J]. JAMA Internal Medicine, 2016, 177(2):166.
[2] Chastek B, Harley C, Kallich J, et al. Health Care Costs for Patients With Cancer at the End of Life[J]. Journal of Oncology Practice, 2012, 8(6S):75-80.
[3] 龚波. 从医保支付与缴费水平的关系探讨不同医保制度间的政策平衡性[J]. 中国医疗保险, 2009(4):44-47.
[4] Kim S J, Han K T, Park E C, et al. Copayment policy effects on healthcare spending and utilization by Korean lung cancer patients at end of life: a retrospective cohort design 2003-2012[J].Asian Pacific Journal of Cancer Prevention Apjcp, 2014, 15(13):5265-5270.
[5] Shugarman L R, Decker S L, Bercovitz A. Demographic and Social Characteristics and Spending at the End of Life[J]. Journal of Pain & Symptom Management, 2009, 38(1):15-26.
[6] 世界卫生组织. 姑息治疗[EB/OL].https://www.who.int/cancer/palliative/zh.
[7] 梁丽君, 张改改. 中国大陆临终关怀现状研究[J]. 实用老年医学, 2018,32(1):20-22.

相似文献/References:

[1]马 雷,柳俊杰,李 军,等.天津市恶性肿瘤医保患者自付状况分析[J].卫生经济研究,2017,(04):50.
[2]李 勇,王 冬,向国春,等.广东省恶性肿瘤治疗费用核算结果分析——基于“SHA2011”[J].卫生经济研究,2019,(09):25.
 LI Yong,WANG Dong,XIANG Guo-chun,et al.Analysis of Accounting Results of Treatment Costs for Malignant Tumors in Guangdong Province——Based on “SHA2011”[J].Journal Press of Health Economics Research,2019,(11):25.
[3]董 辉,汤质如,严 训,等.安徽省恶性肿瘤治疗费用分析——基于“卫生费用核算体系2011”[J].卫生经济研究,2021,38(2):58.
 DONG Hui,TANG Zhi-ru,YAN Xun,et al.Analysis on Malignant Tumor Treatment Cost in Anhui Province——Based on the SHA 2011[J].Journal Press of Health Economics Research,2021,38(11):58.
[4]黄 果,董来东.恶性肿瘤住院患者疾病特征及医疗费用研究[J].卫生经济研究,2021,38(3):67.
 HUANG Guo,DONG Lai-dong.Study on Disease Characteristics and Medical Expenses of Inpatients with Malignant Tumor[J].Journal Press of Health Economics Research,2021,38(11):67.
[5]赵 威,覃双凌.基于DRG的恶性肿瘤患者住院费用新灰色关联分析[J].卫生经济研究,2022,39(4):50.
 ZHAO Wei,QIN Shuang-ling.A New Grey Correlation Analysis on Inpatient Costs for Malignant Tumor Patients Based on DRG[J].Journal Press of Health Economics Research,2022,39(11):50.
[6]周鹏飞,杨孝光,路 强,等.恶性肿瘤术后化疗住院患者DRG分组研究 ——基于E-CHAID算法[J].卫生经济研究,2023,40(6):35.
 ZHOU Pengfei,YANG Xiaoguang,LU Qiang,et al.Study on DRG Grouping of Postoperative Chemotherapy Inpatients with Malignant Tumor ——Based on E-CHAID Algorithm[J].Journal Press of Health Economics Research,2023,40(11):35.

更新日期/Last Update: 2019-11-04