中国血液净化

中国血液净化 ›› 2016, Vol. 15 ›› Issue (09): 475-477.doi: 10.3969/j.issn.1671-4091.2016.09.008

• 临床研究 • 上一篇    下一篇

维持性血液透析患者互联网使用情况多中心调查分析

张萍1,杨丽南1,阮一哲1,董文钰1,彭嘉丽1,谢英2,帅文成3,李斌4,钟小燕5,马小平1   

  1. 1. 中国人民解放军第452医院血液净化中心 2.四川省南充市名仁康复医院血液净化中心 3. 四川省南充市美亚医院血液净化中心 4. 四川省遂宁市视美医院血液净化中心 5. 四川省成都市高新博力医院血液净化中心
  • 收稿日期:2016-04-05 修回日期:2016-06-27 出版日期:2016-09-12 发布日期:2016-09-12
  • 通讯作者: 马小平 mxp5612@sina.com E-mail:ruanyizhe@163.com

Multi-center investigation of Internet use by maintenance hemodialysis patients

  • Received:2016-04-05 Revised:2016-06-27 Online:2016-09-12 Published:2016-09-12

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摘要： 目的 调查血液透析患者的互联网使用和流行情况，分析其影响因素，以期为互联网+医疗技术在透析患者中的运用提供参考。方法选取符合要求的血液透析患者，进行一对一互联网使用情况问卷调查，对调查结果进行统计学分析。结果共355 人参与调查，平均年龄(49.5±15.4)岁；文化水平高中及以下(93.8%)，无固定职业者331 人，占93.2%，74.6%的患者家庭年收入≤5 万元。将透析患者分为上网组与非上网组，上网组213 人(60.0%)，非上网组142 人(40.0%)。两组在年龄(t= 12.830, P＜0.001)、教育程度(t=5.440，P＜0.001)、家庭年收入(t=7.276，P＜0.001)有统计学差异，而性别(t=0.119，P=0.906)、婚姻状况(t=-0.545，P= 0.586)、工作岗位(t=-1.298，P=0.052)的差异无统计学意义。进一步多因素分析显示，年龄(OR=-0.078,95% CI 0.907～0.945，P＜0.001)、教育程度(OR= 0.194, 95% CI 1.030～1.425，P=0.019)、家庭年收入(OR=1.331，95% CI 2.015～6.921,P＜0.001)是血液透析患者是否使用互联网的独立影响因素。结论血液透析患者网络使用比例还有一定的提升空间。年龄、教育程度、家庭年收入是透析患者是否上网的独立影响因素。目前使用互联网技术造福血液透析患者尚需要更多的探索和社会支持。

关键词: 血液透析, 互联网, 上网, 影响因素

Abstract: Objective To investigate the prevalence and predictors of Internet use by maintenance hemodialysis (MHD) patients. Methodology A questionnaire surveying Internet use was delivered in person to MHD patients in five dialysis centers in four different cities in Sichuan Province. The survey results were then statistically analyzed. Results A total of 355 patients completed the questionnaires with the response rate of 88.3%. The average age of the respondents was 49.5±15.4 years old. There were 323 patients (91.%) aged over 30 years old, 333 patients (93.8%) with education level below high school, 331 patients (93.2%) without a stable job, and 265 patients (74.6%) with a family income under 50,000 yuan per year. The participants were divided into Internet user group and non-Internet user group. Age (t=12.830, P＜0.001), educational level (t= 5.440, P＜0.001), and family income (t=7.276, P＜0.001) were significantly different between the two groups, but gender (t=0.119, P=0.906), marital status (t=-0.545, P=0.586), and jobs (t=-1.298, P=0.052) had no differences between the two groups. Cox regression model showed that age (OR=-0.078, 95% CI 0.907～ 0.945, P＜0.001), educational level (OR=0.194, 95% CI 1.030～1.425, P=0.019) and family income (OR= 1.331, 95% CI 2.015～6.921, P＜0.001) were the independent factors for Internet use in MHD patients. Conclusion Internet use should be encouraged further in MHD patients. Age, education level and family income are the independent factors for Internet use in these patients. Internet plus medical technology have shown increasing importance in the integrated management of chronic diseases, requiring more exploration and social support.

Key words: hemodialysis, survey, internet, effective factor