华南预防医学 ›› 2020, Vol. 46 ›› Issue (3): 219-222.doi: 10.12183/j.scjpm.2020.0219

• 论著 • 上一篇    下一篇

糖尿病患者移动健康服务使用现状及影响因素分析

牟丽1, 夏英华2, 何群2, 陈昭悦2, 洪紫慧2, 何易洲2, 邢晓辉1,3   

  1. 1.南方医科大学卫生管理学院,广东 广州 510515;
    2.广东省疾病预防控制中心 广东省公共卫生研究院;
    3.广东省疾病预防控制中心
  • 收稿日期:2019-09-27 出版日期:2020-06-20 发布日期:2020-06-20
  • 通讯作者: 邢晓辉,E-mail:xhx@fimmu.com
  • 作者简介:牟丽(1995—),女,在读硕士研究生,研究方向:医院管理与卫生政策研究
  • 基金资助:
    国家重点研发计划项目(2018YFC1314100; 2018YFC1314105)

Status of applying mobile health services and influencing factors for diabetes mellitus patients

MOU Li1, XIA Ying-hua2, HE Qun2, CHEN Zhao-yue2, HONG Zi-hui2, HE Yi-zhou2, XING Xiao-hui1,3   

  1. 1. School of Health Management,Southern Medical University,Guangzhou 510515,China;
    2. Guangdong Provincial Institute of Public Health,Guangdong Provincial Center for Disease Control and Prevention;
    3. Guangdong Provincial Center for Disease Control and Prevention
  • Received:2019-09-27 Online:2020-06-20 Published:2020-06-20

摘要: 目的 了解糖尿病患者对移动健康服务使用现状并分析其影响因素。方法 于2019年6—8月,以广州市和毕节市的3家三甲医院糖尿病患者为研究对象,采用自填问卷调查患者人口学特点、移动健康服务知晓率、知晓渠道、使用率、会选择使用渠道、未使用原因及需求情况,采用logistic回归方法分析使用移动健康服务的影响因素。结果 共纳入258例患者,男性占52.7%,以2型糖尿病和无并发症为主,分别占89.1%、71.7%。患者移动健康服务使用率为19.8%,不同年龄、文化程度、人均月收入、糖尿病类型、职业以及是否伴有并发症的患者移动康服务使用率不同,差异均有统计学意义(均 P<0.01)。多因素分析显示,年龄、糖尿病类型是是否使用移动健康服务的影响因素,年龄越大使用率越低(OR51~60岁=0.206、OR>60岁=0.143);2型和妊娠糖尿病患者使用率低于1型糖尿病患者(OR2型糖尿病=0.118,OR妊娠糖尿病=0.040)。使用过移动健康服务的患者选择使用渠道以医生推荐为主,占56.9%。知晓未使用的原因主要是不了解和市场上产品太多不知道选择哪个产品(均占60.5%)。结论 糖尿病患者对移动健康服务使用率较低,应加强宣传教育,提高患者认知水平,尤其是对老年患者的宣传教育。鼓励专业医疗防控机构参与糖尿病移动健康服务的推广,促进医生推荐患者使用的积极性,同时要优化设计以兼顾患者不同需求。

关键词: 糖尿病, 移动健康服务, 使用率, 影响因素

Abstract: Objective To investigate the status of diabetes patients applying mobile health services (MHS) and its influencing factors. Methods From June to August 2019, diabetes patients were selected from three Level-3 Class-A hospitals in cities of Guangzhou and Bijie. A self-administered questionnaire was used to investigate demographic characteristics, MHS awareness, awareness way, utilization rate, choice of use channels, reasons for unusing MHS, and demand. Multivariate binary logistic regression was used to analyze the data. Results A total of 258 cases were included. Of the participants, 52. 7% were males, 89. 1% type 2 diabetes, and 71. 7% without complications. The usage rate of MHS was 19. 8%. There were differences in the usage rate of MHS among patients at different ages, education levels, monthly per capita income, type of diabetes, with or without complications, and occupation (all P<0. 01). Multivariate binary logistic regression analysis showed that age and types of diabetes were influencing factors of applying MHS. The older the patients with diabetes, the lower the usage rate (OR51-60 years=0. 206, OR>60 years= 0. 143, both P<0. 05). The usage rates of type 2 and gestational diabetes patients were lower than that of patients with type 1 diabetes (ORtype 2 diabetes=0. 118, ORgestational diabetes=0. 040, both P<0. 01). Patients who have used the MHS chose to use the channel mainly recommended by doctors, accounting for 56. 9%. The reasons for knowing but not using MHS were mainly because patients did not know the products (60. 5%) and did not know which one to choose due to too many products on the market (60. 5%). Conclusion The usage rate of MHS for diabetes patients was low. It is necessary to strengthen publicity and education to improve patient cognition, especially for elderly patients.

Key words: Diabetes, Mobile health services, Usage, Influencing factors

中图分类号: 

  • R193