Effect of tuberculosis prevention and control based on “Internet + tuberculosis prevention and control” model
ZHENG Lijiao1 Maihebuse Pida2 Maimaitiali Wubuli1 HE Li1
1.Department of Infection, the First Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi 830054, China;
2.Department of Infection, Shache County People’s Hospital, Xinjiang Uygur Autonomous Region, Shache 844700, China
Abstract Objective To explore the the effect of tuberculosis prevention and control based on “Internet + tuberculosis prevention and control” model. Methods A total of 3 118 tuberculosis patients in Shache County, Kashgar Prefecture, Xinjiang Uygur Autonomous Region from April 2020 to April 2022 were collected and studied. They were divided into control group and study group, with 1 559 cases in each group. The control group was given the conventional tuberculosis prevention and control model intervention, while the study group was given the “Internet + tuberculosis prevention and control” model intervention, and both groups were intervened for six months. The clinical outcome, treatment compliance and psychological status of the two groups were compared. Results After investigation, 280 cases in the control group, and 225 cases in the study group were lost to follow-up. There was no statistically significant difference in the successful cure rate of patients between the two groups (P＞0.05); there was no statistically significant difference in the interruption rate of treatment between the two groups (P＞0.05). By setting the treatment outcome of patients lost to follow-up as unknown treatment outcome, the rate of unknown treatment outcome was lower in the study group than that in the control group (P＜0.05). At six months of intervention, the compliance rate of the study group was better than that of the control group (P＜0.05). At six months of the intervention, self-rating anxiety scale and self-rating depression scale scores of both groups decreased compared with those before treatment, and the study group was lower than that of the control group (P＜0.05). Conclusion The application of “internet + tuberculosis prevention and control” model can improve the treatment compliance of tuberculosis patients, improve their negative emotions, reduce the rate of patients lost to follow up, and better meet the needs of tuberculosis prevention and control.
ZHENG Lijiao1 Maihebuse Pida2 Maimaitiali Wubuli1 HE Li1. Effect of tuberculosis prevention and control based on “Internet + tuberculosis prevention and control” model[J]. 中国医药导报, 2023, 20(27): 162-165,170.
[1] World Health Organization. Global tuberculosis report 2021[R]. Geneva：World Health Organization，2021.
[2] 冯岱，孙玉婷.内蒙古结核病服务模式转型前后防治效果分析[J].现代预防医学，2022，49（3）：397-399，416.
[3] 王秉萍，陈玮，赵茜，等.贵州省结核病防治人员工作满意度现状及影响因素分析[J].现代预防医学，2023，50（7）：1187-1192.
[4] 贾宇轩，李艳玲，王立轩.医护人员及患者对肺结核防治知识的调查[J].护理学杂志，2021，36（14）：70-72.
[5] 侯增谦.切实增强公共卫生安全治理能力[J].中国科学基金，2020，34（6）：661.
[6] 陈松华.世界卫生组织关于新冠肺炎流行期间的结核病防控意见[J].预防医学，2021，33（11）：1187-1188.
[7] 卫生健康委，国家发展改革委，教育部，等.遏制结核病行动计划（2019-2022年）[J].医师在线，2019，9（18）：5.
[8] 中华医学会，中华医学会杂志社，中华医学会全科医学分会，等.肺结核基层诊疗指南（2018年）[J].中华全科医师杂志，2019，18（8）：709-717.
[9] 国家卫生健康委员会办公厅.国家卫生健康委办公厅关于印发中国结核病预防控制工作技术规范（2020年版）的通知[J].中华人民共和国国家卫生健康委员会公报，2020，12：2017-245.
[10] 段泉泉，胜利.焦虑及抑郁自评量表的临床效度[J].中国心理卫生杂志，2012，26（9）：676-679.
[11] 罗一婷，翁榕星，周芳，等.2019WHO全球结核报告：全球与中国关键数据分析[J].新发传染病电子杂志，2020，5（1）：47-50.
[12] Zajac K，Ginley MK，Chang R，et al. Treatments for Internet gaming disorder and Internet addiction：A systematic review [J]. Psychol Addict Behav，2017，31（8）：979-994.
[13] 江积海，刘芮，王烽权.互联网医疗商业模式价值动因的组态效应如何促进价值创造[J].南开管理评论，2022，25（3）：95-104.
[14] 王涛，翟兴.突发公共事件应急管理情报需求支持机制研究——以互联网医疗健康业务模式演进为例[J].情报科学，2020，38（7）：3-8，44.
[15] 曹博林.互联网医疗：线上医患交流模式、效果及影响机制[J].深圳大学学报（人文社会科学版），2021，38（1）：119-130.
[16] 魏明月，王淑，王淼，等.基于“互联网+”的跨区域医疗信息共享与服务协同平台设计[J].中国卫生资源，2021， 24（5）：547-550.
[17] Wei X，Hicks JP，Pasang P，et al. Protocol for a randomised controlled trial to evaluate the effectiveness of improving tuberculosis patients’ treatment adherence via electronic monitors and an app versus usual care in Tibet [J]. Trials，2019，20（1）：273.
[18] Daka S，Matsuoka Y，Ota M，et al. Causes of pre-treatment loss to follow-up in patients with TB [J]. Public Health Action，2022，12（4）：148-152.
[19] 李雪，姜世闻，胡冬梅，等.电子药盒和手机微信APP的应用对肺结核患者服药依从性的效果评价[J].中国防痨杂志，2019，41（9）：957-961.
[20] 尹栗，邱青.提高结核病病人用药依从性临床药学工作模式探索[J].安徽医药，2021，25（3）：614-616.
[21] 赖培烜，秦道新，田园，等.互联网技术+手机微信小程序的患者管理模式探讨[J].中国热带医学，2020，20（4）：394-396.
[22] Guo X，Yang Y，Takiff HE，et al. A Comprehensive App That Improves Tuberculosis Treatment Management Through Video-Observed Therapy：Usability Study [J]. JMIR Mhealth Uhealth，2020，8（7）：e17658.
[23] Zhang J，Yang Z，Wang X，et al. The relationship between resilience，anxiety and depression among patients with mild symptoms of COVID-19 in China：A cross-sectional study [J].J Clin Nurs，2020，29（21/22）：4020-4029.
[24] Lu Y，Wang H，Zhu J，et al. Effect of targeted nursing intervention plus psychological counseling on quality of life，negative emotions，and complications in patients with extensively drug-resistant tuberculosis [J]. Am J Transl Res，2021，13（12）：13950-13958.
[25] 余巧林，雷丽梅，邵晓利，等.新冠疫情期间定点医疗机构内住院结核病患者对新冠肺炎的风险感知及情绪反应[J].临床肺科杂志，2021，26（1）：86-90.
