“互联网+结核病防治”模式对结核病防控效果

Effect of tuberculosis prevention and control based on “Internet + tuberculosis prevention and control” model

目的探讨“互联网+结核病防治”模式对结核病防控效果。方法收集2020年4月至2022年4月新疆喀什地区莎车县结核患者3118例并进行对照研究,采用随机数字表法将其分为对照组和研究组,各1559例。对照组给予常规结核病防治模式干预,研究组给予基于“互联网+结核病防治”模式干预,均干预6个月。比较两组临床结局、治疗依从性、心理状况。结果经调查,对照组280例失访,研究组225例失访。两组成功治愈率比较,差异无统计学意义(P>0.05);两组中断治疗率比较,差异无统计学意义(P>0.05)。研究组未知治疗结局率低于对照组(P<0.05)。干预6个月时,研究组治疗依从性优于对照组(P<0.05)。干预6个月时,两组焦虑自评量表、抑郁自评量表评分低于干预前,且研究组低于对照组(P<0.05)。结论应用“互联网+结核病防治”模式可提高结核病患者治疗依从性,并改善其负面情绪,降低患者失访率,更符合结核病的防治需求。

Objective To explore the the effect of tuberculosis prevention and control based on“Internet+tuberculosis prevention and control”model.Methods A total of 3118 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 1559 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.