论文部分内容阅读
目的探讨流动人口肺结核患者成功治疗的影响因素,为制定干预措施、改善治疗效果提供理论依据。方法以2009—2013年在深圳市宝安区接受治疗的流动人口肺结核患者为研究对象,比较成功与未成功治疗患者在人口学特征、诊断结果、管理方式等方面的差异,同时采用非条件logistic回归分析探讨成功治疗的影响因素。结果 2009—2013年深圳市宝安区流动人口结核病患者的成功治疗率为86.06%。成功治疗与未成功治疗患者在年龄、职业、来源、就诊时间、诊断结果、治疗分类、是否系统管理和有无空洞的构成方面存在显著差异;多因素非条件logistic回归分析显示,年龄为20~40岁。职业为家政、家务及待业,无空洞是成功治疗的保护因素,OR(95%CI)分别为1.463(1.225~1.748)、1.229(1.037~1.455)和1.459(1.216~1.752);而转诊、诊断结果阳性和复治患者是成功治疗的危险因素,OR(95%CI)分别为0.808(O.677~0.963)、0.567(0.461~0.698)和0.495(0.389~0.630)。结论各种因素导致的流动人口结核病患者未成功治疗是结核病防治工作中的重要问题,应当引起关注,采取针对性干预措施有利于提高流动人口结核病患者成功治疗率。
Objective To explore the influential factors of successful treatment of pulmonary tuberculosis in floating population and provide theoretical basis for formulating interventions and improving treatment effect. Methods From 2009 to 2013 in Bao’an District of Shenzhen City, the treatment of migrant pulmonary tuberculosis patients as the research object, the successful and unsuccessful treatment of patients in demographic characteristics, diagnostic results, management methods and other differences, using non-conditional logistic regression Analyze and discuss the influencing factors of successful treatment. Results The successful treatment rate of TB patients in floating population in Shenzhen Baoan District from 2009 to 2013 was 86.06%. There were significant differences in age, occupation, source, time of visit, diagnosis, classification of treatment, whether the system was managed and whether there was any cavity in the patients with or without successful treatment. Multivariate non-conditional logistic regression analysis showed that the patients aged 20 ~ 40 years old. OR (95% CI) were 1.463 (1.225-1.748), 1.229 (1.037-1.445) and 1.459 (1.216-1.752), respectively, for referrals, family members and unemployed occupations. Patients with positive diagnosis and retreatment were the risk factors for successful treatment. OR (95% CI) were 0.808 (0.667-0.963), 0.567 (0.461-0.698) and 0.495 (0.389-0.630), respectively. Conclusion The unsuccessful treatment of floating population TB patients caused by various factors is an important issue in the prevention and treatment of tuberculosis and should be taken into consideration. Targeted interventions will be helpful to improve the successful treatment rate of TB patients in floating population.