摘要
目的探讨影响肺结核患者就诊与确诊延迟的相关因素,为及早发现与诊治肺结核制定针对性措施提供依据.方法对杭州市萧山区疾病预防控制中心门诊部新登记、确诊并治疗的128例肺结核患者的人口学资料、就诊经历和结核病相关知识等进行问卷调查,分析其就诊与确诊延迟情况和相关因素.结果128例肺结核患者就诊延迟率为25.00%,女性、无咯血症状、赡养老人、发病前结核病相关知识知晓率低和受教育程度低的肺结核患者易发生就诊延迟（P〈0.05）;多因素Logistic回归分析显示,女性是发生就诊延迟的危险因素（OR=6.39,95%CI：1.66～24.61）.确诊延迟率为50.78%,多因素Logistic回归分析显示,初诊选择村卫生室及私人诊所（OR=2.10,95%CI：1.00～4.39）、初诊未摄胸片（OR=3.91,95%CI：1.16～13.19） 以及赡养老人（OR=57.43,95%CI：4.43～744.30）是发生确诊延迟的危险因素.结论女性肺结核患者易发生就诊延迟,初诊选择卫生室及私人诊所、初诊未摄胸片和赡养老人肺结核患者易发生确诊延迟.
Objective To understand the delay factors of the treatment and diagnosis among pulmonary tuberculosis patients, and to provide scientific evidence for tuberculosis control.Methods A total of 128 pulmonary tuberculosis patients who was newly diagnosed and treated in Xiaoshan were enrolled in this study.The data of demography,medical history and tuberculosis knowledge were collected through questionnaires.Statistical method was used to analyze the current situation and delay factors of the treatment and diagnosis.Results The rate of treatment delay was 25.00%.Female patients without hemoptysis symptom,maintenance elderly,little knowledge of tuberculosis and low degree of education were relative to treatment delay among pulmonary tuberculosis patients (P <0.05 ).Multivariate logistic regression analysis showed that female(OR =6.39,95%CI:1.66 -24.61),was the delay factors of treatment.The rate of diagnosis delay was 50.78%.Multivariate logistic regression analysis showed that preliminary treatment in village or private clinics (OR =2.10,95%CI:1.00 -4.39),preliminary treatment without X ray (OR =3.91,95%CI:1.16 -13.19)and maintenance elderly (OR =57.43,95%CI:4.43 -744.30)were risk factors for delayed diagnosis.Conclusion The influencing factor for treatment and diagnosis delay are female,preliminary treatment in village or private clinics,preliminary treatment without X ray and maintenance elderly.
出处
《浙江预防医学》
2015年第9期889-892,896,共5页
Zhejiang Journal of Preventive Medicine
关键词
肺结核
就诊延迟
确诊延迟
影响因素
Pulmonary tuberculosis
Treatment delay
Diagnosis delay
Influencing factors
