深圳市宝安区跨区域管理肺结核患者转诊到位情况及影响因素分析

摘要

目的：探讨跨区域管理肺结核患者的到位情况及影响因素,为优化跨区域管理机制、提高治疗效果提供理论依据。方法以2009~2013年深圳市宝安区跨区域管理的肺结核患者为研究对象,比较转诊到位与未到位患者在人口学特征、诊断结果、转入转出信息等方面的差异,同时采用非条件Logistic回归分析探讨影响跨区域转诊到位的主要因素。结果2009~2013年深圳市宝安区跨区域管理肺结核患者的转诊到位率为77.15%。到位与未到位患者在年龄、职业、离开时状态、转出前治疗时间、患者及联系人电话填写完整性的构成方面比较差异有统计学意义(P<0.05)；多因素非条件Logistic回归分析显示,患者及联系人电话填写完整和转出前治疗时间>30 d与患者到位显著相关, OR(95%CI)分别为12.162(1.481,99.848)和0.109(0.031,0.383)。结论患者及联系人电话填写完整是跨区域转诊患者到位的保护因素,转出前治疗时间>30 d是危险因素,相关部门应根据影响患者到位的主要因素,采取针对性措施。%Objective To investigate transfer treatment arrival and its influence factors in cross-regional management of tuberculosis patients, in order to provide theoretical reference for optimizing cross-regional management mechanism and improving the curative effect. Methods Tuberculosis patientsin cross-regional management during 2009~2013 in Baoan district of Shenzhen city were selected as study subjects. Comparisons were made on demographic features, diagnosis results, and transfer information between arrival patients and non-arrival ones. Non-conditional Logistic regression analysis was applied to analyze main influence factors for transfer treatment arrival. Results The arrival rate was 77.15%in tuberculosis patients in cross-regional management during 2009~2013 in Baoan district of Shenzhen city. The differences of age, occupation, leaving state, treatment time before transfer, complete filling of contact numbersbetween arrival patients and non-arrival patients had statisticalsignificance (P<0.05). The results of multi-factornon-conditional Logistic regression analysis showed that there was a correlation incomplete filling of contact numbers, treatment>30 d before transfer and patient arrival OR (95%CI) as 12.162(1.481, 99.848) and 0.109(0.031, 0.383). Conclusion Complete filling of contact numbers is a protective factor forcross-regionalpatient arrival, and treatment>30 d before transfer is a risk factor. Targeted measures should be taken according to the main influence factors of patient arrival by relevant departments.