中国实用医药
中國實用醫藥
중국실용의약
CHINA PRACTICAL MEDICAL
2015年
15期
282-284
,共3页
王云霞%赵梅桂%郭玲%赵安贵%黄政%欧阳选
王雲霞%趙梅桂%郭玲%趙安貴%黃政%歐暘選
왕운하%조매계%곽령%조안귀%황정%구양선
肺结核%跨区域管理%影响因素%到位
肺結覈%跨區域管理%影響因素%到位
폐결핵%과구역관리%영향인소%도위
Tuberculosis%Cross-regional management%Influence factors%Arrival
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。
目的:探討跨區域管理肺結覈患者的到位情況及影響因素,為優化跨區域管理機製、提高治療效果提供理論依據。方法以2009~2013年深圳市寶安區跨區域管理的肺結覈患者為研究對象,比較轉診到位與未到位患者在人口學特徵、診斷結果、轉入轉齣信息等方麵的差異,同時採用非條件Logistic迴歸分析探討影響跨區域轉診到位的主要因素。結果2009~2013年深圳市寶安區跨區域管理肺結覈患者的轉診到位率為77.15%。到位與未到位患者在年齡、職業、離開時狀態、轉齣前治療時間、患者及聯繫人電話填寫完整性的構成方麵比較差異有統計學意義(P<0.05);多因素非條件Logistic迴歸分析顯示,患者及聯繫人電話填寫完整和轉齣前治療時間>30 d與患者到位顯著相關, OR(95%CI)分彆為12.162(1.481,99.848)和0.109(0.031,0.383)。結論患者及聯繫人電話填寫完整是跨區域轉診患者到位的保護因素,轉齣前治療時間>30 d是危險因素,相關部門應根據影響患者到位的主要因素,採取針對性措施。
목적:탐토과구역관리폐결핵환자적도위정황급영향인소,위우화과구역관리궤제、제고치료효과제공이론의거。방법이2009~2013년심수시보안구과구역관리적폐결핵환자위연구대상,비교전진도위여미도위환자재인구학특정、진단결과、전입전출신식등방면적차이,동시채용비조건Logistic회귀분석탐토영향과구역전진도위적주요인소。결과2009~2013년심수시보안구과구역관리폐결핵환자적전진도위솔위77.15%。도위여미도위환자재년령、직업、리개시상태、전출전치료시간、환자급련계인전화전사완정성적구성방면비교차이유통계학의의(P<0.05);다인소비조건Logistic회귀분석현시,환자급련계인전화전사완정화전출전치료시간>30 d여환자도위현저상관, OR(95%CI)분별위12.162(1.481,99.848)화0.109(0.031,0.383)。결론환자급련계인전화전사완정시과구역전진환자도위적보호인소,전출전치료시간>30 d시위험인소,상관부문응근거영향환자도위적주요인소,채취침대성조시。
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.