结核病与肺部健康杂志 ›› 2019, Vol. 8 ›› Issue (2): 106-110.doi: 10.3969/j.issn.2095-3755.2019.02.007

• 论著 • 上一篇    下一篇

济南市肺结核患者就诊延迟及其影响因素分析

景睿1,王美花1,王晓婷1,曹艳民1()   

  1. 1. 250021 济南市疾病预防控制中心结核病防制所
  • 收稿日期:2019-03-21 出版日期:2019-06-30 发布日期:2019-07-10
  • 基金资助:
    济南市卫生科技计划项目(2014-49)

Analysis of patient delay and influencing factors among pulmonary tuberculosis patients in Ji’nan City

Rui JING1,Mei-hua WANG1,Xiao-ting WANG1,Yan-min CAO1()   

  1. 1. Department of Tuberculosis Control and Prevention, Ji’nan Municipal Center for Disease Control and Prevention, Ji’nan 250021,China
  • Received:2019-03-21 Online:2019-06-30 Published:2019-07-10

摘要:

目的 分析济南市肺结核患者就诊延迟情况及其影响因素,为本市卫生决策提供数据支持。方法 2018年11月济南市疾病预防控制中心按照济南市所辖10个县区的经济水平(高、中、低)及其所处地理位置,采用分层抽样的方法选取经济水平高的东部县区(章丘区)、经济水平中等的西部县区(平阴县)和经济水平低的南部县区(长清区)作为研究现场。对2018年1—6月在3个县区级结核病定点医院/结核病防治所确诊并管理登记且知情同意的234例肺结核患者开展面对面问卷调查,收集患者的人口学资料(性别、年龄、职业、文化程度、婚姻状况)、发病及就诊延迟时间和卫生服务可及性(距离村卫生室/社区卫生服务站、乡镇卫生院/社区卫生服务中心、县结核病定点医院及综合医院的距离)及所需时间等信息,回收问卷234份,信息完整234份,有效率100.0%。采用卡方检验和多因素logistic回归分析影响就诊延迟时间的相关因素。结果 济南市肺结核患者就诊延迟率为33.8%(79/234)。按照就诊延迟标准(≥14d),将患者分为延迟组(79例,33.8%)和未延迟组(155例,66.2%)。多因素logistic回归分析显示,高中[Wald χ 2=4.19,P=0.041,OR(95%CI)=0.16(0.03~0.93)]、大专及以上 [Wald χ 2=6.67,P=0.010,OR(95%CI)]=0.13(0.03~0.61)]、与卫生室距离>0.5km [Wald χ 2=15.63,P=0.000,OR(95%CI)=5.48(2.37~12.69)]是影响就诊延迟率的因素。结论 高中和大专及以上文化程度是降低就诊延迟率的影响因素,与卫生室距离>0.5km是增加就诊延迟率的因素。

关键词: 结核, 肺, 预防卫生服务, 病人预约和时间安排, 延误诊断, 因素分析, 统计学

Abstract:

Objective To investigate the patient delay among tuberculosis patients in Ji,nan and analyze the influencing factors in order to provide data support for health decision-making.Methods In November 2018, Ji’nan Municipal Center for Disease Control and Prevention selected 3 counties from all 10 counties by stratified sampling, the eastern counties with high economic level county (Zhanqiu District), the western counties with moderate economic level (Pingyin County) and the southern counties with low economic level (Changqing District). A face-to-face questionnaire survey was conducted on 234 patients with tuberculosis who were diagnosed and managed in the county-level tuberculosis control institutions from January to June 2018, and the demographic data (gender, age, occupation, education level, marital status), incidence and patient delay and access to health services (from village clinic/community health service station, township health center/community health service center, county tuberculosis designated hospital and general hospital) information such as distance and time required, 234 questionnaires were collected, and 234 information was completed, with an effective rate of 100.0%. Chi-square test and multivariate logistic regression were used to analyze the factors affecting the delay time of the visit.Results The patient delay rate of pulmonary tuberculosis patients in Ji’nan was 33.8% (79/234). Patients were divided into a delayed group (79 patients, 33.8%) and a non-delayed group (155 patients, 66.2%) according to the delay criteria for patient delay (≥14days). Multivariate logistic regression analysis showed that high school (Wald χ 2=4.19, P=0.041, OR (95%CI)=0.16 (0.03-0.93)), college and above (Wald χ 2=6.67, P=0.010, OR (95%CI)=0.13 (0.03-0.61)), and distance from the clinic >0.5 km (Wald χ 2=15.63, P=0.000, OR (95%CI)=5.48 (2.37-12.69)) were the factors affecting the patient delay.Conclusion The educational level of high school and college and above are the influencing factors to reduce the rate of patient delay. The distance from the clinic >0.5 km is the factor that increases rate of patient delay.

Key words: Tuberculosis, pulmonary, Preventive health services, Appointments and schedules, Delayed diagnosis, Factor analysis, statistical