| 赵凤,徐立新,孙业桓.2010―2020年嘉定工业区结核病病人发现延迟趋势和影响因素分析[J].安徽医药,2023,27(2):319-324. |
| 2010―2020年嘉定工业区结核病病人发现延迟趋势和影响因素分析 |
| Trend of delayed detection of tuberculosis patients in the Jiading industrial zone and analysis of influencing factors from 2010―2020 |
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| DOI：10.3969/j.issn.1009-6469.2023.02.024 |
| 中文关键词: 结核 延迟诊断 发现延迟 就诊延迟 影响因素 |
| 英文关键词: Tuberculosis Delayed diagnosis Delay in detection Delay in consultation Influential factors |
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| 中文摘要: |
| 目的分析 2010―2020年嘉定工业区结核病病人发现延迟的特点和变化趋势，探讨发现延迟的影响因素。方法该研究资料来源于“中国疾病预防控制信息系统”登记确诊的 2010―2020年结核病疫情数据。采用 χ2趋势检验分析发现延迟的趋势， logistic回归分析模型分析发现延迟的影响因素。结果本研究检出就诊延迟 212例，就诊延迟率为 39.92%，诊断延迟 168例，诊断延迟率为 31.64%。不同年份结核病病人就诊延迟率、诊断延迟率差异无统计学意义。多因素 logistic回归模型分析显示痰涂片阳性［β=0.89，OR=2.43，95%CI:(1.04，5.69)，P=0.041］、重症［β=.0.85，OR=0.43，95%CI:(0.20，0.90)P=0.025］是就诊延迟的影响因素，病人来源［因症就诊: β=.1.48，OR=0.23，95%CI:(0.08，0.69)P=0.025］、首诊单位类型［专科，医院: β= .1.04，OR=0.36，(0.17， P=0.007］、OR=0.23，(，0.56)P=0.001］是诊断延迟的影 |
| 英文摘要: |
| Objective To analyze the characteristics and trends of delayed detection of tuberculosis patients in the Jiading Industri-al Zone from 2010 to 2020 and to explore the factors influencing the delayed detection.Methods The present study was based on tu-berculosis epidemic data from 2010 to 2020 registered in the China Information System for Disease Control and Prevention. A chi-square trend test was used to analyze the trend of detection delays and a logistic regression analysis model was used to analyze the fac-tors influencing the detection delays. Results In this study, 212 cases of delayed visits were detected, with a delayed visit rate of39.92%, and 168 cases of delayed diagnosis were detected, with a delayed diagnosis rate of 31.64%. There was no statistically signifi-cant difference in the rates of delayed visits and delayed diagnosis among tuberculosis patients in different years. Multivariate logisticregression model analysis revealed positive sputum smear [β=0.89, OR=2.43, 95% CI: (1.04, 5.69), P=0.041], severe illness [β=.0.85, OR=0.43, 95% CI: (0.20, 0.90), P=0.025] as influencing factors for delayed visit; patient source [due to illness visit: β=. 1.48, OR= 0.23, 95% CI: (0.08, 0.69), P=0.025], type of first visit unit [specialty hospital: β=.1.04, OR=0.36, 95% CI: (0.17, 0.75), P=0.007], and positive sputum smear [β = . 1.46, OR=0.23, 95% CI: (0.10, 0.56), P=0.001] were influential factors for delay in diagnosis. Conclu. sions The rate of delay in consultation and diagnosis fluctuated from 2010 to 2020, but there were no significant differences in therates of delay in consultation and diagnosis in different years. Sputum smear results and the presence or absence of severe disease wereinfluential factors for delayed consultation, and positive sputum smear, consultation due to illness, and consultation at a specialist hos-pital were influential factors for delayed diagnosis. |
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