首页|2013-2022年自贡市结核病患者就诊延迟情况及影响因素分析

2013-2022年自贡市结核病患者就诊延迟情况及影响因素分析

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目的 了解自贡市结核病就诊延迟情况,分析其影响因素,为该地区制定相关政策及采取针对性措施提供依据.方法 通过中国疾病预防控制信息系统中的结核病信息管理系统,收集2013-2022年自贡市14 807例结核病患者的病案信息,拟合Joinpoint回归模型,分析2013-2022年就诊延迟率变化趋势,采用非条件多因素logistic回归分析模型对结核病患者就诊延迟影响因素进行分析.结果 自贡市结核病患者就诊延迟率总体呈上升趋势,不同性别就诊延迟率变化均呈上升趋势,20~<60岁和≥60岁年龄组就诊延迟率变化均呈上升趋势.多因素logistic回归分析模型分析结果显示,2020-2022年,患者来源为追踪、直接就诊、推介、其他来源,以及结核性胸膜炎的结核病患者就诊延迟风险更高(均P<0.05).学生、家政及待业、工人及民工、主动发现、病原学结果阴性、富顺县、贡井区的结核病患者就诊延迟风险更低(均P<0.05).结论 2013-2022年自贡市结核病患者就诊延迟率总体呈上升趋势,自贡市结核病患者就诊延迟可能与职业类型、患者来源、诊断分型、病原学结果和年份有关,应针对上述因素实施有效的干预措施.
Delay on care-seeking and related influencing factors among tuberculosis patients in Zigong,2013-2022
Objective To understand the situation of delay in tuberculosis care-seeking in Zigong,analyze the related influencing factors,and provide a reference for the future formulation of relevant policies and adoption of targeted measures in the region.Methods The medical record informa-tion of 14 807 tuberculosis patients in Zigong from 2013 to 2022 was collected through the"tuberculosis information management system",a subsystem of the China disease prevention and control information system.The Joinpoint regression model was used to analyze the trend of the delay rates over this period.Additionally,The influencing factors of delayed visits of tuberculosis patients were analyzed using the unconditional multivariate logistic regression model.Results The delayed rate of tuberculosis patients in Zigong City showed an overall increasing trend.And the delayed rate of different genders showed an upward trend.And the delay rates for patients aged 20 to 59 and ≥ 60 also showing an upward trend.Multivariate logistic regression analysis showed that in 2020-2022,the sources of patients include follow-up,direct treatment,promotion,other sources,and tuberculosis pleurisy had a higher risk of delayed TB treatment(all P<0.05).The risk of delay in care-seeking was lower for patients who were students,domestic workers and unemployed,workers and migrant workers,as well as patients whose sources were actively detected,and whose pathogenetic results were negative,or belonged to areas such as Fushun County and Gongjing District(all P<0.05).Conclusions The delay rate of tuberculosis patients in Zigong City showed an overall upword trend from 2013 to 2022.The delay of tuberculosis patients in Zigong City may be related to occupational type,patient source,diagnosis type,etiology results and registration year.It is crucial to implement effective intervention strategies to address the above factors.

TuberculosisDisease surveillanceCare-seeking delayJoinpoint regression

卓凌云、曹洪、杜柯楠、张雨、张越、雷立健

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山西医科大学公共卫生学院流行病学教研室,太原 030001

自贡市疾病预防控制中心,自贡 643000

山西医科大学公共卫生学院劳动卫生学教研室,太原 030001

煤炭环境致病与防治教育部重点实验室,太原 030001

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结核病 疾病监测 就诊延迟 Joinpoint回归

2024

中华疾病控制杂志
中华预防医学会 安徽医科大学

中华疾病控制杂志

CSTPCD北大核心
影响因子:1.862
ISSN:1674-3679
年,卷(期):2024.28(11)