2019-2023年河南省首诊结核病非定点医疗机构的肺结核患者诊断时间及影响因素分析

Analysis on timeliness of pulmonary tuberculosis diagnosis in patients making the first visits to non-designated medical institutions and influencing factors in Henan, 2019−2023

  • 摘要:
    目的 分析河南省首诊结核病非定点医疗机构(非定点医疗机构)的肺结核患者诊断时间、肺结核检出率及其影响因素,探索避免肺结核患者诊断延迟,提高检出率的措施。
    方法 采用回顾性队列分析。从中国疾病预防控制信息系统中导出河南省2019—2023年非定点医疗机构报告的肺结核疑似和临床诊断病例,计算其被结核病定点医疗机构(定点医疗机构)诊断为肺结核所需天数,并对肺结核诊断时间的影响因素进行分析。单因素分析采用 Kaplan-Meier 法,组间比较采用log-rank法检验,多因素分析采用 Cox回归模型。
    结果 纳入研究的180737例肺结核疑似和临床诊断病例中,53818例被定点医疗机构诊断为肺结核,检出率为29.78%。 诊断时间MP25P75)为35(5,96)d,诊断时间最长的五个特征为疑似病例(78 d)、市县两次审核(74 d)、追踪到位(69 d)、首诊单位为基层医疗机构(64 d)和65~94岁年龄组(52 d)。 Cox多因素分析发现,疑似病例风险比(HR)=0.25,95.0%CI:0.25~0.26;市县两次审核(HR=0.50,95%CI:0.48~0.52);追踪到位(HR=0.62,95%CI:0.61~0.64);首诊单位为基层医疗机构(HR=0.61,95%CI:0.58~0.63);65~94岁年龄组(HR=0.68,95%CI:0.67~0.70)新发传染病流行年就诊(HR=0.87,95%CI:0.86~0.89)、本县区转诊(HR=0.91,95%CI:0.88~0.93)、农民(HR=0.91,95%CI:0.89~0.93)、女性(HR=0.92,95%CI:0.91~0.94)和未住院(HR=0.93,95%CI:0.89~0.97)是诊断时间的独立影响因素。
    结论 非定点医疗机构肺结核诊断延迟的影响因素包括患者方和医疗机构方等因素。 需提高定点医疗机构和非定点医疗机构的快速诊断能力,加强医防合作,加强对重点人群如老年人和农民的健康教育,提高肺结核检出率,缩短诊断时间,助力终结结核病目标的实现。

     

    Abstract:
    Objective To analyze the diagnosis timeliness and detection rate of pulmonary tuberculosis(TB) and its influencing factors of pulmonary TB patients newly diagnosed by non-designated medical institutions in Henan province and explore measures to avoid the delay in diagnosis and improve the detection rate.
    Methods Retrospective cohort study was used. The data of suspected and clinically diagnosed pulmonary TB cases diagnosed by non-designated medical institutions in Henan from 2019 to 2023 were collected from the Chinese Disease Prevention and Control Information System. The days required for the diagnosis of pulmonary TB by the designated medical institutions were calculated. The factors affecting the diagnosis timeliness of pulmonary TB were analyzed. Kaplan-Meier method was used for univariate analysis, log-rank method was used for inter group comparison, and Cox regression model was used for multivariate analysis.
    Results In 180737 suspected and clinically diagnosed pulmonary TB cases included in the study, 53818 were diagnosed with pulmonary TB by the designated medical institutions, with a detection rate of 29.78%. The diagnosis time M(P25, P75) was 35 (5,96) days. The cases with the longest diagnosis time were characterized by being suspected cases (78 days), being examined by city and county medical institutions (74 days), being traced (69 days), making the first visit to primary medical institution (64 days), and being aged 65−94 years (52 days). Cox multivariate analysis revealed that being suspected cases (HR=0.25, 95%CI: 0.25−0.26), being examined by city and county level medical institution(HR=0.50, 95%CI: 0.48−0.52), being traced (HR=0.62, 95.0%CI: 0.61−0.64), making the first visit to primary medical institution (HR=0.61, 95%CI: 0.58~0.63), being aged 65−94 years (HR=0.68, 95%CI: 0.66−0.70); being diagnosed during an emerging infectious disease pandemic period (HR=0.87, 95%CI: 0.86-0.89), referral to local county and district medical institutions (HR=0.91, 95%CI: 0.88−0.93); being farmer (HR=0.91, 95%CI: 0.89−0.93); being woman (HR=0.92, 95%CI: 0.91−0.94) and being not hospitalized (HR=0.93, 95%CI: 0.89−0.97) were independent influencing factors of diagnosis timeliness.
    Conclusion The influencing factors of delayed diagnosis of pulmonary TB in non-designated medical institutions in Henan included the factors from both patients and medical institutions. It is necessary to improve the rapid diagnosis of pulmonary TB in both designated medical institutions and non-designated medical institutions, strengthen cooperation of medical treatment and prevention service as well as health education in key populations, such as the elderly and farmers, to improve the detection rate of pulmonary TB, shorten the diagnosis interval for the goal of ending TB.

     

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