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作 者:杨华荣 Yang Huarong(Centre for Disease Control and Prevention,Yucheng County,Henan Province,China 476300)
机构地区:[1]虞城县疾病预防控制中心,河南虞城476300
出 处:《辽宁医学杂志》2024年第5期76-80,共5页Medical Journal of Liaoning
摘 要:目的 研究疾病预防控制中心检验科微生物标本不合格的影响因素及控制对策。方法 回顾性分析435例虞城县疾病预防控制中心检验科在2022年1月至12月期间行微生物检验的患者资料,依据标本是否合格分为合格组(n=415)和不合格组(n=20)。统计其基本情况,并将有统计学意义的因素纳入Logistic回归模型,探讨标本不合格的影响因素。结果 435例患者中,有20例(4.60%)患者的标本不合格。经单因素及多因素Logistic回归分析得出:标本采集时间错误、标本污染、送检时间不及时、标本储存方式错误、采集人员与检测人员技能不达标可作为标本不合格的独立危险因素(P<0.05)。结论 2022年虞城县疾病预防控制中心微生物检验标本中约有4.60%的不合格率,主要影响因素为采集时间错误、标本污染、送检时间不及时、标本储存方式错误、采集人员与检测人员技能不达标,可采取相应的对策,以提高标本合格率,提高微生物检验质量。Objective To study the influencing factors and control measures of unqualified microbial specimens in the laboratory of CDC.Methods The data of 435 patients who underwent microbiological examination in the Laboratory of Yucheng County Center for Disease Control and Prevention from January to December 2022 were retrospectively analyzed and divided into qualified group(n=415)and unqualified group(n=20)according to whether the specimens were quali-fied.The basic situation was analyzed,and the statistically significant factors were incorporated into the Logistic regression model to explore the influencing factors of unqualified specimens.Results Out of 435 patients,20(4.60%)had sub-standard specimens.Univariate and multivariate Logistic regression analysis showed that incorrect specimen collection time,specimen contamination,late delivery time,incorrect specimen storage,and substandard skills of collection and testing per-sonnel could be independent risk factors for unqualified specimens(P<0.05).Conclusion In 2022,about 4.60% of the microbial test specimens in Yucheng County Center for Disease Control and Prevention were unqualified.The main influencing factors were incorrect collection time,sample contamination,late delivery time,incorrect storage methods of specimens,and substandard skills of collection personnel and testing personnel.Corresponding countermeasures could be taken to improve the qualified rate of specimens and improve the quality of microbial test.
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