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首页> 外文期刊>Infection control and hospital epidemiology >Identifying outliers of antibiotic usage in prevalence studies on nosocomial infections.
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Identifying outliers of antibiotic usage in prevalence studies on nosocomial infections.

机译:在院内感染的流行研究中识别异常的抗生素使用情况。

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OBJECTIVE: To investigate whether the correlation between patients' antibiotic treatment (yeso) and patients' infections (yeso) in each hospital department, described by Pearson's correlation coefficient (p) for binary data as a measure for adequate use of antibiotics, is an appropriate quality indicator. DESIGN: Comparison of the results of repeated prevalence studies in different hospitals with the data of a national prevalence study, comparing the hospital (p) and reference (pNIDEP[Nosokomiale Infektionen in Deutschland: Erfassung und Pravention]) correlation coefficients for "use of antibiotics/ presence of infections." SETTING: The data of 5,377 surgical patients were separated from the total data of a national prevalence study in 72 representative hospitals to create a reference correlation coefficient (rhoNIDEP) with a reference range. Nine additional prevalence studies, involving a total of 4,984 patients, were repeatedly performed in the surgical departments of 8 other hospitals during a 12-month period, whereby the correlation coefficients rho(n) for every prevalence investigation were determined. RESULTS: In the national prevalence study, 15.3% of the surgical patients received antibiotics on the study day. Surgical patients had a 3.8% prevalence of nosocomial infections and a 7.0% prevalence of community-acquired infections. Pearson's correlation coefficient rhoNIDEP for correlation between patients' binary data use of antibiotics and presence of infection was 0.62. To compare the correlation coefficient of each department with the appropriate reference range, the coefficients of the single departments were plotted against the number of patients; in these plots, three lines indicated the value rhoNIDEP and the upper and lower reference ranges, depending on the number of patients. Seven of eight surgical departments investigated during the repeated prevalence studies were found to be within the reference range, near the reference value, in the majority of prevalence studies; only one of the departments was identified as an outlier as regards antibiotic use. CONCLUSION: The correlation between patients' antibiotic treatment (yeso) and patients' infections (yeso) in hospitals or departments, as described by Pearson's correlation coefficient p for binary data with a definitive reference range depending on the number of patients, is useful for quality management in identifying the overall necessity for evaluating the indications for antibiotic use in one's own hospital.
机译:目的:调查每个医院部门患者的抗生素治疗(是/否)和患者感染(是/否)之间的相关性,用二元数据的皮尔逊相关系数(p)来描述,以衡量是否适当使用抗生素,是合适的质量指标。设计:比较不同医院重复进行的流行病学研究的结果与国家流行病学研究的数据,比较医院(p)和参考数据(pNIDEP [德国的Nosokomiale Infektionen:Erfassung und Pravention])相关系数“使用抗生素/有感染。”地点:将5377名外科手术患者的数据与72家代表性医院的全国患病率研究的总数据分开,以创建具有参考范围的参考相关系数(rhoNIDEP)。在12个月的期间内,又在其他8家医院的外科部门中重复进行了9项患病率研究,涉及总共4,984例患者,从而确定了每次患病率调查的相关系数rho(n)。结果:在全国患病率研究中,有15.3%的外科手术患者在研究当天接受了抗生素治疗。手术患者的医院感染率为3.8%,社区获得性感染率为7.0%。患者二元数据使用抗生素与感染存在之间的Pearson相关系数rhoNIDEP为0.62。为了将每个部门的相关系数与适当的参考范围进行比较,将单个部门的系数与患者人数作图;在这些图中,三线表示值rhoNIDEP以及参考范围的上限和下限,具体取决于患者的人数。在大多数患病率研究中,在重复患病率研究期间接受调查的八个外科部门中,有七个处于参考范围内,接近参考值。关于抗生素的使用,只有一个部门被确定为异常值。结论:医院或科室患者的抗生素治疗(是/否)与患者感染(是/否)之间的相关性,如皮尔逊相关系数p对二值数据的描述,该确定性参考范围取决于患者人数,在确定自己医院评估抗生素使用适应症的总体必要性时,对于质量管理很有用。

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