抗生素多样性指数:评估住院儿童抗生素差异的新指标。

Jessica L Markham, Matt Hall, Samir S Shah, Alaina Burns, Jennifer L Goldman
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引用次数: 0

摘要

背景:尽管有国家认可的治疗指南和监管计划,但以证据为基础的抗生素处方仍存在差异和偏差,从而导致使用不当和与用药相关的不良事件。抗生素处方变异性的测量方法有助于量化这一问题,但还不够充分:本研究的目的是开发一种标准化指标,用于量化儿童医院内部和之间的抗生素处方变异性(多样性),并研究其与治疗效果的关系:我们利用儿科健康信息系统数据库对 2017-2019 年期间因 15 种常见儿科感染之一住院的儿童进行了经验性抗生素暴露的横断面研究。排除了患有复杂慢性病、转入和出生住院的儿童。我们使用香农-韦纳熵指数(Shannon-Weiner entropy index),用多样性的 d-度量来量化每种感染类型的抗生素多样性。我们使用广义线性混合效应模型来研究医院抗生素多样性与风险调整后住院时间和费用之间的关系:结果:共纳入了 79515 例常见儿科感染住院病例。医院内部和医院之间的抗生素多样性各不相同。平均抗生素多样性较低的感染包括阑尾炎(平均多样性 [mDiv] = 4.9,SD = 2.5)和深颈部感染(mDiv = 5.9,SD = 1.9)。抗生素平均多样性较高的感染包括肺炎(mDiv = 23.4,SD = 5.6)和脓毒血症/菌血症(mDiv = 28.5,SD = 12.1)。医院层面的抗生素多样性与风险调整后的住院时间或成本之间没有统计学意义上的关联:我们开发并应用了一种新的指标来量化抗生素处方的多样性,该指标允许在不同医院之间进行比较,并可用于确定地方和国家监管干预的重点领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antibiotic Diversity Index: A novel metric to assess antibiotic variation among hospitalized children.

Background: Despite nationally endorsed treatment guidelines and stewardship programs, variation and deviation from evidence-based antibiotic prescribing occur, contributing to inappropriate use and medication-related adverse events. Measures of antibiotic prescribing variability can aid in quantifying this problem but are not adequate.

Objective: The objective of this study is to develop a standardized metric to quantify antibiotic prescribing variability (diversity) within and across children's hospitals, and to examine its association with outcomes.

Methods: We performed a cross-sectional study of empiric antibiotic exposure among children hospitalized during 2017-2019 with one of 15 common pediatric infections using the Pediatric Health Information System database. Encounters for children with complex chronic conditions, transfers in, and birth hospitalizations were excluded. Using the Shannon-Weiner entropy index, we quantified antibiotic diversity for each infection type using the d-measure of diversity. Generalized linear mixed-effects models were used to examine the association between hospital-level antibiotic diversity and risk-adjusted length of stay and costs.

Results: A total of 79,515 hospitalizations for common pediatric infections were included. Antibiotic diversity varied within and across hospitals. Infections with low mean antibiotic diversity included appendicitis (mean diversity [mDiv] = 4.9, SD = 2.5) and deep neck space infections (mDiv = 5.9, SD = 1.9). Infections with high mean antibiotic diversity included pneumonia (mDiv = 23.4, SD = 5.6) and septicemia/bacteremia (mDiv = 28.5, SD = 12.1). There was no statistically significant association between hospital-level antibiotic diversity and risk-adjusted LOS or costs.

Conclusions: We developed and applied a novel metric to quantify diversity in antibiotic prescribing that permits comparisons across hospitals and can be leveraged to identify high-priority areas for local and national stewardship interventions.

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