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利用监测和行政数据描述 2014-2015 年加利福尼亚州的感染和医院暴露情况。

Characterizing infections and hospital exposures in California using surveillance and administrative data, 2014-2015.

机构信息

Healthcare-Associated Infections Program, Center for Health Care Quality, California Department of Public Health, Richmond, California.

出版信息

Infect Control Hosp Epidemiol. 2021 Mar;42(3):292-297. doi: 10.1017/ice.2020.447. Epub 2020 Sep 30.

DOI:10.1017/ice.2020.447
PMID:32993820
Abstract

OBJECTIVE

To evaluate a method to identify hospitals contributing to Clostridioides difficile infections (CDI) at subsequent hospitalizations.

DESIGN

Retrospective cohort study.

METHODS

We merged 2014-2015 National Healthcare Safety Network (NHSN) inpatient CDI laboratory-identified events with hospital patient discharge data. For patients with incident community-onset CDI (CO CDI), we identified immediately preceding admissions (within 12 weeks) unrelated to CDI at different (exposure) hospitals. We calculated an exposure rate, and we selected hospitals with the highest (90th-100th percentile) rates by hospital type and compared these rates with reported standardized infection ratios (SIR) for CDI.

RESULTS

We successfully matched 44,691 of 58,842 NHSN CDI records (76.0%) with a hospital discharge record. Among 36,215 unique matched records, 5,234 (14.5%) had an admission not related to CDI within 12 weeks prior to an incident CO CDI event, and 1,574 of these admissions (30.1%) occurred in a different hospital. For 33 hospitals with an exposure ranking within the 90th-100th percentile, CDI SIRs for 22 (66.7%) were not significantly different; 3 (9.1%) were lower; and 8 (24.2%) were higher than the national baseline. Also, 12 (36.4%) had an SIR ≤1.0.

CONCLUSIONS

The identification of high-ranked exposure hospitals presents an alternative to SIR for measuring the contribution of hospitals to the CDI burden across the continuum of care. Further exploration of the potential factors leading to high exposure rank, such as antibiotic use and infection control practices, is indicated and may inform CDI prevention outreach to healthcare facilities and provider networks in California and elsewhere.

摘要

目的

评估一种方法,以确定导致艰难梭菌感染(CDI)的医院在后续住院期间的作用。

设计

回顾性队列研究。

方法

我们将 2014-2015 年国家医疗保健安全网络(NHSN)住院 CDI 实验室鉴定事件与医院患者出院数据合并。对于患有偶发性社区获得性 CDI(CO CDI)的患者,我们确定了在不同(暴露)医院与 CDI 无关的最近一次入院(12 周内)。我们计算了暴露率,并按医院类型选择了暴露率最高的(第 90-100 百分位)医院,并将这些比率与报告的 CDI 标准化感染比(SIR)进行了比较。

结果

我们成功地将 NHSN CDI 记录的 58842 条记录中的 44691 条(76.0%)与医院出院记录相匹配。在 36215 条唯一匹配的记录中,有 5234 条(14.5%)在 CO CDI 事件发生前 12 周内有一次与 CDI 无关的入院,其中 1574 次入院(30.1%)发生在不同的医院。在 33 家暴露排名在第 90-100 百分位的医院中,有 22 家(66.7%)的 CDI SIR 没有显著差异;3 家(9.1%)较低;8 家(24.2%)较高。此外,有 12 家(36.4%)的 SIR≤1.0。

结论

识别高排名的暴露医院提供了一种替代 SIR 的方法,可衡量医院在整个医疗保健服务中对 CDI 负担的贡献。进一步探索导致高暴露排名的潜在因素,如抗生素使用和感染控制实践,是必要的,这可能为加利福尼亚州和其他地方的医疗机构和医疗服务提供者网络提供 CDI 预防外展服务提供信息。

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