{
    "abstract": "Existing best practices to monitor and prevent health care-associated infections (HAIs) were ineffective during the COVID-19 pandemic due to increased patient susceptibility toward infections, reduced resources, and increased use of agency nurses.\nA review of the US hospitals revealed a 60% increase in central line-associate bloodstream infections (CLABSIs) and a 43% increase in catheter-associated urinary tract infections (CAUTIs) in 2020. A large, academic, level 1 trauma center in Houston, Texas, experienced similar challenges at the start of the COVID-19 pandemic.\nAn interdisciplinary team of nurses, infection preventionists, and hospital educators combined and adapted existing evidence-based practices in a novel way to create a nursing-led toolkit for quality improvement tracking, improving, and sustaining HAI improvements.\nCLABSI and CAUTI rates were reduced over time following the introduction of the Nurse-Sensitive Indicator Quality Improvement (NSIQI) Toolkit. The CLABSI standardized infection ratio (SIR) decreased by 19%, and the CAUTI SIR decreased by 19.4%.\nThe novel NSIQI Toolkit is a scalable tool for improving and sustaining CLABSI and CAUTI rates, which may have the potential for other nurse-sensitive quality indicators.",
    "authors": [
        {
            "affiliation": "Memorial Hermann-Texas Medical Center (Mss McVey, von Wenckstern, Mills, McCauley, Rivera, and Reed), Houston, Texas; and Children's Memorial Hermann Hospital, Houston, Texas (Ms Yager).",
            "firstname": "Caitlin",
            "initials": "C",
            "lastname": "McVey"
        },
        {
            "affiliation": null,
            "firstname": "Toni",
            "initials": "T",
            "lastname": "von Wenckstern"
        },
        {
            "affiliation": null,
            "firstname": "Courtney",
            "initials": "C",
            "lastname": "Mills"
        },
        {
            "affiliation": null,
            "firstname": "Lauren",
            "initials": "L",
            "lastname": "Yager"
        },
        {
            "affiliation": null,
            "firstname": "Christopher",
            "initials": "C",
            "lastname": "McCauley"
        },
        {
            "affiliation": null,
            "firstname": "Yvana",
            "initials": "Y",
            "lastname": "Rivera"
        },
        {
            "affiliation": null,
            "firstname": "Elizabeth",
            "initials": "E",
            "lastname": "Reed"
        }
    ],
    "conclusions": null,
    "copyrights": "Copyright \u00a9 2022 Wolters Kluwer Health, Inc. All rights reserved.",
    "doi": "10.1097/NCQ.0000000000000634",
    "journal": "Journal of nursing care quality",
    "keywords": [],
    "methods": null,
    "publication_date": "2022-07-08",
    "pubmed_id": "35797652",
    "results": null,
    "title": "Nurse-Sensitive Indicator Quality Improvement Toolkit: A Scalable Solution to Improve Health Care-Associated Infections.",
    "xml": "<Element 'PubmedArticle' at 0x7885045e4450>"
}