Literature DB >> 30261936

Blood culture utilization at an academic hospital: Addressing a gap in benchmarking.

Annie I Chen1, Warren B Bilker2, Keith W Hamilton3, Judith A O'Donnell3, Irving Nachamkin4.   

Abstract

OBJECTIVE: To describe the pattern of blood culture utilization in an academic university hospital setting.
DESIGN: Retrospective cohort study.
SETTING: A 789-bed tertiary-care university hospital that processes 40,000+blood cultures annually.
METHODS: We analyzed blood cultures collected from adult inpatients at the Hospital of the University of Pennsylvania between July 1, 2014, and June 30, 2015. Descriptive statistics and regression models were used to analyze patterns of blood culture utilization: frequency of blood cultures, use of repeat cultures following a true-positive culture, and number of sets drawn per day.
RESULTS: In total, 38,939 blood culture sets were drawn during 126,537 patient days (incidence rate, 307.7 sets per 1,000 patient days). The median number of blood culture sets drawn per hospital encounter was 2 (range, 1-76 sets). The median interval between blood cultures was 2 days (range, 1-71 days). Oncology services and cultures with gram-positive cocci were significantly associated with greater odds of having repeat blood cultures drawn the following day. Emergency services had the highest rate of drawing single blood-culture sets (16.9%), while oncology services had the highest frequency of drawing ≥5 blood culture sets within 24 hours (0.91%). Approximately 10% of encounters had at least 1 true-positive culture, and 89.2% of those encounters had repeat blood cultures drawn. The relative risk of a patient having repeat blood cultures was lower for those in emergency, surgery, and oncology services than for those in general medicine.
CONCLUSIONS: Ordering practices differed by service and culture results. Analyzing blood culture utilization can contribute to the development of guidelines and benchmarks for appropriate usage.

Entities:  

Mesh:

Year:  2018        PMID: 30261936     DOI: 10.1017/ice.2018.231

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


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