Clinical Diagnoses and Antimicrobials Predictive of Pediatric Antimicrobial Stewardship Recommendations: A Program Evaluation

Jennifer L. Goldman, Brian R. Lee, Adam L. Hersh, Diana Yu, Leslie M. Stach, Angela L. Myers, Mary Anne Jackson, James C. Day, Russell J. McCulloh, Jason G. Newland

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

BACKGROUND The number of pediatric antimicrobial stewardship programs (ASPs) is increasing and program evaluation is a key component to improve efficiency and enhance stewardship strategies. OBJECTIVE To determine the antimicrobials and diagnoses most strongly associated with a recommendation provided by a well-established pediatric ASP. DESIGN AND SETTING Retrospective cohort study from March 3, 2008, to March 2, 2013, of all ASP reviews performed at a free-standing pediatric hospital. METHODS ASP recommendations were classified as follows: stop therapy, modify therapy, optimize therapy, or consult infectious diseases. A multinomial distribution model to determine the probability of each ASP recommendation category was performed on the basis of the specific antimicrobial agent or disease category. A logistic model was used to determine the odds of recommendation disagreement by the prescribing clinician. RESULTS The ASP made 2,317 recommendations: stop therapy (45%), modify therapy (26%), optimize therapy (19%), or consult infectious diseases (10%). Third-generation cephalosporins (0.20) were the antimicrobials with the highest predictive probability of an ASP recommendation whereas linezolid (0.05) had the lowest probability. Community-Acquired pneumonia (0.26) was the diagnosis with the highest predictive probability of an ASP recommendation whereas fever/neutropenia (0.04) had the lowest probability. Disagreement with ASP recommendations by the prescribing clinician occurred 22% of the time, most commonly involving community-Acquired pneumonia and ear/nose/throat infections. CONCLUSIONS Evaluation of our pediatric ASP identified specific clinical diagnoses and antimicrobials associated with an increased likelihood of an ASP recommendation. Focused interventions targeting these high-yield areas may result in increased program efficiency and efficacy. Infect Control Hosp Epidemiol 2015;00(0): 1-8.

Original languageEnglish
Pages (from-to)673-680
Number of pages8
JournalInfection Control and Hospital Epidemiology
Volume36
Issue number6
DOIs
StatePublished - 2015

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