infection control & hospital epidemiology july 2018, vol. 39, no. 7 original article
Predictors of Antimicrobial Stewardship Program Recommendation Disagreement
Laura L. Bio, PharmD, BCPS;1 Jenna F. Kruger, MPH;1 Betty P. Lee, PharmD;1 Matthew S. Wood, PhD;1 Hayden T. Schwenk, MD, MPH1,2
objective. To identify predictors of disagreement with antimicrobial stewardship prospective audit and feedback recommendations (PAFR) at a free-standing children’s hospital.
design. Retrospective cohort study of audits performed during the antimicrobial stewardship program (ASP) from March 30, 2015, to April 17, 2017.
methods. The ASP included audits of antimicrobial use and communicated PAFR to the care team, with follow-up on adherence to recommendations. The primary outcome was disagreement with PAFR. Potential predictors for disagreement, including patient-level, anti- microbial, programmatic, and provider-level factors, were assessed using bivariate and multivariate logistic regression models.
results. In total, 4,727 antimicrobial audits were performed during the study period; 1,323 PAFR (28%) and 187 recommendations (15%) were not followed due to disagreement. Providers were more likely to disagree with PAFR when the patient had a gastrointestinal infection (odds ratio [OR], 5.50; 95% confidence interval [CI], 1.99–15.21), febrile neutropenia (OR, 6.14; 95% CI, 2.08–18.12), skin or soft-tissue infections (OR, 6.16; 95% CI, 1.92–19.77), or had been admitted for 31–90 days at the time of the audit (OR, 2.08; 95% CI, 1.36–3.18). The longer the duration since the attending provider had been trained (ie, the more years of experience), the more likely they were to disagree with PAFR recommendations (OR, 1.02; 95% CI, 1.01–1.04).
conclusions. Evaluation of our program confirmed patient-level predictors of PAFR disagreement and identified additional programmatic and provider-level factors, including years of attending experience. Stewardship interventions focused on specific diagnoses and antimicrobials are unlikely to result in programmatic success unless these factors are also addressed.
Infect Control Hosp Epidemiol 2018;39:806–813
Prospective audit and feedback (PAF) is a core strategy used in antimicrobial stewardship programs (ASPs).1,2 In general, PAF is defined as postprescription review of antimicrobials by a member of an ASP team who provides feedback to the patient care providers regarding opportunities for antimicrobial optimization.3 The patient care team then decides whether to accept and implement the recommended changes. The PAF strategy has been successfully deployed in the pediatric setting and has been shown to reduce antimicrobial utilization and improve patient outcomes.4–8 Also, PAF programs have been recommended as a way to preserve prescribing autonomy because acceptance of PAF recommendations (PAFR) is voluntary. However, the roadmap to PAF success has not been clearly illustrated, and predictors of provider disagreement with ASP recommendations have not been fully elucidated.3
Stanford, California.
PREVIOUS PRESENTATION: A previous iteration of this data was presented at the Eighth Annual International Pediatric Antimicrobial Stewardship Conference on June 2, 2017, in St Louis Missouri. © 2018 by The Society for Healthcare Epidemiology of America. All rights reserved. 0899-823X/2018/3907-0006. DOI: 10.1017/ice.2018.85
Received December 27, 2017; accepted March 10, 2018; electronically published April 30, 2018
Given the time-intensive nature of individual chart review
and provider communication, an understanding of when and why providers disagree with PAFR is critically important to the efficiency and success of PAF. Prior studies in pediatric populations have identified the spectrum of antimicrobial activity, infectious problem, primary service, recommendation type, and role of the person receiving the PAFR as predictors of disagreement.8,9 The generalizability of these findings are limited by the exclusion of specific antimicrobials in PAF, including antifungals and antivirals, unique programmatic factors (eg, methods of communication, parallel stewardship activities), and the inclusion of a limited number of prespecified variables in models used to predict PAFR disagreement. Therefore, we sought to advance the current knowledge base and to examine whether additional patient-level, antimicrobial, programmatic,
Affiliations: 1. Lucile Packard Children’s Hospital Stanford, Stanford, California; 2. Department of Pediatrics, Stanford University School of Medicine,
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118 |
Page 119 |
Page 120 |
Page 121 |
Page 122 |
Page 123 |
Page 124 |
Page 125 |
Page 126 |
Page 127 |
Page 128 |
Page 129 |
Page 130 |
Page 131 |
Page 132 |
Page 133 |
Page 134 |
Page 135 |
Page 136 |
Page 137 |
Page 138 |
Page 139 |
Page 140 |
Page 141 |
Page 142 |
Page 143 |
Page 144