Sarah K Parker1, Amanda L Hurst2, Cary Thurm3, Matthew Millard2, Timothy C Jenkins4,5, Jason Child2, Casey Dugan2. 1. Department of Pediatrics, Division of Pediatric Infectious Diseases and Epidemiology, University of Colorado School of Medicine. 2. Department of Pharmacy, Children's Hospital Colorado, Aurora. 3. Children's Hospital Association, Lenexa, Kansas. 4. Department of Medicine, Division of Infectious Diseases, University of Colorado Hospital, University of Colorado School of Medicine, Aurora. 5. Denver Health, Colorado.
Abstract
BACKGROUND: Though antimicrobial stewardship programs (ASPs) are in place for patient safety, financial justification is often required. In 2016, the Infectious Diseases Society of America (IDSA) recommended that anti-infective costs be measured by patient-level administration data normalized for patient census. Few publications use this methodology. Here, we aim to compare 3 methods of drug cost analysis during 3 phases of an ASP as an example of this recommendation's implementation. METHODS: At a freestanding pediatric hospital, we retrospectively assessed anti-infective cost using pharmacy purchasing data, patient-level administration data from the electronic medical record (EMR), and patient-level administration data from the Pediatric Hospital Information Systems (PHIS) database, all normalized to patient census. Costs pre-ASP, while planning the ASP, and post-ASP were then compared for each method. RESULTS: Significant differences in costs between the methods were observed. Pharmacy purchasing endorsed minimal financial benefit (decrease planning to post-ASP of $590 dollars per 1000 patient-days), while the EMR and PHIS data endorsed a decrease of $12785 and $21380 per 1000 patient-days, respectively, for a total yearly cost savings of $54656 for pharmacy purchasing data, $1184336 for EMR data, and $2117522 for PHIS data. CONCLUSIONS: Pharmacy purchasing data underestimated cost savings compared with EMR and PHIS data, while EMR and PHIS data were comparable in magnitude of savings. At Children's Hospital Colorado, savings justified the full cost of the ASP. EMR patient-level administration data, normalized to patient census, offers a readily available and standardized measure of anti-infective costs over time.
BACKGROUND: Though antimicrobial stewardship programs (ASPs) are in place for patient safety, financial justification is often required. In 2016, the Infectious Diseases Society of America (IDSA) recommended that anti-infective costs be measured by patient-level administration data normalized for patient census. Few publications use this methodology. Here, we aim to compare 3 methods of drug cost analysis during 3 phases of an ASP as an example of this recommendation's implementation. METHODS: At a freestanding pediatric hospital, we retrospectively assessed anti-infective cost using pharmacy purchasing data, patient-level administration data from the electronic medical record (EMR), and patient-level administration data from the Pediatric Hospital Information Systems (PHIS) database, all normalized to patient census. Costs pre-ASP, while planning the ASP, and post-ASP were then compared for each method. RESULTS: Significant differences in costs between the methods were observed. Pharmacy purchasing endorsed minimal financial benefit (decrease planning to post-ASP of $590 dollars per 1000 patient-days), while the EMR and PHIS data endorsed a decrease of $12785 and $21380 per 1000 patient-days, respectively, for a total yearly cost savings of $54656 for pharmacy purchasing data, $1184336 for EMR data, and $2117522 for PHIS data. CONCLUSIONS: Pharmacy purchasing data underestimated cost savings compared with EMR and PHIS data, while EMR and PHIS data were comparable in magnitude of savings. At Children's Hospital Colorado, savings justified the full cost of the ASP. EMR patient-level administration data, normalized to patient census, offers a readily available and standardized measure of anti-infective costs over time.
Authors: Christine E MacBrayne; Manon C Williams; Haley Obermeier; Jason Child; Justin W Heizer; Matt Millard; Kelly Pearce; Casey Dugan; Sarah K Parker Journal: Hosp Pharm Date: 2019-05-04
Authors: D Donà; E Barbieri; M Daverio; R Lundin; C Giaquinto; T Zaoutis; M Sharland Journal: Antimicrob Resist Infect Control Date: 2020-01-03 Impact factor: 4.887
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