1. Anti-infective Acquisition Costs for a Stewardship Program: Getting to the Bottom Line.
- Author
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Parker, Sarah K., Hurst, Amanda L., Thurm, Cary, Millard, Matthew, Jenkins, Timothy C., Child, Jason, and Dugan, Casey
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ANTIBIOTICS , *CHILDREN'S hospitals , *COST control , *DRUG resistance in microorganisms , *MEDICAL care costs , *PATIENT safety , *COST analysis , *RETROSPECTIVE studies , *VALUE-based healthcare - 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 patientlevel 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 $12 785 and $21 380 per 1000 patient-days, respectively, for a total yearly cost savings of $54 656 for pharmacy purchasing data, $1 184 336 for EMR data, and $2 117 522 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. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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