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Cracking the code(s): Optimization of encounter-level diagnosis coding to inform outpatient antimicrobial stewardship data modeling
In 2016, the Centers for Disease Control and Prevention (CDC) released Core Elements of outpatient antimicrobial stewardship program (ASP) which include leadership commitment, action for policy and practice, data tracking and reporting, and education.1 Compared to the inpatient setting, outpatient A...
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Published in: | Infection control and hospital epidemiology 2024-04, Vol.45 (4), p.550-552 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | In 2016, the Centers for Disease Control and Prevention (CDC) released Core Elements of outpatient antimicrobial stewardship program (ASP) which include leadership commitment, action for policy and practice, data tracking and reporting, and education.1 Compared to the inpatient setting, outpatient ASP involves a significantly higher number of encounters, dramatically shorter encounter durations, and little direct control over dispensing.2 Thus, accurate, specific, and actionable prescribing data are foundational to outpatient ASP activity because they inform provider education, development of clinical decision support (CDS) tools, and comparison reporting. Encounter volumes (%) by study period Diagnosis Group Total Encounters (N = 29,558), No. (%) Preimplementation Encounters (n = 14,858), No. (%) Postimplementation Encounters (n = 14,700), No. (%) P Value Cystitis 14,904 (50.4) 4,555 (30.7) 10,349 (70.4) |
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ISSN: | 0899-823X 1559-6834 |
DOI: | 10.1017/ice.2023.296 |