Evidence map›Paper›PMID 42345285›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2026

DASC-LOT Framework and S3 Metric: A Novel Evaluation and Benchmarking Method to Assess Initiation, Duration, and Spectrum of Antimicrobial Usage at Inpatient Hospital Settings.

Michihiko Goto, Shungo Imai, Hyunkeun Cho, James A Merchant, Matthew Bidwell Goetz, Eli N Perencevich, Bruce Alexander, Qianyi Shi, Andrea Holcombe, Daniel J Livorsi

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Michihiko GotoCenter for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa, USA.ORCID 0000-0001-6612-5613
Shungo ImaiDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.ORCID 0000-0001-5706-613X
Hyunkeun ChoCenter for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa, USA.ORCID 0000-0003-2361-258X
James A MerchantCenter for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa, USA.
Matthew Bidwell GoetzInfectious Diseases Section, VA Greater Los Angeles Health Care System, Los Angeles, California, USA.ORCID 0000-0003-4542-992X
Eli N PerencevichCenter for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa, USA.ORCID 0000-0002-3721-3355
Bruce AlexanderCenter for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa, USA.
Qianyi ShiCenter for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa, USA.ORCID 0000-0003-1149-1231
Andrea HolcombeDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
Daniel J LivorsiCenter for Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, Iowa, USA.ORCID 0000-0001-8523-214X

Funding

HSRD VA CIN 13-412HSRD VA I01 HX003595US Department of Veterans AffairsVA Office of Research & Development, Health Systems Research
6 · The paper itself

Abstract

backgroundInpatient antimicrobial stewardship programs (ASPs) promote avoiding unnecessary initiation, excessively long duration, and overly broad-spectrum selection of antimicrobials, but currently available metrics do not adequately reflect or distinguish these 3 components. We aimed to develop a novel framework that captures them while providing information specific to each, based on days of antimicrobial spectrum coverage (DASC) and length of therapy (LOT).

methodsWe developed a 3-level conditional modeling framework to extract hospital-level variability, risk-adjusted for 3 components (initiation, duration, and spectrum). This was applied to data from 118 Veterans Health Administration (VHA) hospitals, with models built on 2022-2023 data and validated with 2024 data. Patient demographics, intensive care status, admitting specialty, 86 comorbidities, and 224 procedure categories were considered candidate variables for risk adjustment. Overall hospital performance was evaluated using a composite metric that integrated 3 components ("S3 [start, stop, select] Metric") and was visualized in a radar chart for each hospital.

resultsThe cohort included 727 958 unique patients with 9 363 922 days present. Hospital-level usage ranged widely (DASC per 1000 DP: 1311-5275 [interquartile range (IQR): 2738-3563]; LOT per 1000 DP: 132.2-517.6 [IQR: 301.0-367.5]). Risk-adjustment models included 116 variables for initiation, 77 for duration, and 91 for spectrum components. S3 metrics ranged from 0.703 to 1.572 (IQR: 0.906-1.086). A 3-component evaluation could provide specific information on each hospital's usage patterns.

conclusionsWe propose a DASC-LOT framework and S3 metric to assess ASP practices in initiation, duration, and spectrum separately while providing overall composite benchmarking.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipBenchmarkingDrug UtilizationAgedDuration of TherapyFemaleHospitalsHospitals, VeteransHumansInpatientsMaleMiddle AgedUnited StatesAnti-Bacterial Agentsantimicrobial stewardshipbenchmarkinginpatient antimicrobial usemathematical frameworkrisk-adjustment

Identifiers

PMID42345285
PMCPMC13644869

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.