Introduction
Antibiotic stewardship (ASP) programs in hospital settings are generally oriented toward the inpatient environment. Reference Feller, Lund and Perencevich1 However, antibiotic overuse is common at hospital discharge. Reference Chavada, Davey and O’Connor2,Reference Scarpato, Timko and Cluzet3 ASP metrics that capture antibiotic-prescribing at discharge can identify opportunities to optimize prescribing. Reference Daniels and Weber4 We conducted a qualitative analysis of clinician perceptions of a novel risk-adjusted metric that compares the frequency and duration of oral antibiotics prescribed at discharge at Veterans Health Administration (VHA) hospitals. Details on metric development, validation, and included variables were previously published. Reference Livorsi, Merchant and Cho5 This analysis is a subset of a study evaluating optimization of antibiotic prescribing at discharge.
Methods
Data collection
Among 66 VHA hospitals classified as high-complexity by the VHA’s Healthcare Analysis and Information Group, we recruited 11 drawn from three performance quadrants of the metric. The fourth quadrant, representing more frequent, shorter duration prescriptions, was not included because it comprised largely lower-complexity hospitals. Each facility’s ASP pharmacist was invited to an informational call, which included a brief interview about their facility’s stewardship processes. If the site decided to participate, our team collaborated with each facility’s ASP team to decide if an in-person or virtual site visit was a better fit for conducting interviews. The ASP teams provided contact information for clinicians involved with prescribing and/or monitoring antibiotic use at discharge. Clinicians were recruited by email and were typically scheduled for interviews with two qualitative team members. From July 2024 to June 2025, we conducted interviews with ASP physicians, ASP pharmacists, clinical pharmacists, hospitalists and other providers, and laboratory staff. The study was approved by the University of Iowa Institutional Review Board (#202311339) and the Research and Development Committee at the Iowa City VA.
The interview guide was designed to evaluate understanding and perceptions of the usefulness, acceptability, and validity of the metric. During the interview, each participant was shown a graph of their facility’s performance on the metric compared with the performance of the anonymized population of all other VHA facilities (Figure 1). Each participant was also given a brief description of the metric data and its development. The qualitative team (SHS, KCD, NLJ, BLA) conducted and recorded in-person or MS Teams interviews with participant consent. Interviews averaged about 30 minutes. Interviews were transcribed and we imported audited transcripts into qualitative analysis software, MAXQDA (VERBI Software, 2026).
Descriptive graphic showing the risk-adjusted comparison of post-discharge oral antibiotic-prescribing frequency and duration, including Group specifications and description of the metric data and its development, as provided in interviews.

Data analysis
Each interview transcript was coded by team members who met to determine consensus. The team used both deductive coding based on the interview guide and emergent inductive thematic coding. Reference Terry, Hayfield and Clarke6
Results
Of 11 invited sites, 9 geographically distributed sites participated and were categorized by postdischarge antibiotic prescribing frequency and duration: Group 1 (less frequent, shorter duration), 3 sites; Group 3 (less frequent, longer duration), 4 sites; and Group 4 (more frequent, longer duration), 2 sites. We conducted 91 semi-structured interviews across 3 in-person (n = 25) and 6 virtual (n = 66) site visits.
Response to metric
Clinicians across performance groups were receptive to the metric and consistently identified modifications they viewed as necessary for its effective use as a stewardship measure. Table 1 provides exemplar quotes illustrating selected themes.
Exemplar quotes for selected themes; lightly edited for readability

Table 1. Long description
The table has four columns: Face validity, Stewardship utility, Potential for stewardship usefulness, and Additional needed data. It contains quotes from clinicians across different sites, categorized under these themes. Each row presents a unique quote, lightly edited for readability, reflecting the clinicians’ perspectives on the utility and necessary modifications of antibiotic stewardship metrics. The table includes quotes from various sites such as Pharmacist Site B, Physician Site F, and ASP Pharmacist Site A, highlighting the importance of feedback, the challenges in aligning practice with guidelines, and the need for additional data to improve stewardship efforts.
Reaction to performance on the metric
Clinicians often proposed a potential explanation for why their facility was in a specific performance group. Those in Group 1, which prescribed postdischarge antibiotics less often and for shorter durations, frequently credited their metric performance to strong ASP programs and institutional stewardship culture. In contrast, those in Groups 3 and 4, which prescribed postdischarge antibiotics for longer durations, more often reflected on patient complexity or specific clinical services that were likely overusing antibiotics.
Face validity
The majority of clinicians across performance groups found that the metric made sense and conveyed results clearly. Clinicians generally agreed that benchmarking discharge antibiotic prescribing against peer VHA facilities was a reasonable and informative approach. Some noted the value of being part of an integrated national healthcare system, which facilitates meaningful comparisons.
Stewardship utility
Clinicians expressed that the metric could support stewardship practices by reinforcing appropriate prescribing and identifying areas for improvement. However, many emphasized that the metric alone was insufficient to drive targeted interventions. Clinicians highlighted that they needed additional granular data to inform effective interventions, including service-specific prescribing, which infections are being overtreated, and how close their hospital was to categorization in a different performance group. Across performance groups, clinicians requested more information about how the metric accounted for differences in patient case-mix. Clinicians indicated that access to details about the methodology would be important for building confidence in the metric and supporting its acceptance as a stewardship measure.
Fairness and potential for punitive use
Perceptions of fairness varied across performance groups and clinician roles. Although many clinicians acknowledged the value of comparative benchmarking, some voiced concerns about how the metric might be applied in practice. A central concern was that comparative prescribing data could be misinterpreted as evidence of inappropriate care without sufficient consideration of clinical context or patient outcomes. Some were concerned about the possibility of the metric being used punitively or as a standalone quality measure without considering whether prescribing patterns aligned with appropriate antibiotic prescribing.
Discussion
In this study, we found that clinicians considered a novel metric for comparing antibiotic prescribing at hospital discharge to be clear and clinically meaningful, suggesting that it may help hospitals identify opportunities for improved antibiotic stewardship at discharge. However, clinicians emphasized the need to be provided with granular data (eg, prescribing service) for the metric to be utilized. Clinicians also raised concerns about fairness and potential punitive use.
Discharge prescribing remains understudied compared to inpatient stewardship, despite evidence of frequent antibiotic overuse at discharge. Reference Feller, Lund and Perencevich1–Reference Daniels and Weber4 Standard metrics for hospital-based ASP programs do not capture data on postdischarge antibiotic use, though prior work highlights the potential usefulness of a postdischarge antibiotic use metric. For example, an evaluation of a national inpatient stewardship initiative found that benchmarking was identified as an effective strategy because it provided performance context, motivated staff to improve, and guided targeted interventions; importantly, ongoing communication and education were needed to sustain engagement. Reference Cosgrove, Ahn, Dullabh and Gordon7 Previous qualitative work within the VHA found that ASP leaders valued standardized, risk-adjusted benchmarking metrics for inpatient antimicrobial consumption but had concerns about the ability of risk adjustments to account for facility differences. Reference Jones, Marra and Livorsi8 Consistent with prior work, Reference Pinkerton, Bongu and James9 clinicians in our project emphasized that benchmarking would be most effective when framed as a quality improvement strategy rather than punitive or invasive. Addressing these concerns and clearly framing the metric as a tool for quality improvement will be essential for its successful implementation.
In practice, the ASP team could use their facility’s metric performance to determine whether further assessments of discharge antibiotics are warranted and whether additional stewardship strategies focused on discharge are needed. In a prior study across 7 hospitals, less antibiotic overuse at discharge was associated with high-quality pharmacist-physician interactions, infrastructure and knowledge to support stewardship, and highly engaged Infectious Disease physicians. Reference Vaughn, Krein and Hersh10
Our study has limitations. Findings may not be generalizable beyond the VHA context. Although we interviewed personnel from only 9 sites, the 91 interviews included perspectives from both those leading stewardship efforts and those expected to adhere to them. A strength of the project is that there is little data on how hospital-level postdischarge stewardship metrics are perceived by end-users, making our findings an important contribution for future metric development and implementation efforts.
Acknowledgements
The views expressed in this presentation are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the United States government.
Author contributions
(Listed by CRedit Taxonomy) Conceptualization – DJL; Formal Analysis – SHS, BLA, NLJ, KCD; Funding Acquisition – DJL; Investigation – SHS, BLA, NLJ, KCD; Methodology – DJL, KCD; Project Administration – SHS; Supervision – DJL, KCD, SHS; Visualization – SHS, BLA, DJL; Writing – Original Draft – SHS, BLA; Writing – Review and Editing – SHS, BLA, NLJ, KCD, DJL.
Financial support
This work was supported by an investigator-initiated research grant from the VA Health Services Research and Development Service (I01 HX003325; Principal Investigator: DJL).
Competing interests
No authors report a conflict of interest with this study.
Research transparency and reproducibility
Data not publicly available.
