Evidence map›Paper›PMID 42398955›Full record

ArticleApplied clinical informatics2026

Optimizing Clinical Decision Support for Antibiotic Prescribing in Pediatric Acute Respiratory Tract Infections: A Usability Study.

Janet Lee, Dina Abdel-Rahman, Emma Kelly, Praveena Korakuti, Erin Tagai

Abstract read
In one paragraph

Article in Applied clinical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Janet LeeLewis Katz School of Medicine, Temple University, Pennsylvania, United States, Philadelphia.ORCID 0000-0001-9176-6930
Dina Abdel-RahmanLewis Katz School of Medicine, Temple University, Pennsylvania, United States, Philadelphia.
Emma KellyLewis Katz School of Medicine, Temple University, Pennsylvania, United States, Philadelphia.
Praveena KorakutiLewis Katz School of Medicine, Temple University, Pennsylvania, United States, Philadelphia.
Erin TagaiFox Chase Cancer Center, Department of Cancer Prevention and Control, Pennsylvania, United States, Philadelphia.

Funding

Patient-Centered Outcomes Research Institute HSII_Temple_IMP-PS2
6 · The paper itself

Abstract

Background: Inappropriate antibiotic prescribing contributes to antimicrobial resistance. Antimicrobial stewardship (AMS) programs increasingly rely on electronic health record (EHR)-based clinical decision support (CDS) alerts to guide evidence-based care, yet poorly designed alerts can increase cognitive burden and contribute to burnout. Usability testing offers a structured approach to improving alert design and adoption. Objectives: This study aimed to evaluate and iteratively refine interruptive CDS alerts developed to support appropriate antibiotic prescribing for pediatric acute respiratory tract infections (ARTIs) within an urban academic health system as part of a larger implementation project. Methods: Twelve providers participated in four waves of virtual usability testing using scripted clinical scenarios reflecting common workflows. Participants interacted with three clinical alerts and one design-focused scenario. Quantitative outcomes included task effectiveness, efficiency, satisfaction, and perceived difficulty. Qualitative feedback was gathered via think-aloud techniques and synthesized using a "rainbow spreadsheet." Iterative modifications were implemented between waves until thematic saturation was achieved. Results: Task completion across scenarios was high (83.3%). Effectiveness and efficiency improved over waves, and satisfaction increased when alerts embedded actionable tasks such as ordering tests, adding diagnoses, or switching antibiotics. Participants emphasized the importance of clear, concise text and intuitive defaults. Including links to evidence-based guidelines improved trust. Alert refinements reduced cognitive load and improved workflow alignment. Conclusion: Rapid, iterative usability testing substantially improved the clarity and workflow integration of interruptive CDS alerts. Incorporating usability evaluation into CDS stewardship efforts can enhance adoption, reduce alert fatigue, and strengthen implementation of evidence-based practices.

Indexed as

Anti-Bacterial AgentsDecision Support Systems, ClinicalDrug PrescriptionsRespiratory Tract InfectionsAcute DiseaseChildHumansAnti-Bacterial Agents

Identifiers

PMID42398955
PMCPMC13391217

What OpenQuestion holds

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LicenceCC BY
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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.