Evidence map›Paper›PMID 41035565›Full record

ArticleFrontiers in digital health2025

Impact of integrating guidelines into an antimicrobial stewardship smartphone application on outpatient antibiotic prescribing: a segmented interrupted time series analysis.

Ahmed A Sadeq, Laila Z Alhaj Ali, Jinan M Shamseddine, Barbara R Conway, Stuart E Bond, Rizwan Ali, William J Lattyak, Zahir Osman Eltahir Babiker, Mamoon A Aldeyab

Abstract read
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Article in Frontiers in digital health, 2025. 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ahmed A SadeqDepartment of Pharmacy, Shaikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
Laila Z Alhaj AliDepartment of Pharmacy, Shaikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
Jinan M ShamseddineDepartment of Pharmacy, Shaikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
Barbara R ConwayDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, United Kingdom.
Stuart E BondDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, United Kingdom.
Rizwan AliDepartment of Pharmacy, Shaikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
William J LattyakStatistical Consulting Department, Scientific Computing Associates Corp, River Forest, IL, United States.
Zahir Osman Eltahir BabikerTropical and Infectious Diseases Division, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
Mamoon A AldeyabDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Antimicrobial stewardship (AMS) smartphone applications (apps) have been adopted to promote better antimicrobial prescribing practices. We aimed to evaluate the impact of incorporating an app on AMS metrics and adherence to a local antimicrobial guideline in an outpatient setting. Methods: A quasi-experimental, segmented interrupted time series design was used, involving three study phases (pre-intervention: 1st January 2020 to 31st December 2021; implementation: 1st January 2022 to 31st December 2022, and post-intervention: 1st January 2023 to 30th June 2024) in a hospital outpatient setting. The effect of introducing an AMS app incorporating local antimicrobial guidelines on AMS outcomes was measured. Results: A total of 24,424 patients were identified. As per the most simple model, the amounts of the following antibiotics, expressed as defined daily dose (DDD) per 100 patient visits, increased significantly during the post-intervention phase: azithromycin (co-efficient 0.297, Conclusion: The app improved the utilization of antibiotic prescribing by increasing adherence to local antimicrobial guidelines, affirming its utility in augmenting AMS in outpatient settings.

Indexed as

antibiotic prescribingantimicrobial stewardship (AMS)guidelinesinterrupted time series analysissmartphone application (App)

Identifiers

PMID41035565
PMCPMC12482918

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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.