Evidence map›Paper›PMID 40300151›Full record

ArticleJMIR mHealth and uHealth2025

mHealth Apps Available in Italy to Support Health Care Professionals in Antimicrobial Stewardship Implementation: Systematic Search in App Stores and Content Analysis.

Giuseppa Russo, Annachiara Petrazzuolo, Marino Trivisani, Giuseppe Virone, Elena Mazzolini, Davide Pecori, Assunta Sartor, Sergio Giuseppe Intini, Stefano Celotto, Rossana Roncato and 3 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Giuseppa RussoDepartment of Medicine, University of Udine, Via Colugna 50, Udine, 33100, Italy, 39 3492131278.ORCID 0009-0000-7001-0130
Annachiara PetrazzuoloDepartment of Medicine, University of Udine, Via Colugna 50, Udine, 33100, Italy, 39 3492131278.ORCID 0009-0003-9546-7198
Marino TrivisaniDepartment of Medicine, University of Udine, Via Colugna 50, Udine, 33100, Italy, 39 3492131278.ORCID 0009-0009-3282-7604
Giuseppe VironeDepartment of Medicine, University of Udine, Via Colugna 50, Udine, 33100, Italy, 39 3492131278.ORCID 0009-0008-5896-5231
Elena MazzoliniDepartment of Epidemiology, Experimental Zooprophylactic Institute of Venezia, Udine and Legnaro, Legnaro, Italy.ORCID 0000-0002-6171-8206
Davide PecoriInfectious Disease Unit, Friuli Centrale Healthcare University Trust, Udine, Italy.ORCID 0009-0003-7002-4788
Assunta SartorMicrobiology Unit, Friuli Centrale Healthcare University Trust, Udine, Italy.ORCID 0009-0001-1729-4557
Sergio Giuseppe IntiniGeneral Surgery Clinic and Liver Transplant Center, Friuli Centrale Healthcare University Trust, Udine, Italy.ORCID 0000-0002-6137-5143
Stefano CelottoPrimary Care Department, Friuli Centrale Healthcare University Trust, Udine, Italy.ORCID 0000-0003-3203-1664
Rossana RoncatoDepartment of Medicine, University of Udine, Via Colugna 50, Udine, 33100, Italy, 39 3492131278.ORCID 0000-0002-4219-6182
Roberto CocconiAccreditation, Quality, and Clinical Risk Unit, Friuli Centrale Healthcare University Trust, Udine, Italy.ORCID 0009-0004-5992-1223
Luca ArnoldoDepartment of Medicine, University of Udine, Via Colugna 50, Udine, 33100, Italy, 39 3492131278.ORCID 0000-0002-8068-5219
Laura BrunelliDepartment of Medicine, University of Udine, Via Colugna 50, Udine, 33100, Italy, 39 3492131278.ORCID 0000-0002-5475-0021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) is a major challenge of the 21st century. Digital technologies are now an increasingly effective means of supporting optimal health care delivery and public health. Objective: The aim of this study was to explore the apps available to support health care professionals in the fight against AMR. Methods: A total of 4 independent researchers conducted a systematic search of the App Store and Google Play Store using the following keywords: "antimicrobial resistance," "antibiotic resistance," "antimicrobial stewardship," "antibiotic stewardship," "antibiotic guide," "antibiotic therapy," and "antimicrobial therapy." The same keywords were also searched in Italian. The apps whose contents were in languages other than Italian or English, or apps which were games, or had multimedia or paid content and advertising, or apps for only specific pathologies were not considered. A set of basic information was collected for all apps found. After downloading the apps, they were evaluated using an 86-item checklist containing expert-validated criteria aggregated in the domains of pathogens and etiological agents, diagnosis and therapy support, AMR, dashboard function, antimicrobial stewardship (AMS), notes and recordings, network, and technical characteristics of the app. Results: First, 115 apps were identified: 31 apps for Android and 84 apps for iOS. By applying the exclusion criteria, 31 apps were excluded (16 for Android and 15 for iOS) for the following reasons: not available in Italian or English (6 apps), not freely available (14 apps), required registration (5 apps), and games (6 apps). The remaining 84 eligible apps (15 for Android and 69 for iOS) were downloaded, installed, and further analyzed using the same criteria, excluding 57 apps (48 for iOS and 9 for Android) for the following reasons: required further registration (16 apps), language other than Italian or English (17 apps), pathology specific (5 apps), paid content (8 apps), specific to veterinarians (4 apps), recreational apps (2 apps), referred to only scientific articles (1 app), no longer available (1 app), and not health care objectives (3 apps). The remaining 27 apps (6 for Android and 21 for iOS) were selected for in-depth analysis. Of the 27 apps that met the inclusion criteria, most apps did not fulfill the desirable aspects and only 2 of them achieved a fulfillment score of 36%. The highest scores were achieved for support for diagnosis and therapy (37%) and technical characteristics of the app (23%). Lower scores were achieved for AMS (8%), pathogens and etiological agents (4%), notes and records (3%), network (2%), AMR (1%), and dashboard function (1%). Conclusions: None of the apps examined successfully provided the desired features and functions. To better engage of prescribers in the fight against AMR, the development of an app that meets the requirements is needed.

Indexed as

Antimicrobial StewardshipHealth PersonnelMobile ApplicationsHumansItalyTelemedicineantimicrobialantimicrobial resistanceantimicrobial stewardshipappapplicationdiagnosisengagementItalymHealthmobile healthone healthprescribing behaviorssupporttherapy support

Identifiers

PMID40300151
PMCPMC12054965

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Registered trials

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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.