Evidence map›Paper›PMID 29200402›Full record

ArticleInternational journal of medical education2017

Can a smartphone app improve medical trainees' knowledge of antibiotics?

Michael Fralick, Reem Haj, Dhruvin Hirpara, Karen Wong, Matthew Muller, Larissa Matukas, John Bartlett, Elizabeth Leung, Linda Taggart

Registry-linked trialAbstract read
In one paragraph

Article in International journal of medical education, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07347015 (Impact Evaluation of a Prescription Search Support), which is not on this map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–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.

NCT07347015 narecruitingnot on this mapstarted 2025, after this paper: background citation

Impact Evaluation of a Prescription Search Support (PSS) for Antimicrobials Using a Stepped-Wedge Cluster Randomized Design in Belgian Primary Care

TypeinterventionalSponsorKU LeuvenRan2025 to 2027Enrolled48ConditionsInfectious DiseasesArmsPrescription Support System (PSS)
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

9 authors.

Michael FralickDepartment of Medicine, Division of General Internal Medicine, University of Toronto, Toronto, Canada.
Reem HajDepartment of Pharmacy, St Michael's Hospital, Toronto, Canada.
Dhruvin HirparaFaculty of Medicine, University of Toronto, Toronto, Canada.
Karen WongFaculty of Medicine, University of Toronto, Toronto, Canada.
Matthew MullerDivision of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Canada.
Larissa MatukasDepartment of Laboratory Medicine and Pathobiology, University of Toronto.
John BartlettApp Developer.
Elizabeth LeungDepartment of Pharmacy, St Michael's Hospital, Toronto, Canada.
Linda TaggartDivision of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine whether a smartphone app, containing local bacterial resistance patterns (antibiogram) and treatment guidelines, improved knowledge of prescribing antimicrobials among medical trainees.

methodsWe conducted a prospective, controlled, pre-post study of medical trainees with access to a smartphone app (app group) containing our hospital's antibiogram and treatment guidelines compared to those without access (control group). Participants completed a survey which included a knowledge assessment test (score range, 0 [lowest possible score] to 12 [highest possible score]) at the start of the study and four weeks later. The primary outcome was change in mean knowledge assessment test scores between week 0 and week 4. Change in knowledge assessment test scores in the app group were compared to the difference in scores in the control group using multivariable linear regression.

resultsSixty-two residents and senior medical students participated in the study. In a multivariable analysis controlling for sex and prior knowledge, app use was associated with a 1.1 point (95% CI: 0.10, 2.1) [β = 1.08, t(1) = 2.08, p = 0.04]  higher change in knowledge score compared to the change in knowledge scores in the control group. Among those in the app group, 88% found it easy to navigate, 85% found it useful, and about one- quarter used it daily.

conclusionsAn antibiogram and treatment algorithm app increased knowledge of prescribing antimicrobials in the context of local antibiotic resistance patterns. These findings reinforce the notion that smartphone apps can be a useful and innovative means of delivering medical education.

Indexed as

Mobile ApplicationsStudents, MedicalAlgorithmsAnti-Bacterial AgentsClinical CompetenceDrug Resistance, BacterialEducational MeasurementEducation, MedicalFemaleHealth Knowledge, Attitudes, PracticeHumansInternship and ResidencyMaleMicrobial Sensitivity TestsMultivariate AnalysisPractice Guidelines as TopicAnti-Bacterial Agentsantibiogramantimicrobial stewardshipappcanadasmartphone

Identifiers

PMID29200402
PMCPMC5768437

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Registered trials

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.