Evidence map›Paper›PMID 37155668›Full record

ArticleEuropean heart journal. Digital health2021

Quick response code applications in medical and cardiology settings: a systematic scoping review.

Andrea Faggiano, Francesco Fioretti, Savina Nodari, Stefano Carugo

Erratum issuedAbstract readScoping Review
In one paragraph

Article in European heart journal. Digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Andrea FaggianoFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Cardiovascular Disease Unit, Internal Medicine Department, University of Milan, Via Francesco Sforza 25, 20122, Milan, Italy.ORCID https://orcid.org/0000-0002-3247-3203
Francesco FiorettiDepartment of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Institute of Cardiology, University of Brescia, Brescia, Italy.
Savina NodariDepartment of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Institute of Cardiology, University of Brescia, Brescia, Italy.
Stefano CarugoFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Cardiovascular Disease Unit, Internal Medicine Department, University of Milan, Via Francesco Sforza 25, 20122, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To review published literature on the use of quick response (QR) codes within medical and cardiology settings. Methods and Results: Medline, Scopus Search, and Cochrane Library were used to conduct the research. Title and abstract review of 376 publications were performed. Papers that discussed the application of QR codes in medical setting were included. A total of 151 articles were reviewed and thematic analysis conducted to understand how QR codes are currently used in the medical setting, the medical areas in which they are mostly used, their applications in the cardiovascular area. The analysis of 151 articles revealed that QR code technology is mainly used in the medical field to: (i) collect data via survey, (ii) educate medical staff or students, and (iii) provide information about therapies or surgery. The medical area in which QR codes are most used is the clinical one, but only 3.3% of publications concern cardiovascular settings. A third of the QR code-related articles of 2020 is about Covid-19. Conclusions: Different uses of QR codes in a medical setting are increasing. Quick response codes might represent an easy and convenient digital tool to collect data and implement telemedicine programs on a large scale involving also the cardiovascular setting.

Indexed as

COVID-19QR codeScoping reviewSurveyTelemedicine

Identifiers

PMID37155668
PMCPMC8083315

What OpenQuestion holds

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Registered trials

None linked

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.