Evidence map›Paper›PMID 34506578›Full record

ArticlePloS one2021

Enabling teleophthalmology during the COVID-19 pandemic in the Province of Trento, Italy: Design and implementation of a mHealth solution.

Giulia Malfatti, Elisabetta Racano, Roberta Delle Site, Lorenzo Gios, Stefano Micocci, Marco Dianti, Pietro Benedetto Molini, Francesca Allegrini, Mariangela Ravagni, Monica Moz and 2 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Digital Transformation in Healthcare: Technology Acceptance and Its Applications.International journal of environmental research and public health · 2023
    Article
  3. Review
  4. Article
  5. Article
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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

12 authors.

Giulia MalfattiTrentinoSalute4.0, Competence Center for Digital Health of the Province of Trento, Trento, Italy.ORCID 0000-0002-9655-5064
Elisabetta RacanoAzienda Provinciale per i Servizi Sanitari, U.O. di Oculistica, Ospedale di Rovereto, Trento, Italy.
Roberta Delle SiteAzienda Provinciale per i Servizi Sanitari, U.O. di Oculistica, Ospedale di Rovereto, Trento, Italy.
Lorenzo GiosTrentinoSalute4.0, Competence Center for Digital Health of the Province of Trento, Trento, Italy.
Stefano MicocciFondazione Bruno Kessler, Digital Health Lab, Povo, Italy.
Marco DiantiFondazione Bruno Kessler, Digital Health Lab, Povo, Italy.ORCID 0000-0002-1404-1423
Pietro Benedetto MoliniFondazione Bruno Kessler, Digital Health Lab, Povo, Italy.ORCID 0000-0002-8165-8087
Francesca AllegriniAzienda Provinciale per i Servizi Sanitari, U.O. di Oculistica, Ospedale di Rovereto, Trento, Italy.
Mariangela RavagniAzienda Provinciale per i Servizi Sanitari, U.O. di Oculistica, Ospedale di Rovereto, Trento, Italy.
Monica MozTrentinoSalute4.0, Competence Center for Digital Health of the Province of Trento, Trento, Italy.ORCID 0000-0002-4612-8160
Andrea NicoliniTrentinoSalute4.0, Competence Center for Digital Health of the Province of Trento, Trento, Italy.
Federica RomanelliAzienda Provinciale per i Servizi Sanitari, U.O. di Oculistica, Ospedale di Rovereto, Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the many restrictions imposed during the COVID-19 emergency, the normal clinical activities have been stopped abruptly in view of limiting the circulation of the virus. The extraordinary containment measures have had a dramatic impact on the undertaking and follow-up of ophthalmic outpatients.

objectiveIn order to guarantee proper monitoring and routine care, the Pediatric Ophthalmology equipe of Rovereto Hospital (North-East of Italy) supported by the Competence Center on Digital Health TrentinoSalute4.0, designed and implemented a digital platform, TreC Oculistica, enabling teleophthalmology. We report our innovative-albeit restricted-experience aiming at testing and maximizing the efficacy of remote ophthalmic and orthoptic visits.

methodsA multidisciplinary team created the TreC Oculistica platform and defined a teleophthalmology protocol. The system consists of a clinician web interface and a patient mobile application. Clinicians can prescribe outpatients with the App and some preliminary measurements to be self-collected before the televisit. The App conveys the clinician's requests (i.e. measurements) and eases the share of the collected information in a secure digital environment, promoting a new health care workflow.

resultsFour clinicians took part in the testing phase (2 ophthalmologists and 2 orthoptists) and recruited 37 patients (mostly pediatric) in 3 months. Thanks to a continuous feedback between the testing and the technical implementation, it has been possible to identify pros and cons of the implemented functionalities, considering possible improvements. Digital solutions such as TreC Oculistica advance the digitalization of the Italian health care system, promoting a structured and effective reorganization of the workload supported by digital systems.

conclusionsThe study tested an innovative digital solution in the teleophthalmology context and represented the first experience within the Italian healthcare system. This solution opens up new possibilities and scenarios that can be effective not only during the pandemic, but also in the traditional management of public health services.

Indexed as

Mobile ApplicationsPandemicsAdolescentAdultChildChild, PreschoolCOVID-19Delivery of Health CareFemaleHumansItalyMaleOphthalmologyTelemedicineYoung Adult

Identifiers

PMID34506578
PMCPMC8432860

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.