Transition from an in-person to a telemedicine diabetic retinopathy screening program.


Journal

Arquivos brasileiros de oftalmologia
ISSN: 1678-2925
Titre abrégé: Arq Bras Oftalmol
Pays: Brazil
ID NLM: 0400645

Informations de publication

Date de publication:
2024
Historique:
received: 03 07 2023
accepted: 16 09 2023
medline: 24 4 2024
pubmed: 24 4 2024
entrez: 24 4 2024
Statut: epublish

Résumé

Timely screening and treatment are essential for preventing diabetic retinopathy blindness. Improving screening workflows can reduce waiting times for specialist evaluation and thus enhance patient outcomes. This study assessed different screening approaches in a Brazilian public healthcare setting. This retrospective study evaluated a telemedicine-based diabetic retinopathy screening implemented during the COVID-19 pandemic and compared it with in-person strategies. The evaluation was conducted from the perspective of a specialized referral center in an urban area of Central-West Brazil. In the telemedicine approach, a trained technician would capture retinal images by using a handheld camera. These images were sent to specialists for remote evaluation. Patient variables, including age, gender, duration of diabetes diagnosis, diabetes treatment, comorbidities, and waiting time, were analyzed and compared. In total, 437 patients with diabetes mellitus were included in the study (mean age: 62.5 ± 11.0 years, female: 61.7%, mean diabetes duration: 15.3 ± 9.7 years, insulin users: 67.8%). In the in-person assessment group, the average waiting time between primary care referral and specialist evaluation was 292.3 ± 213.9 days, and the referral rate was 73.29%. In the telemedicine group, the average waiting time was 158.8 ± 192.4 days, and the referral rate was 29.38%. The telemedicine approach significantly reduced the waiting time (p<0.001) and significantly lowered the referral rate (p<0.001). The telemedicine approach significantly reduced the waiting time for specialist evaluation in a real-world setting. Employing portable retinal cameras may address the burden of diabetic retinopathy, especially in resource-limited settings.

Identifiants

pubmed: 38656030
pii: S0004-27492024000400319
doi: 10.5935/0004-2749.2023-0200
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2023

Auteurs

Vanessa de O Almeida Barbieri (VOA)

Retina and Vitreous Sector, Hospital São Julião, Campo Grande, MS, Brazil.

Luis Filipe Nakayama (LF)

Department of Ophthalmology, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States of America.

Gabriel Almeida Barbieri (GA)

Universidade Federal de São Paulo, São Paulo, SP, Brazil.

Suzane Eberhart Ribeiro da Silva (SERD)

Retina and Vitreous Sector, Hospital São Julião, Campo Grande, MS, Brazil.

Daniel Cunha José Karmouche (DCJ)

Retina and Vitreous Sector, Hospital São Julião, Campo Grande, MS, Brazil.

Marcelle Naomi Oshiro Shinzato (MNO)

Retina and Vitreous Sector, Hospital São Julião, Campo Grande, MS, Brazil.

Rodrigo Eiji Nakagawa (RE)

Retina and Vitreous Sector, Hospital São Julião, Campo Grande, MS, Brazil.

Caio Vinicius Regatieri (CV)

Department of Ophthalmology, Universidade Federal de São Paulo, São Paulo, SP, Brazil.

Fernando Korn Malerbi (FK)

Department of Ophthalmology, Universidade Federal de São Paulo, São Paulo, SP, Brazil.

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Classifications MeSH