A 15 month experience with a primary care-based telemedicine screening program for diabetic retinopathy.


Journal

BMC ophthalmology
ISSN: 1471-2415
Titre abrégé: BMC Ophthalmol
Pays: England
ID NLM: 100967802

Informations de publication

Date de publication:
04 Feb 2021
Historique:
received: 17 05 2020
accepted: 21 01 2021
entrez: 5 2 2021
pubmed: 6 2 2021
medline: 15 5 2021
Statut: epublish

Résumé

Using telemedicine for diabetic retinal screening is becoming popular especially amongst at-risk urban communities with poor access to care. The goal of the diabetic telemedicine project at Temple University Hospital is to improve cost-effective access to appropriate retinal care to those in need of close monitoring and/or treatment. This will be a retrospective review of 15 months of data from March 2016 to May 2017. We will investigate how many patients were screened, how interpretable the photographs were, how often the photographs generated a diagnosis of diabetic retinopathy (DR) based on the screening photo, and how many patients followed-up for an exam in the office, if indicated. Six-hundred eighty-nine (689) digital retinal screening exams on 1377 eyes of diabetic patients were conducted in Temple's primary care clinic. The majority of the photographs were read to have no retinopathy (755, 54.8%). Among all of the screening exams, 357 (51.8%) triggered a request for a referral to ophthalmology. Four-hundred forty-nine (449, 32.6%) of the photos were felt to be uninterpretable by the clinician. Referrals were meant to be requested for DR found in one or both eyes, inability to assess presence of retinopathy in one or both eyes, or for suspicion of a different ophthalmic diagnosis. Sixty-seven patients (9.7%) were suspected to have another ophthalmic condition based on other findings in the retinal photographs. Among the 34 patients that were successfully completed a referral visit to Temple ophthalmology, there was good concordance between the level of DR detected by their screening fundus photographs and visit diagnosis. Although a little more than half of the patients did not have diabetic eye disease, about half needed a referral to ophthalmology. However, only 9.5% of the referral-warranted exams actually received an eye exam. Mere identification of referral-warranted diabetic retinopathy and other ophthalmic conditions is not enough. A successful telemedicine screening program must close the communication gap between screening and diagnosis by reviewer to provide timely follow-up by eye care specialists.

Sections du résumé

BACKGROUND BACKGROUND
Using telemedicine for diabetic retinal screening is becoming popular especially amongst at-risk urban communities with poor access to care. The goal of the diabetic telemedicine project at Temple University Hospital is to improve cost-effective access to appropriate retinal care to those in need of close monitoring and/or treatment.
METHODS METHODS
This will be a retrospective review of 15 months of data from March 2016 to May 2017. We will investigate how many patients were screened, how interpretable the photographs were, how often the photographs generated a diagnosis of diabetic retinopathy (DR) based on the screening photo, and how many patients followed-up for an exam in the office, if indicated.
RESULTS RESULTS
Six-hundred eighty-nine (689) digital retinal screening exams on 1377 eyes of diabetic patients were conducted in Temple's primary care clinic. The majority of the photographs were read to have no retinopathy (755, 54.8%). Among all of the screening exams, 357 (51.8%) triggered a request for a referral to ophthalmology. Four-hundred forty-nine (449, 32.6%) of the photos were felt to be uninterpretable by the clinician. Referrals were meant to be requested for DR found in one or both eyes, inability to assess presence of retinopathy in one or both eyes, or for suspicion of a different ophthalmic diagnosis. Sixty-seven patients (9.7%) were suspected to have another ophthalmic condition based on other findings in the retinal photographs. Among the 34 patients that were successfully completed a referral visit to Temple ophthalmology, there was good concordance between the level of DR detected by their screening fundus photographs and visit diagnosis.
CONCLUSIONS CONCLUSIONS
Although a little more than half of the patients did not have diabetic eye disease, about half needed a referral to ophthalmology. However, only 9.5% of the referral-warranted exams actually received an eye exam. Mere identification of referral-warranted diabetic retinopathy and other ophthalmic conditions is not enough. A successful telemedicine screening program must close the communication gap between screening and diagnosis by reviewer to provide timely follow-up by eye care specialists.

Identifiants

pubmed: 33541295
doi: 10.1186/s12886-021-01828-3
pii: 10.1186/s12886-021-01828-3
pmc: PMC7859899
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

70

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Auteurs

James E Benjamin (JE)

Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Justin Sun (J)

Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Devin Cohen (D)

Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Joseph Matz (J)

Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Angela Barbera (A)

Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Jeffrey Henderer (J)

Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Lorrie Cheng (L)

Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Julia Grachevskaya (J)

Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Rajnikant Shah (R)

Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.

Yi Zhang (Y)

Department of Ophthalmology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA. Yi.Zhang2@tuhs.temple.edu.

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Classifications MeSH