Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Diabetic Retinopathy Screening in General Practice

Aalborg University · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
Open Source ↗
artificial-intelligencediabetic-retinopathygeneral-practiceprimary-caretype-2-diabetestype2-diabetes
Diabetic Retinopathy is a microvascular eye complication of diabetes, which can go unnoticed until permanent vision damage has occurred - in worst-case blindness. Timely retinopathy screenings reduce the risk of sight loss since the disease can be treated if detected in time. For people with type 2 diabetes, retinopathy screenings are typically performed by specialist at private ophthalmologists' practices, and individualized screening intervals based on retinopathy level and diabetes regulation are recommended. Unfortunately, 26% of people with type 2 diabetes do not follow their screening interval, and the attendance is too low compared to the national standard of minimum 90% of patients with diabetes who ought to follow the screening program. Consequently, actions must be taken to improve screening attendance in Denmark. The aim of this study is to investigate patients' acceptance of diabetic retinopathy screenings in general practice. Patients' acceptance is explored through a questionnaire developed for the study.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1213879
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive