Refraction Error

Astigmatism is a common cause of continued dependence on glasses after cataract surgery and may lead to patient dissatisfaction with surgical outcomes. As the corneal curvature is the main source for astigmatism after cataract surgery, our aim is to investigate whether postoperative astigmatism can be reduced by tailoring the location of surgical incisions according to the curvature of the cornea. We also wish to investigate whether this in turn reduces the need for glasses following cataract surgery. In the planned study, one group of patients with cataracts and concurrent corneal astigmatism will undergo surgery using customized incision placement, while a control group will be operated on using standard incision placement without consideration of corneal astigmatism. Astigmatism will be measured before surgery and again at 3 and 12 weeks postoperatively. We will also assess how tailored incisions affect corneal biomechanics and shape, as well as measure visual quality and the need for glasses during daily activities before and after surgery. Approximately 160,000 cataract procedures are performed annually in Sweden. Around 40% of these patients (64,000 individuals) have astigmatism greater than 1 diopter and could potentially achieve improved surgical outcomes based on the results of this study. The method is cost-effective and associated with a low risk of complications compared to other approaches for reducing astigmatism.

The global distribution of primary ophthalmic medical resources is uneven, and the traditional eye disease screening model has problems such as low efficiency, high cost and limited coverage. With the development of artificial intelligence and other technologies, it provides technical support for the construction of intelligent mobile screening model for eye diseases. The investigator's team has developed the 5G intelligent ophthalmic vehicle and served tens of thousands of people in 108 cities nationwide, initially verifying the feasibility of the new intelligent mobile screening model. However, the application effect, acceptance and influencing factors of this model in different regions are not clear, and there is a lack of economic benefit analysis based on real-world data. In this study, the investigators will conduct a cross-sectional study of large-scale population screening for blinding eye diseases in grassroots areas through the smart mobile screening model, focusing on the screening effectiveness and cost-effectiveness of the smart mobile screening model, integrating real-world multimodal eye health data, developing multiple smart screening analysis models, and exploring its adaptability and direction of improvement in grassroots areas.