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与爱尔兰国家糖尿病视网膜病变筛查计划(INDEAR 研究报告第 2 号)中未就诊相关的因素。

Factors associated with non-attendance in the Irish national diabetic retinopathy screening programme (INDEAR study report no. 2).

机构信息

Mater Retina Research Group, Mater Misericordiae University Hospital, Dublin, Ireland.

Department of Ophthalmology, University Medical Centre Groningen, Groningen, Netherlands.

出版信息

Acta Diabetol. 2021 May;58(5):643-650. doi: 10.1007/s00592-021-01671-4. Epub 2021 Jan 23.

Abstract

AIMS

We aimed to determine the patient and screening-level factors that are associated with non-attendance in the Irish National Diabetic Retinal screening programme (Diabetic RetinaScreen). To accomplish this, we modelled a selection of predictors derived from the historical screening records of patients with diabetes.

METHODS

In this cohort study, appointment data from the national diabetic retinopathy screening programme (RetinaScreen) were extracted and augmented using publicly available meteorological and geospatial data. A total of 653,969 appointments from 158,655 patients were included for analysis. Mixed-effects models (univariable and multivariable) were used to estimate the influence of several variables on non-attendance to screening appointments.

RESULTS

All variables considered for analysis were statistically significant. Variables of note, with meaningful effect, were age (OR: 1.23 per decade away from 70; 95% CI: [1.22-1.24]), type 2 diabetes (OR: 1.10; 95% CI: [1.06-1.14]) and socio-economic deprivation (OR: 1.12; 95% CI: [1.09-1.16]). A majority (52%) of missed appointments were from patients who had missed three or more appointments.

CONCLUSIONS

This study is the first to outline factors that are associated with non-attendance within the Irish national diabetic retinopathy screening service. In particular, when corrected for age and other factors, patients with type 2 diabetes had higher rates of non-attendance. Additionally, this is the first study of any diabetic screening programme to demonstrate that weather may influence attendance. This research provides unique insight to guide the implementation of an optimal and cost-effective intervention strategy to improve attendance.

摘要

目的

我们旨在确定与爱尔兰国家糖尿病视网膜病变筛查计划(糖尿病视网膜筛查)中患者和筛查水平相关的非就诊因素。为此,我们对来自糖尿病患者历史筛查记录的一组预测因素进行了建模。

方法

在这项队列研究中,从国家糖尿病视网膜病变筛查计划(RetinaScreen)中提取了预约数据,并使用公共气象和地理空间数据进行了扩充。共纳入了 158655 名患者的 653969 次预约进行分析。使用混合效应模型(单变量和多变量)来估计几个变量对非筛查预约的影响。

结果

所有考虑进行分析的变量均具有统计学意义。具有重要意义的变量包括年龄(每远离 70 岁增加 1.23;95%CI:[1.22-1.24])、2 型糖尿病(OR:1.10;95%CI:[1.06-1.14])和社会经济剥夺(OR:1.12;95%CI:[1.09-1.16])。大多数(52%)错过的预约是来自已经错过三次或更多预约的患者。

结论

这项研究首次概述了与爱尔兰国家糖尿病视网膜病变筛查服务中不就诊相关的因素。特别是,在纠正了年龄和其他因素后,2 型糖尿病患者的不就诊率更高。此外,这是第一项研究任何糖尿病筛查计划的研究,表明天气可能会影响出勤率。这项研究提供了独特的见解,以指导实施最佳和具有成本效益的干预策略,以提高出勤率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0334/8076137/e9783e44b3e9/592_2021_1671_Fig1_HTML.jpg

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