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全州范围内远程医疗糖尿病视网膜病变筛查网络在联邦指定的安全网诊所的实施和维持。

Implementation and sustainment of a statewide telemedicine diabetic retinopathy screening network for federally designated safety-net clinics.

机构信息

Department of Ophthalmology and Visual Sciences, University of Kentucky College of Medicine, Lexington, Kentucky, United States of America.

Department of Biostatistics, University of Kentucky College of Public Health, Lexington, Kentucky, United States of America.

出版信息

PLoS One. 2020 Nov 4;15(11):e0241767. doi: 10.1371/journal.pone.0241767. eCollection 2020.

Abstract

CONTEXT

Diabetic retinopathy (DR) is the leading cause of incident blindness among working-age adults in the United States. Federally designated safety-net clinics (FDSC) often serve as point-of-contact for patients least likely to receive recommended DR screenings, creating opportunity for targeted interventions to increase screening access and compliance.

STUDY DESIGN AND METHODS

With such a goal, we implemented and assessed the longitudinal performance of an FDSC-based telemedicine DR screening (TDRS) network of 22 clinical sites providing nonmydriatic fundus photography with remote interpretation and reporting. Retrospective analysis of patient encounters between February 2014 and January 2019 was performed to assess rates of pathology and referral. A generalized estimating equation logistic regression model was used for subset analysis from audits of pre- and post-implementation screening rates. Finally, patient surveys were conducted and assessed as a measure of intervention acceptability.

RESULTS

Of the 13,923 individual telescreening encounters (4327 female, 4220 male, and 5376 unspecified; mean [SD] age, 54.9 [12.5] years) studied, 10,540 were of adequate quality to identify 3532 (33.5%) patients with ocular pathology: 2319 (22.0%) patients had some level of DR with 1604 (15.2%) requiring specialist referral, and 808 (7.7%) patients required referral for other ocular pathologies. The mean screening rate for audited clinics in the year prior to program implementation was 29.9% (641/2147), which increased to 47.7% (1012/2124) in the program's first year, doubling patients' odds of being screened (OR 2.2; 95% CI: 1.3-3.7; P = .003). These gains were sustained over four years following implementation (OR 1.9; 95% CI: 1.1-3.1; P = .018) despite varied clinic screening performance (4-year averaged range, 22.9-55.1%). Odds of early detection likewise doubled for patients with consecutive screenings (OR 2.2, 95% CI: 2.0-2.4; P < .001). Finally, surveyed patients preferred TDRS to specialist exams (82.5%; 776/941) and would recommend the service to friends (92.7%; 868/936).

CONCLUSION AND RELEVANCE

A statewide, FDSC-centered TDRS network was successfully established and sustained in a medically underserved region of the United States. Our results suggest that large TDRS networks in FDSCs can increase screening access and compliance for otherwise unscreened populations, but outcomes can vary greatly among clinics. Further work to optimize program implementation is needed to maximize this model's impact.

摘要

背景

糖尿病视网膜病变(DR)是美国工作年龄成年人致盲的主要原因。联邦指定的安全网诊所(FDSC)通常是最不可能接受推荐的 DR 筛查的患者的接触点,这为增加筛查机会和提高依从性提供了有针对性的干预机会。

研究设计和方法

为了实现这一目标,我们实施并评估了基于 FDSC 的远程医疗 DR 筛查(TDRS)网络的纵向性能,该网络由 22 个临床站点组成,提供非散瞳眼底摄影,并进行远程解释和报告。对 2014 年 2 月至 2019 年 1 月期间的患者就诊情况进行回顾性分析,以评估病理和转诊率。使用广义估计方程逻辑回归模型对实施前后筛查率的审计进行亚组分析。最后,进行了患者调查,并将其作为干预可接受性的衡量标准。

结果

在研究的 13923 例单独的远程筛查中(4327 例女性、4220 例男性和 5376 例未指定;平均[SD]年龄 54.9[12.5]岁),有 10540 例的质量足以识别 3532 例(33.5%)有眼部病变的患者:2319 例(22.0%)患者有不同程度的 DR,其中 1604 例(15.2%)需要专家转诊,808 例(7.7%)患者需要转诊其他眼部疾病。在项目实施前一年接受审计的诊所的平均筛查率为 29.9%(641/2147),在项目的第一年增加到 47.7%(1012/2124),患者接受筛查的可能性增加了两倍(OR 2.2;95%CI:1.3-3.7;P =.003)。尽管诊所的筛查表现各不相同(4 年平均范围为 22.9-55.1%),但在实施后四年内仍保持了这些收益(OR 1.9;95%CI:1.1-3.1;P =.018)。对于连续接受筛查的患者,早期检测的可能性也增加了两倍(OR 2.2,95%CI:2.0-2.4;P <.001)。最后,接受调查的患者更喜欢 TDRS 而不是专科检查(82.5%;776/941),并愿意将这项服务推荐给朋友(92.7%;868/936)。

结论和相关性

在美国医疗服务不足的地区,一个以 FDSC 为中心的全州范围的 TDRS 网络已经成功建立并维持。我们的研究结果表明,FDSC 中的大型 TDRS 网络可以增加未经筛查人群的筛查机会和依从性,但不同诊所的结果可能存在很大差异。需要进一步努力优化项目实施,以最大限度地发挥这一模式的影响。

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