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印度远程医疗筛查早产儿视网膜病变扩展的影响

Impact of expansion of telemedicine screening for retinopathy of prematurity in India.

作者信息

Vinekar Anand, Mangalesh Shwetha, Jayadev Chaitra, Gilbert Clare, Dogra Mangat, Shetty Bhujang

机构信息

Departmentss of Pediatric Retina, Narayana Nethralaya Eye Institute, Bengaluru, Karnataka, India.

London School of Hygiene and Tropical Medicine, London, UK.

出版信息

Indian J Ophthalmol. 2017 May;65(5):390-395. doi: 10.4103/ijo.IJO_211_17.

Abstract

PURPOSE

The purpose of this study is to estimate the unknown burden of retinopathy of prematurity (ROP) blindness from nine states of India using demographic, incidence and treatment data from an ongoing statewide ROP program in Karnataka called the Karnataka Internet Assisted Diagnosis of ROP (KIDROP) and to calculate the fiscal quantum of preventable blindness in these states.

MATERIALS AND METHODS

The KIDROP model is an ongoing tele-ROP service providing screening and treatment for ROP in Karnataka since 2008. Using this index strategy, an impact assessment in nine other states was constructed, the number of potential blind babies enumerated, the fiscal quantum of blindness prevented in blind person-years (BPYs), and the increase in burden with improving survival and institutional deliveries calculated.

RESULTS

The total population in the ten study states is 681.5 million. The eligible babies for ROP screening annually are 467,664. The number of babies admitted to neonatal units is 188,561 of which 160,277 are likely to survive and require screening. Based on KIDROP data, ROP would develop in 35,886 of these infants, and 1281 babies would require treatment annually. The fiscal quantum of BPY saved in these ten states is USD 108.4 million annually, with a further increase of USD 106.8 million with improving infant survival and higher admission rates for delivery.

CONCLUSION

A KIDROP like model can provide ROP screening in low-resource settings, remote centers, and regions with few ROP specialists. Expanding the model to other states with similar demographics can prevent over USD 100 million of blindness burden annually.

摘要

目的

本研究旨在利用印度卡纳塔克邦一项正在进行的全州范围的早产儿视网膜病变(ROP)项目(称为卡纳塔克邦ROP互联网辅助诊断项目,KIDROP)中的人口统计学、发病率和治疗数据,估算印度九个邦未知的ROP致盲负担,并计算这些邦可预防失明的财政金额。

材料与方法

KIDROP模型是自2008年以来一直在卡纳塔克邦提供ROP筛查和治疗的远程ROP服务。利用这一指标策略,构建了对其他九个邦的影响评估,列举了潜在失明婴儿的数量,计算了以盲人年(BPY)为单位预防失明的财政金额,以及随着生存率提高和机构分娩率上升而增加的负担。

结果

十个研究邦的总人口为6.815亿。每年符合ROP筛查条件的婴儿有467,664名。入住新生儿病房的婴儿有188,561名,其中160,277名可能存活并需要筛查。根据KIDROP数据,这些婴儿中有35,886名将发生ROP,每年有1281名婴儿需要治疗。这十个邦每年节省的盲人年财政金额为1.084亿美元,随着婴儿生存率提高和分娩入院率上升,还将进一步增加1.068亿美元。

结论

类似KIDROP的模型可以在资源匮乏地区、偏远中心以及ROP专家较少的地区提供ROP筛查。将该模型扩展到其他人口统计学特征相似的邦,每年可预防超过1亿美元的失明负担。

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