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基于决策支持辅助工具的可视化宫颈癌筛查项目实时监测与评估。

Real-Time Monitoring and Evaluation of a Visual-Based Cervical Cancer Screening Program Using a Decision Support Job Aid.

机构信息

MobileODT, Ltd., Tel Aviv 67107, Israel.

Department of Family Medicine and Community Health, University of Pennsylvania Health System, Philadelphia, PA 19104, USA.

出版信息

Diagnostics (Basel). 2016 May 16;6(2):20. doi: 10.3390/diagnostics6020020.

Abstract

In many developing nations, cervical cancer screening is done by visual inspection with acetic acid (VIA). Monitoring and evaluation (M&E) of such screening programs is challenging. An enhanced visual assessment (EVA) system was developed to augment VIA procedures in low-resource settings. The EVA System consists of a mobile colposcope built around a smartphone, and an online image portal for storing and annotating images. A smartphone app is used to control the mobile colposcope, and upload pictures to the image portal. In this paper, a new app feature that documents clinical decisions using an integrated job aid was deployed in a cervical cancer screening camp in Kenya. Six organizations conducting VIA used the EVA System to screen 824 patients over the course of a week, and providers recorded their diagnoses and treatments in the application. Real-time aggregated statistics were broadcast on a public website. Screening organizations were able to assess the number of patients screened, alongside treatment rates, and the patients who tested positive and required treatment in real time, which allowed them to make adjustments as needed. The real-time M&E enabled by "smart" diagnostic medical devices holds promise for broader use in screening programs in low-resource settings.

摘要

在许多发展中国家,宫颈癌筛查是通过醋酸视觉检查(VIA)进行的。对这类筛查项目进行监测和评估(M&E)具有挑战性。为了在资源匮乏的环境中增强 VIA 程序,开发了一种增强视觉评估(EVA)系统。EVA 系统由一个智能手机环绕的移动阴道镜和一个用于存储和标注图像的在线图像门户组成。智能手机应用程序用于控制移动阴道镜,并将图片上传到图像门户。在本文中,一种使用集成工作辅助工具记录临床决策的新应用程序功能在肯尼亚的一个宫颈癌筛查营地中得到了部署。六家开展 VIA 的组织在一周内使用 EVA 系统对 824 名患者进行了筛查,提供者在应用程序中记录了他们的诊断和治疗。实时汇总统计数据在一个公共网站上广播。筛查组织能够实时评估筛查的患者数量、治疗率以及检测呈阳性并需要治疗的患者数量,这使他们能够根据需要进行调整。“智能”诊断医疗器械实现的实时 M&E 有望在资源匮乏环境中的筛查项目中得到更广泛的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c523/4931415/ecd266b10af1/diagnostics-06-00020-g001.jpg

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