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Diagnostics 2016, 6(2), 20; doi:10.3390/diagnostics6020020

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

1
MobileODT, Ltd., Tel Aviv 67107, Israel
2
Department of Family Medicine and Community Health, University of Pennsylvania Health System, Philadelphia, PA 19104, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Aydogan Ozcan
Received: 8 February 2016 / Revised: 26 April 2016 / Accepted: 6 May 2016 / Published: 16 May 2016
(This article belongs to the Special Issue Mobile Diagnosis)
View Full-Text   |   Download PDF [1626 KB, uploaded 16 May 2016]   |  

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. View Full-Text
Keywords: cervical cancer; screening; mHealth; low-resource settings; visual inspection with acetic acid; VIA cervical cancer; screening; mHealth; low-resource settings; visual inspection with acetic acid; VIA
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Peterson, C.W.; Rose, D.; Mink, J.; Levitz, D. Real-Time Monitoring and Evaluation of a Visual-Based Cervical Cancer Screening Program Using a Decision Support Job Aid. Diagnostics 2016, 6, 20.

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