被忽视热带病的诊断任务转移:尼日利亚使用一种新型诊断设备进行微丝虫检测的初步准实验研究的结果。

Adeola Onasanya, Temitope Agbana, Opeyemi Oladunni, Jo Van Engelen, Oladimeji Oladepo, Jan Carel Diehl
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引用次数: 0

摘要

背景:淋巴丝虫病(LF)是一种被忽视的高发病率热带病(NTD)。检测LF的工具要么不易获得,要么由初级卫生中心的社区卫生推广工作者(CHEWs)使用。一种新开发的诊断设备,AiDx Assist,是针对CHEWs使用的。目的:本研究旨在利用世界卫生组织的LF诊断目标产品简介(TPP)作为指导,与实验室科学家相比,确定CHEWs使用新设备检测LF的效率(速度)和有效性(诊断能力)。方法:本研究采用准实验设计。随机选择7名参加CHEW项目的学生(干预组),同时有意招募2名实验室科学家(对照组)进行设备使用培训。之后,两组均根据所提供的64张样本玻片进行测试。结果:干预组的效率(速度)与对照组相当。干预组的计算有效性(诊断能力)参数的敏感性为85.7%,特异性为82.5%。结论:鉴于这一初步结果,将任务转移到CHEWs诊断LF的可能性很大,从而降低了低资源环境中LF的患病率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic task shifting for NTDs: outcome of a preliminary quasi-experimental study for microfilaria detection using a novel diagnostic device in Nigeria.

Background: Lymphatic filariasis (LF) is a Neglected Tropical Disease (NTD) with high morbidity. Tools for detecting LF are either not readily available or used by Community Health Extension Workers (CHEWs) at Primary Health Centers. A newly developed diagnostic device, the AiDx Assist, is targeted for use by CHEWs.

Objective: The study aims to determine the efficiency (speed) and effectiveness (diagnostic capacity) of CHEWs compared to laboratory scientists for detecting LF with the new device, using the World Health Organization's Target Product Profile (TPP) for LF diagnostics as a guide.

Methods: This study utilized a Quasi-experimental design. 7 students undergoing the CHEW program (intervention group) were randomly selected while 2 laboratory scientists (control group) were purposively recruited and were trained to use the device. Thereafter, both groups were tested based on 64 sample slides provided.

Results: The intervention group's efficiency (speed) was similar to the control group. Computed Effectiveness (diagnostic capacity) parameters for the intervention group demonstrated a sensitivity of 85.7% and a specificity of 82.5%.

Conclusion: Given this preliminary result, task shifting to CHEWs for the diagnosis of LF is highly likely to be successful, thereby reducing the prevalence of LF in low-resource settings.

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