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加纳社区卫生志愿者利用基于手机的工具管理和监测淋巴丝虫病和急性皮肤淋巴管炎发作的发病率。

Morbidity management and surveillance of lymphatic filariasis disease and acute dermatolymphangioadenitis attacks using a mobile phone-based tool by community health volunteers in Ghana.

机构信息

Department of Clinical Microbiology, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Kumasi Centre for Collaborative Research in Tropical Medicine (KCCR), Kumasi, Ghana.

出版信息

PLoS Negl Trop Dis. 2020 Nov 12;14(11):e0008839. doi: 10.1371/journal.pntd.0008839. eCollection 2020 Nov.

DOI:10.1371/journal.pntd.0008839
PMID:33180780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7685506/
Abstract

Morbidity burden of lymphatic filariasis (LF) relies on the information from the Mass Drug Administration (MDA) programme where Community Health Volunteers (CHVs) passively report cases identified. Consequently, the exact prevalence of morbidity cases is not always accurate. The use of mobile phone technology to report morbidity cases was piloted in Ghana using a text-based short messaging service (SMS) tool by CHVs. Though successful, illiterate CHVs could not effectively use the SMS tool. The aim of this study was to evaluate the use of a mobile phone-based Interactive Voice Response System (mIVRS) by CHVs in reporting LF morbidity cases and acute dermatolymphangioadenitis (ADLA) attacks in Ghana. The mIVRS was designed as a surveillance tool to capture LF data in Kassena Nankana Districts of Ghana. One hundred CHVs were trained to identify and report lymphedema and hydrocele cases as well as ADLA attacks by calling a hotline linked to the mIVRS. The system asked a series of questions about the disease condition. The ability of the CHV to report accurately was assessed and the data from the mIVRS were compared with the paper records from the CHVs and existing MDA programme records from the same communities and period. Higher numbers of lymphedema and hydrocele cases were recorded by the CHVs using the mIVRS (n = 590 and n = 103) compared to the paper-based reporting (n = 417 and n = 76) and the MDA records (n = 154 and n = 84). Female CHVs, CHVs above 40 years, and CHVs with higher educational levels were better at paper-based reporting (P = 0.007, P = 0.001, P = 0.049 respectively). The system, when fully developed and linked to national databases, may help to overcome underreporting of morbidity cases and ADLA attacks in endemic communities. The system has the potential to be further expanded to other diseases.

摘要

淋巴丝虫病(LF)的发病负担依赖于大规模药物管理(MDA)计划中的信息,社区卫生志愿者(CHV)被动报告发现的病例。因此,发病病例的确切患病率并不总是准确的。加纳使用手机技术通过 CHV 使用基于文本的短消息服务(SMS)工具试点报告发病病例。虽然该方法是成功的,但不识字的 CHV 无法有效地使用 SMS 工具。本研究旨在评估 CHV 使用基于移动电话的交互式语音应答系统(mIVRS)报告加纳 LF 发病病例和急性皮肤淋巴管炎(ADLA)发作的情况。mIVRS 被设计为一种监测工具,用于捕获加纳卡塞纳-纳克纳区的 LF 数据。100 名 CHV 接受了培训,通过拨打与 mIVRS 相关的热线来识别和报告淋巴水肿和鞘膜积液病例以及 ADLA 发作。系统会询问有关疾病状况的一系列问题。评估 CHV 准确报告的能力,并将 mIVRS 数据与 CHV 的纸质记录以及同一社区和同一时期的现有 MDA 计划记录进行比较。CHV 使用 mIVRS 记录的淋巴水肿和鞘膜积液病例数量(n = 590 和 n = 103)高于基于纸张的报告(n = 417 和 n = 76)和 MDA 记录(n = 154 和 n = 84)。女性 CHV、年龄在 40 岁以上的 CHV 和教育程度较高的 CHV 更擅长基于纸张的报告(P = 0.007、P = 0.001、P = 0.049)。该系统在充分开发并与国家数据库连接后,可能有助于克服流行社区中发病病例和 ADLA 发作的漏报情况。该系统还有望进一步扩展到其他疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/b232646151c0/pntd.0008839.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/5504efc48e12/pntd.0008839.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/3fa295d2777e/pntd.0008839.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/68475512c1bf/pntd.0008839.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/307db98bf262/pntd.0008839.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/b232646151c0/pntd.0008839.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/5504efc48e12/pntd.0008839.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/3fa295d2777e/pntd.0008839.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/68475512c1bf/pntd.0008839.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/307db98bf262/pntd.0008839.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b02/7685506/b232646151c0/pntd.0008839.g005.jpg

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