Community-based field implementation scenarios of a short message service reporting tool for lymphatic filariasis case estimates in Africa and Asia
Identifieur interne : 000695 ( Main/Exploration ); précédent : 000694; suivant : 000696Community-based field implementation scenarios of a short message service reporting tool for lymphatic filariasis case estimates in Africa and Asia
Auteurs : Hayley E. Mableson [Royaume-Uni] ; Sarah Martindale [Royaume-Uni] ; Michelle C. Stanton [Royaume-Uni] ; Charles Mackenzie [Royaume-Uni, États-Unis] ; Louise A. Kelly-Hope [Royaume-Uni]Source :
- mHealth [ 2306-9740 ] ; 2017.
Abstract
Lymphatic filariasis (LF) is a neglected tropical disease (NTD) targeted for global elimination by 2020. Currently there is considerable international effort to scale-up morbidity management activities in endemic countries, however there remains a need for rapid, cost-effective methods and adaptable tools for obtaining estimates of people presenting with clinical manifestations of LF, namely lymphoedema and hydrocele. The mHealth tool ‘
A checklist of five key factors and sub-questions was used to determine and define specific community-based field implementation scenarios for using the
Based on experiences in Bangladesh, Ethiopia, Malawi, Nepal and Tanzania, four implementation scenarios were identified as suitable for using the
A decision-making framework built from the key factors and questions, and the resulting four implementation scenarios is proposed as a means of using the
Url:
DOI: 10.21037/mhealth.2017.06.06
PubMed: 28828375
PubMed Central: 5547175
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>Lymphatic filariasis (LF) is a neglected tropical disease (NTD) targeted for global elimination by 2020. Currently there is considerable international effort to scale-up morbidity management activities in endemic countries, however there remains a need for rapid, cost-effective methods and adaptable tools for obtaining estimates of people presenting with clinical manifestations of LF, namely lymphoedema and hydrocele. The mHealth tool ‘<italic>MeasureSMS-Morbidity</italic>
’ allows health workers in endemic areas to use their own mobile phones to send clinical information in a simple format using short message service (SMS). The experience gained through programmatic use of the tool in five endemic countries across a diversity of settings in Africa and Asia is used here to present implementation scenarios that are suitable for adapting the tool for use in a range of different programmatic, endemic, demographic and health system settings.</p>
</sec>
<sec><title>Methods</title>
<p>A checklist of five key factors and sub-questions was used to determine and define specific community-based field implementation scenarios for using the <italic>MeasureSMS-Morbidity</italic>
tool in a range of settings. These factors included: (I) tool feasibility (acceptability; community access and ownership); (II) LF endemicity (high; low prevalence); (III) population demography (urban; rural); (IV) health system structure (human resources; community access); and (V) integration with other diseases (co-endemicity).</p>
</sec>
<sec><title>Results</title>
<p>Based on experiences in Bangladesh, Ethiopia, Malawi, Nepal and Tanzania, four implementation scenarios were identified as suitable for using the <italic>MeasureSMS-Morbidity</italic>
tool for searching and reporting LF clinical case data across a range of programmatic, endemic, demographic and health system settings. These include: (I) urban, high endemic setting with two-tier reporting; (II) rural, high endemic setting with one-tier reporting; (III) rural, high endemic setting with two-tier reporting; and (IV) low-endemic, urban and rural setting with one-tier reporting.</p>
</sec>
<sec><title>Conclusions</title>
<p>A decision-making framework built from the key factors and questions, and the resulting four implementation scenarios is proposed as a means of using the <italic>MeasureSMS-Morbidity</italic>
tool. This framework will help national LF programmes consider appropriate methods to implement a survey using this tool to improve estimates of the clinical burden of LF. Obtaining LF case estimates is a vital step towards the elimination of LF as a public health problem in endemic countries.</p>
</sec>
</div>
</front>
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<name sortKey="Kelly Hope, Louise A" sort="Kelly Hope, Louise A" uniqKey="Kelly Hope L" first="Louise A." last="Kelly-Hope">Louise A. Kelly-Hope</name>
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