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Lymphatic filariasis patient identification in a large urban area of Tanzania: An application of a community-led mHealth system

Identifieur interne : 004311 ( Pmc/Curation ); précédent : 004310; suivant : 004312

Lymphatic filariasis patient identification in a large urban area of Tanzania: An application of a community-led mHealth system

Auteurs : Upendo Mwingira [Tanzanie] ; Maria Chikawe [Tanzanie] ; Wilfred Lazarus Mandara [Tanzanie] ; Hayley E. Mableson [Royaume-Uni] ; Cecilia Uisso [Tanzanie] ; Irene Mremi [Tanzanie] ; Alpha Malishee [Tanzanie] ; Mwele Malecela [Tanzanie] ; Charles D. Mackenzie [Royaume-Uni, États-Unis] ; Louise A. Kelly-Hope [Royaume-Uni] ; Michelle C. Stanton [Royaume-Uni]

Source :

RBID : PMC:5529014

Abstract

Background

Lymphatic filariasis (LF) is best known for the disabling and disfiguring clinical conditions that infected patients can develop; providing care for these individuals is a major goal of the Global Programme to Eliminate LF. Methods of locating these patients, knowing their true number and thus providing care for them, remains a challenge for national medical systems, particularly when the endemic zone is a large urban area.

Methodology/Principle findings

A health community-led door-to-door survey approach using the SMS reporting tool MeasureSMS-Morbidity was used to rapidly collate and monitor data on LF patients in real-time (location, sex, age, clinical condition) in Dar es Salaam, Tanzania. Each stage of the phased study carried out in the three urban districts of city consisted of a training period, a patient identification and reporting period, and a data verification period, with refinements to the system being made after each phase. A total of 6889 patients were reported (133.6 per 100,000 population), of which 4169 were reported to have hydrocoele (80.9 per 100,000), 2251 lymphoedema-elephantiasis (LE) (43.7 per 100,000) and 469 with both conditions (9.1 per 100,000). Kinondoni had the highest number of reported patients in absolute terms (2846, 138.9 per 100,000), followed by Temeke (2550, 157.3 per 100,000) and Ilala (1493, 100.5 per 100,000). The number of hydrocoele patients was almost twice that of LE in all three districts. Severe LE patients accounted for approximately a quarter (26.9%) of those reported, with the number of acute attacks increasing with reported LE severity (1.34 in mild cases, 1.78 in moderate cases, 2.52 in severe). Verification checks supported these findings.

Conclusions/Significance

This system of identifying, recording and mapping patients affected by LF greatly assists in planning, locating and prioritising, as well as initiating, appropriate morbidity management and disability prevention (MMDP) activities. The approach is a feasible framework that could be used in other large urban environments in the LF endemic areas.


Url:
DOI: 10.1371/journal.pntd.0005748
PubMed: 28708825
PubMed Central: 5529014

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PMC:5529014

Le document en format XML

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<title>Background</title>
<p>Lymphatic filariasis (LF) is best known for the disabling and disfiguring clinical conditions that infected patients can develop; providing care for these individuals is a major goal of the Global Programme to Eliminate LF. Methods of locating these patients, knowing their true number and thus providing care for them, remains a challenge for national medical systems, particularly when the endemic zone is a large urban area.</p>
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<sec id="sec002">
<title>Methodology/Principle findings</title>
<p>A health community-led door-to-door survey approach using the SMS reporting tool
<italic>MeasureSMS-Morbidity</italic>
was used to rapidly collate and monitor data on LF patients in real-time (location, sex, age, clinical condition) in Dar es Salaam, Tanzania. Each stage of the phased study carried out in the three urban districts of city consisted of a training period, a patient identification and reporting period, and a data verification period, with refinements to the system being made after each phase. A total of 6889 patients were reported (133.6 per 100,000 population), of which 4169 were reported to have hydrocoele (80.9 per 100,000), 2251 lymphoedema-elephantiasis (LE) (43.7 per 100,000) and 469 with both conditions (9.1 per 100,000). Kinondoni had the highest number of reported patients in absolute terms (2846, 138.9 per 100,000), followed by Temeke (2550, 157.3 per 100,000) and Ilala (1493, 100.5 per 100,000). The number of hydrocoele patients was almost twice that of LE in all three districts. Severe LE patients accounted for approximately a quarter (26.9%) of those reported, with the number of acute attacks increasing with reported LE severity (1.34 in mild cases, 1.78 in moderate cases, 2.52 in severe). Verification checks supported these findings.</p>
</sec>
<sec id="sec003">
<title>Conclusions/Significance</title>
<p>This system of identifying, recording and mapping patients affected by LF greatly assists in planning, locating and prioritising, as well as initiating, appropriate morbidity management and disability prevention (MMDP) activities. The approach is a feasible framework that could be used in other large urban environments in the LF endemic areas.</p>
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<pmc article-type="research-article">
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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS Negl Trop Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS Negl Trop Dis</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosntds</journal-id>
<journal-title-group>
<journal-title>PLoS Neglected Tropical Diseases</journal-title>
</journal-title-group>
<issn pub-type="ppub">1935-2727</issn>
<issn pub-type="epub">1935-2735</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
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</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">28708825</article-id>
<article-id pub-id-type="pmc">5529014</article-id>
<article-id pub-id-type="doi">10.1371/journal.pntd.0005748</article-id>
<article-id pub-id-type="publisher-id">PNTD-D-16-02251</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Medicine and Health Sciences</subject>
<subj-group>
<subject>Health Care</subject>
<subj-group>
<subject>Health Statistics</subject>
<subj-group>
<subject>Morbidity</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Computer and Information Sciences</subject>
<subj-group>
<subject>Data Management</subject>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Medicine and Health Sciences</subject>
<subj-group>
<subject>Parasitic Diseases</subject>
<subj-group>
<subject>Helminth Infections</subject>
<subj-group>
<subject>Filariasis</subject>
<subj-group>
<subject>Lymphatic Filariasis</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Medicine and Health Sciences</subject>
<subj-group>
<subject>Tropical Diseases</subject>
<subj-group>
<subject>Neglected Tropical Diseases</subject>
<subj-group>
<subject>Lymphatic Filariasis</subject>
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</subj-group>
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<subject>Geography</subject>
<subj-group>
<subject>Geographic Areas</subject>
<subj-group>
<subject>Urban Areas</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>People and Places</subject>
<subj-group>
<subject>Geographical Locations</subject>
<subj-group>
<subject>Africa</subject>
<subj-group>
<subject>Tanzania</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Ecology and Environmental Sciences</subject>
<subj-group>
<subject>Terrestrial Environments</subject>
<subj-group>
<subject>Urban Environments</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Medicine and Health Sciences</subject>
<subj-group>
<subject>Tropical Diseases</subject>
<subj-group>
<subject>Neglected Tropical Diseases</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Biology and Life Sciences</subject>
<subj-group>
<subject>Population Biology</subject>
<subj-group>
<subject>Population Dynamics</subject>
<subj-group>
<subject>Geographic Distribution</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Lymphatic filariasis patient identification in a large urban area of Tanzania: An application of a community-led mHealth system</article-title>
<alt-title alt-title-type="running-head">Lymphatic filariasis patient identification in urban Tanzania</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mwingira</surname>
<given-names>Upendo</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Project administration</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chikawe</surname>
<given-names>Maria</given-names>
</name>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Project administration</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mandara</surname>
<given-names>Wilfred Lazarus</given-names>
</name>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mableson</surname>
<given-names>Hayley E.</given-names>
</name>
<role content-type="http://credit.casrai.org/">Data curation</role>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Project administration</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Software</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Uisso</surname>
<given-names>Cecilia</given-names>
</name>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
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<name>
<surname>Mremi</surname>
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<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Malishee</surname>
<given-names>Alpha</given-names>
</name>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff001">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Malecela</surname>
<given-names>Mwele</given-names>
</name>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff002">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mackenzie</surname>
<given-names>Charles D.</given-names>
</name>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff004">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Kelly-Hope</surname>
<given-names>Louise A.</given-names>
</name>
<role content-type="http://credit.casrai.org/">Conceptualization</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Project administration</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0002-1754-4894</contrib-id>
<name>
<surname>Stanton</surname>
<given-names>Michelle C.</given-names>
</name>
<role content-type="http://credit.casrai.org/">Data curation</role>
<role content-type="http://credit.casrai.org/">Formal analysis</role>
<role content-type="http://credit.casrai.org/">Investigation</role>
<role content-type="http://credit.casrai.org/">Methodology</role>
<role content-type="http://credit.casrai.org/">Resources</role>
<role content-type="http://credit.casrai.org/">Software</role>
<role content-type="http://credit.casrai.org/">Supervision</role>
<role content-type="http://credit.casrai.org/">Validation</role>
<role content-type="http://credit.casrai.org/">Visualization</role>
<role content-type="http://credit.casrai.org/">Writing – original draft</role>
<role content-type="http://credit.casrai.org/">Writing – review & editing</role>
<xref ref-type="aff" rid="aff003">
<sup>3</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff001">
<label>1</label>
<addr-line>Neglected Tropical Diseases Control Programme, Ministry of Health and Social Welfare, Dar es Salaam, Tanzania</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
<addr-line>National Institute for Medical Research, Dar es Salaam, Tanzania</addr-line>
</aff>
<aff id="aff003">
<label>3</label>
<addr-line>Centre for Neglected Tropical Diseases (CNTD), Department of Parasitology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom</addr-line>
</aff>
<aff id="aff004">
<label>4</label>
<addr-line>Department of Pathobiology and Diagnostic Investigation, Michigan State University, Michigan, United States of America</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Specht</surname>
<given-names>Sabine</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">
<addr-line>University of Zurich, SWITZERLAND</addr-line>
</aff>
<author-notes>
<fn fn-type="COI-statement" id="coi001">
<p>The authors have declared that no competing interests exist.</p>
</fn>
<corresp id="cor001">* E-mail:
<email>louise.kelly-hope@lstmed.ac.uk</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>7</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<month>7</month>
<year>2017</year>
</pub-date>
<volume>11</volume>
<issue>7</issue>
<elocation-id>e0005748</elocation-id>
<history>
<date date-type="received">
<day>5</day>
<month>1</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>6</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>© 2017 Mwingira et al</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Mwingira et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open access article distributed under the terms of the
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="pntd.0005748.pdf"></self-uri>
<abstract>
<sec id="sec001">
<title>Background</title>
<p>Lymphatic filariasis (LF) is best known for the disabling and disfiguring clinical conditions that infected patients can develop; providing care for these individuals is a major goal of the Global Programme to Eliminate LF. Methods of locating these patients, knowing their true number and thus providing care for them, remains a challenge for national medical systems, particularly when the endemic zone is a large urban area.</p>
</sec>
<sec id="sec002">
<title>Methodology/Principle findings</title>
<p>A health community-led door-to-door survey approach using the SMS reporting tool
<italic>MeasureSMS-Morbidity</italic>
was used to rapidly collate and monitor data on LF patients in real-time (location, sex, age, clinical condition) in Dar es Salaam, Tanzania. Each stage of the phased study carried out in the three urban districts of city consisted of a training period, a patient identification and reporting period, and a data verification period, with refinements to the system being made after each phase. A total of 6889 patients were reported (133.6 per 100,000 population), of which 4169 were reported to have hydrocoele (80.9 per 100,000), 2251 lymphoedema-elephantiasis (LE) (43.7 per 100,000) and 469 with both conditions (9.1 per 100,000). Kinondoni had the highest number of reported patients in absolute terms (2846, 138.9 per 100,000), followed by Temeke (2550, 157.3 per 100,000) and Ilala (1493, 100.5 per 100,000). The number of hydrocoele patients was almost twice that of LE in all three districts. Severe LE patients accounted for approximately a quarter (26.9%) of those reported, with the number of acute attacks increasing with reported LE severity (1.34 in mild cases, 1.78 in moderate cases, 2.52 in severe). Verification checks supported these findings.</p>
</sec>
<sec id="sec003">
<title>Conclusions/Significance</title>
<p>This system of identifying, recording and mapping patients affected by LF greatly assists in planning, locating and prioritising, as well as initiating, appropriate morbidity management and disability prevention (MMDP) activities. The approach is a feasible framework that could be used in other large urban environments in the LF endemic areas.</p>
</sec>
</abstract>
<abstract abstract-type="summary">
<title>Author summary</title>
<p>Lymphatic filariasis (LF) can cause disabling conditions in infected patients including lymphoedema-elephantiasis (LE) and hydrocoele. Identifying the number and locations of these patients is the first step towards ensuring that these patients receive the care they require, however there is currently no standardised approach for this essential action. This paper presents a health community-led approach for rapidly identifying patients in urban areas using an SMS reporting system,
<italic>MeasureSMS-Morbidity</italic>
, that allows health workers to report individual-level patient information (age, sex, location, condition, severity), which can be then be viewed in real-time via a web browser. The quality of the data can be easily monitored during the data collection period, and there is instant availability of patient information. This system is used here in the large urban centre of Dar es Salaam, Tanzania. A total of 6889 patients were identified, equating to 80.9 hydrocele patients per 100,000 population, 43.7 LE patients per 100,000 people, and 9.1 patients with both conditions. This information is now enabling the national neglected tropical disease (NTD) program to provide the essential care facilities and training for LF healthcare in locations in the city where it is most needed.</p>
</abstract>
<funding-group>
<award-group id="award001">
<funding-source>
<institution-wrap>
<institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/501100000278</institution-id>
<institution>Department for International Development</institution>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>This research was funded by grant support from the Department for International Development (DFID) to the Centre for Neglected Tropical Diseases at the Liverpool School of Tropical Medicine. The funder did not have any role in any aspect of this study.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"></fig-count>
<table-count count="6"></table-count>
<page-count count="17"></page-count>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>PLOS Publication Stage</meta-name>
<meta-value>vor-update-to-uncorrected-proof</meta-value>
</custom-meta>
<custom-meta>
<meta-name>Publication Update</meta-name>
<meta-value>2017-07-26</meta-value>
</custom-meta>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>Individual patient data collected during this study is not freely available for ethical reasons as public availability may compromise patient confidentiality. Data requests may however be made to the data manager at the Tanzanian National Institute for Medical Research, Alfred Meshack (
<email>alfredmmeshack@gmail.com</email>
).</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes>
<title>Data Availability</title>
<p>Individual patient data collected during this study is not freely available for ethical reasons as public availability may compromise patient confidentiality. Data requests may however be made to the data manager at the Tanzanian National Institute for Medical Research, Alfred Meshack (
<email>alfredmmeshack@gmail.com</email>
).</p>
</notes>
</front>
</pmc>
</record>

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