LymphedemaV1, Main, Exploration, bibRecord, 000422

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

Identifieur interne : 000422 ( Main/Exploration ); précédent : 000421; suivant : 000423

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 :

PLoS Neglected Tropical Diseases [ 1935-2727 ] ; 2017.

RBID : PMC:5529014

Descripteurs français

KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Enquêtes et questionnaires, Envoi de messages textuels (utilisation), Femelle, Filariose lymphatique (), Filariose lymphatique (épidémiologie), Humains, Hydrocèle (), Hydrocèle (épidémiologie), Indice de gravité médicale, Jeune adulte, Morbidité, Mâle, Nourrisson, Nouveau-né, Personnel de santé (enseignement et éducation), Population urbaine, Répartition par âge, Sujet âgé, Tanzanie (épidémiologie), Télémédecine ().
MESH :
- enseignement et éducation : Personnel de santé.
- utilisation : Envoi de messages textuels.
- épidémiologie : Filariose lymphatique, Hydrocèle, Tanzanie.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Enquêtes et questionnaires, Femelle, Filariose lymphatique, Humains, Hydrocèle, Indice de gravité médicale, Jeune adulte, Morbidité, Mâle, Nourrisson, Nouveau-né, Population urbaine, Répartition par âge, Sujet âgé, Télémédecine.

English descriptors

KwdEn :
- Adolescent, Adult, Age Distribution, Aged, Child, Child, Preschool, Elephantiasis, Filarial (complications), Elephantiasis, Filarial (epidemiology), Female, Health Personnel (education), Humans, Infant, Infant, Newborn, Male, Middle Aged, Morbidity, Severity of Illness Index, Surveys and Questionnaires, Tanzania (epidemiology), Telemedicine (methods), Testicular Hydrocele (complications), Testicular Hydrocele (epidemiology), Text Messaging (utilization), Urban Population, Young Adult.
MESH :
- complications : Elephantiasis, Filarial, Testicular Hydrocele.
- education : Health Personnel.
- epidemiology : Elephantiasis, Filarial, Tanzania, Testicular Hydrocele.
- methods : Telemedicine.
- utilization : Text Messaging.
- Adolescent, Adult, Age Distribution, Aged, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Morbidity, Severity of Illness Index, Surveys and Questionnaires, Urban Population, Young Adult.

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:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5529014

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

Affiliations:

Le document en format XML

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<term>Adulte</term>
<term>Adulte d'âge moyen</term>
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<term>Femelle</term>
<term>Filariose lymphatique ()</term>
<term>Filariose lymphatique (épidémiologie)</term>
<term>Humains</term>
<term>Hydrocèle ()</term>
<term>Hydrocèle (épidémiologie)</term>
<term>Indice de gravité médicale</term>
<term>Jeune adulte</term>
<term>Morbidité</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Personnel de santé (enseignement et éducation)</term>
<term>Population urbaine</term>
<term>Répartition par âge</term>
<term>Sujet âgé</term>
<term>Tanzanie (épidémiologie)</term>
<term>Télémédecine ()</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Elephantiasis, Filarial</term>
<term>Testicular Hydrocele</term>
</keywords>
<keywords scheme="MESH" qualifier="education" xml:lang="en"><term>Health Personnel</term>
</keywords>
<keywords scheme="MESH" qualifier="enseignement et éducation" xml:lang="fr"><term>Personnel de santé</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term>
<term>Tanzania</term>
<term>Testicular Hydrocele</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Telemedicine</term>
</keywords>
<keywords scheme="MESH" qualifier="utilisation" xml:lang="fr"><term>Envoi de messages textuels</term>
</keywords>
<keywords scheme="MESH" qualifier="utilization" xml:lang="en"><term>Text Messaging</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Filariose lymphatique</term>
<term>Hydrocèle</term>
<term>Tanzanie</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Age Distribution</term>
<term>Aged</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Infant, Newborn</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Morbidity</term>
<term>Severity of Illness Index</term>
<term>Surveys and Questionnaires</term>
<term>Urban Population</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Enquêtes et questionnaires</term>
<term>Femelle</term>
<term>Filariose lymphatique</term>
<term>Humains</term>
<term>Hydrocèle</term>
<term>Indice de gravité médicale</term>
<term>Jeune adulte</term>
<term>Morbidité</term>
<term>Mâle</term>
<term>Nourrisson</term>
<term>Nouveau-né</term>
<term>Population urbaine</term>
<term>Répartition par âge</term>
<term>Sujet âgé</term>
<term>Télémédecine</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><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>
</div>
</front>
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</listBibl>
</div1>
</back>
</TEI>
<affiliations><list><country><li>Royaume-Uni</li>
<li>Tanzanie</li>
<li>États-Unis</li>
</country>
<region><li>Michigan</li>
</region>
<settlement><li>East Lansing</li>
</settlement>
<orgName><li>Université d'État du Michigan</li>
</orgName>
</list>
<tree><country name="Tanzanie"><noRegion><name sortKey="Mwingira, Upendo" sort="Mwingira, Upendo" uniqKey="Mwingira U" first="Upendo" last="Mwingira">Upendo Mwingira</name>
</noRegion>
<name sortKey="Chikawe, Maria" sort="Chikawe, Maria" uniqKey="Chikawe M" first="Maria" last="Chikawe">Maria Chikawe</name>
<name sortKey="Chikawe, Maria" sort="Chikawe, Maria" uniqKey="Chikawe M" first="Maria" last="Chikawe">Maria Chikawe</name>
<name sortKey="Malecela, Mwele" sort="Malecela, Mwele" uniqKey="Malecela M" first="Mwele" last="Malecela">Mwele Malecela</name>
<name sortKey="Malishee, Alpha" sort="Malishee, Alpha" uniqKey="Malishee A" first="Alpha" last="Malishee">Alpha Malishee</name>
<name sortKey="Mandara, Wilfred Lazarus" sort="Mandara, Wilfred Lazarus" uniqKey="Mandara W" first="Wilfred Lazarus" last="Mandara">Wilfred Lazarus Mandara</name>
<name sortKey="Mremi, Irene" sort="Mremi, Irene" uniqKey="Mremi I" first="Irene" last="Mremi">Irene Mremi</name>
<name sortKey="Mwingira, Upendo" sort="Mwingira, Upendo" uniqKey="Mwingira U" first="Upendo" last="Mwingira">Upendo Mwingira</name>
<name sortKey="Uisso, Cecilia" sort="Uisso, Cecilia" uniqKey="Uisso C" first="Cecilia" last="Uisso">Cecilia Uisso</name>
</country>
<country name="Royaume-Uni"><noRegion><name sortKey="Mableson, Hayley E" sort="Mableson, Hayley E" uniqKey="Mableson H" first="Hayley E." last="Mableson">Hayley E. Mableson</name>
</noRegion>
<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>
<name sortKey="Mackenzie, Charles D" sort="Mackenzie, Charles D" uniqKey="Mackenzie C" first="Charles D." last="Mackenzie">Charles D. Mackenzie</name>
<name sortKey="Stanton, Michelle C" sort="Stanton, Michelle C" uniqKey="Stanton M" first="Michelle C." last="Stanton">Michelle C. Stanton</name>
</country>
<country name="États-Unis"><region name="Michigan"><name sortKey="Mackenzie, Charles D" sort="Mackenzie, Charles D" uniqKey="Mackenzie C" first="Charles D." last="Mackenzie">Charles D. Mackenzie</name>
</region>
</country>
</tree>
</affiliations>
</record>

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

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

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