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

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Lymphatic filariasis patient identification in a large urban area of Tanzania : An application of a community-led mHealth system. / Mwingira, Upendo; Chikawe, Maria; Mandara, Wilfred Lazarus; Mableson, Hayley E; Uisso, Cecilia; Mremi, Irene; Malishee, Alpha; Malecela, Mwele; Mackenzie, Charles D; Kelly-Hope, Louise A; Stanton, Michelle C.

In: PLoS Neglected Tropical Diseases, Vol. 11, No. 7, e0005748, 14.07.2017.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Mwingira, U, Chikawe, M, Mandara, WL, Mableson, HE, Uisso, C, Mremi, I, Malishee, A, Malecela, M, Mackenzie, CD, Kelly-Hope, LA & Stanton, MC 2017, 'Lymphatic filariasis patient identification in a large urban area of Tanzania: An application of a community-led mHealth system', PLoS Neglected Tropical Diseases, vol. 11, no. 7, e0005748. https://doi.org/10.1371/journal.pntd.0005748

APA

Mwingira, U., Chikawe, M., Mandara, W. L., Mableson, H. E., Uisso, C., Mremi, I., Malishee, A., Malecela, M., Mackenzie, C. D., Kelly-Hope, L. A., & Stanton, M. C. (2017). Lymphatic filariasis patient identification in a large urban area of Tanzania: An application of a community-led mHealth system. PLoS Neglected Tropical Diseases, 11(7), [e0005748]. https://doi.org/10.1371/journal.pntd.0005748

Vancouver

Mwingira U, Chikawe M, Mandara WL, Mableson HE, Uisso C, Mremi I et al. Lymphatic filariasis patient identification in a large urban area of Tanzania: An application of a community-led mHealth system. PLoS Neglected Tropical Diseases. 2017 Jul 14;11(7). e0005748. https://doi.org/10.1371/journal.pntd.0005748

Author

Mwingira, Upendo ; Chikawe, Maria ; Mandara, Wilfred Lazarus ; Mableson, Hayley E ; Uisso, Cecilia ; Mremi, Irene ; Malishee, Alpha ; Malecela, Mwele ; Mackenzie, Charles D ; Kelly-Hope, Louise A ; Stanton, Michelle C. / Lymphatic filariasis patient identification in a large urban area of Tanzania : An application of a community-led mHealth system. In: PLoS Neglected Tropical Diseases. 2017 ; Vol. 11, No. 7.

Bibtex

@article{737b9f249bc0410995ced35b4b01a483,
title = "Lymphatic filariasis patient identification in a large urban area of Tanzania: An application of a community-led mHealth system",
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.",
keywords = "Adolescent, Adult, Age Distribution, Aged, Child, Child, Preschool, Elephantiasis, Filarial, Female, Health Personnel, Humans, Infant, Infant, Newborn, Male, Middle Aged, Morbidity, Severity of Illness Index, Surveys and Questionnaires, Tanzania, Telemedicine, Testicular Hydrocele, Text Messaging, Urban Population, Young Adult, Journal Article",
author = "Upendo Mwingira and Maria Chikawe and Mandara, {Wilfred Lazarus} and Mableson, {Hayley E} and Cecilia Uisso and Irene Mremi and Alpha Malishee and Mwele Malecela and Mackenzie, {Charles D} and Kelly-Hope, {Louise A} and Stanton, {Michelle C}",
year = "2017",
month = jul,
day = "14",
doi = "10.1371/journal.pntd.0005748",
language = "English",
volume = "11",
journal = "PLoS Neglected Tropical Diseases",
issn = "1935-2727",
publisher = "Public Library of Science",
number = "7",

}

RIS

TY - JOUR

T1 - Lymphatic filariasis patient identification in a large urban area of Tanzania

T2 - An application of a community-led mHealth system

AU - Mwingira, Upendo

AU - Chikawe, Maria

AU - Mandara, Wilfred Lazarus

AU - Mableson, Hayley E

AU - Uisso, Cecilia

AU - Mremi, Irene

AU - Malishee, Alpha

AU - Malecela, Mwele

AU - Mackenzie, Charles D

AU - Kelly-Hope, Louise A

AU - Stanton, Michelle C

PY - 2017/7/14

Y1 - 2017/7/14

N2 - 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.

AB - 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.

KW - Adolescent

KW - Adult

KW - Age Distribution

KW - Aged

KW - Child

KW - Child, Preschool

KW - Elephantiasis, Filarial

KW - Female

KW - Health Personnel

KW - Humans

KW - Infant

KW - Infant, Newborn

KW - Male

KW - Middle Aged

KW - Morbidity

KW - Severity of Illness Index

KW - Surveys and Questionnaires

KW - Tanzania

KW - Telemedicine

KW - Testicular Hydrocele

KW - Text Messaging

KW - Urban Population

KW - Young Adult

KW - Journal Article

U2 - 10.1371/journal.pntd.0005748

DO - 10.1371/journal.pntd.0005748

M3 - Journal article

C2 - 28708825

VL - 11

JO - PLoS Neglected Tropical Diseases

JF - PLoS Neglected Tropical Diseases

SN - 1935-2727

IS - 7

M1 - e0005748

ER -