Evidence map›Paper›PMID 27028010›Full record

ArticlePLoS neglected tropical diseases2016

Assessing Lymphatic Filariasis Data Quality in Endemic Communities in Ghana, Using the Neglected Tropical Diseases Data Quality Assessment Tool for Preventive Chemotherapy.

Dziedzom K de Souza, Eric Yirenkyi, Joseph Otchere, Nana-Kwadwo Biritwum, Donne K Ameme, Samuel Sackey, Collins Ahorlu, Michael D Wilson

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dziedzom K de SouzaParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Eric YirenkyiGhana Field Epidemiology and Laboratory Training Programme, School of Public Health, University of Ghana, Accra, Ghana.
Joseph OtchereParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Nana-Kwadwo BiritwumNational NTDs Control Program, Ghana Health Service, Accra, Ghana.
Donne K AmemeGhana Field Epidemiology and Laboratory Training Programme, School of Public Health, University of Ghana, Accra, Ghana.
Samuel SackeyGhana Field Epidemiology and Laboratory Training Programme, School of Public Health, University of Ghana, Accra, Ghana.
Collins AhorluEpidemiology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Michael D WilsonParasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe activities of the Global Programme for the Elimination of Lymphatic Filariasis have been in operation since the year 2000, with Mass Drug Administration (MDA) undertaken yearly in disease endemic communities. Information collected during MDA-such as population demographics, age, sex, drugs used and remaining, and therapeutic and geographic coverage-can be used to assess the quality of the data reported. To assist country programmes in evaluating the information reported, the WHO, in collaboration with NTD partners, including ENVISION/RTI, developed an NTD Data Quality Assessment (DQA) tool, for use by programmes. This study was undertaken to evaluate the tool and assess the quality of data reported in some endemic communities in Ghana.

methodsA cross sectional study, involving review of data registers and interview of drug distributors, disease control officers, and health information officers using the NTD DQA tool, was carried out in selected communities in three LF endemic Districts in Ghana. Data registers for service delivery points were obtained from District health office for assessment. The assessment verified reported results in comparison with recounted values for five indicators: number of tablets received, number of tablets used, number of tablets remaining, MDA coverage, and population treated. Furthermore, drug distributors, disease control officers, and health information officers (at the first data aggregation level), were interviewed, using the DQA tool, to determine the performance of the functional areas of the data management system.

findingsThe results showed that over 60% of the data reported were inaccurate, and exposed the challenges and limitations of the data management system. The DQA tool is a very useful monitoring and evaluation (M&E) tool that can be used to elucidate and address data quality issues in various NTD control programmes.

Indexed as

Cross-Sectional StudiesData CollectionData Interpretation, StatisticalElephantiasis, FilarialEndemic DiseasesFilaricidesGhanaHumansNeglected DiseasesSurveys and QuestionnairesFilaricides

Identifiers

PMID27028010
PMCPMC4814091

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.