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

de Souza DK, Yirenkyi E, Otchere J, Biritwum NK, Ameme DK, Sackey S, Ahorlu C, Wilson MD - PLoS Negl Trop Dis (2016)

Bottom Line: 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.The 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.

View Article: PubMed Central - PubMed

Affiliation: Parasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.

ABSTRACT

Background: The 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.

Methods: A 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.

Findings: The 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.

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Related in: MedlinePlus

Functional areas of the data management assessment.A.) Agona Nkwanta DHMT, Ahanta West; B.) Axim DHMT, Nzema East; C.) Konyarko Health Post, Agona East. Functional areas with scores >2.5 indicate high quality, whiles score <2.0 reflect low quality. Scores ≥2.8 across sites, indicate good performance and scores ≤1.5 across sites indicates that functional area needs to be improved.
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pntd.0004590.g003: Functional areas of the data management assessment.A.) Agona Nkwanta DHMT, Ahanta West; B.) Axim DHMT, Nzema East; C.) Konyarko Health Post, Agona East. Functional areas with scores >2.5 indicate high quality, whiles score <2.0 reflect low quality. Scores ≥2.8 across sites, indicate good performance and scores ≤1.5 across sites indicates that functional area needs to be improved.

Mentions: Results of the data management assessment in the Districts are shown in Fig 3. In Agona Nkwanta, indicator definitions and reporting guidelines were the strongest functional areas followed by data collection and reporting forms and tools. Data management processes was the weakest functional area, followed by M&E structure, function and capabilities. In Axim District Health Directorate, the strongest functional area was indicator definitions and reporting guidelines, followed by M&E structure, functions and capabilities then data-collection and reporting forms and tools. In Konyarko health post, the strongest functional area was the data collection and reporting forms and tools.


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

de Souza DK, Yirenkyi E, Otchere J, Biritwum NK, Ameme DK, Sackey S, Ahorlu C, Wilson MD - PLoS Negl Trop Dis (2016)

Functional areas of the data management assessment.A.) Agona Nkwanta DHMT, Ahanta West; B.) Axim DHMT, Nzema East; C.) Konyarko Health Post, Agona East. Functional areas with scores >2.5 indicate high quality, whiles score <2.0 reflect low quality. Scores ≥2.8 across sites, indicate good performance and scores ≤1.5 across sites indicates that functional area needs to be improved.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4814091&req=5

pntd.0004590.g003: Functional areas of the data management assessment.A.) Agona Nkwanta DHMT, Ahanta West; B.) Axim DHMT, Nzema East; C.) Konyarko Health Post, Agona East. Functional areas with scores >2.5 indicate high quality, whiles score <2.0 reflect low quality. Scores ≥2.8 across sites, indicate good performance and scores ≤1.5 across sites indicates that functional area needs to be improved.
Mentions: Results of the data management assessment in the Districts are shown in Fig 3. In Agona Nkwanta, indicator definitions and reporting guidelines were the strongest functional areas followed by data collection and reporting forms and tools. Data management processes was the weakest functional area, followed by M&E structure, function and capabilities. In Axim District Health Directorate, the strongest functional area was indicator definitions and reporting guidelines, followed by M&E structure, functions and capabilities then data-collection and reporting forms and tools. In Konyarko health post, the strongest functional area was the data collection and reporting forms and tools.

Bottom Line: 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.The 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.

View Article: PubMed Central - PubMed

Affiliation: Parasitology Department, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.

ABSTRACT

Background: The 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.

Methods: A 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.

Findings: The 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.

Show MeSH
Related in: MedlinePlus