Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019
Objectives: We evaluated the malaria surveillance system in Adaklu District of the Volta Region of Ghana to determine if the system was meeting its objectives and assessed its usefulness and attributes. Study design: Descriptive cross-sectional design was used in evaluating the surveillance system....
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Public Health in Practice |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666535223000605 |
| _version_ | 1797398500802035712 |
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| author | E.E. Agbemafle C. Kubio D. Bandoh M.A. Odikro C.K. Azagba R.G. Issahaku S.O. Sackey |
| author_facet | E.E. Agbemafle C. Kubio D. Bandoh M.A. Odikro C.K. Azagba R.G. Issahaku S.O. Sackey |
| author_sort | E.E. Agbemafle |
| collection | DOAJ |
| description | Objectives: We evaluated the malaria surveillance system in Adaklu District of the Volta Region of Ghana to determine if the system was meeting its objectives and assessed its usefulness and attributes. Study design: Descriptive cross-sectional design was used in evaluating the surveillance system. Methods: We interviewed stakeholders using a semi-structured questionnaire on case detection and reporting. We assessed the system attributes using the Centers for Disease Control and Prevention updated guidelines for evaluating public health surveillance systems. We extracted and reviewed malaria surveillance data from the District Health Management Information System 2. Summary statistics and direct content analysis were performed on quantitative and qualitative data respectively. Results: Of the 80,441 suspected malaria cases recorded in Adaklu District from 2014 to 2018, 47,917 (59.6%) cases were confirmed. The system was meeting its objective of detecting malaria cases and monitoring trends in the population however, the system missed an epidemic in August 2016. Data generated from the surveillance system is used by the NMCP to aid in the distribution of logistics such as LLINs, RDT test kits, and track malaria control progress in the district. Staff at all levels were able to detect, confirm, treat and report malaria. All sub-districts/health facilities reported to the district and reports were all accurate and timely. The predictive value positive was 62.9%. Conclusions: The malaria surveillance system in Adaklu District was useful and meeting its set objective of monitoring trends of malaria in the population. It was simple, flexible, acceptable and representative; however, the system was not detecting epidemics. The District Health Management Team should set alert and epidemic thresholds to help detect promptly epidemics of malaria in the district. |
| first_indexed | 2024-03-09T01:26:25Z |
| format | Article |
| id | doaj.art-72cb4c5685444c2b89aca890e7353ef2 |
| institution | Directory Open Access Journal |
| issn | 2666-5352 |
| language | English |
| last_indexed | 2024-03-09T01:26:25Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Public Health in Practice |
| spelling | doaj.art-72cb4c5685444c2b89aca890e7353ef22023-12-10T06:18:23ZengElsevierPublic Health in Practice2666-53522023-12-016100414Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019E.E. Agbemafle0C. Kubio1D. Bandoh2M.A. Odikro3C.K. Azagba4R.G. Issahaku5S.O. Sackey6Ghana Field Epidemiology and Laboratory Training Programme, Department of Epidemiology and Disease Control, School of Public Health, College of Health and Allied Sciences, University of Ghana, Legon, Ghana; Corresponding author.Savannah Regional Health Directorate, Ghana Health Service, Damongo, GhanaGhana Field Epidemiology and Laboratory Training Programme, Department of Epidemiology and Disease Control, School of Public Health, College of Health and Allied Sciences, University of Ghana, Legon, GhanaGhana Field Epidemiology and Laboratory Training Programme, Department of Epidemiology and Disease Control, School of Public Health, College of Health and Allied Sciences, University of Ghana, Legon, GhanaAdaklu District Health Directorate, Ghana Health Service, Volta Region, GhanaGhana Field Epidemiology and Laboratory Training Programme, Department of Epidemiology and Disease Control, School of Public Health, College of Health and Allied Sciences, University of Ghana, Legon, GhanaGhana Field Epidemiology and Laboratory Training Programme, Department of Epidemiology and Disease Control, School of Public Health, College of Health and Allied Sciences, University of Ghana, Legon, GhanaObjectives: We evaluated the malaria surveillance system in Adaklu District of the Volta Region of Ghana to determine if the system was meeting its objectives and assessed its usefulness and attributes. Study design: Descriptive cross-sectional design was used in evaluating the surveillance system. Methods: We interviewed stakeholders using a semi-structured questionnaire on case detection and reporting. We assessed the system attributes using the Centers for Disease Control and Prevention updated guidelines for evaluating public health surveillance systems. We extracted and reviewed malaria surveillance data from the District Health Management Information System 2. Summary statistics and direct content analysis were performed on quantitative and qualitative data respectively. Results: Of the 80,441 suspected malaria cases recorded in Adaklu District from 2014 to 2018, 47,917 (59.6%) cases were confirmed. The system was meeting its objective of detecting malaria cases and monitoring trends in the population however, the system missed an epidemic in August 2016. Data generated from the surveillance system is used by the NMCP to aid in the distribution of logistics such as LLINs, RDT test kits, and track malaria control progress in the district. Staff at all levels were able to detect, confirm, treat and report malaria. All sub-districts/health facilities reported to the district and reports were all accurate and timely. The predictive value positive was 62.9%. Conclusions: The malaria surveillance system in Adaklu District was useful and meeting its set objective of monitoring trends of malaria in the population. It was simple, flexible, acceptable and representative; however, the system was not detecting epidemics. The District Health Management Team should set alert and epidemic thresholds to help detect promptly epidemics of malaria in the district.http://www.sciencedirect.com/science/article/pii/S2666535223000605MalariaSurveillance systemEvaluationAdakluVolta regionGhana |
| spellingShingle | E.E. Agbemafle C. Kubio D. Bandoh M.A. Odikro C.K. Azagba R.G. Issahaku S.O. Sackey Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019 Public Health in Practice Malaria Surveillance system Evaluation Adaklu Volta region Ghana |
| title | Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019 |
| title_full | Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019 |
| title_fullStr | Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019 |
| title_full_unstemmed | Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019 |
| title_short | Evaluation of the malaria surveillance system – Adaklu District, Volta Region, Ghana, 2019 |
| title_sort | evaluation of the malaria surveillance system adaklu district volta region ghana 2019 |
| topic | Malaria Surveillance system Evaluation Adaklu Volta region Ghana |
| url | http://www.sciencedirect.com/science/article/pii/S2666535223000605 |
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