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Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study
INTRODUCTION: the weekly disease surveillance system (WDSS) is a tool used to provide an early warning of potential public health threats in Zimbabwe. In 2020, Makonde District failed to detect an anthrax outbreak at one of its facilities, this untimely and poor response of the district increased mo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898767/ https://www.ncbi.nlm.nih.gov/pubmed/36762165 http://dx.doi.org/10.11604/pamj.2022.43.132.35001 |
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author | Madamombe, Kudzai Karakadzai, Mujinga Masoja, Gift Dhliwayo, Tapiwa Juru, Tsitsi Chadambuka, Addmore Govha, Emmanuel Gombe, Notion Tshimanga, Mufuta |
author_facet | Madamombe, Kudzai Karakadzai, Mujinga Masoja, Gift Dhliwayo, Tapiwa Juru, Tsitsi Chadambuka, Addmore Govha, Emmanuel Gombe, Notion Tshimanga, Mufuta |
author_sort | Madamombe, Kudzai |
collection | PubMed |
description | INTRODUCTION: the weekly disease surveillance system (WDSS) is a tool used to provide an early warning of potential public health threats in Zimbabwe. In 2020, Makonde District failed to detect an anthrax outbreak at one of its facilities, this untimely and poor response of the district increased morbidity. We evaluated the weekly disease surveillance system to determine reasons for missing outbreaks and determine the usefulness of the system in the detection of outbreaks. METHODS: we conducted descriptive cross-sectional study using updated Centres for Disease Control and Prevention guidelines for surveillance system evaluation. We recruited 46 health workers. A structured pretested interviewer-administered questionnaire was used to collect data on reasons for missing outbreaks, knowledge, usefulness and surveillance system attributes. Data were cleaned and bivariate analysis was conducted. RESULTS: health workers found the system simple (85%), acceptable (75%) and flexible (60%). However, we found only 5 (11%) health workers could correctly describe the surveillance system, only 2 (3%) were trained in disease surveillance, only 31 (65%) sent data on time, 57% of clinics had stock outs of forms, 60% of forms had entries with 100% of the data filled out and 22 (46%) of health workers analysed the data gathered and used it in meetings. CONCLUSION: the surveillance system was simple, flexible, acceptable, but unstable, untimely and not useful. There was poor knowledge on the surveillance system, health workers were not trained on disease surveillance, and quality of data was poor. Health workers should be trained in surveillance and data validation and adequate reporting tools provided. |
format | Online Article Text |
id | pubmed-9898767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The African Field Epidemiology Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-98987672023-02-08 Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study Madamombe, Kudzai Karakadzai, Mujinga Masoja, Gift Dhliwayo, Tapiwa Juru, Tsitsi Chadambuka, Addmore Govha, Emmanuel Gombe, Notion Tshimanga, Mufuta Pan Afr Med J Research INTRODUCTION: the weekly disease surveillance system (WDSS) is a tool used to provide an early warning of potential public health threats in Zimbabwe. In 2020, Makonde District failed to detect an anthrax outbreak at one of its facilities, this untimely and poor response of the district increased morbidity. We evaluated the weekly disease surveillance system to determine reasons for missing outbreaks and determine the usefulness of the system in the detection of outbreaks. METHODS: we conducted descriptive cross-sectional study using updated Centres for Disease Control and Prevention guidelines for surveillance system evaluation. We recruited 46 health workers. A structured pretested interviewer-administered questionnaire was used to collect data on reasons for missing outbreaks, knowledge, usefulness and surveillance system attributes. Data were cleaned and bivariate analysis was conducted. RESULTS: health workers found the system simple (85%), acceptable (75%) and flexible (60%). However, we found only 5 (11%) health workers could correctly describe the surveillance system, only 2 (3%) were trained in disease surveillance, only 31 (65%) sent data on time, 57% of clinics had stock outs of forms, 60% of forms had entries with 100% of the data filled out and 22 (46%) of health workers analysed the data gathered and used it in meetings. CONCLUSION: the surveillance system was simple, flexible, acceptable, but unstable, untimely and not useful. There was poor knowledge on the surveillance system, health workers were not trained on disease surveillance, and quality of data was poor. Health workers should be trained in surveillance and data validation and adequate reporting tools provided. The African Field Epidemiology Network 2022-11-09 /pmc/articles/PMC9898767/ /pubmed/36762165 http://dx.doi.org/10.11604/pamj.2022.43.132.35001 Text en Copyright: Kudzai Madamombe et al. https://creativecommons.org/licenses/by/4.0/The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Madamombe, Kudzai Karakadzai, Mujinga Masoja, Gift Dhliwayo, Tapiwa Juru, Tsitsi Chadambuka, Addmore Govha, Emmanuel Gombe, Notion Tshimanga, Mufuta Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study |
title | Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study |
title_full | Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study |
title_fullStr | Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study |
title_full_unstemmed | Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study |
title_short | Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study |
title_sort | evaluation of the weekly disease surveillance system for epidemic-prone diseases in makonde district, zimbabwe 2020: a descriptive cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898767/ https://www.ncbi.nlm.nih.gov/pubmed/36762165 http://dx.doi.org/10.11604/pamj.2022.43.132.35001 |
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