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Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned

BACKGROUND: Civil wars in the Great Lakes region resulted in massive displacement of people to neighboring countries including Uganda. With associated disease epidemics related to this conflict, a disease surveillance system was established aiming for timely detection of diseases and rapid response...

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Autores principales: Ario, Alex Riolexus, Barigye, Emily Atuheire, Nkonwa, Innocent Harbert, Ogwal, Jimmy, Opio, Denis Nixon, Bulage, Lilian, Kadobera, Daniel, Okello, Paul Edward, Kwagonza, Leocadia Warren, Kizito, Susan, Kwesiga, Benon, Kasozi, Julius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990451/
https://www.ncbi.nlm.nih.gov/pubmed/35395945
http://dx.doi.org/10.1186/s13031-022-00449-x
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author Ario, Alex Riolexus
Barigye, Emily Atuheire
Nkonwa, Innocent Harbert
Ogwal, Jimmy
Opio, Denis Nixon
Bulage, Lilian
Kadobera, Daniel
Okello, Paul Edward
Kwagonza, Leocadia Warren
Kizito, Susan
Kwesiga, Benon
Kasozi, Julius
author_facet Ario, Alex Riolexus
Barigye, Emily Atuheire
Nkonwa, Innocent Harbert
Ogwal, Jimmy
Opio, Denis Nixon
Bulage, Lilian
Kadobera, Daniel
Okello, Paul Edward
Kwagonza, Leocadia Warren
Kizito, Susan
Kwesiga, Benon
Kasozi, Julius
author_sort Ario, Alex Riolexus
collection PubMed
description BACKGROUND: Civil wars in the Great Lakes region resulted in massive displacement of people to neighboring countries including Uganda. With associated disease epidemics related to this conflict, a disease surveillance system was established aiming for timely detection of diseases and rapid response to outbreaks. We describe the evaluation of and lessons learned from the public health surveillance system set up in refugee settlements in Uganda. METHODS: We conducted a cross-sectional survey using the US Centers for Disease Control and Prevention Updated Guidelines for Evaluating Public Health Surveillance Systems and the Uganda National Technical Guidelines for Integrated Disease Surveillance and Response in four refugee settlements in Uganda—Bidibidi, Adjumani, Kiryandongo and Rhino Camp. Using semi-structured questionnaires, key informant and focus group discussion guides, we interviewed 53 health facility leaders, 12 key personnel and 224 village health team members from 53 health facilities and 112 villages and assessed key surveillance functions and attributes. RESULTS: All health facilities assessed had key surveillance staff; 60% were trained on Integrated Disease Surveillance and Response and most village health teams were trained on disease surveillance. Case detection was at 55%; facilities lacked standard case definitions and were using parallel Implementing Partner driven reporting systems. Recording was at 79% and reporting was at 81%. Data analysis and interpretation was at 49%. Confirmation of outbreaks and events was at 76%. Preparedness was at 72%. Response was at 34%. Feedback was at 82%. Evaluate and improve the system was at 67%. There was low capacity for detection, response and data analysis and interpretation of cases (< 60%). CONCLUSION: The surveillance system in the refugee settlements was functional with many performing attributes but with many remaining gaps. There was low capacity for detection, response and data analysis and interpretation in all the refugee settlements. There is need for improvement to align surveillance systems in refugee settlements with the mainstream surveillance system in the country. Implementing Partners should be urged to offer support for surveillance and training of surveillance staff on Integrated Disease Surveillance and Response to maintain effective surveillance functions. Functionalization of district teams ensures achievement of surveillance functions and attributes. Regular supervision of and support to health facility surveillance personnel is essential. Harmonization of reporting improves surveillance functions and attributes and appropriation of funds by government to districts to support refugee settlements is complementary to maintain effective surveillance of priority diseases in the northern and central part of Uganda.
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spelling pubmed-89904512022-04-09 Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned Ario, Alex Riolexus Barigye, Emily Atuheire Nkonwa, Innocent Harbert Ogwal, Jimmy Opio, Denis Nixon Bulage, Lilian Kadobera, Daniel Okello, Paul Edward Kwagonza, Leocadia Warren Kizito, Susan Kwesiga, Benon Kasozi, Julius Confl Health Research in Practice BACKGROUND: Civil wars in the Great Lakes region resulted in massive displacement of people to neighboring countries including Uganda. With associated disease epidemics related to this conflict, a disease surveillance system was established aiming for timely detection of diseases and rapid response to outbreaks. We describe the evaluation of and lessons learned from the public health surveillance system set up in refugee settlements in Uganda. METHODS: We conducted a cross-sectional survey using the US Centers for Disease Control and Prevention Updated Guidelines for Evaluating Public Health Surveillance Systems and the Uganda National Technical Guidelines for Integrated Disease Surveillance and Response in four refugee settlements in Uganda—Bidibidi, Adjumani, Kiryandongo and Rhino Camp. Using semi-structured questionnaires, key informant and focus group discussion guides, we interviewed 53 health facility leaders, 12 key personnel and 224 village health team members from 53 health facilities and 112 villages and assessed key surveillance functions and attributes. RESULTS: All health facilities assessed had key surveillance staff; 60% were trained on Integrated Disease Surveillance and Response and most village health teams were trained on disease surveillance. Case detection was at 55%; facilities lacked standard case definitions and were using parallel Implementing Partner driven reporting systems. Recording was at 79% and reporting was at 81%. Data analysis and interpretation was at 49%. Confirmation of outbreaks and events was at 76%. Preparedness was at 72%. Response was at 34%. Feedback was at 82%. Evaluate and improve the system was at 67%. There was low capacity for detection, response and data analysis and interpretation of cases (< 60%). CONCLUSION: The surveillance system in the refugee settlements was functional with many performing attributes but with many remaining gaps. There was low capacity for detection, response and data analysis and interpretation in all the refugee settlements. There is need for improvement to align surveillance systems in refugee settlements with the mainstream surveillance system in the country. Implementing Partners should be urged to offer support for surveillance and training of surveillance staff on Integrated Disease Surveillance and Response to maintain effective surveillance functions. Functionalization of district teams ensures achievement of surveillance functions and attributes. Regular supervision of and support to health facility surveillance personnel is essential. Harmonization of reporting improves surveillance functions and attributes and appropriation of funds by government to districts to support refugee settlements is complementary to maintain effective surveillance of priority diseases in the northern and central part of Uganda. BioMed Central 2022-04-08 /pmc/articles/PMC8990451/ /pubmed/35395945 http://dx.doi.org/10.1186/s13031-022-00449-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research in Practice
Ario, Alex Riolexus
Barigye, Emily Atuheire
Nkonwa, Innocent Harbert
Ogwal, Jimmy
Opio, Denis Nixon
Bulage, Lilian
Kadobera, Daniel
Okello, Paul Edward
Kwagonza, Leocadia Warren
Kizito, Susan
Kwesiga, Benon
Kasozi, Julius
Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned
title Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned
title_full Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned
title_fullStr Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned
title_full_unstemmed Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned
title_short Evaluation of public health surveillance systems in refugee settlements in Uganda, 2016–2019: lessons learned
title_sort evaluation of public health surveillance systems in refugee settlements in uganda, 2016–2019: lessons learned
topic Research in Practice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990451/
https://www.ncbi.nlm.nih.gov/pubmed/35395945
http://dx.doi.org/10.1186/s13031-022-00449-x
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