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The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru
Objectives: We aimed to understand the information architecture and degree of integration of mortality surveillance systems in Ghana and Peru. Methods: We conducted a cross-sectional study using a combination of document review and unstructured interviews to describe and analyse the sub-systems coll...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794598/ https://www.ncbi.nlm.nih.gov/pubmed/36589476 http://dx.doi.org/10.3389/ijph.2022.1604721 |
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author | Cobos Muñoz, Daniel Sant Fruchtman, Carmen Miki, Janet Vargas-Herrera, Javier Woode, Sarah Dake, Fidelia A. A. Clapham, Benjamin De Savigny, Don Botchway, Emmanuel |
author_facet | Cobos Muñoz, Daniel Sant Fruchtman, Carmen Miki, Janet Vargas-Herrera, Javier Woode, Sarah Dake, Fidelia A. A. Clapham, Benjamin De Savigny, Don Botchway, Emmanuel |
author_sort | Cobos Muñoz, Daniel |
collection | PubMed |
description | Objectives: We aimed to understand the information architecture and degree of integration of mortality surveillance systems in Ghana and Peru. Methods: We conducted a cross-sectional study using a combination of document review and unstructured interviews to describe and analyse the sub-systems collecting mortality data. Results: We identified 18 and 16 information subsystems with independent databases capturing death events in Peru and Ghana respectively. The mortality information architecture was highly fragmented with a multiplicity of unconnected data silos and with formal and informal data collection systems. Conclusion: Reliable and timely information about who dies where and from what underlying cause is essential to reporting progress on Sustainable Development Goals, ensuring policies are responding to population health dynamics, and understanding the impact of threats and events like the COVID-19 pandemic. Integrating systems hosted in different parts of government remains a challenge for countries and limits the ability of statistics systems to produce accurate and timely information. Our study exposes multiple opportunities to improve the design of mortality surveillance systems by integrating existing subsystems currently operating in silos. |
format | Online Article Text |
id | pubmed-9794598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97945982022-12-29 The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru Cobos Muñoz, Daniel Sant Fruchtman, Carmen Miki, Janet Vargas-Herrera, Javier Woode, Sarah Dake, Fidelia A. A. Clapham, Benjamin De Savigny, Don Botchway, Emmanuel Int J Public Health Public Health Archive Objectives: We aimed to understand the information architecture and degree of integration of mortality surveillance systems in Ghana and Peru. Methods: We conducted a cross-sectional study using a combination of document review and unstructured interviews to describe and analyse the sub-systems collecting mortality data. Results: We identified 18 and 16 information subsystems with independent databases capturing death events in Peru and Ghana respectively. The mortality information architecture was highly fragmented with a multiplicity of unconnected data silos and with formal and informal data collection systems. Conclusion: Reliable and timely information about who dies where and from what underlying cause is essential to reporting progress on Sustainable Development Goals, ensuring policies are responding to population health dynamics, and understanding the impact of threats and events like the COVID-19 pandemic. Integrating systems hosted in different parts of government remains a challenge for countries and limits the ability of statistics systems to produce accurate and timely information. Our study exposes multiple opportunities to improve the design of mortality surveillance systems by integrating existing subsystems currently operating in silos. Frontiers Media S.A. 2022-12-14 /pmc/articles/PMC9794598/ /pubmed/36589476 http://dx.doi.org/10.3389/ijph.2022.1604721 Text en Copyright © 2022 Cobos Muñoz, Sant Fruchtman, Miki, Vargas-Herrera, Woode, Dake, Clapham, De Savigny and Botchway. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Archive Cobos Muñoz, Daniel Sant Fruchtman, Carmen Miki, Janet Vargas-Herrera, Javier Woode, Sarah Dake, Fidelia A. A. Clapham, Benjamin De Savigny, Don Botchway, Emmanuel The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru |
title | The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru |
title_full | The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru |
title_fullStr | The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru |
title_full_unstemmed | The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru |
title_short | The Need to Address Fragmentation and Silos in Mortality Information Systems: The Case of Ghana and Peru |
title_sort | need to address fragmentation and silos in mortality information systems: the case of ghana and peru |
topic | Public Health Archive |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794598/ https://www.ncbi.nlm.nih.gov/pubmed/36589476 http://dx.doi.org/10.3389/ijph.2022.1604721 |
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