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Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health”
Data is an essential tool for valid and reliable healthcare management. Access to high-quality data is critical to ensuring the early identification of problems, the design of appropriate interventions, and the effective implementation and evaluation of health intervention outcomes. During the COVID...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433535/ https://www.ncbi.nlm.nih.gov/pubmed/37587461 http://dx.doi.org/10.1186/s12919-023-00270-1 |
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author | Tuladhar, Sabita Mwamelo, Kimothy Manyama, Christina Obuobi, Dorothy Antunes, Mario Gashaw, Mulatu Vogel, Monica Shrinivasan, Harinee Mugambwa, Kashung Annie Korley, Isabella Froeschl, Guenter Hoffaeller, Lisa Scholze, Sarah |
author_facet | Tuladhar, Sabita Mwamelo, Kimothy Manyama, Christina Obuobi, Dorothy Antunes, Mario Gashaw, Mulatu Vogel, Monica Shrinivasan, Harinee Mugambwa, Kashung Annie Korley, Isabella Froeschl, Guenter Hoffaeller, Lisa Scholze, Sarah |
author_sort | Tuladhar, Sabita |
collection | PubMed |
description | Data is an essential tool for valid and reliable healthcare management. Access to high-quality data is critical to ensuring the early identification of problems, the design of appropriate interventions, and the effective implementation and evaluation of health intervention outcomes. During the COVID-19 pandemic, the need for strong information systems and the value of producing high-quality data for timely response and tracking resources and progress have been very evident across countries. The availability of and access to high-quality data at all levels of the health systems of low and middle-income countries is a challenge, which is exacerbated by multiple parallels and poorly integrated data sources, a lack of data-sharing standards and policy frameworks, their weak enforcement, and inadequate skills among those handling data. Completeness, accuracy, integrity, validity, and timeliness are challenges to data availability and use. “Big Data” is a necessity and a challenge in the current complexities of health systems. In transitioning to digital systems with proper data standards and policy frameworks for privacy protection, data literacy, ownership, and data use at all levels of the health system, skill enhancement of the staff is critical. Adequate funding for strengthening routine information systems and periodic surveys and research, and reciprocal partnerships between high-income countries and low- and middle-income countries in data generation and use, should be prioritized by the low- and middle-income countries to foster evidence-based healthcare practices. |
format | Online Article Text |
id | pubmed-10433535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104335352023-08-18 Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health” Tuladhar, Sabita Mwamelo, Kimothy Manyama, Christina Obuobi, Dorothy Antunes, Mario Gashaw, Mulatu Vogel, Monica Shrinivasan, Harinee Mugambwa, Kashung Annie Korley, Isabella Froeschl, Guenter Hoffaeller, Lisa Scholze, Sarah BMC Proc Proceedings Data is an essential tool for valid and reliable healthcare management. Access to high-quality data is critical to ensuring the early identification of problems, the design of appropriate interventions, and the effective implementation and evaluation of health intervention outcomes. During the COVID-19 pandemic, the need for strong information systems and the value of producing high-quality data for timely response and tracking resources and progress have been very evident across countries. The availability of and access to high-quality data at all levels of the health systems of low and middle-income countries is a challenge, which is exacerbated by multiple parallels and poorly integrated data sources, a lack of data-sharing standards and policy frameworks, their weak enforcement, and inadequate skills among those handling data. Completeness, accuracy, integrity, validity, and timeliness are challenges to data availability and use. “Big Data” is a necessity and a challenge in the current complexities of health systems. In transitioning to digital systems with proper data standards and policy frameworks for privacy protection, data literacy, ownership, and data use at all levels of the health system, skill enhancement of the staff is critical. Adequate funding for strengthening routine information systems and periodic surveys and research, and reciprocal partnerships between high-income countries and low- and middle-income countries in data generation and use, should be prioritized by the low- and middle-income countries to foster evidence-based healthcare practices. BioMed Central 2023-08-17 /pmc/articles/PMC10433535/ /pubmed/37587461 http://dx.doi.org/10.1186/s12919-023-00270-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Proceedings Tuladhar, Sabita Mwamelo, Kimothy Manyama, Christina Obuobi, Dorothy Antunes, Mario Gashaw, Mulatu Vogel, Monica Shrinivasan, Harinee Mugambwa, Kashung Annie Korley, Isabella Froeschl, Guenter Hoffaeller, Lisa Scholze, Sarah Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health” |
title | Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health” |
title_full | Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health” |
title_fullStr | Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health” |
title_full_unstemmed | Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health” |
title_short | Proceedings from the CIHLMU 2022 Symposium: “Availability of and Access to Quality Data in Health” |
title_sort | proceedings from the cihlmu 2022 symposium: “availability of and access to quality data in health” |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433535/ https://www.ncbi.nlm.nih.gov/pubmed/37587461 http://dx.doi.org/10.1186/s12919-023-00270-1 |
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