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A political economy analysis of strengthening health information system in Tanzania
BACKGROUND: Many countries’ health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of accessible and quality health services. However, in some countries such efforts and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617168/ https://www.ncbi.nlm.nih.gov/pubmed/37904121 http://dx.doi.org/10.1186/s12911-023-02319-9 |
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author | Kuwawenaruwa, August Mollel, Henry Machonchoryo, John Matiko Margini, Federica Jaribu, Jennie Binyaruka, Peter |
author_facet | Kuwawenaruwa, August Mollel, Henry Machonchoryo, John Matiko Margini, Federica Jaribu, Jennie Binyaruka, Peter |
author_sort | Kuwawenaruwa, August |
collection | PubMed |
description | BACKGROUND: Many countries’ health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of accessible and quality health services. However, in some countries such efforts and initiatives have led to a complex HMIS ecosystem characterized by multiple and fragmented sub-systems. We undertook an in-depth analysis of the HMIS ecosystem in Tanzania to inform the ongoing initiatives, by understanding the relationship and power differences among stakeholders, as well as drivers and barriers to HMIS investment and strengthening. METHODOLOGY: This was a qualitative research method incorporating data collection through document review and key informant interviews guided by political economy analytical framework. A total of 17 key informant interviews were conducted between April and May 2022. A thematic content analysis was used during data analysis. RESULTS: Good relationship between the government and stakeholders dealing/supporting HMIS ecosystem was noted as there are technical working groups which brings stakeholders together to discuss and harmonize HMIS activities. The ‘need for the data’ has been the driving force toward investment in the HMIS ecosystem. The analysis showed that the government is the main stakeholder within the HMIS ecosystem and responsible for identifying the needs for improvement and has the power to approve or reject systems which are not in line with the government priority as stipulated with the HMIS investment roadmap/strategy. Moreover, partners with long relationship are powerful in influencing HMIS investment decision-making compared to those who are recently coming to support. It was further noted shortage of staff with technical competence, inadequate financial resources, and the development of fact that some of the existing systems have not been developed to their full capacity and have hindered the whole systems’ integration and interoperability exercise of ensuring integration and interoperability of the systems. CONCLUSION: A need-based assessment of staff capacity at the sub-national level is equally important to identify available capabilities and the knowledge gap to strengthen the HMIS ecosystem. Strong coordination of the ideas and resources intended to strengthen the HMIS ecosystem would help to reduce fragmentation. In addition, there is a need to mobilize resources within and outside the country to facilitate the integration and interoperability process smoothly. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-023-02319-9. |
format | Online Article Text |
id | pubmed-10617168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106171682023-11-01 A political economy analysis of strengthening health information system in Tanzania Kuwawenaruwa, August Mollel, Henry Machonchoryo, John Matiko Margini, Federica Jaribu, Jennie Binyaruka, Peter BMC Med Inform Decis Mak Research BACKGROUND: Many countries’ health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of accessible and quality health services. However, in some countries such efforts and initiatives have led to a complex HMIS ecosystem characterized by multiple and fragmented sub-systems. We undertook an in-depth analysis of the HMIS ecosystem in Tanzania to inform the ongoing initiatives, by understanding the relationship and power differences among stakeholders, as well as drivers and barriers to HMIS investment and strengthening. METHODOLOGY: This was a qualitative research method incorporating data collection through document review and key informant interviews guided by political economy analytical framework. A total of 17 key informant interviews were conducted between April and May 2022. A thematic content analysis was used during data analysis. RESULTS: Good relationship between the government and stakeholders dealing/supporting HMIS ecosystem was noted as there are technical working groups which brings stakeholders together to discuss and harmonize HMIS activities. The ‘need for the data’ has been the driving force toward investment in the HMIS ecosystem. The analysis showed that the government is the main stakeholder within the HMIS ecosystem and responsible for identifying the needs for improvement and has the power to approve or reject systems which are not in line with the government priority as stipulated with the HMIS investment roadmap/strategy. Moreover, partners with long relationship are powerful in influencing HMIS investment decision-making compared to those who are recently coming to support. It was further noted shortage of staff with technical competence, inadequate financial resources, and the development of fact that some of the existing systems have not been developed to their full capacity and have hindered the whole systems’ integration and interoperability exercise of ensuring integration and interoperability of the systems. CONCLUSION: A need-based assessment of staff capacity at the sub-national level is equally important to identify available capabilities and the knowledge gap to strengthen the HMIS ecosystem. Strong coordination of the ideas and resources intended to strengthen the HMIS ecosystem would help to reduce fragmentation. In addition, there is a need to mobilize resources within and outside the country to facilitate the integration and interoperability process smoothly. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-023-02319-9. BioMed Central 2023-10-30 /pmc/articles/PMC10617168/ /pubmed/37904121 http://dx.doi.org/10.1186/s12911-023-02319-9 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 | Research Kuwawenaruwa, August Mollel, Henry Machonchoryo, John Matiko Margini, Federica Jaribu, Jennie Binyaruka, Peter A political economy analysis of strengthening health information system in Tanzania |
title | A political economy analysis of strengthening health information system in Tanzania |
title_full | A political economy analysis of strengthening health information system in Tanzania |
title_fullStr | A political economy analysis of strengthening health information system in Tanzania |
title_full_unstemmed | A political economy analysis of strengthening health information system in Tanzania |
title_short | A political economy analysis of strengthening health information system in Tanzania |
title_sort | political economy analysis of strengthening health information system in tanzania |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617168/ https://www.ncbi.nlm.nih.gov/pubmed/37904121 http://dx.doi.org/10.1186/s12911-023-02319-9 |
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