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Measuring health science research and development in Africa: mapping the available data
BACKGROUND: In recent years there have been calls to strengthen health sciences research capacity in African countries. This capacity can contribute to improvements in health, social welfare and poverty reduction through domestic application of research findings; it is increasingly seen as critical...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665309/ https://www.ncbi.nlm.nih.gov/pubmed/34895277 http://dx.doi.org/10.1186/s12961-021-00778-y |
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author | Wenham, Clare Wouters, Olivier Jones, Catherine Juma, Pamela A. Mijumbi-Deve, Rhona M. Sobngwi-Tambekou, Joëlle L. Parkhurst, Justin |
author_facet | Wenham, Clare Wouters, Olivier Jones, Catherine Juma, Pamela A. Mijumbi-Deve, Rhona M. Sobngwi-Tambekou, Joëlle L. Parkhurst, Justin |
author_sort | Wenham, Clare |
collection | PubMed |
description | BACKGROUND: In recent years there have been calls to strengthen health sciences research capacity in African countries. This capacity can contribute to improvements in health, social welfare and poverty reduction through domestic application of research findings; it is increasingly seen as critical to pandemic preparedness and response. Developing research infrastructure and performance may reduce national economies’ reliance on primary commodity and agricultural production, as countries strive to develop knowledge-based economies to help drive macroeconomic growth. Yet efforts to date to understand health sciences research capacity are limited to output metrics of journal citations and publications, failing to reflect the complexity of the health sciences research landscape in many settings. METHODS: We map and assess current capacity for health sciences research across all 54 countries of Africa by collecting a range of available data. This included structural indicators (research institutions and research funding), process indicators (clinical trial infrastructures, intellectual property rights and regulatory capacities) and output indicators (publications and citations). RESULTS: While there are some countries which perform well across the range of indicators used, for most countries the results are varied—suggesting high relative performance in some indicators, but lower in others. Missing data for key measures of capacity or performance is also a key concern. Taken as a whole, existing data suggest a nuanced view of the current health sciences research landscape on the African continent. CONCLUSION: Mapping existing data may enable governments and international organizations to identify where gaps in health sciences research capacity lie, particularly in comparison to other countries in the region. It also highlights gaps where more data are needed. These data can help to inform investment priorities and future system needs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-021-00778-y. |
format | Online Article Text |
id | pubmed-8665309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86653092021-12-13 Measuring health science research and development in Africa: mapping the available data Wenham, Clare Wouters, Olivier Jones, Catherine Juma, Pamela A. Mijumbi-Deve, Rhona M. Sobngwi-Tambekou, Joëlle L. Parkhurst, Justin Health Res Policy Syst Research BACKGROUND: In recent years there have been calls to strengthen health sciences research capacity in African countries. This capacity can contribute to improvements in health, social welfare and poverty reduction through domestic application of research findings; it is increasingly seen as critical to pandemic preparedness and response. Developing research infrastructure and performance may reduce national economies’ reliance on primary commodity and agricultural production, as countries strive to develop knowledge-based economies to help drive macroeconomic growth. Yet efforts to date to understand health sciences research capacity are limited to output metrics of journal citations and publications, failing to reflect the complexity of the health sciences research landscape in many settings. METHODS: We map and assess current capacity for health sciences research across all 54 countries of Africa by collecting a range of available data. This included structural indicators (research institutions and research funding), process indicators (clinical trial infrastructures, intellectual property rights and regulatory capacities) and output indicators (publications and citations). RESULTS: While there are some countries which perform well across the range of indicators used, for most countries the results are varied—suggesting high relative performance in some indicators, but lower in others. Missing data for key measures of capacity or performance is also a key concern. Taken as a whole, existing data suggest a nuanced view of the current health sciences research landscape on the African continent. CONCLUSION: Mapping existing data may enable governments and international organizations to identify where gaps in health sciences research capacity lie, particularly in comparison to other countries in the region. It also highlights gaps where more data are needed. These data can help to inform investment priorities and future system needs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12961-021-00778-y. BioMed Central 2021-12-11 /pmc/articles/PMC8665309/ /pubmed/34895277 http://dx.doi.org/10.1186/s12961-021-00778-y Text en © The Author(s) 2021 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 Wenham, Clare Wouters, Olivier Jones, Catherine Juma, Pamela A. Mijumbi-Deve, Rhona M. Sobngwi-Tambekou, Joëlle L. Parkhurst, Justin Measuring health science research and development in Africa: mapping the available data |
title | Measuring health science research and development in Africa: mapping the available data |
title_full | Measuring health science research and development in Africa: mapping the available data |
title_fullStr | Measuring health science research and development in Africa: mapping the available data |
title_full_unstemmed | Measuring health science research and development in Africa: mapping the available data |
title_short | Measuring health science research and development in Africa: mapping the available data |
title_sort | measuring health science research and development in africa: mapping the available data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665309/ https://www.ncbi.nlm.nih.gov/pubmed/34895277 http://dx.doi.org/10.1186/s12961-021-00778-y |
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