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Applied statistical training to strengthen analysis and health research capacity in Rwanda

BACKGROUND: To guide efficient investment of limited health resources in sub-Saharan Africa, local researchers need to be involved in, and guide, health system and policy research. While extensive survey and census data are available to health researchers and program officers in resource-limited cou...

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Autores principales: Thomson, Dana R., Semakula, Muhammed, Hirschhorn, Lisa R., Murray, Megan, Ndahindwa, Vedaste, Manzi, Anatole, Mukabutera, Assumpta, Karema, Corine, Condo, Jeanine, Hedt-Gauthier, Bethany
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041513/
https://www.ncbi.nlm.nih.gov/pubmed/27681517
http://dx.doi.org/10.1186/s12961-016-0144-x
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author Thomson, Dana R.
Semakula, Muhammed
Hirschhorn, Lisa R.
Murray, Megan
Ndahindwa, Vedaste
Manzi, Anatole
Mukabutera, Assumpta
Karema, Corine
Condo, Jeanine
Hedt-Gauthier, Bethany
author_facet Thomson, Dana R.
Semakula, Muhammed
Hirschhorn, Lisa R.
Murray, Megan
Ndahindwa, Vedaste
Manzi, Anatole
Mukabutera, Assumpta
Karema, Corine
Condo, Jeanine
Hedt-Gauthier, Bethany
author_sort Thomson, Dana R.
collection PubMed
description BACKGROUND: To guide efficient investment of limited health resources in sub-Saharan Africa, local researchers need to be involved in, and guide, health system and policy research. While extensive survey and census data are available to health researchers and program officers in resource-limited countries, local involvement and leadership in research is limited due to inadequate experience, lack of dedicated research time and weak interagency connections, among other challenges. Many research-strengthening initiatives host prolonged fellowships out-of-country, yet their approaches have not been evaluated for effectiveness in involvement and development of local leadership in research. METHODS: We developed, implemented and evaluated a multi-month, deliverable-driven, survey analysis training based in Rwanda to strengthen skills of five local research leaders, 15 statisticians, and a PhD candidate. Research leaders applied with a specific research question relevant to country challenges and committed to leading an analysis to publication. Statisticians with prerequisite statistical training and experience with a statistical software applied to participate in class-based trainings and complete an assigned analysis. Both statisticians and research leaders were provided ongoing in-country mentoring for analysis and manuscript writing. RESULTS: Participants reported a high level of skill, knowledge and collaborator development from class-based trainings and out-of-class mentorship that were sustained 1 year later. Five of six manuscripts were authored by multi-institution teams and submitted to international peer-reviewed scientific journals, and three-quarters of the participants mentored others in survey data analysis or conducted an additional survey analysis in the year following the training. CONCLUSIONS: Our model was effective in utilizing existing survey data and strengthening skills among full-time working professionals without disrupting ongoing work commitments and using few resources. Critical to our success were a transparent, robust application process and time limited training supplemented by ongoing, in-country mentoring toward manuscript deliverables that were led by Rwanda’s health research leaders.
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spelling pubmed-50415132016-10-05 Applied statistical training to strengthen analysis and health research capacity in Rwanda Thomson, Dana R. Semakula, Muhammed Hirschhorn, Lisa R. Murray, Megan Ndahindwa, Vedaste Manzi, Anatole Mukabutera, Assumpta Karema, Corine Condo, Jeanine Hedt-Gauthier, Bethany Health Res Policy Syst Research BACKGROUND: To guide efficient investment of limited health resources in sub-Saharan Africa, local researchers need to be involved in, and guide, health system and policy research. While extensive survey and census data are available to health researchers and program officers in resource-limited countries, local involvement and leadership in research is limited due to inadequate experience, lack of dedicated research time and weak interagency connections, among other challenges. Many research-strengthening initiatives host prolonged fellowships out-of-country, yet their approaches have not been evaluated for effectiveness in involvement and development of local leadership in research. METHODS: We developed, implemented and evaluated a multi-month, deliverable-driven, survey analysis training based in Rwanda to strengthen skills of five local research leaders, 15 statisticians, and a PhD candidate. Research leaders applied with a specific research question relevant to country challenges and committed to leading an analysis to publication. Statisticians with prerequisite statistical training and experience with a statistical software applied to participate in class-based trainings and complete an assigned analysis. Both statisticians and research leaders were provided ongoing in-country mentoring for analysis and manuscript writing. RESULTS: Participants reported a high level of skill, knowledge and collaborator development from class-based trainings and out-of-class mentorship that were sustained 1 year later. Five of six manuscripts were authored by multi-institution teams and submitted to international peer-reviewed scientific journals, and three-quarters of the participants mentored others in survey data analysis or conducted an additional survey analysis in the year following the training. CONCLUSIONS: Our model was effective in utilizing existing survey data and strengthening skills among full-time working professionals without disrupting ongoing work commitments and using few resources. Critical to our success were a transparent, robust application process and time limited training supplemented by ongoing, in-country mentoring toward manuscript deliverables that were led by Rwanda’s health research leaders. BioMed Central 2016-09-29 /pmc/articles/PMC5041513/ /pubmed/27681517 http://dx.doi.org/10.1186/s12961-016-0144-x Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Thomson, Dana R.
Semakula, Muhammed
Hirschhorn, Lisa R.
Murray, Megan
Ndahindwa, Vedaste
Manzi, Anatole
Mukabutera, Assumpta
Karema, Corine
Condo, Jeanine
Hedt-Gauthier, Bethany
Applied statistical training to strengthen analysis and health research capacity in Rwanda
title Applied statistical training to strengthen analysis and health research capacity in Rwanda
title_full Applied statistical training to strengthen analysis and health research capacity in Rwanda
title_fullStr Applied statistical training to strengthen analysis and health research capacity in Rwanda
title_full_unstemmed Applied statistical training to strengthen analysis and health research capacity in Rwanda
title_short Applied statistical training to strengthen analysis and health research capacity in Rwanda
title_sort applied statistical training to strengthen analysis and health research capacity in rwanda
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5041513/
https://www.ncbi.nlm.nih.gov/pubmed/27681517
http://dx.doi.org/10.1186/s12961-016-0144-x
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