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

Applied statistical training to strengthen analysis and health research capacity in Rwanda
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 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.
1478-4505
1-7
Thomson, Dana R.
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Semakula, Muhammed
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Hirschhorn, Lisa R.
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Murray, Megan
f75bda62-ca34-4f8a-a62c-56663837d170
Ndahindwa, Vedaste
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Manzi, Anatole
ca9f061e-74c3-426d-af1c-35d2b33a99f3
Mukabutera, Assumpta
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Karema, Corine
13fe1c5f-c95a-44f7-97cf-ac227b450863
Condo, Jeanine
d355d5f9-f0cf-48f0-bc06-3d8ad8064493
Hedt-Gauthier, Bethany
899e51e6-e74c-433d-bc11-eea4928f8d5e
Thomson, Dana R.
c6aa22a0-9ee2-4d86-9bd4-b3a8487eb15b
Semakula, Muhammed
0f667e26-6ebd-4376-b27e-6479f23373dc
Hirschhorn, Lisa R.
96039868-c6d2-4ca2-be95-8b46b76d2f8c
Murray, Megan
f75bda62-ca34-4f8a-a62c-56663837d170
Ndahindwa, Vedaste
d498452e-4b7f-4e40-b286-811e8858b01f
Manzi, Anatole
ca9f061e-74c3-426d-af1c-35d2b33a99f3
Mukabutera, Assumpta
4fdb6b2b-dc4e-43e7-a356-feee8ba3a12d
Karema, Corine
13fe1c5f-c95a-44f7-97cf-ac227b450863
Condo, Jeanine
d355d5f9-f0cf-48f0-bc06-3d8ad8064493
Hedt-Gauthier, Bethany
899e51e6-e74c-433d-bc11-eea4928f8d5e

Thomson, Dana R., Semakula, Muhammed and Hirschhorn, Lisa R. et al. (2016) Applied statistical training to strengthen analysis and health research capacity in Rwanda. Health Research Policy and Systems, 14 (1), 1-7. (doi:10.1186/s12961-016-0144-x). (PMID:27681517)

Record type: Article

Abstract

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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More information

Accepted/In Press date: 7 September 2016
e-pub ahead of print date: 29 September 2016
Published date: 29 September 2016
Organisations: Social Statistics & Demography

Identifiers

Local EPrints ID: 404204
URI: http://eprints.soton.ac.uk/id/eprint/404204
ISSN: 1478-4505
PURE UUID: 0d5e4a76-fb60-497a-ad3c-6f3f1149dd46
ORCID for Dana R. Thomson: ORCID iD orcid.org/0000-0002-9507-9123

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Date deposited: 03 Jan 2017 15:39
Last modified: 15 Mar 2024 04:01

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Contributors

Author: Dana R. Thomson ORCID iD
Author: Muhammed Semakula
Author: Lisa R. Hirschhorn
Author: Megan Murray
Author: Vedaste Ndahindwa
Author: Anatole Manzi
Author: Assumpta Mukabutera
Author: Corine Karema
Author: Jeanine Condo
Author: Bethany Hedt-Gauthier

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