Stroke Investigative Research and Education Network: Community Engagement and Outreach Within Phenomics Core

Carolyn Jenkins, Oyedunni Sola Arulogun, Arti Singh, Aliyu T. Mande, Eric Ajayi, Calys Tagoe Benedict, Bruce Ovbiagele, Daniel T. Lackland, Fred Stephen Sarfo, Rufus Akinyemi, Albert Akpalu, Reginald Obiako, Enzinne Sylvia Melikam, Ruth Laryea, Vincent Shidali, Kwamena Sagoe, Philip Ibinaiye, Adekunie Gregory Fakunle, Lukman F. Owolabi, Mayowa O. Owolabi

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Stroke is the leading cause of neurological hospital admissions in sub-Saharan Africa (SSA) and the second leading cause of death globally. The Stroke Investigative Research and Education Network seeks to comprehensively characterize the genomic, sociocultural, economic, and behavioral risk factors for stroke and to build effective teams for research to address and decrease the burden of stroke and other noncommunicable diseases in SSA. One of the first steps to address this goal is to effectively engage the communities that suffer the high burden of disease. The purpose of this article is to describe plans to elucidate information about knowledge, attitudes, beliefs, and practices about stroke and genomics from patients, caregivers, and local leaders, to recruit participation in research activities and dissemination of ongoing results, as well as to facilitate research uptake and impact within the broader communities of scientists, health professionals, policy makers, and others. We describe the (a) study sites and their communities; (b) plans for community advisory boards, focus groups, and surveys; (c) methods for data management in REDCap database; (d) analyses of qualitative data; (e) evaluation of community and public engagement across multiple sites and research teams in SSA and the United States; (f) use of RE-AIM for presentation of evaluation data; and (g) community indicators of success. This is the first of its kind public outreach engagement initiative to evaluate stroke and genomics in SSA, and has implications as a model for assessment in other high–stroke risk populations.

Original languageEnglish
Pages (from-to)82S-92S
JournalHealth Education and Behavior
Volume43
DOIs
Publication statusPublished - 2015

Keywords

  • REDCap database
  • SSA
  • community advisory boards
  • community engagement
  • focus groups
  • genomics
  • stroke
  • sub-Saharan Africa

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