African Rigorous Innovative Stroke Epidemiological Surveillance: Protocol for a Community-Based Mobile-Health Study

Neuroepidemiology. 2022;56(1):17-24. doi: 10.1159/000518885. Epub 2021 Nov 25.

Abstract

Despite projections of stroke being a leading cause of mortality in Africa, reliable estimates of stroke burden on the continent using rigorous methods are not available. We aimed to implement a mobile-Health community-based interactive Stroke Information and Surveillance System to sustainably measure stroke burden and improve stroke health literacy and outcomes in urban and rural sites in Nigeria. African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES) is an observational cohort study, which will be conducted in urban (Ibadan North LGA Ward 3) and rural (Ibarapa Central LGA) sites with a combined base population of over 80,000 people. The study will use a consultative approach to establish an mHealth-based Stroke Information and Surveillance System comprising a Stroke Alert System and a Stroke Finding System. These systems will enable the community to report stroke events and the research team/health workers find stroke cases using phone calls, short message service, and Voice Over Internet Protocols (VoIP). We will update community household data and geo-locate all households. Over the 5 years of the study, the system will collect information on stroke events and educate the community about this disease. Reported stroke cases will be clinically adjudicated at home and in prespecified health facilities. Baseline and endline community surveys will be conducted to assess stroke occurrence and other important study variables. The proportion of strokes alerted and found will be determined over the study period. Focus group discussions and key informant interviews will be conducted to understand community stroke literacy and perspectives. The study will also assess any impact of these efforts on time from stroke onset to referral, community uptake of orthodox health services for stroke patients. ARISES is anticipated to establish proof of concept about using mHealth for stroke surveillance in Africa. The potential impact of the SISS on improving patient outcomes will also be determined.

Keywords: Africa; Prevalence; Stroke; Surveillance; mHealth.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Nigeria / epidemiology
  • Observational Studies as Topic
  • Rural Population
  • Stroke* / epidemiology
  • Surveys and Questionnaires
  • Telemedicine* / methods