Knowledge and perspectives of community members on risk assessment for stroke prevention using mobile health approaches in Nigeria.

J Stroke Cerebrovasc Dis

Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Nigeria; Department of Medicine, University College Hospital, Ibadan, Nigeria; Lebanese American University of Beirut, Lebanon; Blossom Specialist Medical Center, Ibadan, Nigeria. Electronic address:

Published: September 2023

AI Article Synopsis

  • A study aimed to evaluate community-dwelling adults in Nigeria regarding their knowledge of stroke risks and their willingness to use mobile health (mHealth) technology to assess those risks.
  • Conducted with 486 participants, it revealed 84% were interested in knowing their stroke risk; however, only 29.6% had previously had their risk assessed, with a preference for immediate risk information over longer-term predictions.
  • The findings suggest a strong interest in using mHealth applications for stroke risk assessment, highlighting the need for clinical trials to explore this as a prevention strategy in sub-Saharan Africa.

Article Abstract

Objectives: To assess the knowledge of community dwelling adults on stroke risk and their willingness to use mobile health (mHealth) technology in assessing their stroke risk.

Materials And Methods: A cross-sectional study was conducted among adults (≥18 years old) using survey questionnaires designed by neurologists and health promotion experts and administered by trained study staff. Logistic regression models were used to assess factors associated with receptivity toward knowing individual stroke risk score and willingness to use a mobile application (App) to assess stroke risk.

Results: The survey was administered to 486 participants in Nigeria, with a mean age of 47.4 ± 15.5 years, comprising 53.5% females. Up to 84% of participants wanted to know their risk for developing stroke but only 29.6% of respondents had ever previously had their stroke risk assessed. Factors associated with willingness to know stroke risk were age [aOR (95% CI): 0.97 (0.95 - 0.99)], and Hausa tribe [16.68 (2.16 - 128.92)]. Up to 66% of participants wanted to know their immediate risk of stroke, compared with 6.6% and 2.1% who wanted to know their 5-year or 10-year future stroke risks respectively. Regarding locations, participants preferred stroke risk assessment to be performed at a health facility, at home by health professional, on their own using mHealth (stroke risk calculator application), or at communal gatherings (decreasing order). About 70% specifically wished to learn about their stroke risk via an mHealth application.

Conclusions: Community dwelling Nigerians wanted to know their immediate risk of stroke using digital platforms, such as a mobile phone stroke risk calculator application. Clinical trials are needed to assess the effectiveness of such a strategy for primary prevention of stroke in sub-Saharan African communities.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10715721PMC
http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2023.107265DOI Listing

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