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Journal Article Ppublish 2 citations

PubMed: 37487320 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107265

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

J Stroke Cerebrovasc Dis 32(9):107265

Authors: Fred Stephen Sarfo, Reginald Obiako, Michelle Nichols, Joshua Odunayo Akinyemi, Adekunle Fakunle, Onoja Akpa, Oyedunni Arulogun, Rufus Akinyemi, Carolyn Jenkins, Bruce Ovbiagele, Mayowa Owolabi

Affiliations

  • Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
  • Department of Medicine, Ahmadu Bello University, Zaria, Nigeria.
  • College of Nursing, Medical University of South Carolina, South Carolina, USA.
  • Department of Epidemiology and Medical Statistics, University of Ibadan, Nigeria.
  • Department of Public Health, College of Health Sciences, Osun State University, Osogbo, Nigeria.
  • Department of Health Promotion and Education, University of Ibadan, Nigeria.
  • Department of Public Health, College of Health Sciences, Osun State University, Osogbo, Nigeria; Department of Medicine, Federal Medical Centre, Abeokuta, Nigeria.
  • Weill Institute for Neurosciences, School of Medicine, University of California San-Francisco, USA.
  • 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.

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.

MeSH

Stroke, Risk Assessment, Cerebrovascular Disorders

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