Evidence map›Paper›PMID 37487320›Full record

ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2023

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

Fred Stephen Sarfo, Reginald Obiako, Michelle Nichols, Joshua Odunayo Akinyemi, Adekunle Fakunle, Onoja Akpa, Oyedunni Arulogun, Rufus Akinyemi, Carolyn Jenkins, Bruce Ovbiagele and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 3 countries.

Fred Stephen SarfoDepartment of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Reginald ObiakoDepartment of Medicine, Ahmadu Bello University, Zaria, Nigeria.
Michelle NicholsCollege of Nursing, Medical University of South Carolina, South Carolina, USA.
Joshua Odunayo AkinyemiDepartment of Epidemiology and Medical Statistics, University of Ibadan, Nigeria.
Adekunle FakunleDepartment of Public Health, College of Health Sciences, Osun State University, Osogbo, Nigeria.
Onoja AkpaDepartment of Epidemiology and Medical Statistics, University of Ibadan, Nigeria.
Oyedunni ArulogunDepartment of Health Promotion and Education, University of Ibadan, Nigeria.
Rufus AkinyemiDepartment of Public Health, College of Health Sciences, Osun State University, Osogbo, Nigeria; Department of Medicine, Federal Medical Centre, Abeokuta, Nigeria.
Carolyn JenkinsCollege of Nursing, Medical University of South Carolina, South Carolina, USA.
Bruce OvbiageleWeill Institute for Neurosciences, School of Medicine, University of California San-Francisco, USA.
Mayowa OwolabiCenter 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: mayowaowolabi@yahoo.com.
University of Ibadan · NGMedical University of South Carolina · USOsun State University · NGAhmadu Bello University · NGKwame Nkrumah University of Science and Technology · GHUniversity of California, San Francisco · US

Funding

H3Africa Administrative Coordinating Centre: Enabling and Supporting Genomics and Health Research Capacity Building in AfricaU24HG009780 · NHGRI · UNIVERSITY OF CAPE TOWN · PI SKELTON, MICHELLE · 2017 to 2022
$4.8M
Stroke Investigative Research & Educational Network (SIREN)U54HG007479 · NHGRI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2013 to 2017
$4.2M
CNV And Stroke (CaNVAS)R01NS114045 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI COLE, JOHN W. · 2020 to 2024
$2.6M
African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES)R01NS115944 · NINDS · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2020 to 2025
$2.2M
Systematic Investigation of Blacks with Stroke - Genomics (SIBS-Genomics) StudyR01NS107900 · NINDS · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI OVBIAGELE, BRUCE, OWOLABI, MAYOWA OJO · 2018 to 2021
$1.8M
Training Africans to Lead and Execute Neurological Trials & Studies (TALENTS)D43TW012030 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OVBIAGELE, BRUCE · 2021 to 2025
$1.2M
Growing Data-science Research in Africa to Stimulate Progress (GRASP)UE5HL172183 · NHLBI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI FATUMO, SEGUN, OVBIAGELE, BRUCE · 2023 to 2025
$568k
African Neurobiobank for Precision Stroke Medicine - (ELSI) ProjectU01HG010273 · NHGRI · COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN · PI AKINYEMI, RUFUS OLUSOLA, ARULOGUN, OYEDUNNI SOLA · 2018 to 2022
$512k
Sub-Saharan Africa Conference on Stroke (SSACS) ConferenceR13NS115395 · NINDS · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI OVBIAGELE, BRUCE · 2020 to 2020
$50k
FIC NIH HHS D43 TW012030NHGRI NIH HHS U01 HG010273NHGRI NIH HHS U24 HG009780NHGRI NIH HHS U54 HG007479NHLBI NIH HHS UE5 HL172183NINDS NIH HHS R01 NS107900NINDS NIH HHS R01 NS114045NINDS NIH HHS R01 NS115944NINDS NIH HHS R13 NS115395
6 · The paper itself

Abstract

objectivesTo 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

methodsA 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.

resultsThe 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.

conclusionsCommunity 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.

Indexed as

StrokeTelemedicineAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNigeriaRisk AssessmentPerspectivesPreferencesRisk assessmentStroke preventionSub-Saharan African

Identifiers

PMID37487320
PMCPMC10715721
OpenAlexW4385230513

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.