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Research ArticleOriginal Articles
Open Access

Public Awareness of Ischemic Stroke in Medina city, Kingdom of Saudi Arabia

Majed M. Alluqmani, Nada R. Almshhen, Rawan A. Alotaibi, Omaymah Y. Aljardi and Heba M. Zahid
Neurosciences Journal April 2021, 26 (2) 134-140; DOI: https://doi.org/10.17712/nsj.2021.2.20200105
Majed M. Alluqmani
From the Department of Internal Medicine (Alluqmani), College of Medicine, from Taibah College of Medicine (Almshhen, Alotaibi, Aljardi), from College of Applied Medical Sciences (Zahid), Department of Medical Laboratories Technology, Taibah University, Medina, Kingdom of Saudi Arabia.
MD, FRCPC
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Nada R. Almshhen
From the Department of Internal Medicine (Alluqmani), College of Medicine, from Taibah College of Medicine (Almshhen, Alotaibi, Aljardi), from College of Applied Medical Sciences (Zahid), Department of Medical Laboratories Technology, Taibah University, Medina, Kingdom of Saudi Arabia.
MBBS
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Rawan A. Alotaibi
From the Department of Internal Medicine (Alluqmani), College of Medicine, from Taibah College of Medicine (Almshhen, Alotaibi, Aljardi), from College of Applied Medical Sciences (Zahid), Department of Medical Laboratories Technology, Taibah University, Medina, Kingdom of Saudi Arabia.
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Omaymah Y. Aljardi
From the Department of Internal Medicine (Alluqmani), College of Medicine, from Taibah College of Medicine (Almshhen, Alotaibi, Aljardi), from College of Applied Medical Sciences (Zahid), Department of Medical Laboratories Technology, Taibah University, Medina, Kingdom of Saudi Arabia.
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Heba M. Zahid
From the Department of Internal Medicine (Alluqmani), College of Medicine, from Taibah College of Medicine (Almshhen, Alotaibi, Aljardi), from College of Applied Medical Sciences (Zahid), Department of Medical Laboratories Technology, Taibah University, Medina, Kingdom of Saudi Arabia.
PhD
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Article Figures & Data

Tables

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    Table 1

    - Demographic characteristics of respondents.

    VariablesABChi-squared test (p-value)
    n (%)
    n (%)298 (57.4)221 (42.6)
    Gender
    Male113 (53.6)98 (46.4)2.17 (0.14)
    Female185 (60)123 (40) 
    Age, years
    <40260 (57)196 (43)1.004 (0.65)
    ≥4038 (60.3)25 (39.7) 
    Educational Level
    High school and less60 (49.5)61 (50.4)3.93 (0.05)
    Higher education238 (59.8)160 (40.2) 
    Occupation
    Unemployed122 (59.22)84 (40.77)27.5 (< 0.001)
    Non-medical field student46 (51.11)44 (48.88) 
    Medical field student32 (88.88)4 (11.11) 
    Non-health care professional68 (46.57)78 (53.42)
    Health care professional30 (73.17)11 (26.82)
    Relative’s previous diagnosis
    Yes61 (59.8)41 (40.2)0.296 (0.6)
    No237 (56.83)180 (43.17) 
    • A - recognized stroke definition, B - did not recognize stroke definition

    • View popup
    Table 2

    - Knowledge of stroke signs and correct behavior with suspected stroke.

    VariablesABTotal 519 (%)
    n (%)298 (57.4)221 (42.6)
    Stroke Signs
    Mouth deviation145 (48.65)70 (31.67)215 (41.42)*
    Speech difficulty217 (72.81)114 (51.58)331 (63.77)*
    Focal weakness168 (56.37)79 (35.74)247 (47.6)*
    Chest pain49 (16.44)56 (25.33)105 (20.23)*
    Shortness of breath108 (36.24)72 (32.57)180 (34.68)*
    Identified ≥ two stroke signs with ≤ one mistake155 (52.01)66 (29.86)221 (42.58)
    Behavior with suspected stroke
    Go to ER264 (88.6)182 (82.35)446 (85.93)
    Call 93731 (10.4)35 (15.84)66 (12.72)
    Stay at home0 (0.00)4 (1.8)4 (1.8)
    Use alternative medicine1 (0.33)0 (0)1 (0.33)
    Go to the pharmacy2 (0.67)0 (0)2 (0.67)
    Awareness of blood clot-dissolving drugs85 (28.52)35 (15.84)120 (23.12)
    Knowledge of correct timeframe in which to administer blood clot-dissolving drugs44/85 (51.76)14/35 (40)58/120 (48.33)
    • A - recognized stroke definition, B - did not recognize stroke definition,

    • ↵* Multiple choice questions, not=100%

    • View popup
    Table 3

    - Knowledge of stroke risk factors.

    VariablesABTotal 519 (%)*
    n (%)298 (57.4)221(42.6) 
    Hypertension222 (74.5)118 (53.4)340 (65.5)
    Diabetes69 (23.15)40 (18.1)109 (21)
    Smoking110 (36.9)61 (27.6)171 (32.94)
    Dyslipidemia116 (38.9)59 (26.69)175 (33.72)
    Obesity69 (23.15)36 (16.29)105 (20.23)
    Stress138 (46.3)74 (33.48)212 (40.85)
    Heart disease125 (41.94)81 (36.65)206 (39.7)
    Asthma15 (5.03)8 (3.62)23 (4.43)
    Iron deficiency anemia45 (15.1)20 (9.05)65 (12.52)
    Identified
    ≥ 4 stroke risk factors with ≤ 1 mistake116 (38.92)54 (24.43)170 (32.75)
    • A - recognized stroke definition, B - did not recognize stroke definition,

    • ↵* Multiple choice questions, thus it does not constitute 100%

    • View popup
    Table 4

    - Knowledge of post-discharge requirements.

    VariablesABTotal 519 (%)*
    298 (57.4)221 (42.6%)
    Control chronic disease170 (57.04)80 (36.2)250 (48.17)
    Smoking cessation140 (47)73 (33.03)213 (41.04)
    Physiotherapy132 (44.3)63 (28.5)195 (37.57)
    Walking172 (57.7)90 (40.72)262 (50.48)
    Treat iron-deficiency anemia48 (16.1)26 (11.76)74 (14.26)
    Cauterization19 (6.37)12 (5.43)31 (6)
    Identified
    ≥3 post-discharge requirements with ≤ 1 mistake135 (45.30)51 (23.07)186 (35.84)
    • A - recognized stroke definition, B - did not recognize stroke definition,

    • ↵* Multiple choice questions, thus it does not constitute 100%

    • View popup
    Table 5

    - Source of information.

    VariablesABTotal 519 (%)*
    298 (57.4)221 (42.6)
    Internet196 (65.77)130 (58.82)326 (62.81)
    Social media104 (35)94 (42.53)198 (38.15)
    Leaflets64 (21.48)45 (20.36)109 (21)
    TV42 (14.1)36 (16.3)78 (15.03)
    Previous knowledge14 (4.7)4 (1.8)18 (3.47)
    Family experience5 (1.7)8 (3.62)13 (2.5)
    Friends13 (4.36)5 (2.26)18 (3.47)
    Physicians5 (1.7)1 (0.45)6 (1.15)
    • A - recognized stroke definition, B - did not recognize stroke definition,

    • ↵* Multiple choice questions, thus it does not constitute 100%

    • View popup
    Table 6

    - Relationship between participants’ demographic characters and their total knowledge regarding signs, risk factors, and post-discharge requirement of stroke.

    VariablesABChi -squared testP-value
    n (%)
    67/519 (13)452/519 (87)
    Gender
    Male28 (13.3)183 (86.7)0.0410.839
    Female39 (12.7)269(87.3)  
    Age, years
    < 4050 (11)406 (89)12.634 
    ≥ 4017 (27)46 (73)<0.001
    Educational Level
    Less than higher education13 (10.7)108 (89.3)0.6580.417
    Higher education and above54 (13.6)344 (86.4)
    Relative’s previous diagnosis
    Yes23 (22.5)79 (77.5)10.4920.001
    No44 (10.6)373 (89.4)
    • A - identified ≥ two stroke signs with ≤ one mistake, ≥ four stroke risk factors with ≤ one mistake, and ≥ 3 post-discharge requirements with ≤ one mistake, B - did not identify

    • View popup
    Table 7

    - Multivariant logistic regression involving characteristic data as independent variables to predict stroke definition knowledge, signs knowledge and risk factors knowledge (dependent variables).

    Independent variablesOR95% CIP-value
    Stroke definition knowledge
    Educational level1.61.03-2.40.034
    Stroke signs knowledge
    Gender1.61.2-2.90.013
    Family history1.81.2-2.90.009
    Risk factors knowledge
    Educational level1.71.1-2.70.028
    Family history1.61.03-2.60.036
    • CI - confidence interval, OR - odds ratio

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Public Awareness of Ischemic Stroke in Medina city, Kingdom of Saudi Arabia
Majed M. Alluqmani, Nada R. Almshhen, Rawan A. Alotaibi, Omaymah Y. Aljardi, Heba M. Zahid
Neurosciences Journal Apr 2021, 26 (2) 134-140; DOI: 10.17712/nsj.2021.2.20200105

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Public Awareness of Ischemic Stroke in Medina city, Kingdom of Saudi Arabia
Majed M. Alluqmani, Nada R. Almshhen, Rawan A. Alotaibi, Omaymah Y. Aljardi, Heba M. Zahid
Neurosciences Journal Apr 2021, 26 (2) 134-140; DOI: 10.17712/nsj.2021.2.20200105
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