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Research ArticleOriginal Article
Open Access

Factors predicting medication adherence among coronary artery disease patients in Saudi Arabia

A descriptive study

Abdulaziz M. Almarwani and Bayan M. Almarwani
Saudi Medical Journal September 2023, 44 (9) 904-911; DOI: https://doi.org/10.15537/smj.2023.44.9.20230293
Abdulaziz M. Almarwani
From the Department of Psychiatric Nursing (A. M. Almarwani), College of Nursing; and from the Department of Internal Medicine (B. M. Almarwani), College of Medicine, Taibah University, Al-Madinah Al-Munawarah, Kingdom of Saudi Arabia.
PhD, RN
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  • ORCID record for Abdulaziz M. Almarwani
  • For correspondence: [email protected]
Bayan M. Almarwani
From the Department of Psychiatric Nursing (A. M. Almarwani), College of Nursing; and from the Department of Internal Medicine (B. M. Almarwani), College of Medicine, Taibah University, Al-Madinah Al-Munawarah, Kingdom of Saudi Arabia.
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    Table 1

    - Demographic data of the study participants.

    Variablesn (%)
    Age (years), mean±SDn=278, 57.0±12.9
    Gender
    Male208 (74.8)
    Female70 (25.2)
    Level of education
    High school or less107 (38.5)
    University education151 (54.3)
    Higher education20 (7.2)
    Number of doctor visits in one year
    None52 (18.7)
    167 (24.1)
    289 (32.0)
    3 or more70 (25.2)
    History of smoking
    Yes130 (46.8)
    No148 (53.2)
    Family support
    Yes135 (48.6)
    No143 (51.4)
    • Values are presented as numbers and precentages (%). SD: standard deviation

    • View popup
    Table 2

    - Medication adherence categories (poor, moderate, and good adherence).

    Variablesn (%)
    MMAS-4 items, mean±SD (range)2.12±1.08 (0-4)
    Number of “no” answers
    0-1 (poor adherence)85 (30.6)
    2-3 (moderate adherence)165 (59.4)
    4 (good adherence)28 (10.0)
    • Values are presented as numbers and precentages (%). MMAS: Morisky medication-taking adherence scale,

    • SD: standard deviation

    • View popup
    Table 3

    - Sociodemographic and medication adherence.

    VariablesNMMAS-4 items
    Mean±SDt/FP-values
    Gender
    Men2081.9±1.093.99<0.001
    Women702.55±0.92
    Level of education
    High school or less1071.96±1.073.740.025
    University education1512.16±1.07
    Higher education202.65±1.03
    Number of doctor visit in one year
    None521.78±0.977.52<0.001
    1671.80±1.11
    2892.24±1.09
    3 or more702.51±0.95
    History of smoking
    Yes1301.98±1.082.000.046
    No1482.23±1.06
    Family support
    Yes1352.27±1.06-2.290.023
    No1431.97±1.07
    • MMAS-4: 4-item Morisky medication-taking adherence scale, N: number,

    • SD: standard deviation

    • View popup
    Table 4

    - Predictive values of Sociodemographic factors on medication adherence among coronary artery disease patients.

    VariablesBetaSE95% CIβP-values
    LLUL
    Gender-0.590.35-0.890-0.291-0.23<0.001
    Age-0.020.15-0.0110.007-0.020.716
    Level of education0.240.050.0370.4510.130.021
    Number of doctor visits0.260.100.1510.3780.25<0.001
    Smoking history-0.010.05-0.2740.249-0.060.926
    Family support0.290.130.0490.5300.130.019
    • CI: confidence interval, SE: standard error, LL: lower limit, UL: upper limit

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Saudi Medical Journal: 44 (9)
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1 Sep 2023
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Factors predicting medication adherence among coronary artery disease patients in Saudi Arabia
Abdulaziz M. Almarwani, Bayan M. Almarwani
Saudi Medical Journal Sep 2023, 44 (9) 904-911; DOI: 10.15537/smj.2023.44.9.20230293

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Factors predicting medication adherence among coronary artery disease patients in Saudi Arabia
Abdulaziz M. Almarwani, Bayan M. Almarwani
Saudi Medical Journal Sep 2023, 44 (9) 904-911; DOI: 10.15537/smj.2023.44.9.20230293
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Keywords

  • coronary artery disease
  • medication adherence
  • doctor visits
  • family support
  • Saudi Arabia

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