| ORIGINAL ARTICLE |
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| Year : 2018 | Volume
: 7
| Issue : 2 | Page : 81-86 |
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Medication adherence and its predictors among patients with heart failure
Seyedeh Somayeh Amininasab1, Hamideh Azimi Lolaty2, Mahmood Moosazadeh3, Vida Shafipour4
1 Student Research Committee, School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran
2 Department of Psychiatric Nursing, Psychiatry and Behavioral Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran
3 Health Sciences Research Center, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran
4 Department of Medical-Surgical Nursing, Nasibeh Nursing and Midwifery Faculty, Mazandaran University of Medical Sciences, Sari, Iran
Correspondence Address:
Dr Vida Shafipour
Department of Medical-Surgical Nursing, Nasibeh Nursing and Midwifery Faculty, Mazandaran University of Medical Sciences, Sari
Iran
 Source of Support: None, Conflict of Interest: None  | 9 |
DOI: 10.4103/nms.nms_9_17
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Background: Medication adherence is a complex behavioral pattern affecting treatment success. A stepping stone to improve medication adherence is to determine its contributing factors. Objectives: This study intended to evaluate medication adherence and its predictors among patients with heart failure in Mazandaran Heart Center, Sari, Iran. Methods: This cross-sectional study was conducted on 300 patients with heart failure who were hospitalized from January to March 2015. Sampling was done through the census method. Data were collected using the Morisky Medication Adherence Scale and were analyzed using the Chi-square test and logistic regression analysis. Results: The mean score of treatment adherence was 5.82 ± 2.54. Medication adherence had a significant correlation with education level (P = 0.012), number of children (P = 0.013), comorbidity (P = 0.002), ejection fraction (P = 0.046), and the number of tablets used per day (P = 0.001). However, it was not significantly correlated with age, gender, employment status, place of residence, income level, and the number of hospitalizations for heart failure (P > 0.05). Logistic regression analysis showed that none of the demographic and clinical characteristics was a significant predictor of medication adherence. Conclusion: Medication adherence is affected by different factors such as education level, number of children, comorbidity, disease severity, and the number of tablets used per day. Nurses need to take these factors into account when developing care plans and patient education programs.
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