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ORIGINAL ARTICLE
Year : 2020  |  Volume : 9  |  Issue : 1  |  Page : 89

Determinants of medication adherence among hypertensive patients using the Pender's health promotion model


1 Department of Public Health, School of Health, Hamadan University of Medical Sciences, Hamadan, Iran
2 Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran

Correspondence Address:
Dr. Majid Barati
Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jehp.jehp_687_19

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BACKGROUND: Poor adherence in treatment and medication is a global issue in curing the chronic diseases such as hypertension. The present study was conducted to identify the factors related with medication adherence among hypertensive patients referred to the health centers of Borujerd based on the Pender's Health Promotion Model (HPM). MATERIALS AND METHODS: This cross-sectional study was conducted on 463 patients who were referred to the comprehensive health centers of Borujerd city by cluster sampling method in 2019. The data were collected using a questionnaire including demographic variables and Pender's HPM constructs. Data were analyzed by SPSS 18 software using Pearson correlation coefficient and linear regression. RESULTS: The mean and standard deviation of the participants' age was 63.29 ± 11.2 years. The results showed that hypertensive patients had a relatively desirable level of medication adherence behavior. Perceived barriers (β = −0.169), perceived self-efficacy (β = 0.196), activity related affect (β = 0.232), and following medication regimen (β = 0.225) were the best predictors of performing the medication adherence behavior. In total, different structures of the HPM explained 42.2% of the variation of medication adherence behavior changes. CONCLUSIONS: According to the findings, the design of educational programs using HPM is recommended to increase the medication adherence among hypertensive patients.


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