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. 2022 Nov 20;10(11):2322.
doi: 10.3390/healthcare10112322.

A Study on Types of Medication Adherence in Hypertension among Older Patients and Influencing Factors

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A Study on Types of Medication Adherence in Hypertension among Older Patients and Influencing Factors

Sunmin Lee et al. Healthcare (Basel). .

Abstract

Background: Hypertension has the characteristic that the risk of complications can be reduced through appropriate medication in daily life. Hence, it is important to consider practical measures to increase medication adherence, particularly among older patients.

Methods: This study used the Korea Health Panel 2020 data (Version 2.0.1), jointly conducted by Korea Institute for Health and Social Affairs and National Health Insurance. A total of 2300 patients with high blood pressure over 65 years of age were selected. In order to identify types of medication adherence in older hypertensive patients, and examine factors that influence the types, the Latent Profile Analysis (LPA) and logistic regression were performed.

Results: The types of adherence groups were classified into two groups: an 'adherence group' (87.1%) and a 'non-adherence group' (12.9%). Furthermore, age, living alone, and depressive symptoms were identified as determinants of medication adherence type among older hypertensive patients.

Conclusion: The significant impact of sociodemographic status (age, living alone, and depressive symptoms) on medication adherence among older hypertensive patients indicates the need to establish more specific empirical interventions based on each type's characteristics. It is expected that this study will provide an in-depth understanding of factors associated with medication adherence among older patients with hypertension, which can support interventions tailored to the specific needs of those who are non-adherent.

Keywords: Korea; Latent Profile Analysis (LPA); hypertension; medication adherence; older adult.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Estimation of Adherence Types.

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