Korean J Adult Nurs.  2011 Aug;23(4):374-385.

A Path Model Predicting Medication Adherence and Self-care of Low-income Older Adults with Hypertension

Affiliations
  • 1College of Nursing, Kyungpook National University, Korea. srsuh@knu.ac.kr
  • 2Graduate School of Public Health, Ajou University, Korea.

Abstract

PURPOSE
The purpose of this study was to identify the factors that influence medication adherence and self-care among low-income older adults with hypertension.
METHODS
A sample of 297 low-income older adults with hypertension was recruited from June 30 to July 30, 2010. Data collection was done using a face-to-face interview with structured questions. The data were analyzed using descriptive statistics, Pearson's correlation coefficient, and path analysis.
RESULTS
Subjective health status, duration of hypertension, number of drugs excluding antihypertensives, body mass index, knowledge about hypertension, sense of coherence, benefit, barrier, and self-efficacy were identified as significant predictors. Subjective health status and duration of hypertension, knowledge, depression, and self-care showed direct effects on medication adherence. Depression had the strongest direct influence on medication adherence. Body mass index, benefit, self-efficacy, and depression showed a direct effect on self-care. Sense of coherence was a strong predictor of depression which significantly influenced on medication adherence and self-care.
CONCLUSION
For enhancing medication adherence and self-care, it is suggested that a psycho-education program reducing depression and increasing knowledge about hypertension should be provided into low-income older adults with hypertension.


MeSH Terms

Adult
Aged
Antihypertensive Agents
Body Mass Index
Data Collection
Depression
Humans
Hypertension
Medication Adherence
Poverty
Self Care
Sense of Coherence
Antihypertensive Agents
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