Predictors of Medication Adherence among Older Adults at an Elderly University in Pathum Thani Province

Authors

  • Jintana Densuntikul Faculty of Nursing, North Bangkok University
  • Suphanni Jaidee Faculty of Nursing, North Bangkok University
  • Siriwan Turongruang Faculty of Nursing, North Bangkok University

Keywords:

Predictive factors, Medication adherence behaviors, Older adults, Non-communicable diseases, social support

Abstract

This predictive correlational study aimed to: 1) examine medication adherence levels among older adults with non-communicable diseases (NCDs) and 2) identify predictors of medication adherence, including knowledge of disease and medication use, health beliefs, self-efficacy, and social support. The sample consisted of older adults enrolled in an elderly university in Lam Luk Ka District, Pathum Thani Province, selected through simple random sampling. Research instruments included questionnaires on personal characteristics, knowledge of disease and medication use, health beliefs, self-efficacy, social support, and medication adherence. Data were analyzed using descriptive statistics and stepwise multiple regression analysis. The results revealed that:

1. participants demonstrated a good level of medication adherence (M= 43.50, SD= 2.70).

2. Knowledge of diseases and medication, health beliefs, and self-efficacy were significant predictors of medication adherence behaviors among older adults patients with non-communicable diseases (β= 0.426, β= 0.217, and β= 0.216, respectively; p < .001), followed by social support (β= 0.119, p < .05). Collectively, these four factors accounted for 64.0% of the variance in medication adherence behaviors (Adjusted $R^2$ = .630, p < .001).

These findings suggest that developing interventions to enhance medication adherence should focus on improving patient knowledge, promoting health beliefs, boosting self-efficacy, and strengthening social support systems.

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Published

2025-12-31

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Research Articles