Prevalence of medication adherence and its associated factors among community-dwelling Chinese older adults in Hong Kong

Geriatr Gerontol Int. 2015 Jun;15(6):789-96. doi: 10.1111/ggi.12342. Epub 2014 Sep 26.

Abstract

Aim: The aim of present study was to describe the prevalence of medication adherence, and to examine its risk factors among Chinese community-dwelling older adults with chronic diseases.

Methods: Secondary analysis was carried out on the data collected from 3167 Hong Kong adults aged ≥60 years who lived in their private home, had at least one type of chronic disease and had completed a screening instrument for long-term care services for the first time in 2006. The outcome variable was the self- or caregiver-reported medication adherence.

Results: Among the respondents, 90.8% reported having good medication adherence in the past 7 days. More dependence on activities of daily living (P < 0.001), stroke (P = 0.003) or diabetes (P = 0.036), had medication review by physicians (P < 0.001) and received more informal care support (P = 0.005) were positively associated with medication adherence, whereas more cognitive impaired (P = 0.008), more negative mood (P = 0.071) and perceived poor health (P < 0.001) were negatively associated with medication adherence.

Conclusions: The prevalence of self-reported medication adherence was high in Hong Kong Chinese community-dwelling older adults. A number of modifiable factors associated with medication adherence were identified, which provides specific targets for interventions.

Keywords: Chinese; aged; community-dwelling; medication adherence; risk factor.

MeSH terms

  • Activities of Daily Living
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Caregivers
  • Chronic Disease
  • Cognition Disorders / epidemiology
  • Depression / epidemiology
  • Diabetes Mellitus / drug therapy
  • Educational Status
  • Female
  • Hong Kong
  • Humans
  • Hypertension / drug therapy
  • Independent Living
  • Logistic Models
  • Male
  • Medication Adherence / statistics & numerical data*
  • Medication Reconciliation
  • Multivariate Analysis
  • Self Report
  • Sex Factors
  • Socioeconomic Factors
  • Stroke / drug therapy