Medication adherence in elderly people integrated in the long-term care domiciliary teams

Lígia Eduarda Pereira Monterroso, Natércia Joaquim, Luís Octávio de Sá

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Theoretical framework: An increased number of diseases and comorbidities leads to polymedication, which may interfere with Medication Adherence (MA) among the elderly. Objectives: To describe the socio-demographic and economic characteristics of the elderly supported by the Integrated Long-Term Care Teams; characterise the level of MA of the population under study; and identify the variables influencing non-adherence. Methodology: A descriptive/exploratory correlational study, using a quantitative method, was conducted in a sample of 55 elderly people. Results: Sample with 78±7.9 years old, mainly female (69.1%). Using the measurement scale of adherence to treatment, it was found that 72.7% of elderly people did not adhere to the medication treatment and that 83.6% take three or more medicines. Using the Katz index, it was found that 25.5% of seniors were highly dependent. Using the Mini-Mental State Examination, 47.3% patients revealed moderate dementia. Using the Geriatric Depression Scale, 45.5% revealed moderate depression. A statistically significant association was only found between MA and mental status. Individuals with moderate dementia had a lower level of adherence. Conclusion: The low level of MA is influenced by cognitive factors that should be considered while planning interventions to promote the MA among the elderly.
Translated title of the contributionAdesão do regime terapêutico medicamentoso dos idosos integrados nas equipas domiciliárias de cuidados continuados
Original languageEnglish
Pages (from-to)9-16
Number of pages8
Issue number5
Publication statusPublished - Jun 2015


  • Elderly
  • Medication adherence


Dive into the research topics of 'Medication adherence in elderly people integrated in the long-term care domiciliary teams'. Together they form a unique fingerprint.

Cite this