Geriatrics, Gerontology and Aging (Jun 2020)

FREQUENCY OF LOW ADHERENCE AND RELTED FACTORS IN OLDER ADULTS TREATED IN PONTO DOS VOLNTES, IN THE JEQUITINHONHA VALLEY

  • Nathanna Fernandes Maciel,
  • Lucas Bastos Pereira Carneiro,
  • Ana Paula Bernardes Real,
  • Bruno Souto Rangel de Castro,
  • Fernanda Mendes Amorim,
  • Gabriel Junqueira Lopes,
  • Gustavo Antunes Rodrigues Duarte,
  • Gustavo Couto Pereira da Silva,
  • Hugo Pimenta Ferreira,
  • Juliana Toledo Mesquita,
  • Lívia Pires Calastri,
  • Maria Isabel Menezes Guedes,
  • Maria Carolina Padovani Guerra,
  • Mariana América Gonçalves,
  • Mateus Pinto Ribeiro,
  • Pedro Henrique de Almeida Andrade,
  • Rafael Las Casas,
  • Rebeca Carolina Campos e Almeida Silva,
  • Vitor Barbosa Abrantes,
  • Bruno Cézar Lage Cota,
  • Fernando Henrique Pereira,
  • Luis Felipe Jose Ravic de Miranda

DOI
https://doi.org/10.5327/Z2447-211520191800064
Journal volume & issue
Vol. 13, no. 1
pp. 11 – 16

Abstract

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OBJECTIVE: To evaluate adherence to medication treatment and possible associated factors in elderly patients interviewed during medical appointments in primary care units. METHOD: This was a cross-sectional, population-based study of 57 older patients aged 60 to 99 years living in the municipality of Ponto dos Volantes, state of Minas Gerais, including rural and urban areas. Data were collected during medical appointments, using a structured electronic script. The association between the parameters and the level of adherence to treatment was assessed using the χ2 test, with a 95% confidence interval. RESULTS: Among the elderly patients interviewed, 45 (78.9%) responded about adherence to treatment. Of these, 11 (24.4%) were included in the low adherence group. None of the parameters evaluated showed a statistically significant association with the classification of drug adherence. CONCLUSION: The present study identified that 1 in every 4 patients had low adherence to drug treatment. Among the variables studied, notably sex, age, schooling, number of comorbidities, number of medications, and income, no statistically significant relationship was observed.

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