Letter to the Editor

Medical Research Journal 2023;
Volume 8, Number 1, 85–86, 10.5603/MRJ.a2023.0015,
Copyright © 2023 Via Medica,
ISSN 2451-2591, e-ISSN 2451-410185

Adherence to medication in elderly patients

Aldona Kubica
Department of Health Promotion, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland

Corresponding author:

Aldona Kubica,
Department of Health Promotion, Collegium Medicum,
Nicolaus Copernicus University,
Curie Skłodowskiej 9 St.,
85-094 Bydgoszcz, Poland;
e-mail: akubica@cm.umk.pl

To the Editor

Low medication adherence is a main limitation of the long-term effectiveness of treatment in patients with chronic diseases [1–3]. Low adherence is recognized as a serious health problem particularly in elderly patients due to the presence of numerous comorbidities and concomitant polypharmacy [4–6]. There are multiple patient-related causes leading to poor adherence associated with old age, including decreased quality of life, low mood and presence of depressive symptoms, and clinical and sociodemographic factors. Recently Pobrotyn et al. published in the Medical Research Journal the results of a prospective cross-sectional study assessing adherence problems in 100 elderly patients with hypertension [7]. They observed a relatively high proportion of patients with a high level of adherence (63%) and a very low incidence of low adherence (3%) as assessed with the Adherence in Chronic Disease Scale (ACDS). The authors observed a negative correlation indicating that more severe depressive symptoms were associated with poorer adherence while a higher quality of life was associated with better adherence. A higher level of adherence was also observed in patients with higher education and better economic status. Nevertheless, none of these variables was an independent predictor of the adherence level assessed with the ACDS. However, it should be emphasized that the ACDS allows to assess the risk of non-adherence, but not adherence itself [8–11]. No objective, direct method of a patient’s medication-taking behaviour assessment was used to verify the results obtained with this self-reported questionnaire [2]. We are proud and grateful to the authors that they decided to use the diagnostic tool developed by us, however, we feel obliged to point out its limitations. The search for methods of adherence assessment that are both effective and easy to apply remains a great challenge [12–15].

References

  1. Stewart D, Mair A, Wilson M, et al. SIMPATHY consortium. Guidance to manage inappropriate polypharmacy in older people: systematic review and future developments. Expert Opin Drug Saf. 2017; 16(2): 203213, doi: 10.1080/14740338.2017.1265503, indexed in Pubmed: 27885844.
  2. Kubica A. Problems of long-term antiplatelet therapy after coronary stent implantation. Adv Interv Cardiol. 2009; 5: 158161.
  3. Buszko K, Kosobucka A, Michalski P, et al. The readiness for hospital discharge of patients after acute myocardial infarction: a new self-reported questionnaire. Medical Research Journal. 2017; 2(1): 2028, doi: 10.5603/mrj.2017.0004.
  4. Kosobucka A, Kasprzak M, Michalski P, et al. Relation of the Readiness for Hospital Discharge after Myocardial Infarction Scale to socio-demographic and clinical factors. An observational study. Medical Research Journal. 2018; 3(1): 3237, doi: 10.5603/mrj.2018.0006.
  5. Kubica A, Kasprzak M, Obońska K, et al. Discrepancies in assessment of adherence to antiplatelet treatment after myocardial infarction. Pharmacology. 2015; 95(1-2): 5058, doi: 10.1159/000371392, indexed in Pubmed: 25592409.
  6. Kubica A, Kasprzak M, Siller-Matula J, et al. Time-related changes in determinants of antiplatelet effect of clopidogrel in patients after myocardial infarction. Eur J Pharmacol. 2014; 742: 4754, doi: 10.1016/j.ejphar.2014.08.009, indexed in Pubmed: 25199965.
  7. Pobrotyn P, Chudiak A, Uchmanowicz B, et al. Adherence problems in elderly patients with hypertension. Medical Research Journal. 2023, doi: 10.5603/mrj.a2023.0004.
  8. Kubica A, Kosobucka A, Michalski P, et al. The adherence in chronic diseases scale-a new tool to monitor implementation of a treatment plan. Folia Cardiol. 2017; 12: 1926.
  9. Buszko K, Obońska K, Michalski P, et al. The Adherence Scale in Chronic Diseases (ASCD). The power of knowledge: the key to successful patient health care provider cooperation. Medical Research Journal. 2016; 1(1): 3742, doi: 10.5603/mrj.2016.0006.
  10. Kosobucka A, Michalski P, Pietrzykowski Ł, et al. The impact of readiness to discharge from hospital on adherence to treatment in patients after myocardial infarction. Cardiol J. 2022; 29(4): 582590, doi: 10.5603/CJ.a2020.0005, indexed in Pubmed: 32037501.
  11. Kosobucka A, Michalski P, Pietrzykowski Ł, et al. Adherence to treatment assessed with the Adherence in Chronic Diseases Scale in patients after myocardial infarction. Patient Prefer Adherence. 2018; 12: 333340, doi: 10.2147/PPA.S150435, indexed in Pubmed: 29551891.
  12. Pietrzykowski Ł, Kasprzak M, Michalski P, et al. The influence of patient expectations on adherence to treatment regimen after myocardial infarction. Patient Educ Couns. 2022; 105(2): 426431, doi: 10.1016/j.pec.2021.05.030, indexed in Pubmed: 34059362.
  13. Pietrzykowski Ł, Kasprzak M, Michalski P, et al. Therapy Discontinuation after Myocardial Infarction. J Clin Med. 2020; 9(12), doi: 10.3390/jcm9124109, indexed in Pubmed: 33352811.
  14. Kubica A. Problems of long-term antiplatelet therapy after coronary stent implantation. Adv Interv Cardiol. 2009; 5: 158161.
  15. Kubica A, Obońska K, Fabiszak T, et al. Adherence to antiplatelet treatment with P2Y12 receptor inhibitors. Is there anything we can do to improve it? A systematic review of randomized trials. Curr Med Res Opin. 2016; 32(8): 14411451, doi: 10.1080/03007995.2016.1182901, indexed in Pubmed: 27112628.

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