Preview

Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice

Advanced search

Potential barriers towards optimal medication adherence in out-patients with stable coronary artery disease

https://doi.org/10.37489/2588-0519-2023-2-26-34

Abstract

Introduction. The results from foreign and local studies demonstrate that more than a half of patients with cardiovascular diseases do not take medication in compliance with doctors’ recommendations. The search for significant barriers to optimal medication adherence might improve the development of adherence control measures in patients with stable coronary artery disease (SCAD) in routine clinical practice of primary care.

Aim. To study the nature and incidence of potential barriers to optimal medication adherence and their association with social and demographic parameters in patients with SCAD.

Methods. This publication describes the fragment of the study “PHARMCARE” in which 123 coronary patients were included. Data on demography, social status, medical history and pharmacotherapy were registered. The barriers to medication adherence were identified by means of validated scale (questionnaire) SEAMS (Self-Efficacy for Appropriate Medication Use Scale). Data analysis was conducted by descriptive statistics and regression modeling.

Results. The analysis of incidence of barriers to medication adherence allowed to identify the list of most significant ones: “fear of side effects”, “intake of several different medicines each day”, “intake of medicines more than once a day”, “medicines look different than usual”, “normal routine gets messed up”, “busy day planned”, “no one reminds to take medicines” and “staying away from home”. More than a third of all the respondents reported at least one of barriers (37%), that was in major cases “fear of side effects” (22%). Linear one-factor modeling revealed association of number of significant barriers in patients with level of their education (р=0,009) and presence of partner or caregiver (р=0,001), that was also confirmed by the multivariate model. Less barriers were identified in coronary patients that had partner or caregiver (р=0,009) and higher education (р=0,045).

Conclusion. The study results revealed that the significant barriers to optimal medication adherence in out-patients with SCAD were related either to patients’ behavior or to pharmacotherapy profile. Uncertainty in overcoming barriers was most typical for single patients without higher education. The obtained results should be taken into consideration when develop strategies for improvement of medication adherence in patients with SCAD in primary care practice.

About the Authors

S. B. Fitilev
Peoples' Friendship University of Russia named after Patrice Lumumba Medical Institute, Department of General and Clinical Pharmacology
Russian Federation

Sergey B. Fitilev - Dr. Sci. (Med.), professor

Moscow



A. V. Vozzhaev
Peoples' Friendship University of Russia named after Patrice Lumumba Medical Institute, Department of General and Clinical Pharmacology
Russian Federation

Alexander V. Vozzhaev - Dr. Sci. (Pharm.), professor

Moscow



I. I. Shkrebniova
Peoples' Friendship University of Russia named after Patrice Lumumba Medical Institute, Department of General and Clinical Pharmacology
Russian Federation

Irina I. Shkrebniova - PhD, Cand. Sci. Med., associate professor

Moscow



D. A. Kliuev
Peoples' Friendship University of Russia named after Patrice Lumumba Medical Institute, Department of General and Clinical Pharmacology
Russian Federation

Dmitry A. Kliuev - PhD, Cand. Sci. (Pharm.), assistant professor

Moscow



A. O. Ovaeva
Peoples' Friendship University of Russia named after Patrice Lumumba Medical Institute
Russian Federation

Anna O. Ovaeva - student

Moscow



References

1. Chowdhury R, Hassan Khan, Emma Heydon et al. Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences. Eur. Heart J. 2013;34(38):2940–8. doi: 10.1093/eurheartj/eht295

2. Naderi SH, Bestwick JP, Wald DS. Adherence to drugs that prevent cardiovascular disease: meta-analysis on 376,162 patients. Am. J. Med. 2012;125 (9):882–887.e1. doi: 10.1016/j.amjmed.2011.12.013

3. Huber CA, Matthias R Meyer et al. Post-myocardial Infarction (MI) Care: Medication Adherence for Secondary Prevention Aſter MI in a Large Real- world Population. Clin. Ther. 2019;41(1):107–17. doi: 10.1016/j.clinthera.2018.11.012

4. Loukianov MM, Kozminsky AN, Martsevich SYu et al. Patients with Combination of Chronic Heart Failure, Hypertension and History of Myocardial Infarction: Clinical and Anamnestic Characteristics, Administration of ACE Inhibitors, Angiotensin Receptor Blockers, β-Blockers and Adherence to the Drug Therapy (Data of Outpatient Registry RECVASA). Rational Pharmacotherapy in Cardiology. 2017;13(2):207–12. (In Russ.). doi: 10.20996/1819-6446-2017-13-2-207-212

5. Indukaeva EV, Makarov SA, Gruzdeva OV, et al. Life quality, psychological state, treatment and prevention adherence evaluation in local polyclinic patients. Cardiovascular Therapy and Prevention. 2017;16(4):50–5. (In Russ.)]. doi: 10.15829/1728-8800-2017-4-50-55

6. Osterberg L, Blaschke T. Adherence to medication. N. Engl. J. Med. 2005;353(5):487–97. doi: 10.1056/NEJMra050100

7. Padilha JC, Santos VB, Lopes CT, Lopes JL. Prevalence of pharmacological adherence in patients with coronary artery disease and associated factors. Rev. Lat. Am. Enfermagem. 2021 Sep 3;29:e3464. doi: 10.1590/1518-8345.4554.3464

8. Fitilev SB, Vozzhaev AV, Kliuev DA, et al. Effects of Pharmacy Care Program on medication adherence in outpatients with stable coronary artery disease: a randomized controlled study. Cardiovascular Therapy and Prevention. 2021;20(8):3069. (In Russ.). doi: 10.15829/1728-8800-2021-3069

9. Fiti lev SB, Vozzhaev AV, Kliuev DA, Shkrebniova II. Multivariate analysis of medication adherence among outpatients with stable coronary artery disease. Kachestvennaya klinicheskaya praktika = Good Clinical Practice. 2021; (4):44–52. (In Russ.). doi: 10.37489/2588-0519-2021-4-44-52

10. Horne R, Weinman J, Hankins M. The beliefs about medicines questionnaire: The development and evaluation of a new method for assessing the cognitive representation of medication. Psychology & Health. 1999; 14(1):1–24. doi: 10.1080/08870449908407311

11. Unni EJ, Farris KB. Unintentional non-adherence and belief in medicines in older adults. Patient Educ. Couns. 2011;83(2):265–8. doi: 10.1016/j.pec.2010.05.006

12. Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 1977;84(2):191–215. doi: 10.1037/0033-295x.84.2.191

13. Lamarche L, Tejpal A, Mangin D. Self-efficacy for medication management: a systematic review of instruments. Patient Prefer. Adherence. 2018 Jul 20;12:1279–87. doi: 10.2147/PPA.S165749

14. Nguyen TM, La Caze A, Cottrell N. What are validated self-report adherence scales really measuring?: a systematic review. Br. J. Clin. Pharmacol. 2014 Mar;77(3):427–45. doi: 10.1111/bcp.12194

15. Risser J, Jacobson TA, Kripalani S. Development and psychometric evaluation of the Self-efficacy for Appropriate Medication Use Scale (SEAMS) in low-literacy patients with chronic disease. J. Nurs. Meas. 2007;15(3):203–19. doi: 10.1891/106137407783095757

16. Sotorra-Figuerola G, Ouchi D, Giner-Soriano M, Morros R. Impact of adherence to drugs for secondary prevention on mortality and cardiovascular morbidity: A population-based cohort study. IMPACT study. Pharmacoepidemiol. Drug Saf. 2021 Sep;30(9):1250–7. doi: 10.1002/pds.5261

17. Kumbhani DJ, Steg PG, Cannon CP, et al. Adherence to secondary prevention medications and four-year outcomes in outpatients with atherosclerosis. Am. J. Med. 2013 Aug;126(8):693–700.e1. doi: 10.1016/j.amjmed.2013.01.033

18. Kripalani S, Schmotzer B, Jacobson TA. Improving Medication Adherence through Graphically Enhanced Interventions in Coronary Heart Disease (IMAGE-CHD): a randomized controlled trial. J. Gen. Intern. Med. 2012 Dec;27(12):1609–17. doi: 10.1007/s11606-012-2136-z

19. Daniel H, Christian W, Robin H, et al. Statin treatment aſter acute coronary syndrome: Adherence and reasons for non-adherence in a randomized controlled intervention trial. Sci. Rep. 2019;9(1):12079. doi: 10.1038/s41598-019-48540-3

20. Lauffenburger JC, Isaac T, Bhattacharya R et al. Prevalence and Impact of Having Multiple Barriers to Medication Adherence in Nonadherent Patients With Poorly Controlled Cardiometabolic Disease. Am. J. Cardiol. 2020;125(3):376–82. doi: 10.1016/j.amjcard.2019.10.043

21. Shani SD, Sylaja PN, Sankara Sarma P, Raman Kutty V. Facilitators and barriers to medication adherence among stroke survivors in India. J. Clin. Neurosci. 2021;88:185–90. doi: 10.1016/j.jocn.2021.03.019

22. Sud A, Kline-Rogers EM, Eagle KA, et al. Adherence to medications by patients aſter acute coronary syndromes. Ann. Pharmacother. 2005;39(11):1792–7. doi: 10.1345/aph.1G249

23. Fung V, Graetz I, Reed M, Jaffe MG. Patient-reported adherence to statin therapy, barriers to adherence, and perceptions of cardiovascular risk. PLoS One. 2018;13(2):e0191817. doi: 10.1371/journal.pone.0191817

24. Cohen JD, Brinton EA, Ito MK, Jacobson TA. Understanding Statin Use in America and Gaps in Patient Education (USAGE): an internet-based survey of 10,138 current and former statin users. J. Clin. Lipidol. 2012 May-Jun;6(3):208–15. doi: 10.1016/j.jacl.2012.03.003

25. Ehrler F, Gschwind L, Meyer P, et al. SMART-MEDS: Development of a Medication Adherence App for Acute Coronary Syndrome Patients based on a Gamified Behaviour Change Model. AMIA Annu. Symp. Proc. 2018; 2018:413–21.

26. Zullig LL, Stechuchak KM, Goldstein KM, et al. Patient-reported medication adherence barriers among patients with cardiovascular risk factors. J. Manag. Care Spec. Pharm. 2015;21(6):479–85. doi: 10.18553/jmcp.2015.21.6.479

27. Easthall C, Taylor N, Bhattacharya D. Barriers to medication adherence in patients prescribed medicines for the prevention of cardiovascular disease: a conceptual framework. Int. J. Pharm. Pract. 2019;27(3):223–31. doi: 10.1111/ijpp.12491

28. Haldane V, Koh JJK, Srivastava A, et al. User Preferences and Persona Design for an mHealth Intervention to Support Adherence to Cardiovascular Disease Medication in Singapore: A Multi-Method Study. JMIR Mhealth Uhealth. 2019;7(5):e10465. doi: 10.2196/10465

29. Molloy GJ, Messerli-Bürgy N, Hutton G, et al. Intentional and unintentional non-adherence to medications following an acute coronary syndrome: a longitudinal study. J. Psychosom. Res. 2014;76(5):430–2. doi: 10.1016/j.jpsychores.2014.02.007

30. Yu M, Wang L, Guan L et al. Knowledge, attitudes, and barriers related to medication adherence of older patients with coronary heart disease in China. Geriatr. Nurs. 2022;43:235–41. doi: 10.1016/j.gerinurse.2021.12.001

31. Shi B, Liu X, Dong Q, et al. The Effect of a WeChat-Based Tertiary A-Level Hospital Intervention on Medication Adherence and Risk Factor Control in Patients With Stable Coronary Artery Disease: Multicenter Prospective Study. JMIR Mhealth Uhealth. 2021 Oct 27;9(10):e32548. doi: 10.2196/32548

32. Cross AJ, Elliott RA, Petrie K, et al. Interventions for improving medication-taking ability and adherence in older adults prescribed mul tiple medications. Cochrane Database Syst. Rev. 2020;5(5):CD012419. doi: 10.1002/14651858.CD012419.pub2

33. Bond Z, Scanlon T, Judah G. Systematic Review of RCTs Assessing the Effectiveness of mHealth Interventions to Improve Statin Medication Adherence: Using the Behaviour-Change Technique Taxonomy to Identify the Techniques That Improve Adherence. Healthcare (Basel). 2021 Sep 28;9(10): 1282. doi: 10.3390/healthcare9101282


Review

For citations:


Fitilev S.B., Vozzhaev A.V., Shkrebniova I.I., Kliuev D.A., Ovaeva A.O. Potential barriers towards optimal medication adherence in out-patients with stable coronary artery disease. Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice. 2023;(2):26-34. (In Russ.) https://doi.org/10.37489/2588-0519-2023-2-26-34

Views: 1324


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2588-0519 (Print)
ISSN 2618-8473 (Online)