Journals / Turkish journal of physical medicine and rehabilitation / 2019 / Cilt: 65 - Sayı: 4

What are the risk factors of poor medication adherence in the target-to-treat era?

Pages
343–351
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the linear multivariate analysis, significant associations were found between the MMAS-8 and MMSE, BDI, DAS28,and mean DAS28 scores.Conclusion: Our study results show that the medication adherence rate is significantly higher compared to previous studies and high diseaseactivity, depression, and cognitive dysfunction significantly affect medication adherence in this patient population.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objectives: This study aims to identify adherence rate and risk factors of poor adherence in patients with tightly controlled rheumatoid arthritis (RA) based on the treat-to-target (TTT) strategy.Patients and methods: In this cross-sectional, observational study, a total of 103 patients (22 males, 81 females; mean age 58.6±9.5 years;range, 35 to 76 years) with tightly controlled RA between November 2016 and May 2017 were included.
📊
Key Findings & Data:The patients were evaluated in termsof sociodemographic features, smoking and alcohol drinking status, body mass index (BMI), Disease Activity Score 28 (DAS28), and clinicaland medication data.
💡
Conclusion & Impact:In the linear multivariate analysis, significant associations were found between the MMAS-8 and MMSE, BDI, DAS28,and mean DAS28 scores.Conclusion: Our study results show that the medication adherence rate is significantly higher compared to previous studies and high diseaseactivity, depression, and cognitive dysfunction significantly affect medication adherence in this patient population.
🔬Design:Survey & Empirical Study
📍Scope:2016 Verileri
⚙️Variables:Domain Parameters

Özet

Objectives: This study aims to identify adherence rate and risk factors of poor adherence in patients with tightly controlled rheumatoid arthritis (RA) based on the treat-to-target (TTT) strategy.Patients and methods: In this cross-sectional, observational study, a total of 103 patients (22 males, 81 females; mean age 58.6±9.5 years;range, 35 to 76 years) with tightly controlled RA between November 2016 and May 2017 were included. The patients were evaluated in termsof sociodemographic features, smoking and alcohol drinking status, body mass index (BMI), Disease Activity Score 28 (DAS28), and clinicaland medication data. They filled out a series of standardized questionnaires including the Morisky 8-item Medication Adherence Scale(MMAS-8), Beck Depression Inventory (BDI), Mini-Mental State Examination (MMSE), and Health Assessment Questionnaire-DisabilityIndex (HAQ-DI). Multiple multivariate linear regression analysis was used to identify variables which were possibly associated with theMMAS-8.Results: Of the patients, 53 (51.5%) were non-adherent and 50 (48.5%) were adherent to medication. The DAS28-erythrocyte sedimentationrate, mean DAS28, HAQ, BDI scores, and the number of visits were higher and the MMSE scores were lower in non-adherent patients thanadherent patients. In the linear multivariate analysis, significant associations were found between the MMAS-8 and MMSE, BDI, DAS28,and mean DAS28 scores.Conclusion: Our study results show that the medication adherence rate is significantly higher compared to previous studies and high diseaseactivity, depression, and cognitive dysfunction significantly affect medication adherence in this patient population.

🔖

Cite This Article

UÇKUN, A. Ç., YURDAKUL, F. G., BODUR, H. (2019). What are the risk factors of poor medication adherence in the target-to-treat era?. Turkish journal of physical medicine and rehabilitation, Cilt: 65 - Sayı: 4, 343–351. https://ajindex.com/articles/375159

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Joplin S, van der Zwan R, Joshua F, Wong PK. Medication adherence in patients with rheumatoid arthritis: the effect of patient education, health literacy, and musculoskeletal ultrasound. Biomed Res Int 2015;2015:150658
  2. Ammoury A, Okais J, Hobeika M, Sayegh RB, Shayto RH, Sharara AI. Adherence to systemic therapies for immunemediated inflammatory diseases in Lebanon: a physicians’ survey from three medical specialties. Patient Prefer Adherence 2017;11:939-45
  3. Wabe N, Wiese MD. Treating rheumatoid arthritis to target: physician and patient adherence issues in contemporary rheumatoid arthritis therapy. J Eval Clin Pract 2017;23:486-93
  4. Mena-Vazquez N, Manrique-Arija S, Yunquera-Romero L, Ureña-Garnica I, Rojas-Gimenez M, Domic C, et al. Adherence of rheumatoid arthritis patients to biologic disease-modifying antirheumatic drugs: a cross-sectional study. Rheumatol Int 2017;37:1709-18
  5. Wong PK. Medication adherence in patients with rheumatoid arthritis: why do patients not take what we prescribe? Rheumatol Int 2016;36:1535-42
  6. Tuncay R, Ekşioğlu E, Gürçay E, Çakcı A. The ratio of second-line drug usage time to disease duration and reasons for drug cessation in rheumatoid arthritis patients. Turk J Phys Med Rehab 2006;52:158-62
  7. Gadallah MA, Boulos DN, Gebrel A, Dewedar S, Morisky DE. Assessment of rheumatoid arthritis patients' adherence to treatment. Am J Med Sci 2015;349:151-6
  8. Müller R, Kallikorm R, Põlluste K, Lember M. Compliance with treatment of rheumatoid arthritis. Rheumatol Int 2012;32:3131-5
  9. Solomon DH, Bitton A, Katz JN, Radner H, Brown EM, Fraenkel L. Review: treat to target in rheumatoid arthritis: fact, fiction, or hypothesis? Arthritis Rheumatol 2014;66:775-82
  10. Smolen JS, Breedveld FC, Burmester GR, Bykerk V, Dougados M, Emery P, et al. Treating rheumatoid arthritis to target: 2014 update of the recommendations of an international task force. Ann Rheum Dis 2016;75:3-15
  11. Aletaha D, Neogi T, Silman AJ, Funovits J, Felson DT, Bingham CO, et al. 2010 rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Ann Rheum Dis 2010;69:1580-8
  12. Cole TJ. Weight-stature indices to measure underweight, overweight and obesity. In: Himes JH, editor. Anthropometric assessment of nutritional status. New York: Wiley-Liss; 1991. p. 83-111
  13. Hacıhasanoğlu Aşılar R, Gözüm S, Çapık C, Morisky DE. Reliability and validity of the Turkish form o