What Factors Affect Treatment Effectiveness in Rheumatoid Arthritis: A Multidimensional Measurement

Year 2023, Volume: 7 Issue: 1, 284 - 292, 31.01.2023

Gülnur İlgün , Bayram Şahin

https://doi.org/10.30621/jbachs.1102242

Abstract

Purpose: The aim of the study was to examine the effects of socio-demographic characteristics, disease-related characteristics and health care use related-characteristics on the treatment effectiveness of rheumatoid arthritis patients, both separately and together.
Methods: The sample of the study consisted of 440 rheumatoid arthritis patients for 99% confidence level, and this sample was reached based on the convenience sampling method. Patients who received at least one anti-TNF therapy were included in the study. Treatment effectiveness levels of rheumatoid arthritis patients were measured with a questionnaire. In the analysis of the study, four different regression models were established. In the first model, socio-demographic characteristics; in the second model, disease characteristics; in the third model, health care use characteristics: in the fourth model, the effect of all these variables on treatment effectiveness was examined.
Results: In the study, smoking status, age (socio-demographic characteristics), drug regimen complexity, comorbidity status, education about the disease, disease duration (disease characteristics), and a number of admissions (health care use characteristics), were found to have a significant effect on treatment effectiveness.
Conclusion: In the study, the factors affecting the treatment effectiveness were determined. Therefore, it is important to consider these factors revealed in this study in order to increase the treatment effectiveness in patients with rheumatoid arthritis.

Keywords

Rheumatoid arthritis, treatment effectiveness, Anti-TNF therapy

Supporting Institution

Yok

Project Number

Yok

Thanks

We would like to thank Umut Kalyoncu (PhD), Şaziye Şule Apraş Bilgen (PhD) and Levent Kılıç (PhD) who Hacettepe University Faculty of Medicine Department of Internal Medicine faculty members

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