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Original Research Article | OPEN ACCESS

Effectiveness of mental therapy for poor medication adherence in depression: A review

Shuyin Xu, Bangshan Liu, Yan Zhang

Mental Health Institute, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China;

For correspondence:-  Yan Zhang   Email: zhangyan_psychia@126.com   Tel:+8613807315182

Accepted: 24 July 2020        Published: 31 August 2020

Citation: Xu S, Liu B, Zhang Y. Effectiveness of mental therapy for poor medication adherence in depression: A review. Trop J Pharm Res 2020; 19(8):1785-1792 doi: 10.4314/tjpr.v19i8.30

© 2020 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To review the effectiveness and underlying mechanism of different types of psychotherapy to improve medication adherence (MA).
Methods: In this review, the status and possible factors influencing medication adherence in patients with depression patients based on information obtained from various literature.
Results: Although the focus of psychologists' analysis of the causes and solutions of mental illness is different, several of these therapies can improve patient compliance with their medications. An effective psychotherapy can change patients’ attitudes towards disease and help them reduce the disease recurrence rate.
Conclusion: Psychotherapy has an irreplaceable role in dealing with the major depressive disorder. This review aimed to provide effective instructions for improving medication adherence and reducing disease relapse and recurrence in the future.

Keywords: Depression, Medication adherence, Psychotherapy

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

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