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. 2024 Sep 28;24(1):276.
doi: 10.1186/s12911-024-02692-z.

Identifying the most critical side effects of antidepressant drugs: a new model proposal with quantum spherical fuzzy M-SWARA and DEMATEL techniques

Gökhan Silahtaroğlu  1 , Hasan Dinçer  1 , Serhat Yüksel  1 , Abdurrahman Keskin  2 , Nevin Yılmaztürk  3 , Alperen Kılıç  4
Affiliations

Identifying the most critical side effects of antidepressant drugs: a new model proposal with quantum spherical fuzzy M-SWARA and DEMATEL techniques

Gökhan Silahtaroğlu et al. BMC Med Inform Decis Mak. .

Abstract

Identifying and managing the most critical side effects encourages patients to take medications regularly and adhere to the course of treatment. Therefore, priority should be given to the more important ones, among these side effects. However, the number of studies that make a priority examination is limited. There is a need for a new study that determines which of these effects are more priority to increase the quality of the treatment. Accordingly, this study aims to define the most important side effects of antidepressant drugs with a novel model. Quantum Spherical fuzzy M-SWARA technique is considered to compute the importance weights of the items. The main contribution of this study is that the most critical side effects can be understood for antidepressant drugs by establishing a novel decision-making model. The findings demonstrate that psychological side effects are defined as the most critical side effects of antidepressant drugs. Furthermore, physical side effects also play a key role in this condition. Side effects in antidepressant treatment have a great impact on the effectiveness of treatment and patient compliance.

Keywords: Antidepressant drugs; Correct drug use; Fuzzy logic; Multi-criteria decision making; Side effect.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of the proposed model
Fig. 2
Fig. 2
Comparative Weighting Results
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