Background A thorough psychosocial assessment is time-consuming, often requiring multiple sessions to uncover the psychological factors contributing to mental illness, such as depression. The duration varies depending on the severity of the patient’s condition and how effectively the psychotherapist can establish rapport. However, prolonged assessment periods pose a significant risk of patient deterioration.
Methods The comprehensive psychosocial intervention, led by the Multi-Criteria Decision-Making (MCDM) approach utilizing the Multi-Objective Optimization by Ratio Analysis (MOORA) method, played a pivotal role in identification of the key psychological factors contributing to the depression of the client among the 21 facotrs specified by BDI-II analysis.
Results The integration of the MCDM-MOORA strategy compared to traditional psychotherapy demonstrates a Jaccard similarity coefficient of 0.8, with a minimum error margin of 7% (vulnerability index = 0.57), indicating a significant agreement between the two approaches, both converging towards a similar solution.
Conclusion The implementation of MOORA facilitated the identification and prioritization of key psychosocial intervention strategies, making the process 45.5 times faster compared to traditional methods. This acceleration significantly contributed to the precision and efficacy of the work. Additionally, critical vulnerable factors were identified through ordered statistics and correlation analysis (Pearson (r) = 0.8929 and Spear-man’s rank (ρ) = 0.7551) on the Beck Depression Inventory-II model. These findings were supported by other MCDM schemes such as EDAS and TOPSIS, etc. Moreover, the proposed method demonstrated high stability and robustness in dynamic decision-making environments, maintaining consistency across scenarios adapted by different psychotherapists. Overall, the combined application of MCDM (MOORA) and targeted psychological interventions yielded substantial positive outcomes in enhancing the well-being of individuals with psychological illnesses e.g., depression, cognitive, affective, somatic syndromes.