Evidence map›Paper›PMID 39385215›Full record

ArticleAnnals of general psychiatry2024

Accelerating depression intervention: identifying critical psychological factors using MCDM-MOORA technique for early therapy initiation.

Pratham Majumder, Arkita Pal, D Ramya Dorai, B Gopinathan, Saurav Mallik, Naim Ahmad, Ahmed Said Badawy, Suresh Babu Changalasetty

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Article in Annals of general psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Pratham MajumderJain (Deemed-to-Be) University, Jain Global Campus, Bangalore, India.
Arkita PalThe Inference, Mental Health Clinic, Kolkata, West Bengal, India.
D Ramya DoraiJain (Deemed-to-Be) University, Jain Global Campus, Bangalore, India.
B GopinathanDepartment of CSE, Adhiyamaan College of Engineering, Hosur, India.
Saurav MallikDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA. smallik@arizona.edu.
Naim AhmadCollege of Computer Science, King Khalid University, 62529, Abha, Saudi Arabia. nagqadir@kku.edu.sa.
Ahmed Said BadawyCollege of Computer Science, King Khalid University, 62529, Abha, Saudi Arabia.
Suresh Babu ChangalasettyCollege of Computer Science, King Khalid University, 62529, Abha, Saudi Arabia.

Funding

Deanship of Scientific Research at King Khalid University RGP1/306/44
6 · The paper itself

Abstract

backgroundA 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.

methodsThe 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 identifying the key psychological factors contributing to the depression of the client among the 21 factors specified by BDI-II analysis.

resultsThe integration of the MOORA strategy compared to traditional psychotherapy on 254 samples 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. For patients with extreme depression, the number of sessions reduced from 18 ± 2 to 11 ± 2, showing a 33-35% reduction (χ

conclusionThe implementation of MOORA facilitated the identification and prioritization of key psychosocial intervention strategies, making the process significantly faster compared to traditional methods. This acceleration greatly enhanced the precision and efficacy of the work. Additionally, critical vulnerable factors were identified through ordered statistics and correlation analysis [Pearson (r) = 0.8929 and Spearman'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, demonstrating 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, such as depression, cognitive, affective, and somatic syndromes.

Indexed as

Dynamic decision-makingMental health interventionMulti-criteria decision-making (MCDM)Treatment efficacy

Identifiers

PMID39385215
PMCPMC11465568

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.