The effectiveness of a multi-dimensional intervention model combining cognitive behavioral therapy and social support in hospitalized depressed patients

认知行为疗法和社会支持相结合的多维度干预模式对住院抑郁症患者的疗效

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Abstract

BACKGROUND: Depression management in hospitalized patients with moderate-to-severe major depressive disorder (MDD) often relies on pharmacotherapy, with limited integration of psychosocial interventions. This study introduces a novel multidimensional model combining cognitive-behavioral therapy (CBT) and structured social support, addressing a critical gap in inpatient care. METHODS: This single-center retrospective cohort study included 212 inpatients diagnosed with moderate-to-severe MDD between November 2023 and December 2024. Patients were assigned to either routine care (n = 104) or an intervention group (n = 108) receiving CBT and a structured, multi-level social support program in addition to standard treatment. The intervention included biweekly CBT sessions, family involvement, peer support, enhanced nurse-patient communication, and post-discharge follow-up. Depression (HAMD, PHQ-9), anxiety (HAMA), social support (MSPSS), suicidal ideation (BSI), quality of life (WHOQOL-BREF), and patient satisfaction were assessed at baseline, discharge, and at two and four weeks post-discharge. RESULTS: A total of 212 patients were included. Compared with routine care, the intervention group showed significantly greater improvements in depressive symptoms (HAMD at 4 weeks: 12.1 vs. 16.0, p < 0.001; PHQ-9: 8.8 vs. 12.4, p < 0.001), anxiety, social support, suicidal ideation, and quality of life (all p < 0.001). Social support was negatively correlated with depression severity, and the intervention (OR = 2.45) and good sleep quality (OR = 1.89) were independent predictors of treatment response. Sensitivity analyses confirmed results robustness. CONCLUSION: This novel integration of CBT and structured social support significantly enhances clinical outcomes and reduces suicide risk in hospitalized patients with depression, offering a scalable, patient-centered model. However, the retrospective design limits causal inferences, requiring prospective studies for validation. Its standardized design suggests potential applicability across diverse healthcare settings with cultural adaptations. CLINICAL TRIAL NUMBER: Not applicable.

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