189. Effectiveness enhancement of psychological intervention services through process optimization

Abstract Background Currently, psychological intervention services still require improvements in process standardization, personalized programming, and sustained efficacy, which limits their overall effectiveness. Although structured intervention models have been widely adopted, empirical research on systematic process optimization remains insufficient, particularly lacking in-depth exploration of efficacy mechanisms and sustainability. To address this, we designed an optimized service process integrating evaluation, personalized interventions, and long-term follow-up. This study aims to assess its effectiveness in alleviating psychological symptoms, enhancing mental resilience, and improving service satisfaction, thereby providing empirical evidence for service improvement in the field of psychotherapy. Methods The study enrolled 400 students receiving psychological services at a university, randomly assigned to either an optimized process group or a conventional process group, with 200 participants in each group. The optimized process group underwent a 12-week systematic intervention, including preliminary assessments using the Symptom Checklist-90 (SCL-90) and the Connor-Davidson Resilience Scale (CD-RISC), individualized intervention plans, regular progress feedback, and a three-month post-intervention follow-up. The conventional process group received general support interviews and standardized counseling. Assessments were conducted using the SCL-90 and CD-RISC at pre-intervention, post-intervention, and three months post-intervention. Data analysis employed repeated-measures ANOVA and independent samples t-tests. Results The optimized process group demonstrated significant improvements across all metrics, with sustained effects. Table 1 summarizes the key data of both groups at three time points. The data in Table 1 show that both the total score of SCL-90 and the score of CD-RISC in the optimized process group have achieved significant and continuous improvements compared with those before the intervention (all p<.001), while the change range in the conventional process group is limited. In terms of service satisfaction, the score of the optimized process group was also significantly higher than that of the conventional group (p<.001). Discussion Research demonstrates that process optimization through systematic, structured, and personalized approaches can significantly enhance the sustainability of psychological interventions while improving participants' psychological resilience and service satisfaction. This model highlights the critical role of evaluation and feedback in the intervention process, facilitating the transition from standardized to precision-oriented services. Future studies should further explore the applicability of this process across different clinical populations and integrate digital tools to enable dynamic monitoring and adaptive adjustments during interventions, thereby advancing psychological services toward more efficient and sustainable development.