Background: Malnutrition is associated with long-term complications such as functional decline and morbidity. However, there are no standardized local guidelines on nutritional care post-discharge. This study aims to evaluate the implementation of SUPREME-PLuS, a nurse-led quality improvement project which was developed to improve the hospital-to-home transition. It comprises checklists, patient education and post-discharge follow-up calls. Methodology: A single institution prospective cohort study was performed. All adult patients who undergone elective colorectal surgeries were included. Day surgeries and emergency surgeries were excluded. A mixed-methods approach was utilised to evaluate the implementation of SUPREME-PLuS in accordance with the RE-AIM framework. Qualitative analysis comprised interviews conducted in a semi-structured format. Subsequently, a thematic analysis was performed based on the Theoretical Domains Framework. Quantitative analysis was utilised to describe the baseline cohort characteristics and perform statistical analyses of pre- and post-intervention outcomes. Results: Among 101 patients with a mean age of 68.1 ± 10.4, there was a statistically significant increase in the nutritional assessment scores (p<0.05) and confidence in self-management scores (p<0.05). The median EQ-5D-5L scores was maintained pre-operatively, with a slight decrease after the implementation of SUPREME-PLuS (p=0.110). The 30-day readmission rate decreased (9.0% vs 6.9%, p=0.462). Readmissions attributed to malnutrition declined as well (3.6% vs 0%, p<0.05). The main barriers to the execution of SUPREME-PLuS were manpower limitations, insufficient training, and separate workflows leading to inconsistent implementation. Accordingly, regular knowledge reinforcements by the QI team helped to address such problems. Conclusion: SUPREME-PLuS is a cost-effective intervention which mitigates the risks of malnutrition and reduces readmission rates. Sustainability can be improved by leveraging technology to simplify operational workflows.