The Impact of Intelligent Medical Systems Combined with Interdisciplinary Care Teams on Home-Based Elderly Population's Quality of Life.

BACKGROUND

This study examines the efficacy of an intelligent medical-elderly care integration model for improving quality of life among homebound seniors in Yuhua District, Changsha, China.

METHODS

A randomized controlled trial was conducted from May 2022 to April 2024 with 100 participants allocated equally to control and intervention groups through convenience sampling. While both groups received standard care, the intervention group additionally received intelligent care services. Outcomes were assessed using Activities of Daily Living (ADL), Physical Activity Performance (PAP), and Social-Cognitive Adaptation Assessment (SCAA) scales.

RESULTS

The intervention group demonstrated statistically significant improvements across all measures (P<0.05), with particularly notable outcomes in disability level transitions: moderate disability cases increased from 26% to 70%, while severe cases decreased from 58% to 14% (P<0.05). Comparative analysis revealed the intervention group significantly outperformed controls in PAP and SCAA scores (P<0.05).

CONCLUSION

The intelligent care model proves effective in enhancing functional capacity and reducing care dependency among homebound elderly, offering valuable insights for elderly care service optimization. Further research should explore long-term sustainability and cost-effectiveness.