Evaluation of a multifunctional technology system in a memory care unit: Opportunities for innovation in dementia care

ABSTRACT

Introduction: Stimulating recreational and leisure activities (RLAs) are essential to physical and mental well-being; however, people living in memory care units (MCUs) may lack access to them. Technology has the potential to facilitate and enrich activity engagement in this context. Objectives: In this 6-month study, we evaluated a commercially available system designed to encourage the engagement of people with dementia in activities and social interactions, using a mixed-methods approach in a MCU. Methods: Quantitative measures included those to evaluate cognition, depression, quality of life, and resource utilization. We qualitatively evaluated the system using semi-structured interviews with family members and staff. Five residents with dementia, four family members, and seven staff were included in the 6-month study. Results: Staff and family members reported benefits for residents such as enjoyment, interactions and connections with others, and mental stimulation. Findings also highlight challenges such as technical and ethical concerns. Factors that influence system use and integration are also discussed. Conclusion: It was feasible to introduce a system designed for recreation and engagement in a MCU, and staff, family members, and residents experienced benefits. However, barriers existed in the introduction and use of the system.

KEYWORDS:

• Dementia
• games
• ICT
• memory care unit
• quality of life technology

Acknowledgments

Thanks to the HEALTH-E group and Laura Kneale for feedback and assistance on this project and Jonathan Joe for help with early stages of the research.

Declaration of interest

The authors report no conflicts of interest.

Funding

This work was supported by the National Science Foundation Graduate Research Fellowship [Grant DGE-1256082] and the National Library of Medicine Biomedical and Health Informatics Training Grant Program [Grant T15LM007442].

Additional information

Funding

This work was supported by the National Science Foundation Graduate Research Fellowship [Grant DGE-1256082] and the National Library of Medicine Biomedical and Health Informatics Training Grant Program [Grant T15LM007442].