Abstract
With an aging population, anticipated increase in dementia cases and the emergence of transitional care units (TCU) serving these individuals, healthcare providers are looking to the future of smart technologies (DementiaTech) to assist in providing care to persons living with dementia (PLWD). Our research aimed to understand how DementiaTech can be effectively implemented and evaluated in a hospital transitional care setting to enhance the quality of life of dementia patients. This paper outlines the challenges we faced in implementing methods to suit the nuances of this context, recovery strategies to adapt the study to probe the research objective, and the results of our adaptations. The study had 2 phases: 1) analyze nighttime workflows in a TCU to implement a sensor-based motion monitoring system that can track patient activity overnight to enhance staff situation awareness (SA) of risk factors related to care; 2) develop a mobile application (app) based on information from patient’s caregivers/family members what they feel is important to know about the daily activity of the patient to involve them in care. During Phase 2, recruiting participants in TCUs presented multifaceted challenges such as staff member turnover, lost participants due to the linear approach of the study and the long lead times with recruitment over time. In response, our team developed alternative methods to explore the research objective which included involving subject matter experts from the steering committee and TCU management to provide their perspectives to develop a preliminary understanding from a clinical perspective. Our results highlight the insights gained from these ‘alternative’ participant groups, followed by a discussion of lessons learned to address engagement challenges. Despite recruitment difficulties, the study provides preliminary insights on developing apps to support caregivers/family members in staying connected to patients in TCUs.