EXploring Patterns of Use and Effects of Adult Day Programs to Improve Trajectories of Continuing CarE

Day program use patterns will be determined, using Latent Class Analysis. Three continuous variables will be categorized as low, low-moderate, high-moderate, high, using sample distribution quartiles: (1) Time between first RAI-HC assessment and first attendance of a day program, (2) average number of hours of day program attendance (i.e., total number of hours spent in a day program divided by the number of times attended), and (3) total number of days a person attended a day program.

Any publicly funded continuing care services in the community, other than adult day programming (e.g., home care, in-home respite). Community care participants will be propensity score matched with day program participants, using RAI-HC variables on day program eligibility (to ensure similarity of non-attendees to day program attendees). Matching variables will include: physical functioning, cognition, behavioural symptoms, bladder/bowel continence, availability of a caregiver, and caregiver distress. The investigators will also include variables on health and social characteristics (e.g., age, sex, type/duration of publicly funded community care received before the matching index date, deprivation indices).