The Effect of the Care Ecosystem Collaborative Care Model on End-of-Life Outcomes for People With Dementia and Their Caregivers.

In 30 seconds

This mixed-methods analysis of a randomized controlled trial evaluated the telephone-based Care Ecosystem collaborative care model in people with dementia and their caregivers, focusing on end-of-life outcomes. Compared with usual care, caregivers in the Care Ecosystem group reported higher self-efficacy before the person with dementia died (adjusted unstandardized Beta 0.94, 95% CI 0.23, 1.65, P = 0.01). Satisfaction with end-of-life care did not differ significantly between groups (adjusted odds ratio 1.42, 95% CI 0.67, 2.99, P = 0.36). Qualitative feedback identified valued support as well as unmet needs around guidance, hospice information and referral, and care coordination.

Key findings

• Care Ecosystem caregivers had higher pre-death self-efficacy than usual-care caregivers (adjusted unstandardized Beta 0.94, 95% CI 0.23, 1.65, P = 0.01).
• Caregiver satisfaction with end-of-life care did not differ between groups (adjusted odds ratio 1.42, 95% CI 0.67, 2.99, P = 0.36).
• Participants valued emotional and practical support but wanted more anticipatory guidance, hospice information and earlier referral, and improved healthcare-team coordination.

Why it matters

End-of-life care for people with dementia involves substantial caregiver needs. These findings suggest collaborative care navigation may support caregiver confidence, while not necessarily improving satisfaction with end-of-life care. Participant feedback also points to practical gaps—particularly preparation for end of life, hospice guidance, and coordination—that may inform efforts to improve support.

What to keep in mind

The abstract does not report additional limitations; the findings concern end-of-life outcomes within a specific collaborative care trial and do not establish effects beyond the outcomes measured.