Screening and Priority-Setting to Determine Home- and Community-Based Aging Services for Older Floridians.

The National Aging Network serves millions of older Americans seeking home- and community-based services, but places others on waitlists due to limited resources. Little is known about how states determine service delivery and waitlists. We therefore conducted a process evaluation and analyzed data from one five-county Area Agency on Aging in Florida, where an algorithm calculates clients' priority scores for service delivery. From 23,225 screenings over 5.5 years, clients with higher priority scores were older, married, living with caregivers, and had more health problems and needs for assistance. Approximately 51% received services (e.g., meals/nutrition, case management, caregiver support), 11% were eligible/being enrolled, and 38% remained on waitlists. Service status was complex due to multiple service enrollments and terminations, funding priorities, and transfers to third-party providers. More research is needed regarding how other states determine eligibility and deliver services, potentially informing national standards that promote optimal health in older Americans.

Longitudinal Analysis of Mortality for Older Adults Receiving or Waiting for Aging Network Services.

OBJECTIVES: For older adults screened by an Area Agency on Aging (AAA) in the National Aging Network, we aimed to examine the 12-month mortality rate for wait-listed callers compared with those who received services within 12 months, and to assess whether the mortality rate differed according to how quickly they received services. DESIGN: The design was a longitudinal analysis of 3 years of AAA administrative data, using survival analysis. SETTING: The data source was administrative data from an AAA spanning a five-county region in west central Florida. PARTICIPANTS: All older adults (age 60 y and older) screened for service eligibility from July 15, 2013, to August 15, 2015, who completed initial screening during the study period were included (N = 6288). MEASUREMENTS: The outcome was mortality within 12 months of the initial screening. Covariates included demographics, caregiver status, health status, access to healthcare, and AAA service status. RESULTS: In the first survival analysis, the strongest predictor was waiting for services compared with receiving services; waiting increased the odds to die vs not to die by 141%, after controlling for health status and other covariates. In the second survival analysis, those who received services within 0 to 3 months had a higher mortality risk compared with those who received services within 6 to 9 months or 9 to 12 months. CONCLUSION: Older adults placed on aging service waiting lists may be at a greater risk of mortality within 12 months than those receiving services. Given that rapid receipt of services was less protective than receiving services later, those prioritized to receive services quickly may be at very high risk of adverse outcomes. Findings raise the possibility that aging services may lower mortality, although additional services may benefit those waiting long periods for services, as well as those eligible for services rapidly. Research is needed to replicate and extend these findings. J Am Geriatr Soc 68:519-525, 2020.