A screening system for Michigan's home- and community-based long-term care programs.
OBJECTIVE
To develop a screening system for Michigan's MI Choice publicly funded home- and community-based services programs, to aid in identifying both individuals eligible for services and their most appropriate level of care (LOC).


METHODS
Identify assessment items from the Minimum Data Set for Home Care (MDS-HC) assessment instrument that are predictive of five LOCs determined by expert care managers: nursing home, home care, intermittent personal care, homemaker, and information and referral (without services).


RESULTS
The algorithm based on approximately 30 client characteristics agrees with expert opinions substantially better (kappa =.62) than systems based on activities of daily living and instrumental activities of daily living only (kappa <.40).


CONCLUSIONS
The screening algorithm can be used both over the telephone to identify clients who will not be fully assessed (as they are unlikely to receive services) and in person to recommend the appropriate LOC.
Fries
Brant E
BE
Institute of Gerontology and School of Public Health, University of Michigan, Ann Arbor 48109-2007, USA. bfries@umich.edu
Shugarman
Lisa R
LR
Morris
John N
JN
Simon
Samuel E
SE
James
Mary
M
D000465:Algorithms; D003625:Data Collection; D006699:Home Care Services / Q000191:economics*; D008134:Long-Term Care / Q000191:economics*; D008824:Michigan; D018579:Patient Selection