LAUSR

OBJECTIVE To identify home care clients with substantial functional deficits who had capacity to improve and, thus, for whom recovery goals should be articulated. DESIGN Retrospective longitudinal analysis of an international home care database. SETTING AND PARTICIPANTS 523,907 persons receiving home care, having 2 assessments, on average, 8 months apart. MEASURES Recovery algorithm variables included counts of dependencies of activities of daily living (ADL) and instrumental ADL (IADL) tasks, hospitalization in the last 30 days, functional decline in the last 90 days, and self-belief in one's capacity to improve. Primary dependent variable was improvement in the IADL-ADL Functional Hierarchy Scale. RESULTS The Recovery Algorithm has 7 graded levels: the top 3 represent approximately 9% of home care clients, whereas the bottom level (where recovery is least likely to occur) includes 60% of home care clients (many with higher counts of extensive ADL or IADL dependencies). The improvement rates rise from 6.9% to 47.2% across the 7 levels of the algorithm. This relationship between change in IADL-ADL Functional Hierarchy Scale scores and Recovery Algorithm levels remained strong across age categories and cognitive performance levels. Higher rates of improvement occurred for persons who received physical therapy. CONCLUSIONS/IMPLICATIONS The Recovery Algorithm is based on a mix of positive risk indicators and the person's challenged baseline functional status. For persons with higher scores on the algorithm, recovery is expected and should be considered in care plan goals. In addition, use of physical therapy increases the probability of recovery.