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This study explored to what extent personal and environmental factors, as defined by the ecological model of aging, help us to understand length of stay in assisted living (AL). A convenience sample (N = 218) of administrative records of AL residents admitted between the years 2006 and 2011 was collected and included AL residents' demographic and healthcare information as well as dates of admission and discharge. Cox regression was used to determine which personal and environmental factors influenced length of stay in three AL programs. Number of medical diagnoses, level of care score, and facility were found to be significant predictors of length of stay. The analyses identified a median survival time of 32 months as well as critical periods for discharge from AL. Implications for future research and social work practice are presented.
Noelle Fields (Sat,) studied this question.