Predictors of nursing home admission among Alzheimer's disease patients with psychosis and/or agitation.
BACKGROUND
The purpose of this study is to identify factors that predict nursing home placement among community-dwelling Alzheimer's disease (AD) patients with psychosis and/or agitation in a randomized clinical trial (ClinicalTrials.gov number, NCT00015548).


METHODS
418 participants with AD enrolled in the Clinical Antipsychotic Trial of Intervention Effectiveness - AD (CATIE-AD) trial of anti-psychotic medications and having no evidence of nursing home use at baseline were followed at 9 months post-random assignment using data provided by caregiver proxy. χ2 tests, t-tests and Cox proportional hazard modeling were used to examine the baseline correlates of nursing home use.


RESULTS
Of outpatients with no prior nursing home use, 15% were placed in a nursing home in the 9 months following baseline, with the average time to placement being 122 days. Bivariate analyses indicate that those with prior outpatient mental health use at study entry were more likely to be admitted; so too were those with worse physical functioning - i.e. lower scores on the AD Cooperative Study Activities of Daily Living Scale (ADCS-ADL), lower utility scores on the Health Utility Index (HUI)-III, and worse cognition on the Mini-mental State Examination. Controlling for other factors, non-Hispanic white race (hazard ratio [HR] = 2.16) and prior mental health use (HR = 1.87) increased the likelihood of admission. Those with higher ADCS-ADL scores were less likely to be placed (HR = 0.97).


CONCLUSIONS
Factors leading to nursing home entry among psychotic/agitated AD patients are similar to the general population, though high incidence of nursing home entry highlights the importance of accounting for such utilization in health economic studies of AD outcomes. It also highlights the importance of using information on ADLs and other characteristics to develop profiles identifying those at greater or lesser risk of nursing home entry and, in so doing, inform population planning associated with AD and identification of those patients and caregivers who might benefit most from interventions to prevent eventual placement.
Miller
Edward Alan
EA
Department of Gerontology and Gerontology Institute, McCormack Graduate School of Policy Studies, University of Massachusetts Boston, Boston, MA 02125, USA. edward.miller@umb.edu
Schneider
Lon S
LS
Rosenheck
Robert A
RA
D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D000544:Alzheimer Disease / Q000150:complications / Q000451:nursing* / Q000523:psychology; D003071:Cognition; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D008297:Male; D009735:Nursing Homes / Q000706:statistics & numerical data*; D010343:Patient Admission; D011595:Psychomotor Agitation / Q000209:etiology*; D011618:Psychotic Disorders / Q000209:etiology*; D012307:Risk Factors; D013997:Time Factors