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Background: Although there has been much research devoted to understanding the predictors of nursing home placement (NHP) in Alzheimer's disease (AD) patients, there is currently a lack of research concerning the predictors of home health care. The objective of this study was to examine whether the Dependence Scale can predict home health aide (HHA) use.Methods: The sample is drawn from the Predictors Study, a large, multicenter cohort of patients with probable AD, prospectively followed annually for up to 7 years in three university-based AD centers in the United States. Markov analyses (n=75) were used to calculate annual transition probabilities for the "new onset" of HHA use (instances where an HHA was absent at the previous visit, but present at the next visit) as a function of HHA presence at the preceding year's visit and dependence level at that preceding year's visit.Results: The dependence level at the previous year's visit was a significant predictor of HHA use at the next year's visit. Three specific items of the Dependence Scale (needing household chores done for oneself, needing to be watched or kept company when awake, and needing to be escorted when outside) were significant predictors of the presence of an HHA.Conclusion: The Dependence Scale is a valuable tool for predicting HHA use in AD patients. Obtaining a better understanding of home health care in AD patients may help delay NHP and have a positive impact on the health and well-being of both the caregiver and the patient. [ABSTRACT FROM AUTHOR]

Background: Assisted living is a popular residential option for older individuals, yet little research has been done on people choosing this option. This study examines predictors of functional impairment in assisted living residents in the domains of cognition, mood, and health.Methods: An experienced team of neuropsychiatrists, nurses, and technicians using a number of cognitive, behavioral, health, and functional status tests and a cross-sectional study design assessed 198 residents of 22 assisted living facilities in Maryland. Data from these evaluations were used in univariate and multiple regression models to identify predictors of functional impairment, operationalized as the sum of the scores on two scales, one measuring impairment in basic activities of daily living and one measuring impairment in instrumental activities of daily living.Results: Greater cognitive impairment, worse depression, and worse medical health were significant independent predictors of functional impairment, together explaining a sizeable portion of the variance (adjusted R2=0.434). None of the demographic variables examined individually, including age and education, was predictive of functional impairment. In an analysis of specific cognitive domains, executive dysfunction, impairment of visuospatial skills, and amnesia were significant predictors of impairment, whereas inattention was not.Conclusion: Executive dysfunction, apraxia, memory impairment, depression, and general medical health are all significant predictors of functional impairment in assisted living residents, with executive dysfunction being the strongest. These results may be instrumental in developing a more efficient model of care for residents of assisted living facilities, one based on having accurate predictive models of degree of impairment. [ABSTRACT FROM AUTHOR]

Background. Medications often represent the first line of defense in preventing or delaying the progression of chronic diseases. The health implications of improper medication compliance, and failure to identify it, are considerable. The authors thus developed and validated the Hopkins Medication Schedule (HMS), a new objective test of one's ability to understand and implement a routine prescription medication. Methods. The authors gave a hypothetical physician's prescription for two common medications (antibiotics and aspirin) to 360 high-functioning, community-dwelling, older participants in the Women's Health and Aging Study II and asked them to fill in a daily schedule for taking these medications and to fill in the compartments of a daily pillbox. These scored and timed performances were evaluated for their ability to predict concurrent and 3-year participant-reported difficulty in performing instrumental activities of daily living (IADLs) and for their associations with memory and attention. Results. Although fewer than 2% of participants reported difficulty in taking medications, nearly 22% were completely unable to complete the schedule, fill the pillbox, or both. The 7% of participants who reported difficulty in any IADL also performed poorly on the HMS. In addition, performance on the schedule and the pillbox predicted concurrent difficulty. In adjusted regression analyses, the schedule was most highly associated with memory and the pillbox with learning and executive function. Conclusions. The HMS had concurrent validity for participant-reported IADL difficulty. Furthermore, in community-dwelling older women who largely reported no difficulty in taking medications, the HMS identified nearly 22% who could not write or implement a routine medication regimen. This standardized measure may identify those at increased risk for poor medication adherence and, more broadly, IADL difficulty. [ABSTRACT FROM AUTHOR]

Background: The purpose of this study was to develop an algorithm that predicts survival in patients with dementia upon entry into long-term care. There are, as yet, no predictive equations developed for those in the late stages of Alzheimer's disease (AD).Methods: This was a prospective, observational study of 132 patients with dementia (61% with AD) followed for up to 5.0 years (median of 41.0 months) after admission to a long-term care facility for dementia patients. Information on demographic characteristics, physical health, and cognitive, emotional, and behavioral characteristics was collected shortly after admission and entered as predictors of time until death in Cox regressions. Findings were used to derive an index predicting mortality.Results: There were 60 deaths among the 132 patients (45.4% mortality), with an average survival of 22.4 months in those who died. Better physical health and the presence of delusions were associated with longer survival. These two variables were aggregated into the Copper Ridge Index (CRI). Each one-point increase on the CRI was associated with a four-fold greater likelihood of death over 5 years.Conclusions: A predictive equation incorporating measures of general physical health and delusions accurately predicted time to death in dementia patients in long-term care. [ABSTRACT FROM AUTHOR]