Attention: neuropsychological predictor of competency in Alzheimer's disease.
ABSTRACT This study was undertaken to examine the relationship between two different competencies, financial and medical decision making, and explore whether neuropsychological testing can identify a common underlying cognitive operation impaired in patients with AD. The objective was to examine the neuropsychological predictors of financial and medical decision-making competencies in patients with Alzheimer's disease (AD). Twenty individuals with mild to moderate AD and 20 control subjects matched for age and education were evaluated at a university medical center. All participants were administered a financial competency questionnaire, a competency test for medical decision making, and a set of standardized neuropsychological tests selected to reflect cognitive processes theoretically related to competency. In addition, an informant provided information regarding banking history for each participant. AD patients performed more poorly on all measures, including both measures of competency, which were highly related (R = .718, P < .001). Two tests, Trails A and Word List Recall, were significantly correlated with both competency measures, with Trails A predicting over 85% of the variance in competency scores. Trails A discriminated competent from not competent participants with an accuracy ranging from 77% to 82%. Measures of financial and medical decision-making competency were significantly correlated among patients with AD. One brief neuropsychological test of attention, Trails A, proved to be highly predictive of performance on both competency measures and useful in the discrimination of competent performance on these measures and by informant report.
- SourceAvailable from: Plácido Rogério PinheiroInternational Conference on Bioinformatics & Computational Biology, BIOCOMP 2010, July 12-15, 2010, Las Vegas Nevada, USA, 2 Volumes; 01/2010
- [Show abstract] [Hide abstract]
ABSTRACT: The Alzheimer's disease has become the most frequent cause of dementia in the last few years, and it is responsible, alone or in association with other diseases, for 50% of the cases in western countries. The main focus of this work is to develop a multicriteria model for aiding in decision making on the diagnosis of Alzheimer's disease by using the Aranau Tool, structured on the Verbal Decision Analysis. In this work, the modeling and evaluation processes were conducted with the aid of a medical expert, bibliographic sources and questionnaires. The questionnaires taken into account were based mainly on patients' neuroimaging tests, and we analyzed wheter or not there were problems in the patients' brain that could be relevant to the diagnosis of Alzheimer's disease.Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on; 12/2009
- [Show abstract] [Hide abstract]
ABSTRACT: Informed consent to nursing home research is a two-tiered process that begins with obtaining the consent of a long-term care community at the institutional level and progresses to the engagement of individuals in the consent process. Drawing on a review of the literature and the authors' research experiences and institutional review board service, this article describes the practical implications of nurse investigators' obligation to ensure informed consent among participants in long-term care research. Recommendations focus on applying a community consent model to long-term care research, promoting an evidence-based approach to the protection of residents with decisional impairment, and increasing investigators' attention to ethical issues involving long-term care staff.Research in Gerontological Nursing 07/2009; 2(3):153-61. DOI:10.3928/19404921-20090428-03 · 0.61 Impact Factor