부산대학교 도서관

To purchase or authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1442-2018.2008.00379.x Byline: Shu-li Chen (1), Linda Mefford (1), Janet Brown (1), Marie Hsu (2), Rebecca Clem (1), Lindsay Newman (1) Keywords: aged; gerontology; living arrangements; logistic regression; older adults; secondary data analysis Abstract: Abstract The purpose of this study was to identify the predictors of home stay for American elders. This study used a cross-sectional, descriptive, secondary data analysis design. The National Home and Hospice Care Survey 2000 (NHHCS 2000) public-use data files were used for this study. The sample included 9879 elders who were listed as either current or discharged patients from the NHHCS 2000. Based on multiple logistic regression analysis, the most predictive variable for an elder's home stay was whether the elder was currently living with family members. The overall model of 16 predictors was statistically significant in distinguishing between "home stay" and "not home stay" elders. The model correctly predicted 92.0% of the elderly participants regarding the home stay outcome. Health-care professionals could target these predictors in an attempt to develop interventions that assist elders to reside in their own home. Author Affiliation: (1)College of Nursing, The University of Tennesse and (2)Covenant Health Geriatric Outreach Program, Knoxville, Tennessee, USA Article History: Received 29 June 2007; accepted 30 December 2007 Article note: Shu-li Chen, The University of Tennessee, College of Nursing, 1200 Volunteer Boulevard, Knoxville, TN 37996-4180, USA. Email: schen4@utk.edu