Predictors of American elders' home stay: a secondary data analysis study.
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.
Chen
Shu-li
SL
College of Nursing, The University of Tennesse, Knoxville, Tennessee 37996-4180, USA. schen4@utk.edu
Mefford
Linda
L
Brown
Janet
J
Hsu
Marie
M
Clem
Rebecca
R
Newman
Lindsay
L
D000203:Activities of Daily Living; D000369:Aged, 80 and over; D017028:Caregivers; D003430:Cross-Sectional Studies; D003627:Data Interpretation, Statistical; D005190:Family; D005260:Female; D006699:Home Care Services; D006801:Humans; D016015:Logistic Models; D008297:Male; D008962:Models, Theoretical; D012111:Residence Characteristics; D013997:Time Factors; D014481:United States