AI Article Synopsis
- The study aimed to find out what factors help American elders stay at home instead of moving to assisted living or nursing facilities.
- It analyzed data from the National Home and Hospice Care Survey 2000, focusing on a sample of nearly 9,879 elders, to determine key predictors of home stay.
- The results showed that living with family was the strongest predictor, and the overall model accurately identified 92% of elders who were likely to stay at home, suggesting that interventions could be designed to support these individuals.
Article 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.
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| http://dx.doi.org/10.1111/j.1442-2018.2008.00379.x | DOI Listing |
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