Predicting Nursing Home Admission in the U.S.
Author Information
Author(s): Joseph E. Gaugler, Sue Duval, Keith A. Anderson, Robert L. Kane
Primary Institution: University of Minnesota
Hypothesis
This meta-analysis aimed to identify predictors of nursing home admission among older adults in the U.S.
Conclusion
The study identified that having three or more dependencies in activities of daily living, cognitive impairment, and prior nursing home use are strong predictors of nursing home admission.
Supporting Evidence
- Older adults with three or more activities of daily living dependencies had 3.25 times the odds of nursing home admission.
- Cognitive impairment was associated with a 2.54 times higher likelihood of nursing home entry.
- Prior nursing home use increased the odds of future admission by 3.47 times.
Takeaway
The study found that older people who need a lot of help with daily tasks or have memory problems are more likely to move into a nursing home.
Methodology
The study conducted a meta-analysis of 77 reports across 12 data sources, focusing on predictors of nursing home admission using longitudinal designs.
Potential Biases
Potential bias due to reliance on non-representative samples in some studies included in the meta-analysis.
Limitations
The study relied on published data, which may not capture all relevant predictors and interactions between variables.
Participant Demographics
The sample consisted of older adults aged 65 and over, with varying levels of functional and cognitive impairment.
Statistical Information
P-Value
0.00
Confidence Interval
95% CI, 2.56–4.09
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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