TABLE 2.

Summary of Logistic Regression Analysis for Variables Predicting Home Health Benefit Use (N = 192) Controlling for Relevant Variables

	Home Health Use
Predictor	B	SE	OR (95% CI)
Awareness	−0.853*	0.366	0.426 (0.207–0.877)
Sex†	0.896	0.635	2.450 (0.700–8.576)
Education	0.004	0.099	1.004 (0.826–1.220)
Medical comorbidities	0.574	0.374	1.776 (0.848–3.713)
Age	0.020	0.44	1.02 (0.428–2.431)
Global cognition	0.008	0.068	1.008 (0.881–1.153)
Diagnosis‡	−1.336	0.751	0.263 (0.059–1.157)
CDR	1.638*	0.791	5.142 (1.080–24.502)
Child caregiver§	1.631*	0.748	5.107 (1.168–22.352)
Other caregiver§	1.844	0.954	6.322 (0.962–41.529)
Constant†	−7.024
χ2	27.576**
df			10

^†Male as reference.

^‡DLB as reference.

^§Spouse caregiver as reference.

OR indicates odds ratio, calculated as exponentiated B; 95% CI, 95% confidence interval of OR point estimate.

^*P < 0.05.

^**P < 0.01.