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. 2012 Nov 3;2012:170–179.

Table 6.

Conditional Logistic Regression Models for Fallers and Matched Controls

All patients Intervention Unadjusted p-value* Adjusted p-value** Odds Ratio 95% CI
Document Previous Fall .003 .364
Out of Bed with Assist .000 .001 5.7 (2.0, 16.24)
1 Person Assist .040 .106
2 Person Assist .006 .08
Bed/Chair Alarm .003 .279
Bed Close to Nursing Station .042 .983
Frequent checks/ Reorientation .025 .474
Patients aged <65 Intervention Unadjusted p-value* Adjusted p-value**
Document Previous Fall .001 .266
Out of Bed with Assist .010 .907
1 Person Assist .034 .417
Bed/Chair Alarm .003 .259
Bed Close to Nursing Station .012 .279
Frequent checks/ Reorientation .023 .365
Patients aged ≥65 Intervention Unadjusted p-value* p-value Odds Ratio 95% CI
Cane .047 .041 .073 (.006, .89)
Out of Bed with Assist .004 .005 10.1 (2.0, 50.7)
2 Person Assist .005 .006 14.26 (2.2, 94.5)
*

Controlling for site

**

Adjusted for insurance and Total MFS before fall