Logistic Regression Model of Maier et al for a Very Low Birthweight Infant Admitted to the NICU

Morse et al developed a scale which can help to identify a patient at risk for falling.

A patient at increased should be targeted for preventive measures. The authors are from the University of Alberta in Canada.

Patient selection: patient >= 18 years of age

Parameters:

(1) history of falls

(2) secondary diagnosis

(3) ambulatory aid

(4) intravenous therapy or heparin lock

(5) gait

(6) mental status

Parameter	Finding	Points
history of falls	no	0
	yes	25
secondary diagnosis	no	0
	yes	15
ambulatory aid	none	0
	bedrest	0
	nurse assist	0
	crutches, cane or walker	15
	clutching onto furniture	30
intravenous therapy	no	0
	yes	20
gait	normal	0
	bedrest	0
	wheelchair	0
	weak	10
	impaired	20
mental status	oriented to own capabilities	0
	overestimates capabilities	15
	forgets or unaware of limits	15

total score =

= SUM(points for all 6 parameters)

Interpretation:

• minimum score: 0

• maximum score: 125

• The higher the score the greater the risk of falling.

• Schwendimann et al identified a score >= 55 as high risk.

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