Associations between patient factors and adverse events in the home care setting: a secondary data analysis of two canadian adverse event studies

Table 1 Results of Logistic Regression Models ^a: Continuous IADL Score^b and Number of Diagnoses as Predictors of Adverse Events in Four Canadian Provinces

	p	O.R.	95% CI for O.R.
	p	O.R.	Lower	Upper
Quebec (n = 602)
IADL Dependency and Number of Diagnosis
Constant	0.000	0.027
IADL dependency	0.063
Mean # diagnoses	0.005	1.213	1.060	1.388
Nova Scotia (n = 302)
IADL Dependency and Number of Diagnosis
Constant	0.000	0.016
IADL dependency	0.040	1.576	1.020	2.434
Mean # diagnoses	0.001	1.265	1.099	1.456
Manitoba (n = 296)
IADL Dependency and Number of Diagnosis
Constant	0.000	0.010
IADL dependency	0.033	1.902	1.054	3.432
Mean # diagnoses	0.102
Ontario (n = 430)
IADL Dependency and Number of Diagnosis
Constant	0.000	0.052
IADL dependency	0.000	2.832	1.790	4.481
Mean # diagnoses	0.065

^aForward stepwise regression used. n.s. signifies factor was not significant
^bIADL dependency score is the mean of values across 7 IADLs (meal preparation, housework, financial transactions, medication administration, telephone use, shopping, transportation), where values are: 1 = independent, 2 = completes with difficulty, 3 = requires assistance, 4 = dependent

ISSN: 1472-6963