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

Table 2 Results of Logistic Regression Models^a: Categorical 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	0.037
IADL dependency	0.006
IADL dependency (1)	0.849	0.878	0.231	3.344
IADL dependency (2)	0.014	3.522	1.293	9.590
Mean # diagnoses	0.156
Mean # diagnoses (1)	0.332
Mean # diagnoses (2)	0.060
Nova Scotia (n = 302)
IADL Dependency and Number of Diagnosis
Constant	0.000	0.025
IADL dependency	0.046
IADL dependency (1)	0.040	3.309	1.057	10.354
IADL dependency (2)	0.014	4.407	1.353	14.351
Mean # diagnoses	0.016
Mean # diagnoses (1)	0.126	2.052	0.817	5.149
Mean # diagnoses (2)	0.004	5.154	1.684	15.771
Manitoba (n = 296)
IADL Dependency and Number of Diagnosis
Constant	0.000	0.058
IADL dependency	0.176
IADL dependency (1)	0.745
IADL dependency (2)	0.085
Mean # diagnoses	0.167
Mean # diagnoses (1)	0.456
Mean # diagnoses (2)	0.428
Ontario (n = 430)
IADL Dependency and Number of Diagnosis
Constant	0.000	0.306
IADL dependency	0.000
IADL dependency (1)	0.000	0.197	0.088	0.439
IADL dependency (2)	0.001	0.287	0.136	0.604
Mean # diagnoses	0.112
Mean # diagnoses (1)	0.033
Mean # diagnoses (2)	0.102

^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: 0 = independent, 1 = completes with difficulty or requires assistance, 2 = dependent

ISSN: 1472-6963