Table 2.

Bivariate and Multivariate Models Predicting Number of ED Visits at Follow-Up

Variables	Bivariate modelsa		Multivariate final modela,b
	b c	p value	b	p value
Intervention groupd	−0.217	0.080	−0.219	0.075
Number of ED visits at enrollment (prior 12 months)	0.026	0.333	–	–
Malee	−0.119	0.342	–	–
Age	−0.003	0.416	–	–
Citizenshipf
Europe	−0.063	0.717	–	–
Other (e.g. Africa, Asia, Lat Am)	−0.022	0.872	–	–
Educationg
High school/vocational school	0.080	0.606	–	–
University/college	−0.050	0.799	–	–
Do not know/other	0.164	0.442	–	–
Limited French proficiency	−0.073	0.442	–	–
No primary care physician	−0.257	0.166	–	–
Social determinantsh	0.272	0.055	0.280	0.048
Somatic determinantsi	0.078	0.562	–	–
Mental determinantsj	0.169	0.172	–	–
At-risk behaviorsk	−0.003	0.980	–	–

^aGeneralized linear model for count data (negative binomial distribution)

^b Stepwise regression (p = 0.10)

^c “b” is the coefficient of the regression model

^dReference category: controls

^eReference category: female

^f Reference category: Swiss nationality

^gReference category: compulsory school only

^hSocial determinants (at least one determinant): complex family situation, social isolation, financial hardship, inadequate housing, lack of employment, limited French proficiency, problems with immigration status

ⁱSomatic determinants (at least one determinant): chronic and/or acute severe illness, comorbidity, polypharmacy, treatment non-adherence

^jMental determinants (at least one determinant): depression, anxiety, personality disorder, psychotic disorder

^kAt-risk behaviors (at least one determinant): alcohol use, tobacco use, Illicit drug use