The role country of birth plays in receiving disability pensions in relation to patterns of health care utilisation and socioeconomic differences: a multilevel analysis of Malmo, Sweden

Table 6 Multilevel logistic regression analysis, random effects, population who sought health care.

	Women			Men
	Country of birth variance (SE)	MOR	DIC	Country of birth variance (SE)	MOR	DIC
Random effects
Model A (Empty)	0.561 (0.133)	2.04	29 633	0.273 (0.073)	1.65	21 151
Model B*	0.439 (0.117)	1.88	26 390	0.228 (0.068)	1.60	18 859
Random slopes model C*
Living alone	0.283 (0.072)	1.66	25 732	0.158 (0.055)	1.46	18 672
Married	0.593 (0.153)	2.08		0.318 (0.094)	1.71
Low educational achievement	0.572 (0.138)	2.06	25 757	0.254 (0.076)	1.62	18 856
High educational achievement	0.358 (0.096)	1.77		0.241 (0.066)	1.60
Health care visits
No public general practitioner visited	0.476 (0.120)	1.93	25 753	0.291 (0.088)	1.63	18 362
Public general practitioner visited	0.428 (0.109)	1.87		0.272 (0.084)	1.63
No public specialist visited	0.608 (0.148)	2.10	25 718	(no convergence)
Public specialist visited	0.348 (0.099)	1.76		(no convergence)
No private general practitioner visited	0.471 (0.123)	1.92	25 760	0.248 (0.080)	1.62	18 353
Private general practitioner visited	0.500 (0.140)	1.96		0.323 (0.111)	1.69
No private specialist visited	0.387 (0.097)	1.81	25 757	0.254 (0.089)	1.60	18 365
Private specialist visited	0.539 (0.138)	2.01		0.297 (0.076)	1.66

ISSN: 1471-2458