Table 9.

Fixed effects of characteristics of service users and administration mode on P3CEQ dichotomous item scores; results of two-level mixed-effect logistic regression model (N = 13 integrated care initiatives, N = 214–223 service users); separate analyses for each characteristic.

	(SINGLE) PROFESSIONAL COORDINATING CARE(Q6)				WANT FRIENDS/FAMILY INVOLVED IN DECISION-MAKING: YES (VS NO/DON’T KNOW) (Q11a)
	N	ESTIMATE	SE	P	N	ESTIMATE	SE	P
Fixed effect of service user characteristics
Gender: female (ref. male)	223	0.02	0.35	.96	217	–0.19	0.35	.58
Age (ref. 65 to 74 years)	222				216
– 75 to 84 years		–0.48	0.45	.28		0.46	0.42	.28
– 85 years or older		–0.14	0.45	.75		0.81	0.42	.06
Education (ref. no schooling or primary school)	220				215
– secondary school		0.26	0.49	.59		0.66	0.47	.16
– advanced vocational training		0.42	0.49	.39		0.32	0.46	.49
– high professional/academic education		0.91	0.65	.16		–0.32	0.58	.58
Hearing problems (ref. no)	221	–0.40	0.33	.23	215	0.67	0.34	.05
Visual problems (ref. no)	221	0.04	0.34	.91	215	–0.31	0.34	.37
Cognitive problems (ref. no)	220	–0.51	0.51	.32	214	0.76	0.61	.21
Mental health problems (ref. no)	220	0.13	0.35	.71	214	–0.37	0.34	.28
Fixed effect of administration characteristics
Mode of administering: other (ref. face-to-face)	223	0.06	0.97	.95	217	–1.01	0.96	.29
Carer: present (ref. not present)	223	–0.03	0.45	.95	217	2.12	0.66	.001
In combination with qualitative interview (ref. no)	223				217
– interview before P3CEQ		0.35	0.63	.58		1.02	0.66	.12
– interview after P3CEQ		–0.51	0.44	.24		–0.10	0.41	.82