Table II.

Multilevel logistic regression models to estimate ICP use among chronically ill patients within general practice (n = 1371).

	Model 0	Model 1
Fixed part		OR (95% CI)	SE
Age, years (ref. 15–64 years):
65–74 years		0.84 (0.54–1.31)	0.19
≥ 75 years		0.86 (0.52–1.41)	0.22
Educational level (ref. = low):
Intermediate		1.20 (0.80–1.81)	0.25
High		0.50 (0.27–0.94)*	0.16
Health literacy: adequate (ref. = inadequate)		0.66 (0.37–1.17)	0.19
Type of chronic disease diagnosed (ref. = absence of specific disease):
Asthma		0.95 (0.47–1.89)	0.33
COPD		1.74 (1.01–2.98)*	0.48
Other chronic respiratory disease		1.39 (0.54–3.54)	0.66
Cardiovascular disease / high risk		1.05 (0.61–1.80)	0.29
Arthritis		0.97 (0.52–1.82)	0.31
Other chronic musculoskeletal disorder		1.42 (0.72–2.80)	0.49
Cancer		1.01 (0.47–2.18)	0.40
Diabetes mellitus		1.78 (1.06–2.98)*	0.47
Thyroid dysfunction		1.12 (0.54–2.35)	0.42
Migraine		0.43 (0.10–1.86)	0.32
Neurological disease		1.76 (0.81–3.84)	0.70
Chronic digestive disorder		1.18 (0.50–2.78)	0.52
Chronic skin disease		0.79 (0.31–1.98)	0.37
Other chronic disease		1.81 (1.05–3.14)*	0.51
Multimorbidity present (ref. = absent)		0.88 (0.47–1.64)	0.28
Self-rated general health (ref. = excellent–very good)
Good		4.16 (1.28–13.58)*	2.51
Fair–poor		5.51 (1.67–18.15)**	3.35

Random part	Estimate	SE	Estimate	SE
Variance between GP practices	0.06	0.10	0.00	0.00

Notes: Significance levels: *p < 0.05; ** p < 0.01. OR = odds ratio; CI = confidence interval; SE = standard error.