. 2019 Jul 22;14(7):e0219965. doi: 10.1371/journal.pone.0219965

Table 2. Probability of inappropriate care plan assignment.

	Eligible to IC plan					Ineligible to IC plan
Subgroup	Total	in IC	In DC	adjusted*		Total	in DC	in IC	adjusted*
Subgroup	Total	in IC	In DC	P (unfit)	95%CI	Total	in DC	in IC	P(unfit)	95%CI
N	9906	6878	3028	0.28	0.27–0.29	11896	10176	1720	0.11	0.10–0.11
Sex
Females	4371	3086	1285	0.27	0.26–0.28	5304	4462	842	0.11	0.10–0.12
Males	5535	3792	1743	0.29	0.28–0.30	6592	5714	878	0.11	0.10–0.12
Age
<60 yr	2090	1361	729	0.33	0.30–0.35	2558	2416	142	0.04	0.03–0.05
60–69 yr	2779	2117	662	0.22	0.21–0.24	3027	2762	265	0.07	0.06–0.08
70–79 yr	3200	2253	947	0.27	0.26–0.29	3399	2820	579	0.15	0.14–0.17
80+ yr	1837	1147	690	0.35	0.33–0.38	2912	2178	734	0.23	0.22–0.25
District
Mountain	805	500	305	0.37	0.34–0.41	897	726	171	0.14	0.12–0.17
Eastern plain	1508	1351	157	0.10	0.08–0.11	1232	937	295	0.20	0.18–0.22
Northern plain	1535	1196	339	0.21	0.19–0.23	1862	1532	330	0.15	0.13–0.16
Western hills	1197	807	390	0.32	0.30–0.35	1554	1376	178	0.09	0.08–0.10
Capital	3425	1930	1495	0.44	0.42–0.45	4815	4381	434	0.07	0.06–0.08
Eastern hills	1436	1094	342	0.24	0.22–0.27	1536	1224	312	0.17	0.15–0.19
Time since diagnosis
<5 yr	3268	2192	1076	0.31	0.29–0.33	2175	1817	358	0.17	0.15–0.19
5–9 yr	3958	2961	997	0.23	0.21–0.24	3549	2808	741	0.18	0.17–0.20
10+	2680	1725	955	0.34	0.32–0.36	6172	5551	621	0.07	0.06–0.07
Citizenship
Italians	9419	6579	2840	0.28	0.27–0.29	11023	9341	1682	0.11	0.11–0.12
Foreigners	487	299	188	0.38	0.33–0.43	873	835	38	0.05	0.04–0.07

Probability of inappropriate care plan assignment for patients with type 2 diabetes by patient characteristics. Eligible to IC = includes patients eligible to IC cared in DC plan and patients in IC plan without suspension criteria. Ineligible to IC = includes patients not eligible to IC cared in DC plan and patients in IC plan with at least one suspension criteria *Adjusted P (unfit): average predicted probabilities of inappropriate care plan assignment, obtained using a logistic multivariate model and using remaining covariates at their mean values. The covariates were sex, age, district, time since diagnosis and citizenship. Placement in the correct care setting was used as a reference.