Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals

Table 2 Correlation** among independent variables of study hospitals (N = 313)

Variables	1	2	3	4	5	6	7	8	9
1. Ownership*	1.000	0.124	− 0.089	− 0.182	− 0.030	0.024	− 0.023	0.025	0.050
1. Ownership*		0.0285	0.1178	0.0012	0.5997	0.6689	0.683	0.6633	0.3734
2. Location*		1.000	0.172	0.087	0.102	− 0.332	0.231	0.089	0.016
2. Location*			0.0023	0.1247	0.0714	< .0001	< .0001	0.1154	0.7727
3. Tertiary* hospitals			1.000	0.232	0.580	− 0.454	0.284	0.059	− 0.233
3. Tertiary* hospitals				< .0001	< .0001	< .0001	< .0001	0.2976	< .0001
4. Years of operation				1.000	0.195	− 0.162	0.164	− 0.091	− 0.238
4. Years of operation					0.0005	0.004	0.0036	0.1092	< .0001
5. Number of beds					1.000	− 0.603	0.360	0.016	− 0.478
5. Number of beds						< .0001	< .0001	0.7771	< .0001
6. Nurse− patient ratio						1.000	− 0.453	− 0.233	0.122
6. Nurse− patient ratio							< .0001	< .0001	0.0308
7. HIM staff***							1.000	0.286	− 0.015
7. HIM staff***								< .0001	0.7874
8. Number of CTs***								1.000	0.336
8. Number of CTs***									< .0001
9. Number of MRIs***									1.000

*Binary variables were coded as 0 versus 1 such as no 1 (Private hospitals as 1,), 2 (Mega-metro cities as 1), 3 (Tertiary hospital as 1). **Spearman correlation. ***Variables 7–9 were standardised by the number of beds (each variable/bed*100)

ISSN: 1472-6947