Intraclass reliability for assessing how well Taiwan constrained hospital-provided medical services using statistical process control chart techniques

Table 2 ICC and 95% CI for types of simulation datasets

Types of datasets		ICC			Data generation
			95% CI
					Hospital	Item
			Lower	Upper	Measures	Difficulty	Approach
Raw data	(13 continuous variables)
	Real data	0.999	0.999	0.999
	Random data	0.040	−0.101	0.170	~N(0,1)	Randomized	Sampling
XmR data	(13 discrete variables with 5 categories)
	1. Increasing	0.787	0.756	0.816	~N(0,1)	2.0 to −1.0	Rasch model
	2. Decreasing	0.792	0.761	0.82	~N(0,1)	−2.0 to 1.0
	3. Out-of control	0.791	0.76	0.819	~N(0,1)	= 0
√	4. In-control	0.533	0.464	0.594	= 0	= 0
	1 × 2	0.763	0.728	0.795	Combined in number of cases
	1 × 3	0.785	0.753	0.814
	1 × 4	0.726	0.686	0.763
	2 × 3	0.783	0.751	0.812	(50% vs. 50%)
	2 × 4	0.714	0.672	0.753
	3 × 4	0.725	0.684	0.762

Note. √ = the supply of medical services is well-controlled and has a lower ICC.

ISSN: 1471-2288