Shared component modelling as an alternative to assess geographical variations in medical practice: gender inequalities in hospital admissions for chronic diseases

Table 3 SCM modelling: results by gender

	Men	Women
Fraction of total variations
% shared component (λ)	99.32% (97.45 to 99.82)	94.24%(91.68 to 96.37)
% specific component	0.68%(0.17 to 2.55)	5.76%(3.63 to 8.32)
Unstructured (ϕ ₁ , ϕ ₂)	0.68%(0.17 to 2.55)	1.61%(0.23 to 4.38)
Spatially structured (β)		4.15%(1.73 to 6.70)
Variance Components
Specific unstructured ( $σ_{ϕ}^{2}$ )	0.0005 (0.0001 to 0.0019)	0.0015 (0.0002 to 0.0039)
Common spatial ( $σ_{χ}^{2}$ )	0.0810 (0.0158 to 0.0865)
Female specific spatial ( $σ_{β}^{2}$ )	0.0038 (0.0016 to 0.0062)
Delta coefficient (δ)	0.967 (0.939 to 0.997)
Model fit comparison criteria
DIC (p_D)	3845.7 (p_D = 301.21)

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