Geographical inequality in service utilization for primary aldosteronism screening: spatial epidemiological study in Southern Thailand

Table 3 Models analyzing factors contributing to the rates of PA case detection

Geographic factors	Univariate log-linear model	P-value	Multivariate log-linear model	P-value
	coefficient^a		coefficient^a
	(95%CI)		(95%CI)
Areas with endocrinologists	1
Presence vs absence	1.02 (0.99-1.04)	0.084	–
Lives within Songkhla^b	1		1
< 200 km away	0.80 (0.67-0.95)	0.012	0.82 (0.69-0.97)	0.03
≥200 km away	0.64 (0.53-0.76)	< 0.001	0.66 (0.55-0.78)	< 0.001
Muslim	1
> = 20% vs < 20%	1.17 (1.02-1.33)	0.023	1.12 (0.99 -1.27)	0.08

^acoefficient and 95%CI are derived from the standardized rate ratio (SRR) mentioned in the method section
^bSongkhla is a province where the super-tertiary center with the largest number of endocrinologists are allocated.
Log-linear model = log₁₀(rate) ~ x_i, where x_i are the variables of interest

ISSN: 1472-6963