Cost analysis of the management of end-stage renal disease patients in Abuja, Nigeria

Table 5 Predictors of annual patient cost of end-stage renal disease

Parameter		B	Std. Error	95% CI		Hypothesis Test
Parameter		B	Std. Error	Lower	Upper	Wald Chi-Square	Sig.
	(Intercept)	7.22	0.40	6.44	8.00	327.93	< 0.001
Age	≥ 60	0.08	0.22	-0.36	0.51	0.12	0.730
	40–59	-0.37	0.21	-0.78	0.04	3.10	0.078
	< 40	0^a
Marital status	Single	0.16	0.34	-0.50	0.82	0.22	0.636
	Married	0.23	0.29	-0.35	0.80	0.59	0.442
	Widowed	-0.11	0.34	-0.77	0.55	0.10	0.748
	Divorced/Separated	0^a
Residence	Others	0.59	0.20	0.19	0.99	8.50	0.004^*
	Satellite	0.16	0.13	-0.10	0.42	1.44	0.230
	Nearby towns	0.01	0.17	-0.32	0.35	0.01	0.934
	Municipality	0^a
Education	SSCE and below	-0.28	0.15	-0.58	0.02	3.29	0.069
	Higher education	0^a
Wealth index	Poor	-0.41	0.29	-0.98	0.17	1.91	0.167
	Middle	-0.44	0.28	-0.98	0.10	2.50	0.114
	Rich	0^a
Health insurance	No	0.27	0.14	-0.01	0.55	3.62	0.057
	Yes	0^a
Facility type	Private	0.75	0.15	0.46	1.05	24.84	< 0.001^*
	PPP	0.09	0.17	-0.26	0.43	0.24	0.621
	Public	0^a
Comorbidity	No	-0.23	0.20	-0.63	0.17	1.27	0.259
	Yes	0^a
Number of HD Sessions	> 6	0.99	0.18	0.63	1.34	29.96	< 0.001^*
	4–6	0.19	0.21	-0.23	0.60	0.77	0.380
	0–3	0^a
	(Scale)	0.554^b	0.05	0.46	0.66

ISSN: 1478-7547