Table 7.

Multi-variate logistic regression model for predicting the effect of selected background characteristics of Catastrophic Health Expenditure among tribal populations with TB in India (2004–2018).

Background Characteristics	Odds ratio	p-value	[95% Conf Interval]		Significance
			Lower	Upper
Age (in years)
0-14 ®	1	.	.	.
15–35	0.745	0.706	0.162	3.433
36–59	0.084	0.077	0.005	1.31	*
60 and above	0.381	0.353	0.05	2.922
Education
Illiterate ®	1	.	.	.
Up to Primary	1.519	0.579	0.346	6.663
Middle	1.669	0.579	0.274	10.166
Secondary and above	5.604	0.117	0.651	48.248
Gender
Male®	1	.	.	.
Female	0.907	0.856	0.314	2.616
MPCE quintile
Poorest®	1	.	.	.
Poorer	0.462	0.347	0.092	2.309
Middle	0.522	0.454	0.095	2.862
Richer	0.61	0.542	0.124	2.993
Richest	0.537	0.444	0.109	2.64
Place of residence
Rural®	1	.	.	.
Urban	0.218	0.072	0.042	1.144	*
Type of health facility
Public hospital	1	.	.	.
Private hospital	1.307	0.782	0.196	8.725
Type of ward
Free®	1	.	.	.
Paid	1.892	0.475	0.329	10.879
Duration of stay in hospital
Up to 5 days®	1	.	.	.
6–10 days	9.113	0.006	1.89	43.945	***
11 and above	13.537	0.001	3.113	58.871	***
Health-care coverage
No	1
Yes	1.345	0.054	0.404	2.531
Constant	0.158	0.056	0.024	1.051	*

Mean dependent var	0.381	SD dependent var	0.488
Pseudo r-squared	0.237	Number of obs	97
Chi-square	30.501	Prob > chi2	0.016
Akaike crit. (AIC)	132.464	Bayesian crit. (BIC)	176.234

***p < 00.01, **p < 00.05, *p < 00.1.