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. 2020 Sep 4;20:832. doi: 10.1186/s12913-020-05686-5

Table 2.

Risk Factors associated with catastrophic cost before (CC1) and after (CC2) the TB specific reimbursement

Univariable analysis, CC1 Multivariable logistic regression, CC1 Multivariable logistic regression, CC2
OR (95%CI) p value Adjusted OR (95%CI) p value Adjusted OR (95%CI) p value
Migrants 0.41 (0.21–0.77) < 0.01 0.64 (0.25–1.61) 0.34 0.81 (0.31–2.13) 0.68
Sex, females 1.00 (0.53–1.90) 0.99
Age, years 1.04 (1.02–1.06) < 0.01
More than 45 years old 3.87 (2.02–7.43) < 0.01 2.50 (1.20–5.21) 0.01 2.52 (1.17–5.47) 0.01
Primary education and lower 3.24(1.60–6.58) < 0.01
Living area per capital, m2 1.01 (1.00–1.02) 0.01
Family size (per person increased) 0.84 (0.65–1.10) 0.19
Unemployment 2.17 (0.86–5.49) 0.10
No feasible health insurance 1.12 (0.60–2.07) 0.36 2.69 (1.08–6.72) 0.03 2.33 (0.89–6.14) 0.08
Previous TB episode 2.67 (0.96–7.45) 0.06
Patient delay; days 1.01 (0.99–1.02) 0.07
Hospital delay; days 1.00 (0.99–1.01) 0.76
Smear positive 1.17 (0.62–2.21) 0.63
Hospitalization 11.27 (5.55–22.89) < 0.01 10.78 (4.96–23.41) < 0.01 14.92 (6.30–35.28) < 0.01

Note, CC1 represents catastrophic costs without reimbursement from local CDC, and CC2 represents catastrophic expenditures after reimbursement from local CDC; OR = odds ratio