Table 4.

Effect of COVID-19 and other covariates^a on DS-TB treatment success in the incarcerated and non-incarcerated population (adjusted odds ratios for treatment success from logistic regression, using imputed^b values for missing covariates).

	All			Non-incarcerated			Incarcerated
	OR	95%CI		OR	95%CI		OR	95%CI
COVID-19 period: (Ref = TB care pre-COVID-19)
TB care fully during COVID-19	0.82	0.78	0.85	0.81	0.78	0.85	0.88	0.76	1.01
TB care partially during COVID-19	0.93	0.89	0.98	0.94	0.89	0.98	0.91	0.77	1.08
Sex, male (Ref = female)	0.81	0.77	0.84	0.79	0.76	0.82	0.93	0.40	2.16
HIV positive	0.43	0.40	0.46	0.43	0.40	0.47	0.69	0.50	0.94
Diabetes	0.98	0.92	1.04	0.99	0.93	1.06	0.74	0.52	1.04
Extrapulmonary TB	1.40	1.33	1.47	1.38	1.31	1.45	2.13	1.64	2.76
Type of case: (Ref = new case)
Previous TB treatment stopped or failed	0.38	0.35	0.41	0.40	0.36	0.44	0.54	0.35	0.84
Relapse	0.78	0.74	0.83	0.72	0.68	0.77	0.79	0.69	0.90
Smoking	0.86	0.81	0.91	0.61	0.56	0.66	1.03	0.91	1.16
Insurance type: (Ref = private insurance)							Insurance type: (Ref = employer's insurance)c
Employer's insuranced	0.76	0.54	1.08	0.75	0.53	1.06
Public insurancee	0.67	0.48	0.95	0.64	0.45	0.90	0.83	0.19	3.71
None	0.68	0.48	0.97	0.69	0.49	0.97	1.49	0.26	8.38
Good adherence ( ≥ 80% of expected doses taken)	7.90	7.46	8.38	7.52	7.09	7.98	18.71	12.88	27.18

^aFor (non-linear) effect of age covariate, see Fig. 6.

^bVia multiple imputation by chained equations (MICE).

^cNone with private insurance in incarcerated population.

^dSeguro Social de Salud (EsSalud) or police/armed forces.

^eSeguro Integral de Salud (SIS).