Factors That Influence Treatment Completion for Latent Tuberculosis Infection

Article Figures & Data

Download figure
Open in new tab
Figure 1.
These are the numbers of patients with specific reasons for non-completion by treatment regimen. Being lost to follow-up was the most common reason for treatment non-completion. The most patients were lost to follow-up if they were treated with the longest regimen of isoniazid only.
Download figure
Open in new tab
Figure 2.
These are the numbers of participants experiencing specific side effects by treatment regimen. Approximately one-third of patients reported at least one side effect.

Table 1.

Study Participant Demographics and Characteristics

	Noncompleters (n = 132)	Completers (n = 259)	P Value
Age (years), mean	41.6	44.6	.06
Sex
Female	53 (40.2)	122 (47.1)	.19
Male	79 (59.9)	137 (52.9)
Treatment regimen
Isoniazid and rifapentine	13 (9.9)	74 (28.6)	<.001
Rifampin alone	12 (9.1)	70 (27.0)
Isoniazid alone	107 (81.1)	115 (44.4)
Type of insurance^*
Private	10 (8.7)	49 (23.3)	<.001
Medicare/Medicaid/funded by government	30 (26.1)	45 (21.4)
Charity/no insurance	55 (47.8)	107 (51.0)
Other	20 (17.4)	9 (4.3)
Race
White	11 (9.1)	18 (7.1)	.10
Black	39 (32.2)	55 (21.6)
Asian	46 (38.0)	115 (45.1)
Mexican/other Hispanic	16 (13.2)	32 (12.6)
Pacific Islander	5 (4.1)	27 (10.6)
Other	4 (3.3)	8 (3.1)
Foreign born	110 (90.2)	230 (91.3)	.73
English speaking	66 (50.8)	136 (53.3)	.63
Marital status^{^†}
Married	48 (60.8)	115 (73.7)	.04
Unmarried/separated	31 (39.2)	41 (26.3)
Homeless^{^‡}	18 (15.0)	26 (10.7)	.24
Experienced side effects	37 (28.0)	94 (36.3)	.10
Medical problems (n)
0	47 (35.6)	130 (50.2)	.01
1–2	42 (31.8)	77 (29.7)
≥3	43 (32.6)	52 (20.1)
Medications (n)
0–1	45 (34.1)	93 (35.9)	.86
2–3	49 (37.1)	89 (34.4)
≥3	38 (28.8)	77 (29.7)
Tobacco use	23 (17.4)	26 (10.0)	.04
Alcohol use (>3 drinks, abuse, or dependence)	25 (18.9)	27 (10.4)	.02

Data are n (%) unless otherwise indicated. Also unless indicated, <5% of data was missing.
↵* Missing data: 16.8%.
↵† Missing data: 40.0%.
↵‡ Missing data: 7.1%.