Skip to main content

Table 3 Factors associated with diagnostic delay of recurrent TB

From: Factors associated with diagnostic delay in recurrent TB

Variables Model 1 (With all subjects) Model 2 (New TB only) Model 3 (Recurrent TB only)
HR(95%CI) HR(95%CI) HR(95%CI)
Gender, Female 0.9(0.9–0.9)** 1(0.9–1)* 1(0.9–1.1)
Age, >45 0.8(0.8–0.9)*** 0.8(0.7–0.8)*** 0.9(0.8–1.1)
Household, Immigrant 0.8(0.7–0.9)*** 0.8(0.7–0.9)*** 0.5(0.3–0.9)*
Occupation, Famer 1.0(0.9–1.0) 1(0.9–1) 1(0.9–1.2)
TB source, Health examination 0.6(0.5–0.8)*** 0.7(0.5–0.9)**
TB source, Referral 0.4(0.3–0.5)*** 0.4(0.3–0.5)***
TB source, Active visit 0.3(0.2–0.4)*** 0.3(0.3–0.4)*** 0.9(0.8–1.1)
TB source, Tracking 0.3(0.2–0.4)*** 0.4(0.3–0.5)*** 1.1(0.9–1.4)
TB source, Recommendation 0.2(0.2–0.3)*** 0.2(0.2–0.3)*** 0.6(0.4–0.9)*
Smear results, Positive 0.9(0.8–0.9)*** 0.8(0.8–0.8)*** 0.9(0.8–1.1)
Type of facilities for diagnosis, TB dispensary 0.9(0.8–0.9)*** 0.9(0.8–0.9)*** 0.4(0.3–0.6)***
TB classification, Recurrent TB 0.5(0.5–0.6)***
  1. Note: “†” In the two-level ((level 1- individuals and level 2-dispensaries) mixed-effects survival model analysis among all cases and new cases, both the estimate of variance and the standard error was less than 0.01. An LR test comparing the model with the one-level survival model did not favour the random-intercept model with P > 0.05. However, among the recurrent TB cases, the estimate of variance in level 2 was 0.14 with the standard error of 0.07 and the LR test comparing the model with the one-level survival model favoured the random-intercept model with P<0.05
  2. “*” P<0.05, “**” P<0.01, “***” P<0.001