Table 4.
Socioeconomic impact and catastrophic costs in patients diagnosed through ACF and PCF at individual treatment periods
| Variables | Pre-treatment, N (%) | ORd (95 % CI) |
Intensive phase, N (%) | ORd (95 % CI) |
Continuation phase, N (%) | ORd (95 % CI) |
End of treatment, N (%) | ORd (95 % CI) |
||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
ACF (N = 52) |
PCF (N = 46) |
ACF (N = 52) |
PCF (N = 46) |
ACF (N = 52) |
PCF (N = 46) |
ACF (N = 52) |
PCF (N = 46) |
|||||
| Catastrophic costsa | 8 (15) | 13 (30) |
0.43 (0.16–1.17) |
8 (22) | 17 (46) |
0.32 (0.12–0.90)* |
11 (22) | 12 (27) |
0.76 (0.30–1.93) |
10 (20) | 10 (22) |
0.86 (0.32–2.29) |
| Unemployed | 5 (10) | 8 (17) |
0.51 (0.15–1.67) |
15 (29) | 21 (46) |
0.48 (0.21–1.11) |
10 (19) | 10 (22) |
0.86 (0.32–2.29) |
7 (13) | 9 (20) |
0.64 (0.22–1.88) |
| Poverty headcountb | 11 (21) | 8 (17) |
1.27 (0.46–3.51) |
22 (42) | 19 (41) |
1.04 (0.47–2.33) |
12 (23) | 10 (22) |
1.08 (0.42–2.80) |
11 (21) | 9 (20) |
1.10 (0.41–2.96) |
|
Social exclusion |
NA | NA | NA | 21 (66) | 11 (34) |
2.16 (0.90–5.17) |
19 (41) | 27 (59) |
0.41 (0.18–0.91)* |
19 (45) | 23 (55) |
0.58 (0.26–1.29) |
| Loss of employment | NA | NA | NA | 15 (29) | 18 (39) |
0.63 (0.27–1.47) |
12 (23) | 16 (35) |
0.56 (0.23–1.36) |
8 (15) | 11 (24) |
0.58 (0.21–1.59) |
| Financial impactc | NA | NA | NA | 29 (56) | 18 (39) |
1.96 (0.87–4.39) |
27 (52) | 20 (43) |
1.40 (0.63–3.11) |
19 (37) | 19 (41) |
0.82 (0.36–1.84) |
| Coping strategies | NA | NA | NA | 14 (27) | 7 (15) |
2.05 (0.75–5.64) |
20 (38) | 5 (11) |
5.12 (1.73–15.14)* |
15 (29) | 11 (24) |
1.29 (0.51–3.18) |
aCatastrophic costs calculated according to the income reported in each period of analysis;
bPoverty line established by the World Bank = $1.90, International Dollar ($) applying purchase power parity (PPP), 2017 prices, conversion factor = $7,716.43;
cPatients indicating that they were poorer or much poorer as a result of their episode of TB;
dUnivariate odds ratio accounting for autocorrelation using generalized estimation equation methods with working correlation structure obtained using quasi-likelihood information criteria