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. 2007 Aug;85(8):580–585. doi: 10.2471/BLT.06.033167

Table 2. Patient costs of accessing a TB diagnosis (US$).

All
patients All
poor All 
non-poor All 
women All 
men All poor women All poor 
men All non-poor women All non-poor men
Number of respondents 179 128 51 87 92 64 64 23 28
% of total 72% 28% 49% 51% 36% 36% 13% 16%
Average no visits before treatment 5.2 5.1 5.3 5.4 5 5.3 4.9 5.7 5.1
Direct costs of pathway to care (mean)
Cost of fees and drugs 7.56 6.58 9.78 7.00 8.12 5.85 7.31 9.48 10.26
Cost of transport 3.43 2.59 5.59 2.89 3.98 2.13 3.06 4.98 6.10
Food costs 1.98 1.84 2.29 2.01 1.68 2.46 1.16 1.65 2.69
Total direct costs
Mean 13.16 10.82 19.04 12.19 13.21 9.64 11.22 15.98 18.18
Direct cost confidence intervals (9.81, 16.50) (7.07, 13.55) (14.01, 26.05) (8.58, 15.79) (8.45, 19.69)
Median 7.03 5.89 12.55 6.47 7.41 5.39 5.42 11.23 10.95
Opportunity costs
Days lost 22.14 21.93 23.24 16.53 27.76 14.86 29.69 23.09 23.36
Mean daily income 0.71 0.21 1.23 0.71 0.71 0.21 0.21 1.23 1.23
Total opportunity cost 15.81 4.64 28.67 11.81 19.83 3.14 6.27 28.48 28.81
Total costs 28.97 15.46 47.70 25.88 32.02 12.79 17.49 44.46 46.99
Total cost confidence intervals (21.59, 36.34) (10.10, 20.79) (30.10, 65.30) (16.90, 31.09) (20.36, 47.44)
Total costs as % of monthly income 135% 244% 129% 121% 149% 202% 276% 120% 127%
% of income not spent on food 64.8% 42.5% 70.2% 64.80 64.8% 42.5% 42.5% 70.2% 70.2%
Total costs as % of monthly income after food expenditure 209% 574% 184% 186% 231% 475% 649% 171% 181%

Notes:
All costs and income are quoted in US$; the Malawi kwacha/US$ exchange rate at end June 2001 was 75.7.
Income figures are taken from Integrated Household Survey data for urban households (NEC 2000),20 updated for June 2001 prices.
Statistically significant difference at 95% confidence intervals (CI) arise for direct costs between poor and non-poor only.
Statistically significant differences at 95% confidence intervals (CI) for opportunity costs arise between the poor and non-poor because of income levels.
CIs were not calculated for the sub-subgroups as sample sizes were too small to be able to yield significant differences at that level.