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. Author manuscript; available in PMC: 2018 Dec 1.
Published in final edited form as: Health Care Manag Sci. 2017 Aug 31:10.1007/s10729-017-9416-4. doi: 10.1007/s10729-017-9416-4

Appendix Table 2.

Transition parameters for India example1

Description Value Reference
Sputum smear test
 Sensitivity 0.60 [30]
 Specificity 0.98 [30]
Cure and default in first-line treatment
 Cumulative probability of cure After Month: DS DR [37]
1 0.35 0.00
2 0.88 0.00
3 0.97 0.00
4 1.00 0.30
5 1.00 0.30
6 1.00 0.30
 Monthly probability of default Age Males Females [3,26,32]
0 0.0229 0.0229
20 0.0222 0.0192
30 0.0219 0.0173
40 0.0216 0.0155
50 0.0212 0.0136
60 0.0209 0.0118
70 0.0205 0.0099
Mortality
 Monthly mortality in treatment, DS or DR TB 0.0101 [3,26,32]
 Monthly mortality, DS or DR TB without treatment (selected ages shown) Age Males Females [35]
0 0.0289 0.0290
10 0.0248 0.0248
20 0.0249 0.0249
30 0.0250 0.0249
40 0.0252 0.0250
50 0.0257 0.0252
60 0.0270 0.0264
70 0.0303 0.0292
80 0.0360 0.0345
90 0.0473 0.0462
99 1.0000 1.0000
 Monthly mortality, no TB and no treatment (selected ages shown) Age Males Females [48]
0 0.0043 0.0044
10 0.0001 0.0001
20 0.0002 0.0002
30 0.0003 0.0002
40 0.0005 0.0003
50 0.0010 0.0006
60 0.0024 0.0018
70 0.0057 0.0047
80 0.0116 0.0100
90 0.0231 0.0220
99 1.0000 1.0000
1

Transition probabilities for calculation of the post-first-line treatment dynamics, used in the simulation that generates lifetime costs and QALYs, are given in Suen et. al [14]