Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting
Table 3
Results of in silico modelling of alternative regimens.
Analysis
Sample
All ()
Failures ()
(1) No. (%) of cases for which the models were able to identify alternative regimens which were predicted to be effective
206 (100%)
74 (100%)
(2) No. (%) of category 1 alternatives with a higher estimated probability of response than those of the regimen used in the clinic
175 (85%)
65 (88%)
(3) No. (%) of category 2 alternatives where one or more of the alternatives were less costly than those of the regimen used in the clinic
175 (100%)
65 (100%)
(4) Mean number of alternatives in category 3
10
8
(5) The mean cost saving from the median costing alternative in category 4 for each patient (95% CI)
$364 ($332, $395)
$421 ($361, $481)
(6) The mean percentage cost saving of the above
41% (38%, 45%)
45% (38%, 51%)
(7) The mean cost saving of the least expensive option from category 3 for each patient (95% CI)
