MID for analyzing the cost-effectiveness of HIV prophylaxis in children.

Reference:

Ryan M, Griffin S, Chitah B, et al.

The cost-effectiveness of cotrimoxazole prophylaxis in HIV-infected children in Zambia.

AIDS 2008,22:749–757.

MID built by Iñigo Bermejo and F. Javier Díez in July 2013, based on the Excel+R model built by Ryan et al.

Open the properties dialog of each node to obtain additional information. See also the chapter on MIDs in OpenMarkov's tutorial.

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The state is defined as a function of the CD4%. Ryan et al. "prefer CD4% over CD4 cell count as a predictive marker because of the rapid natural reduction in CD4 cell count with increasing age in uninfected young children."

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Whether the patient dies in this cycle

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Transition between live states, either from CD4% < 8 to CD4% 8–15 of from CD4% 8–15 to CD4% > 15.

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Age at which the patient entered the current state. It is relevant because the transition probability depends more on that age than on the current age.

]]> 0.1 0.1 0.1 1.0 months 0.01 months 0.01 0.01 months 0.01 0.01 4.4 0.0 0.28 0.41 0.31 dead CD4% 8–15 CD4% > 15 CD4% < 8 CD4% 8–15 CD4% < 8 dead -0.3585501 2.637442 4.720511 -3.519218 Therapy pow({Age at state entry [0]}, -2) log({Age at state entry [0]})*pow({Age at state entry [0]}, -2) Constant 0.59352031 -0.17617614 0.88169172 0.35993202 1.2301276 4.6632451 -0.26766007 -0.46401478 -0.48976182 0.28867513 -0.8930643 2.316634 0.909742 -1.749674 Therapy pow({Age at state entry [0]}, -2) log({Age at state entry [0]})*pow({Age at state entry [0]}, -2) Constant 0.29177767 -0.08810586 0.47725385 0.27391333 -0.126138 2.1393011 -0.1168873 -0.11684537 -0.22394475 0.13867504 -0.3880509 -2.190085 0.570776 1.993137 Therapy pow({Age at state entry [0]}, 0.5) log({Age at state entry [0]})*pow({Age at state entry [0]}, 0.5) Constant 0.221093248 -0.07116627 1.3169049 0.2144879 -0.35787986 0.03579147 -0.1632051 -1.5492362 -0.15282252 0.10846523 yes -0.0423109 -0.0048306 0.002097 -1.166541 0.3757164 Therapy pow({Age at state entry [0]},3) log({Age at state entry [0]})*pow({Age at state entry [0]},3) Constant Gamma 0.27899508 1.2434E-4 0.00395932 -6.294E-5 -0.00157693 9.367E-5 -0.14229343 -0.11751682 -0.0868085 0.15098115 -0.00502279 -0.0101035 0.01208705 -0.04780706 0.10478579 -0.2095943 1.850767 -1.835127 -3.247295 0.3985953 Therapy pow({Age at state entry [0]}, 0.5) log({Age at state entry [0]}) Constant Gamma 0.30374714 0.03874702 1.1064705 -0.02155184 -1.1834496 0.19467846 -0.21218304 -0.74709324 -0.28828786 0.16456268 -0.00346081 0.00817123 0.00486365 -0.05077406 0.11600885 no no The age at which the patient entered the current state is computed as the current age minus the time spent in the current state: Age at state entry [i] = Age [i] - Time in state [i] ]]> 0.0 1.0 -1.0 Constant Age [0] Time in state [0] 0.0 0.0 1.0 0.0 0.0 1.0 1.0 0.0 0.0 1.0 1.0 0.0 0.65 0.35 0.53 0.47 0.65 0.35 -0.0016163 -0.9416483 -1.226022 -0.8080182 4.016486 {Age [0]}*12 CD4% 8–15 [0] CD4% > 15 [0] Therapy Constant 0.00281565 0.08772529 0.26416448 -0.00621522 0.16645271 0.30221003 0.04639391 -0.01378772 0.00238245 0.24023323 -0.27476562 -0.15214939 -0.05415598 -0.13158383 0.11847359 0.0 -5.999E-4 0.0095913 -0.0572336 -0.0215848 3.025844 {Age [0]}*12 CD4% 8–15 [0] CD4% > 15 [0] Therapy Constant 2.3336E-4 -0.02010857 0.03065613 0.0075411 0.00753585 0.01946795 -0.01901889 0.00793382 -0.00370549 0.0175396 -0.0120352 -0.01290483 -0.0072482 -0.00630034 0.00844629 0.0 0.818 0.702 0.0 0.0 0.0043 0.0 0.0086 0.0 15.4 COST_EFFECTIVENESS £ 20 BEGINNING