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Table 4 Sensitivity analysis descriptions

From: Economic evaluation of HIV testing options for low-prevalence high-income countries: a systematic review

Authors

Analysis type

Study design (follow up)

Modelling method

Type of sensitivity analysis

Parameters

Cipriano LE et al., 2012 [44]

Cost-utility

Deterministic dynamic compartmental model

Dynamic compartmental model

Univariate deterministic sensitivity analysis

No of IDU’s by city; Prevalence of HIV and HCV

Sanders GD et al., 2010 [46]

Cost-effectiveness

Trial based Markov model

Markov model

Univariate and multivariate deterministic sensitivity analysis; Probabilistic sensitivity analysis

HIV test characteristics; Test probability; Probability of undiagnosed HIV; Probabilities of receiving HIV test result given positive and negative result

Dowdy DW et al., 2011 [45]

Cost-effectiveness

Decision analysis

Decision analysis

Univariate deterministic sensitivity analysis

Prevalence of undiagnosed HIV; Annual HIV transmission rate; Lifetime cost of treating new HIV cases; Monthly test volume; HIV awareness

Paltiel A D et al., 2005 [47]

Cost-utility

Model-based evaluation: Monte Carlo, state-transition framework

State-transition simulation model

Multivariate deterministic sensitivity analysis

Testing frequency; Proportion of persons returning for results; Efficacy of antiretroviral (ARV); Proportion of infected on ARV

Walensky R P et al., 2005 [48, 49]

Cost-utility

State-transition simulation model

State-transition simulation model

Univariate deterministic sensitivity analysis

Testing costs; CD4 counts; HIV Prevalence; Cost of ARV