OBJECTIVE: The objective of this study was to assess the impact of modeling type on the economic evaluation of screening programs for asymptomatic Chlamydia trachomatis infections. STUDY: We compared a stochastic network simulation model (dynamic model) with a decision analysis model (static model) for estimating the cost-effectiveness of an opportunistic screening program. The influence of the model type on the required data, the computed results, and the sensitivity of model parameters were investigated. RESULTS: When compared with static modeling, dynamic modeling yielded different cost-effectiveness ratios and identified other optimal screening strategies as it considers changes in the force of infection caused by screening. However, it is more complex, data- and time-demanding, and more sensitive to some parameters affecting the force of infection than static modeling. CONCLUSIONS: Dynamic models should be applied for the economic evaluation of prevention measures that have the potential to lower the force of infection such as large-scale chlamydial screening programs.
OBJECTIVE: The objective of this study was to assess the impact of modeling type on the economic evaluation of screening programs for asymptomatic Chlamydia trachomatis infections. STUDY: We compared a stochastic network simulation model (dynamic model) with a decision analysis model (static model) for estimating the cost-effectiveness of an opportunistic screening program. The influence of the model type on the required data, the computed results, and the sensitivity of model parameters were investigated. RESULTS: When compared with static modeling, dynamic modeling yielded different cost-effectiveness ratios and identified other optimal screening strategies as it considers changes in the force of infection caused by screening. However, it is more complex, data- and time-demanding, and more sensitive to some parameters affecting the force of infection than static modeling. CONCLUSIONS: Dynamic models should be applied for the economic evaluation of prevention measures that have the potential to lower the force of infection such as large-scale chlamydial screening programs.
Authors: Ingrid V F van den Broek; Christian J P A Hoebe; Jan E A M van Bergen; Elfi E H G Brouwers; Eva M de Feijter; Johannes S A Fennema; Hannelore M Götz; Rik H Koekenbier; Sander M van Ravesteijn; Eline L M Op de Coul Journal: BMC Infect Dis Date: 2010-04-07 Impact factor: 3.090
Authors: G I J G Rours; Tamar Anne Smith-Norowitz; Jared Ditkowsky; Margaret R Hammerschlag; R P Verkooyen; R de Groot; H A Verbrugh; M J Postma Journal: Pathog Glob Health Date: 2016 Oct - Dec Impact factor: 2.894
Authors: M Romoren; F Hussein; T W Steen; M Velauthapillai; J Sundby; P Hjortdahl; I S Kristiansen Journal: Sex Transm Infect Date: 2007-10-11 Impact factor: 3.519