This systematic review examines the use of discrete choice experiments (DCEs) in health economics from 2009 to 2012, building on a previous review from 2001 to 2008. The study found a significant increase in the number of DCEs published, with 179 studies meeting inclusion criteria during 2009–2012, compared to 114 during 2001–2008. The number of DCEs published annually increased from an average of 14 per year in 2001–2008 to 45 per year in 2009–2012, indicating a growing trend in the use of DCEs in health economics. The geographical spread of DCEs has also expanded, with a decline in the proportion of studies originating from the UK and an increase in studies from the USA, Canada, Denmark, the Netherlands, and Germany. The number of attributes included in DCEs has fluctuated, with a notable increase in studies using between seven and nine attributes. The use of computer-administered DCEs has increased significantly, reflecting advancements in technology and the increasing use of computers in health research. The design of DCEs has evolved, with a shift from full factorial designs to fractional factorial designs and an increased use of mixed logit and latent class models. The use of econometric models has improved, with a greater focus on preference heterogeneity. However, the use of qualitative methods to inform attribute selection has declined, which may lead to omitted variable bias in DCE results. The application of DCEs has broadened, with a shift from valuing patient experience to examining trade-offs between health outcomes and experience factors. The use of utility scores as an outcome measure has increased, while the use of monetary welfare measures has decreased. The use of odds ratios and probabilities has declined, while the use of utility scores has increased. The review also highlights the increasing use of DCEs in policy-making, with a growing number of studies being used to inform health policy decisions. However, there are concerns about the declining use of qualitative methods to inform attribute selection, which may affect the validity of DCE results. Overall, the study concludes that the use of DCEs in healthcare continues to grow, and more sophisticated approaches to DCE design and analysis are improving the quality of final outputs.This systematic review examines the use of discrete choice experiments (DCEs) in health economics from 2009 to 2012, building on a previous review from 2001 to 2008. The study found a significant increase in the number of DCEs published, with 179 studies meeting inclusion criteria during 2009–2012, compared to 114 during 2001–2008. The number of DCEs published annually increased from an average of 14 per year in 2001–2008 to 45 per year in 2009–2012, indicating a growing trend in the use of DCEs in health economics. The geographical spread of DCEs has also expanded, with a decline in the proportion of studies originating from the UK and an increase in studies from the USA, Canada, Denmark, the Netherlands, and Germany. The number of attributes included in DCEs has fluctuated, with a notable increase in studies using between seven and nine attributes. The use of computer-administered DCEs has increased significantly, reflecting advancements in technology and the increasing use of computers in health research. The design of DCEs has evolved, with a shift from full factorial designs to fractional factorial designs and an increased use of mixed logit and latent class models. The use of econometric models has improved, with a greater focus on preference heterogeneity. However, the use of qualitative methods to inform attribute selection has declined, which may lead to omitted variable bias in DCE results. The application of DCEs has broadened, with a shift from valuing patient experience to examining trade-offs between health outcomes and experience factors. The use of utility scores as an outcome measure has increased, while the use of monetary welfare measures has decreased. The use of odds ratios and probabilities has declined, while the use of utility scores has increased. The review also highlights the increasing use of DCEs in policy-making, with a growing number of studies being used to inform health policy decisions. However, there are concerns about the declining use of qualitative methods to inform attribute selection, which may affect the validity of DCE results. Overall, the study concludes that the use of DCEs in healthcare continues to grow, and more sophisticated approaches to DCE design and analysis are improving the quality of final outputs.