https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42020 Wed 17 Aug 2022 10:42:28 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42017 N = 153 respondents). Interventions were described in terms of different efficiency and equity attributes (severity of disease, target age of the population and willingness to subsidise others, potential number of beneficiaries, individual health benefit, and cost-effectiveness). Parameter estimates from the DCE were used to calculate the probability of choosing a healthcare intervention with different characteristics, and to rank different equity and efficiency attributes according to their importance. Results: In all three countries, cost-effectiveness, individual health benefit and severity of the disease were significant and equally important determinants of decisions. All countries show preferences for interventions targeting young and middle aged populations compared to those targeting populations over 60. However, decision-makers in Austria and Hungary show preferences more oriented to efficiency than equity, while those in Norway show equal preferences for equity and efficiency attributes. Conclusion: We find that factors other than cost-effectiveness seem to play an equally important role in decision-making. We also find evidence of cross-country differences in the weight of efficiency and equity attributes.]]> Wed 17 Aug 2022 10:35:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51021 Wed 16 Aug 2023 09:48:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42018 Wed 13 Mar 2024 18:27:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42396 Mon 22 Aug 2022 16:00:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42385 Mon 22 Aug 2022 15:11:15 AEST ]]>