https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54554 Wed 28 Feb 2024 09:10:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45144 Wed 26 Oct 2022 19:11:38 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53359 Wed 22 Nov 2023 12:31:43 AEDT ]]> https://ogma.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://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54480 Wed 13 Mar 2024 19:05:21 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51715 Wed 13 Mar 2024 08:09:21 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45367 Thu 27 Oct 2022 15:37:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38299 p < 0.01). More patients preferred the two 20-min rather than the one 40-min consultation format (55% vs 45%, z = 4.284, p < 0.01). Information content did not influence choice. Age, cancer type, and patient-perceived prognosis were not associated with preferences. Conclusion: Healthcare professionals should assess cancer patients' preferences for engaging in life expectancy discussions as soon as they have this information, and ensure patients have adequate time to consider the information they receive, seek additional information and involve others if they wish.]]> Mon 29 Jan 2024 18:49:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42385 Mon 22 Aug 2022 15:11:15 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40356 Fri 22 Jul 2022 15:05:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46154 Fri 11 Nov 2022 19:05:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32216 Fri 10 Mar 2023 17:18:40 AEDT ]]>