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Growth and changing landscape of the cost-utility literature: an Australian perspective, 1992-2022
Qing Xia1, Steven M McPhail2, Clifford Afoakwah3
1Australian Centre for Health Services Innovation (AusHSI) and Centre for Healthcare Transformation, School of Public Health & Social Work, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Background:
Since the introduction of cost-utility analysis (CUA) in the 1990s, its methodologies and applications have evolved significantly in Australia.
Objectives:
To provide a comprehensive overview of the volume, trends, and characteristics of the application of CUA in healthcare decision-making.
Methods:
Bibliometric analysis of published CUAs identified from the Cost-Effectiveness Analysis Registry, a `1comprehensive source of CUA data between 1992 and 2022. Multinomial logistic regression models were conducted to explore the associations between ICERs and variables including sponsorship, perspective, and discount rate.
Results:
N = 484 unique Australian-based CUAs were analysed. Over the last three decades, the volume and quality of CUAs in Australia have steadily increased. Commonly evaluated interventions included pharmaceuticals (21.5 %), health education/behaviour (18.0 %), and models of care (16.6 %), while diseases of circulatory system, cancers, and metabolic diseases were the most studied health conditions. Only nine CUAs involved First Nations people. Most CUAs (72.9 %) were conducted from a healthcare payer perspective, with only 19.0 % adopting a societal perspective. Approximately half of studies applied a 5 % discount rate, and 50.4 % used a $50,000 WTP threshold. 14.7 % CUAs were sponsored by industry. Regression analyses showed that industry sponsorship, societal perspective, and lower discount rate were positively associated with lower ICERs.
Conclusions:
The increasing volume of CUAs underscores the importance of efficient allocation of scare resources in Australian health system. However, gaps remain, particularly in the inclusion of First Nations populations and the societal costs. Further research is needed to address these gaps and to evaluate the impact of sponsorship and discounting on CUA outcomes.
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