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The relationship of productivity-based wages to human rights and occupational justice - an exploratory study.
J Intellect Dev Disabil
September 2024
Occupational Therapy Program, School of Rehabilitation Therapy, Queen's University, Kingston, Canada.
Background: Productivity-based wage systems are intended to enhance the labour market participation of people with disabilities. Limited scholarship exists regarding the impact of such policies in practice. This qualitative study explored stakeholder perspectives on the Australian Supported Wage System (SWS), including perceptions of fairness and equity.
View Article and Find Full Text PDFImplications of the fair processes for financing UHC report for development assistance: reflections and an application of the decision-making principles to PEPFAR.
Health Econ Policy Law
January 2025
Health Systems Program, Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
The framework presented in the World Bank report Open and Inclusive: Fair processes for Financing Universal Health Coverage effectively connects proposed decision-making principles with practical examples that country governments can use to pursue greater fairness. In this commentary, we consider the suggestion that international development partners might use the report's criteria to examine their own processes. We consider what the report's primary Fair Process principles - equality, impartiality and consistency - imply for development partners.
View Article and Find Full Text PDFResponse to critics of .
Health Econ Policy Law
January 2025
Norwegian Institute of Public Health, Oslo, Norway.
In response to our critics, we clarify and defend key ideas in the report . First, we argue that procedural fairness has greater value than Dan Hausman allows. Second, we argue that the Report aligns with John Kinuthia's view that a knowledgeable public and a capable civil society, alongside good facilitation, are important for effective public deliberation.
View Article and Find Full Text PDFIssues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges.
Sensors (Basel)
January 2025
School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia.
Objective: In this paper, we explore the correlation between performance reporting and the development of inclusive AI solutions for biomedical problems. Our study examines the critical aspects of bias and noise in the context of medical decision support, aiming to provide actionable solutions. Contributions: A key contribution of our work is the recognition that measurement processes introduce noise and bias arising from human data interpretation and selection.
View Article and Find Full Text PDFBias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review.
J Med Internet Res
January 2025
Faculté des sciences infirmières, Université Laval, Québec, QC, Canada.
Background: Artificial intelligence (AI) predictive models in primary health care have the potential to enhance population health by rapidly and accurately identifying individuals who should receive care and health services. However, these models also carry the risk of perpetuating or amplifying existing biases toward diverse groups. We identified a gap in the current understanding of strategies used to assess and mitigate bias in primary health care algorithms related to individuals' personal or protected attributes.
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