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What Can Public Health Administration Learn from the Decision-Making Processes during COVID-19?
Joyce, Andrew; Risely, Emma; Green, Celia; Carey, Gemma; Buick, Fiona.
Afiliação
  • Joyce A; Centre for Social Impact, Swinburne University of Technology, Hawthorn 3122, Australia.
  • Risely E; Centre for Social Impact, Swinburne University of Technology, Hawthorn 3122, Australia.
  • Green C; Centre for Social Impact, University of New South Wales, Sydney 2052, Australia.
  • Carey G; Centre for Social Impact, University of New South Wales, Sydney 2052, Australia.
  • Buick F; School of Business, University of New South Wales, Canberra 2612, Australia.
Article em En | MEDLINE | ID: mdl-38276793
ABSTRACT
Human decision-making is prone to biases and the use of heuristics that can result in making logical errors and erroneous causal connections, which were evident during COVID-19 policy developments and potentially contributed to the inadequate and costly responses to COVID-19. There are decision-making frameworks and tools that can improve organisational decision-making. It is currently unknown as to what extent public health administrations have been using these structured organisational-level decision-making processes to counter decision-making biases. Current reviews of COVID-19 policies could examine not just the content of policy decisions but also how decisions were made. We recommend that understanding whether these decision-making processes have been used in public health administration is key to policy reform and learning from the COVID-19 pandemic. This is a research and practice gap that has significant implications for a wide range of public health policy areas and potentially could have made a profound difference in COVID-19-related policy responses.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Administração em Saúde Pública / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Administração em Saúde Pública / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália