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Public Preferences for Allocating Ventilators in an Intensive Care Unit: A Discrete Choice Experiment.
Norman, Richard; Robinson, Suzanne; Dickinson, Helen; Williams, Iestyn; Meshcheriakova, Elena; Manipis, Kathleen; Anstey, Matthew.
  • Norman R; School of Population Health, Curtin University, Kent Street, Bentley, Perth, WA, 6102, Australia. richard.norman@curtin.edu.au.
  • Robinson S; School of Population Health, Curtin University, Kent Street, Bentley, Perth, WA, 6102, Australia.
  • Dickinson H; School of Public Policy, University of Birmingham, Birmingham, UK.
  • Williams I; School of Business, University of New South Wales, Canberra, ACT, Australia.
  • Meshcheriakova E; Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, NSW, Australia.
  • Manipis K; Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, NSW, Australia.
  • Anstey M; School of Population Health, Curtin University, Kent Street, Bentley, Perth, WA, 6102, Australia.
Patient ; 14(3): 319-330, 2021 05.
Article in English | MEDLINE | ID: covidwho-1117440
ABSTRACT
BACKGROUND AND

OBJECTIVE:

During the COVID-19 pandemic, resources in intensive care units (ICUs) have the potential to be inadequate to treat all those who might benefit. Therefore, it is paramount to identify the views of the community regarding how to allocate such resources. This study aims to quantify Australian community preferences for ventilation allocation.

METHODS:

A discrete choice experiment was designed and administrated to an adult Australian online panel. Each survey respondent answered 12 choice sets from a total design of 120. Each choice set placed the respondent in the role of hypothetical decision maker, prioritising care between two patients. Conditional logit, mixed logit regression and latent class analysis were used to analyse the data. Additionally, we asked a series of attitudinal questions about different methods of making such decisions in practice, focusing on who should be responsible.

RESULTS:

A total of 1050 community members completed the survey and responded to each choice. Dimensions considered most important were age, likely effectiveness, smoking status, whether the person has dependents, whether they are a healthcare worker, and whether they have a disability or not. Estimating marginal rates of substitution between patient characteristics and chance of survival if ventilated yielded values of up to 30 percentage points if the patient was 70 years old relative to being 30. However, respondents typically said they would prefer such decisions to be made by medical professionals.

CONCLUSION:

This study demonstrated the preferences of the community to allocation of ventilators during the COVID-19 pandemic. The use of such information should be treated with some caution as the underlying reason for such preferences are unclear, and respondents themselves preferred the decision to be made by others.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Care Rationing / Ventilators, Mechanical / Choice Behavior / COVID-19 Type of study: Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Oceania Language: English Journal: Patient Year: 2021 Document Type: Article Affiliation country: S40271-021-00498-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Care Rationing / Ventilators, Mechanical / Choice Behavior / COVID-19 Type of study: Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Oceania Language: English Journal: Patient Year: 2021 Document Type: Article Affiliation country: S40271-021-00498-z