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Communicating About Mortality in Health Decision Support: 'What and Why and When, and How and Where and Who'.
Dowie, Jack; Kaltoft, Mette Kjer; Rajput, Vije Kumar.
  • Dowie J; London School of Hygiene and Tropical Medicine.
  • Kaltoft MK; University of Southern Denmark.
  • Rajput VK; University of Southern Denmark.
Stud Health Technol Inform ; 285: 31-38, 2021 Oct 27.
Article in English | MEDLINE | ID: covidwho-1502261
ABSTRACT
The Covid-19 pandemic has only accelerated the need and desire to deal more openly with mortality, because the effect on survival is central to the comprehensive assessment of harms and benefits needed to meet a 'reasonable patient' legal standard. Taking the view that this requirement is best met through a multi-criterial decision support tool, we offer our preferred answers to the questions of What should be communicated about mortality in the tool, and How, given preferred answers to Who for, Who by, Why, When, and Where. Summary measures, including unrestricted Life Expectancy and Restricted Mean Survival Time are found to be reductionist and relative, and not as easy to understand and communicate as often asserted. Full lifetime absolute survival curves should be presented, even if they cannot be 'evidence-based' beyond trial follow-up limits, along with equivalent measures for other criteria in the (necessarily) multi-criterial decision. A decision support tool should relieve the reasonable person of the resulting calculation burden.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Decision Support Systems, Clinical / Advance Care Planning Type of study: Cohort study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Decision Support Systems, Clinical / Advance Care Planning Type of study: Cohort study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article