Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24337
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dc.contributor.authorWhite, N-
dc.contributor.authorReid, F-
dc.contributor.authorVickerstaff, V-
dc.contributor.authorHarries, P-
dc.contributor.authorTomlinson, C-
dc.contributor.authorStone, P-
dc.date.accessioned2022-03-26T19:35:54Z-
dc.date.available2022-03-26T19:35:54Z-
dc.date.issued2019-05-10-
dc.identifierORCID iDs: Nicola White https://orcid.org/0000-0002-7438-0072; Priscilla Harries https://orcid.org/0000-0003-3123-6799; Patrick Stone https://orcid.org/0000-0002-5765-9047.-
dc.identifier.citationWhite, N., Reid F., Vickerstaff V., Harries, P., Tomlinson, C. and Stone, P. (2019) 'Imminent death: clinician certainty and accuracy of prognostic predictions', BMJ Supportive & Palliative Care, 12 (e6), pp. e785 - e791 (7). doi: 10.1136/bmjspcare-2018-001761.en_US
dc.identifier.issn2045-435X-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24337-
dc.descriptionData sharing statement All data relevant to the study are included in the article or uploaded as supplementary information.-
dc.description.abstractCopyright © Author(s) (or their employer(s)) 2022. Objectives: To determine the accuracy of predictions of dying at different cut-off thresholds and to acknowledge the extent of clinical uncertainty. Design: Secondary analysis of data from a prospective cohort study. Setting: An online prognostic test, accessible by eligible participants across the UK. Participants: Eligible participants were members of the Association of Palliative Medicine. 99/166 completed the test (60%), resulting in 1980 estimates (99 participants × 20 summaries). Main outcome measures: The probability of death occurring within 72 hours (0% certain survival-100% certain death) for 20 patient summaries. The estimates were analysed using five different thresholds: 50/50%, 40/60%, 30/70%, 20/80% and 10/90%, with percentage values between these extremes being regarded as ? €? indeterminate'. The positive predictive value (PPV), negative predictive value (NPV) and the number of indeterminate cases were calculated for each cut-off. Results: Using a <50% versus >50% threshold produced a PPV of 62%, an NPV of 74% and 5% indeterminate cases. When the threshold was changed to ≤10% vs ≥90%, the PPV and NPV increased to 75% and 88%, respectively, at the expense of an increase of indeterminate cases up to 62%. Conclusion: When doctors assign a very high (≥90%) or very low (≤10%) probability of imminent death, their prognostic accuracy is improved; however, this increases the number of ? €? indeterminate' cases. This suggests that clinical predictions may continue to have a role for routine prognostication but that other approaches (such as the use of prognostic scores) may be required for those cases where doctors' estimates are indeterminate.en_US
dc.description.sponsorshipUCL PhD Studentship; Marie Curie I-CAN-CARE Program grant (MCCC-FPO-16-U). Professor Stone is supported by the Marie Curie Chair’s grant (MCCC-509537).en_US
dc.format.extente785 - e791-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherBMJen_US
dc.rightsCopyright © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: https://creativecommons.org/licenses/by-nc/4.0/.-
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/-
dc.titleImminent death: Clinician certainty and accuracy of prognostic predictionsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1136/bmjspcare-2018-001761-
dc.relation.isPartOfBMJ Supportive and Palliative Care-
pubs.issuee6-
pubs.publication-statusPublished-
pubs.volume12-
dc.identifier.eissn2045-4368-
Appears in Collections:Dept of Health Sciences Research Papers

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