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How long do you think? Unresponsive dying patients in a Specialist Palliative Care Service: A consecutive cohort study

avondale.affiliateLewis, Joanne; 0000-0001-8668-712X
avondale.departmentLifestyle Medicine and Health Research Centre
avondale.facultyNursing
avondale.reporting.fieldOfEducation06 Health
avondale.reporting.fieldOfResearch42 HEALTH SCIENCES::4203 Health services and systems
avondale.reporting.isPeerReviewedPeer Reviewed
avondale.reporting.versionVoR
dc.contributor.authorO'Connor, Tricia
dc.contributor.authorLiu, Wai-Man
dc.contributor.authorSamara, Juliane
dc.contributor.authorLewis, Joanne
dc.contributor.authorPaterson, Catherine
dc.date.accessioned2025-02-13T05:51:18Z
dc.date.issued2024-05-01
dc.description
dc.description.abstractBackground: Predicting length of time to death once the person is unresponsive and deemed to be dying remains uncertain. Knowing approximately how many hours or days dying loved ones have left is crucial for families and clinicians to guide decision-making and plan end-of-life care. Aim: To determine the length of time between becoming unresponsive and death, and whether age, gender, diagnosis or location-of-care predicted length of time to death. Design: Retrospective cohort study. Time from allocation of an Australia-modified Karnofsky Performance Status (AKPS) 10 to death was analysed using descriptive narrative. Interval-censored survival analysis was used to determine the duration of patient’s final phase of life, taking into account variation across age, gender, diagnosis and location of death. Setting/participants: A total of 786 patients, 18 years of age or over, who received specialist palliative care: as hospice in-patients, in the community and in aged care homes, between January 1st and October 31st, 2022. Results: The time to death after a change to AKPS 10 is 2 days (n = 382; mean = 2.1; median = 1). Having adjusted for age, cancer, gender, the standard deviation of AKPS for the 7-day period prior to death, the likelihood of death within 2 days is 47%, with 84% of patients dying within 4 days. Conclusion: This study provides valuable new knowledge to support clinicians’ confidence when responding to the ‘how long’ question and can inform decision-making at end-of-life. Further research using the AKPS could provide greater certainty for answering ‘how long’ questions across the illness trajectory.
dc.identifier.citationO'Connor, T., Liu, W., Samara, J., Lewis, J., & Paterson, C. (2024). How long do you think? Unresponsive dying patients in a specialist palliative care service: A consecutive cohort study. <i>Palliative Medicine, 38</i>(5), 546-554. https://doi.org/10.1177/02692163241238903
dc.identifier.doihttps://doi.org/10.1177/02692163241238903
dc.identifier.issn1477-030X
dc.identifier.urihttps://research.avondale.edu.au/handle/1897/36055331
dc.language.isoen
dc.publisherSAGE
dc.relation.ispartofPalliative Medicine
dc.relation.urihttps://journals.sagepub.com/doi/10.1177/02692163241238903
dc.rights&copy; 2024 The Authors.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCohort study
dc.subjectpalliative care
dc.subjectterminally ill
dc.subjectprognosis
dc.subjectAustralia-modified Karnofsky Performance Status
dc.subjectterminal care
dc.subjectunresponsive
dc.subjectdying
dc.subjectprognostication
dc.titleHow long do you think? Unresponsive dying patients in a Specialist Palliative Care Service: A consecutive cohort study
dc.typeJournal Article
dcterms.accessRightsOpen Access
dcterms.license

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