'How long do you think?' Unresponsive dying patients in a specialist palliative care service: A consecutive cohort study

被引:1
作者
O'Connor, Tricia [1 ,2 ,8 ]
Liu, Wai-Man [3 ]
Samara, Juliane [1 ]
Lewis, Joanne [4 ]
Paterson, Catherine [2 ,5 ,6 ,7 ]
机构
[1] North Canberra Hosp, Canberra Hlth Serv, Clare Holland House, Canberra, ACT, Australia
[2] Flinders Univ S Australia, Caring Futures Inst, Bedford Pk, SA, Australia
[3] Australian Natl Univ, Res Sch Finance Actuarial Studies & Stat, Canberra, ACT, Australia
[4] Avondale Coll, Fac Nursing & Hlth, Wahroonga, NSW, Australia
[5] Cent Adelaide Local Hlth Network, Adelaide, SA, Australia
[6] Univ Canberra, Sch Nursing Midwifery & Publ Hlth, Bruce, ACT, Australia
[7] Robert Gordon Univ, Aberdeen, Scotland
[8] Flinders Univ S Australia, Caring Futures Inst, Bedford Pk, SA 5042, Australia
关键词
Cohort study; palliative care; terminally ill; prognosis; Australia-modified Karnofsky Performance Status; terminal care; unresponsive; dying; prognostication; IMPENDING DEATH; CLINICAL SIGNS; PREDICTION; SURVIVAL; ACCURACY; SCORES; LIFE;
D O I
10.1177/02692163241238903
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: 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.
引用
收藏
页码:546 / 554
页数:9
相关论文
共 43 条
  • [1] Abernethy Amy P, 2005, BMC Palliat Care, V4, P7
  • [2] Managing uncertainty and references to time in prognostic conversations with family members at the end of life: A conversation analytic study
    Anderson, Rebecca J.
    Stone, Patrick C.
    Low, Joseph T. S.
    Bloch, Steven
    [J]. PALLIATIVE MEDICINE, 2020, 34 (07) : 896 - 905
  • [3] Using the Palliative Performance Scale to Estimate Survival for Patients at the End of Life: A Systematic Review of the Literature
    Baik, Dawon
    Russell, David
    Jordan, Lizeyka
    Dooley, Frances
    Bowles, Kathryn H.
    Creber, Ruth M. Masterson
    [J]. JOURNAL OF PALLIATIVE MEDICINE, 2018, 21 (11) : 1651 - 1661
  • [4] Comparing the Palliative Care Needs of Those With Cancer to Those With Common Non-Cancer Serious Illness
    Bostwick, Doran
    Wolf, Steven
    Samsa, Greg
    Bull, Janet
    Taylor, Donald H., Jr.
    Johnson, Kimberly S.
    Kamal, Arif H.
    [J]. JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2017, 53 (06) : 1079 - +
  • [5] Brown S., 2019, CAN MED ASSOC J, V191
  • [6] Revisiting the Palliative Performance Scale: Change in scores during disease trajectory predicts survival
    Chan, Ee-Yuee
    Wu, Huei-Yaw
    Chan, Yiong-Huak
    [J]. PALLIATIVE MEDICINE, 2013, 27 (04) : 367 - 374
  • [7] An overview of targets and therapies for glioblastoma multiforme
    Chandrasekar, Gayathri
    Bansal, Vinay Scheel
    Panigrahi, Manas
    Kitambi, Satish S.
    [J]. JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2022, 18 (03) : 591 - 598
  • [8] Prognostication in palliative care
    Chu, Christina
    White, Nicola
    Stone, Patrick
    [J]. CLINICAL MEDICINE, 2019, 19 (04) : 306 - 310
  • [9] Use of the Palliative Performance Scale to estimate survival among home hospice patients with heart failure
    Creber, Ruth Masterson
    Russell, David
    Dooley, Frances
    Jordan, Lizeyka
    Baik, Dawon
    Goyal, Parag
    Hummel, Scott
    Hummel, Ellen K.
    Bowles, Kathryn H.
    [J]. ESC HEART FAILURE, 2019, 6 (02): : 371 - 378
  • [10] Conversion of Karnofsky Performance Status (KPS) and Eastern Cooperative Oncology Group Performance Status (ECOG) to Palliative Performance Scale (PPS), and the Interchangeability of PPS and KPS in Prognostic Tools
    de Kock, Ingrid
    Mirhosseini, Mehrnoush
    Lau, Francis
    Thai, Vincent
    Downing, Michael
    Quan, Hue
    Lesperance, Mary
    Yang, Ju
    [J]. JOURNAL OF PALLIATIVE CARE, 2013, 29 (03) : 163 - 169