Please use this identifier to cite or link to this item:
|Title:||The ostrich approach - Prognostic avoidance, strategies and barriers to assessing older hospital patients' risk of dying.||Austin Authors:||Gerber, Katrin;Hayes, Barbara;Bloomer, Melissa J;Perich, Carol;Lock, Kayla;Slee, Jo-Anne;Lee, Dr Cik Yin;Yates, Paul A||Affiliation:||Melbourne Ageing Research Collaboration, National Ageing Research Institute, Parkville VIC, 3052 Australia..
Cancer Services, Northern Health, Bundoora VIC, 3083 Australia..
School of Nursing and Midwifery, Deakin University, Geelong, VIC, 3220, Australia..
Ageing, Cancer and Continuing Care Division, Western Health, Williamstown VIC, 3016 Australia..
Melbourne Ageing Research Collaboration, National Ageing Research Institute, Parkville VIC, 3052 Australia..
Quality, Improvement and Patient Experience, The Royal Melbourne Hospital, Parkville VIC, 3052 Australia..
Centre for Medicine Use and Safety, Monash University; Parkville VIC, 3052 Australia..
Melbourne School of Psychological Science, University of Melbourne, Parkville VIC, 3010 Australia..
Northern Clinical School, University of Melbourne, Bundoora VIC, 3083 Australia..
Centre for Quality and Patient Safety Research, Institute for Health Transformation, Deakin University, Geelong, VIC, 3220 Australia..
School of Nursing and Midwifery, Griffith University, Griffith, QLD, 4222 Australia..
Intensive Care Unit, Princess Alexandra Hospital, Woolloongabba, QLD, 4102 Australia..
Department of Nursing, University of Melbourne, Parkville VIC, 3052 Australia..
|Issue Date:||Jul-2022||metadata.dc.date:||2022||Publication information:||Geriatric nursing (New York, N.Y.) 2022; 46: 105-111||Abstract:||Predicting older patients' life expectancy is an important yet challenging task. Hospital aged care assessment teams advise treating teams on older patients' type and place of care, directly affecting quality of care. Yet, little is known about their experiences with prognostication. Twenty semi-structured interviews were conducted with seven geriatricians/ registrars, ten nurses and three allied health staff from aged care assessment teams across two hospitals in Melbourne, Australia. Data were analysed thematically. To generate prognoses, clinicians used analytical thinking, intuition, assessments from others, and pattern matching. Prognostic tools were an underutilised resource. Barriers to recognition of dying included: diffusion of responsibility regarding whose role it is to identify patients at end-of-life; lack of feedback about whether a prognosis was correct; system pressures to pursue active treatment and vacate beds; avoidance of end-of-life discussions; lack of confidence, knowledge and training in prognostication and pandemic-related challenges.||URI:||https://ahro.austin.org.au/austinjspui/handle/1/30607||DOI:||10.1016/j.gerinurse.2022.05.004||ORCID:||0000-0001-9317-0145||Journal:||Geriatric nursing (New York, N.Y.)||PubMed URL:||35659649||PubMed URL:||https://pubmed.ncbi.nlm.nih.gov/35659649/||Type:||Journal Article||Subjects:||Prognosis
end of life
|Appears in Collections:||Journal articles|
Show full item record
checked on May 26, 2023
Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.