25 research outputs found

    End-of-life priorities of older adults with terminal illness and caregivers: A qualitative consultation

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    Abstract Background As older adults approach the end‐of‐life (EOL), many are faced with complex decisions including whether to use medical advances to prolong life. Limited information exists on the priorities of older adults at the EOL. Objective This study aimed to explore patient and family experiences and identify factors deemed important to quality EOL care. Method A descriptive qualitative study involving three focus group discussions (n = 18) and six in‐depth interviews with older adults suffering from either a terminal condition and/or caregivers were conducted in NSW, Australia. Data were analysed thematically. Results Seven major themes were identified as follows: quality as a priority, sense of control, life on hold, need for health system support, being at home, talking about death and competent and caring health professionals. An underpinning priority throughout the seven themes was knowing and adhering to patient's wishes. Conclusion Our study highlights that to better adhere to EOL patient's wishes a reorganization of care needs is required. The readiness of the health system to cater for this expectation is questionable as real choices may not be available in acute hospital settings. With an ageing population, a reorganization of care which influences the way we manage terminal patients is required

    Appropriateness of intensive care treatments near the end of life during the COVID-19 pandemic

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    The patient and family perspective on the appropriateness of intensive care unit (ICU) treatments involves preferences, values and social constructs beyond medical criteria. The clinician’s perception of inappropriateness is more reliant on clinical judgment. Earlier consultation with families before ICU admission and patient education on the outcomes of life-sustaining therapies may help reconcile these provider–patient disagreements. However, global emergencies like COVID-19 change the usual paradigm of end-of-life care, as it is a new disease with only scarce predictive information about it. Pandemics can also bring about the burdensome predicament of doctors having to make unwanted choices of rationing access to the ICU when demand for otherwise life-saving resources exceeds supply. Evidence-based prognostic checklists may guide treatment triage but the principles of shared decision-making are unchanged. Yet, they need to be altered with respect to COVID-19, defining likely outcomes and likelihood of benefit for the patient, and clarifying their willingness to take on the risks inherent to being in an ICU for 2 weeks for those eligible. For patients who are admitted during the prodrome of COVID-19 disease, or those who deteriorate in the second week, clinicians have some lead time in hospital to have appropriate discussions about ceilings of treatments offered based on severity

    Frailty in Indigenous populations: A scoping review

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    Background: Indigenous populations experience high rates of age-related illness when compared to their non-Indigenous counterparts. Frailty is a challenging expression of aging and an important public health priority. The purpose of this review was to map what the existing literature reports around frailty in Indigenous populations and to highlight the current gaps in frailty research within the Indigenous landscape. Method: Scoping review of English language original research articles focusing on frailty within Indigenous adult populations in settler colonial countries (Australia, Canada, New Zealand and USA). Ten electronic databases and eight relevant institutional websites were searched from inception to October 2020. Results: Nine articles met our inclusion criteria, finding this population having a higher prevalence of frailty and frailty occurring at younger ages when compared to their non-Indigenous counterparts, but two did not use a formal frailty tool. Females presented with higher levels of frailty. No culturally specific frailty tool was identified, and the included articles did not assess strategies or interventions to manage or prevent frailty in Indigenous peoples. Conclusions: There was little definitive evidence of the true frailty prevalence, approaches to frailty screening and of potential points of intervention to manage or prevent the onset of frailty. Improvements in the quality of evidence are urgently needed, along with further research to determine the factors contributing to higher rates of frailty within Indigenous populations. Incorporation of Indigenous views of frailty, and instruments and programs that are led and designed by Indigenous communities, are crucial to address this public health priority

    How Do Patients with Life-Limiting Illness and Caregivers Want End-Of-Life Prognostic Information Delivered? A Pilot Study

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    We aimed to identify the level of prognostic disclosure, type of prognostic information and delivery format of prognostic communication that older adults diagnosed with a life-limiting illness or caregivers prefer to receive. We developed and pilot tested an open-ended survey to 15 older patients and caregivers who had experience in health services for life-limiting illness either for a relative, friend or themselves. Five hypothetical clinical scenarios of prognostic options were presented to ascertain preferences. The preferred format to receive prognostic information was verbal delivery by the clinician with a written summary. Photos and videos were less favoured, and a table with numbers/percentages was least preferred. Distress levels to the prognostic scenarios were low, with the exception of a photo. We conclude that older patients/caregivers want end-of-life prognostic information delivered the traditional way, verbally by clinicians. Options to deliver prognostic information may vary across patient groups but empower clinicians in introducing end-of-life discussions with patients/caregivers. Our study illustrates the feasibility of involving terminal patients and caregivers in research that contributes to eliciting prognostic preferences. Further research is needed to understand whether the prognostic preferences of hospitalized patients with life-limiting illness differ

    Clinicians’ and public acceptability of universal risk-of-death screening for older people in routine clinical practice in Australia: Cross-sectional surveys

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    Background Clinicians’ delays to identify risk of death and communicate it to patients nearing the end of life contribute to health-related harm in health services worldwide. This study sought to ascertain doctors, nurses and senior members of the public’s perceptions of the routine use of a screening tool to predict risk of death for older people. Methods Cross-sectional online, face-to-face and postal survey of 360 clinicians and 497 members of the public. Results Most (65.9%) of the members of the public welcomed (and 12.3% were indifferent to) the use of a screening tool as a decision guide to minimise overtreatment and errors from clinician assumptions. Supporters of the use of a prognostic tool were likely to be males with high social capital, chronically ill and who did not have an advance health directive. The majority of clinicians (75.6%) reported they were likely or very likely to use the tool, or might consider using it if convinced of its accuracy. A minority (13.3%) stated they preferred to rely on their clinical judgement and would be unlikely to use it. Differentials in support for tools by seniority were observed, with more support expressed by nurses, interns and registrars than medical specialists (χ2=12.95, p=0.044) and by younger (<40 years) clinicians (81.2% vs. 71.2%, p=0.0058). Discussion The concept of integrating prognostication of death in routine practice was not resisted by either target group. Conclusion Findings indicate that screening for risk of death is seen as potentially useful and suggests the readiness for a culture change. Future research on implementation strategies could be a step in the right direction

    Feasibility of using a risk assessment tool to predict hospital transfers or death for older people in Australian residential aged care. A retrospective cohort study.

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    Residents of Aged Care Facilities (RACF) experience burdensome hospital transfers in the last year of life, which may lead to aggressive and potentially inappropriate hospital treatments. Anticipating these transfers by identifying risk factors could encourage end-of-life discussions that may change decisions to transfer. The aim was to examine the feasibility of identifying an end-of-life risk profile among RACF residents using a predictive tool to better anticipate predictors of hospital transfers, death or poor composite outcome of hospitalisation and/or death after initial assessment. A retrospective cohort study of 373 permanent residents aged 65+ years was conducted using objective clinical factors from records in nine RACFs in metropolitan Sydney, Australia. In total, 26.8% died and 34.3% experienced a composite outcome. Cox proportional hazard regression models confirmed the feasibility of estimating the level of risk for death or a poor composite outcome. Knowing this should provide opportunities to initiate advance care planning in RACFs, facilitating decision making near the end of life. We conclude that the current structure of electronic RACF databases could be enhanced to enable comprehensive assessment of the risk of hospital re-attendance without admission. Automation tools to facilitate the risk score calculation may encourage the adoption of prediction checklists and evaluation of their association with hospital transfers

    Prospective validation of a checklist to predict short-term death in older patients after emergency department admission in Australia and Ireland

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    Abstract Background Emergency departments (EDs) are pressured environment where patients with supportive and palliative care needs may not be identified. We aimed to test the predictive ability of the CriSTAL (Criteria for Screening and Triaging to Appropriate aLternative care) checklist to flag patients at risk of death within 3 months who may benefit from timely end-of-life discussions. Methods Prospective cohorts of >65-year-old patients admitted for at least one night via EDs in five Australian hospitals and one Irish hospital. Purpose-trained nurses and medical students screened for frailty using two instruments concurrently and completed the other risk factors on the CriSTAL tool at admission. Postdischarge telephone follow-up was used to determine survival status. Logistic regression and bootstrapping techniques were used to test the predictive accuracy of CriSTAL for death within 90 days of admission as primary outcome. Predictability of in-hospital death was the secondary outcome. Results A total of 1,182 patients, with median age 76 to 80 years (IRE-AUS), were included. The deceased had significantly higher mean CriSTAL with Australian mean of 8.1 (95% confidence interval [CI] = 7.7–8.6) versus 5.7 (95% CI = 5.1–6.2) and Irish mean of 7.7 (95% CI = 6.9–8.5) versus 5.7 (95% CI = 5.1–6.2). The model with Fried frailty score was optimal for the derivation (Australian) cohort but prediction with the Clinical Frailty Scale (CFS) was also good (areas under the receiver-operating characteristic [AUROC] = 0.825 and 0.81, respectively). Values for the validation (Irish) cohort were AUROC = 0.70 with Fried and 0.77 using CFS. A minimum of five of 29 variables were sufficient for accurate prediction, and a cut point of 7+ or 6+ depending on the cohort was strongly indicative of risk of death. The most significant independent predictor of short-term death in both cohorts was frailty, carrying a twofold risk of death. CriSTAL's accuracy for in-hospital death prediction was also good (AUROC = 0.795 and 0.81 in Australia and Ireland, respectively), with high specificity and negative predictive values. Conclusions The modified CriSTAL tool (with CFS instead of Fried's frailty instrument) had good discriminant power to improve certainty of short-term mortality prediction in both health systems. The predictive ability of models is anticipated to help clinicians gain confidence in initiating earlier end-of-life discussions. The practicalities of embedding screening for risk of death in routine practice warrant further investigation
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