Background Non-cancer diagnoses are the leading causes of death globally, yet palliative care access for these populations remains inconsistent. The aim of this study was to compare clinico-demographic characteristics and hospital service utilisation between patients who did and did not access palliative care among individuals who died in hospital from non-cancer conditions. Methods: Retrospective cohort study using linked, routinely collected hospital patient data of all patients who died from non-cancer diseases between 1 January 2018 and 31 December 2019 at a metropolitan hospital in Sydney, Australia. An a priori criterion identified patients who were likely to have benefited from palliative care. Results: Of 1,079 deaths, 439 (41%) patients were identified as likely to benefit from palliative care, of whom 240 (55%) patients accessed palliative care. Patients who accessed palliative care were associated with lower average daily costs ($1779 versus $5880, p<0.001), total costs ($14,277 versus $18015, p=0.006), intensive care unit admissions (15% versus 56%, p<0.05), but longer median lengths of stay (10 versus 5 days, p<0.001) in the admission that included their death compared to those who did not access palliative care. Nursing (21%) and critical care, including critical care nursing costs (40%) were the largest cost components for patients who accessed palliative care and those who did not, respectively. Conclusions: Nearly half of patients with non-cancer diseases who may have benefited from palliative care did not access these services. Although palliative care was associated with lower daily and total costs, patients had longer hospital stays, highlighting the need to refine models of care for these patients.

Patient-centred outcome measures (PCOMs), when well implemented, are powerful tools facilitating patient, family and clinical communication to better respond to patient needs. Their routine use in palliative care practice still faces challenges. To update a systematic review of PCOMs implementation, reviewing and synthesising new evidence on facilitators, barriers, lessons learned, measures used, models of implementation, costs, implementation outcomes, and consequences in clinical practice. We searched eight information sources supplemented by hand-searching and citations of the original review and studies identified by the expert advisory committee. This prospectively registered review included studies using a PCOM during clinical care of adult patients with advanced disease in all settings and extracted data on: PCOMs used, models of implementation, facilitators, barriers, lessons learned, costs, and implementation outcomes. We employed narrative synthesis and tabulated findings, following all PRISMA reporting guidelines. We included 114 studies. A major new facilitator was the integration of electronic/digital PCOMs into Information Technology systems. Main barriers remain largely unchanged and relate to healthcare professionals’ beliefs. Implementation was highlighted as a complex intervention, needing planning, assessment and fine tuning throughout. Sixty-two included studies mentioned at least one implementation outcome. Eighteen models, frameworks and theories were identified in 25 included studies. No studies reported on costs of implementation. This work reveals the complexity of implementing PCOMs in palliative care practice. The main clinical and research implications of our findings highlight the central importance of staff engagement and training staff in PCOM tools, communication strategies, and cultural competence.

BACKGROUND:Community Palliative Care Services, a limited resource, helps patients spend as much time at home as possible by managing their symptoms and supporting caregivers in the community. AIM:To describe the characteristics of patients discharged alive from the Community Palliative Care Services and to determine the outcomes of those discharged alive, including overall survival, subsequent place of death, and health service use.Design, setting/participants:Linked administrative clinical data were analysed for all adults discharged from an Australian metropolitan Community Palliative Care Services in Sydney between July 2010 and September 2018. That data comprised death records, ambulance, emergency, and hospital admissions. Factors associated with 30-day re-presentation to these services after discharge from the Community Palliative Care Services were examined using logistic regression. RESULTS:Of 5270 community patients, 20% (n = 1095) were alive at discharge. The median follow-up after the first discharge was 259 (95% CI 214-287) days, with 40% (n = 454) of these having a subsequent community palliative care referral. Six hundred and sixty-four (61%) died within a year of discharge, and 45% (n = 495) died in the community. Patients who lived in private residences and who had a malignant disease had higher odds of 30-day hospital re-presentation. CONCLUSION:As the demand for Community Palliative Care Services increases, delivering equitable and efficient services to patients with palliative care needs becomes challenging with limited resources. Factors associated with hospital readmission shortly after discharge from the Community Palliative Care Services should be further explored to determine interventions that may support patients and families in their illness trajectory.

OBJECTIVE:To describe the types of hospital and out-of-hospital services provided by public geriatric medicine departments in Australia and New Zealand, and to explore head of department (HOD) views on issues in current and future service provision. METHODS:An electronic survey was sent to HODs of public geriatric medicine departments. RESULTS:Seventy-six (89%) of 85 identified HODs completed the survey. Seventy-one (93%) departments admit inpatients and 51 (67%) admit acute inpatients, with variable admission criteria. Sixty-four (84%) have hospitals with an inpatient general medicine service, and 58 (91%) of these admit older patients with acute geriatric issues. Sixty (79%) departments provide inpatient rehabilitation. Forty (53%) have beds for behavioural symptoms of dementia and/or delirium. Seventy (92%) provide a proactive orthogeriatric service. In terms of out-of-hospital services, 74 (97%) departments have outpatient clinics, 59 (78%) have telehealth and 68 (89%) perform home visits. Forty-five (59%) provide an inreach/outreach service to nursing homes. The most frequent gaps in service provision identified by HODs were acute geriatrics, surgical liaison, a designated dementia/delirium behavioural management unit, geriatricians in Emergency, outreach/inreach to residential care and shared care with some medical specialities. Increasing staff numbers and government policy change were the most frequently identified ways to address these gaps. CONCLUSIONS:Geriatric medicine service provision is variable across Australia and New Zealand, with key gaps identified. These findings will inform future directions in implementation of geriatric medicine models of care and discussions with various levels of government about the ongoing development of geriatric medicine services.

End of life care is an essential part of the role of Australian aged care homes (ACHs). However, there is no national framework to support aged care staff in systematically identifying residents with palliative care needs or to routinely assess, respond to, and measure end of life needs. The Palliative Care Outcomes Collaboration (PCOC) is a national outcomes and benchmarking programme which aims to systematically improve palliative care for people who are approaching the end of life, and for their families and carers. The PCOC Wicking Model for Residential Aged Care was developed and piloted in four Australian ACHs. This paper reports on the qualitative findings from semi-structured interviews and focus groups conducted with ACH staff (N = 37) to examine feasibility. Thematic analysis identified three overarching themes about the pilot: (i) processes to successfully prepare and support ACHs; (ii) appropriateness of PCOC tools for the ACH setting; and (iii) realised and potential benefits of the model for ACHs. The lessons presented valuable insights to refine the PCOC Wicking Model and enrich understanding of the potential challenges and solutions for implementing similar programs within ACHs in future. The results suggest that key to successfully preparing ACHs for implementation of the PCOC Wicking Model is an authentic and well-paced collaborative approach with ACHs to ensure the resources, structures and systems are in place and appropriate for the setting. The PCOC Wicking Model for Residential Aged Care is a promising prototype to support ACHs in improving palliative and end of life care outcomes for residents and their carers.

Objective: To describe changes in palliative care characteristics, utilisation and outcomes in Victoria during a period of enhanced public health management and a prolonged lockdown due to coronavirus disease 2019.Methods: A national retrospective cohort study with palliative care service setting comparisons in Victoria and other mainland states was conducted.Results: Analysis of 48 non-Victorian services (n=53,428 patients) and 20 Victorian services (n=31,125 patients) showed that for community services, patient volume, average length of stay, functional dependency and the proportion of admissions in a deteriorating phase increased during the lockdown in Victoria, yet little changed in comparator states. Regarding inpatient services, the management of family/carer problems remained constant in comparator states, yet substantial fluctuations in outcomes in Victoria were observed. Conclusions: As health systems adapt to changing circumstances during the pandemic, the ability to upscale community services is critical. Addressing the implications of shifting inpatient care to the community needs attention.Implications for public health: Our study highlights the need to ensure community care providers are adequately considered within public health management responses. 'Joined up' policy and implementation across care settings are essential, especially as major barriers to infection control and increased utilisation may be evident in the community during the coronavirus disease 2019 pandemic.

Objective The aim of this study was to assess the unmet need for palliative and other end-of-life care, as well as the sociodemographic and diagnostic factors associated with suboptimal access, among residents in an Australian region. Methods A cross-sectional descriptive and analytical study was performed using non-identifiable linked data from four administrative and two clinical datasets. The study population comprised 3175 patients aged ≥15 years who died in hospital in 2016 and 2017. The main outcome measures were the proportion of decedents potentially benefitting from end-of-life care and receiving end-of-life care. Results An estimated 74.8% of decedents needed palliative or other end-of-life care in the year before death. Approximately 13.3% did not receive any end-of-life care despite its potential benefit. The highest proportions with 'unmet need' were decedents with chronic obstructive pulmonary disease (31.0%) and heart failure (26.3%). Adjusting for sociodemographic and diagnostic factors, access was lowest among those aged <65 years (adjusted odds ratio (aOR) 0.44; 95% confidence interval (CI) 0.31-0.64) and those with heart failure (aOR 0.58; 95% CI 0.47-0.72). Conclusions Estimates of need and access provide a sound basis for planning local palliative and end-of-life care services. These methods can be used on an ongoing basis to monitor service delivery. What is known about this topic? There is a small but expanding literature on estimating the need for palliative care at a population level. There is a lack of data regarding access to palliative and other end-of-life care across multiple settings (e.g. home, specialist palliative care unit, hospital) and patient groups (e.g. defined by sociodemographics and diagnostics). What does this paper add? The study builds on previously used methods for estimating the need for palliative care, with some refinements, including the addition of 'other clinical indications' and the use of weights to derive more realistic estimates. The estimates of need are consistent with recent estimates from Australia and overseas, whereas the estimates of access are similar to a recent Australian estimate, but higher than estimates from overseas. The gaps in access are highest among those with the major types of chronic organ failure, particularly heart and respiratory. What are the implications for practitioners? The study demonstrates how routinely collected data at a regional level can be used to estimate need and access to palliative and end-of-life care, in the hospital and in the community. These methods of estimating need and unmet need can be used to inform the planning and development of services, as well as to monitor progress with implementation of changes in service provision.

In 2018, an innovative, State government‐funded cannabis medicines drug information service was established for health professionals in New South Wales (NSW). The NSW Cannabis Medicines Advisory Service (CMAS) provides expert clinical guidance and support to medical practitioners considering prescribing a cannabis medicine to their patient(s).

Choice and preference are fundamental to person-centered care and supporting personal choice at the end of life should be a priority. This study analyzed the relationship between a person's preferred place of death and other individual variables that might influence their actual place of death by examining the activity of 2 specialist community palliative care services in Australia. This was a cross-sectional study of 2353 people who died between 01 August 2016-31 August 2018; 81% died in their preferred place. Sex, type of life-limiting illness, and length of time in care were the only variables significantly related to dying in one's preferred place. Women were more likely to die in their preferred place than men (84% v 78%) and people with a non-cancer diagnosis were 7% more likely to die in their preferred place than those with cancer, particularly when that place was their private residence (74% v 60%) or Residential Aged Care Facility (98% v 89%). Someone in care for 0-7 days had 4.2 times greater odds of dying in their preferred place (OR = 4.18, 2.20-7.94), and after 21 days in care, people had 4.6 greater odds of having a preference to die in a hospital (OR = 4.63, 3.58-5.99). Both community palliative care services have capacity and a model of care that is responsive to choice. These findings align with known referral patterns and disease trajectories and demonstrate that it is possible to support the majority of people in the care of community palliative care services to die in their preferred place.

Objectives To describe morbidity and multimorbidity patterns among adults readmitted to an Australian regional health service, in terms of occurrence of the same and different morbidities at index admission and readmission. Methods This cohort study used hospital admissions data for patients admitted between 1 July 2014 and 30 June 2016 to estimate proportions of unplanned readmissions (‘early’ within 30 days and ‘late’ within 1–6 months) with the same and different morbidities as the index admission. Readmission rates were estimated by selected sociodemographic, admission and diagnostic characteristics. Results The majority of early and late readmissions were in different diagnostic groups and for different primary morbidities to the index admission. Only 38.8% of readmissions were in the same major diagnostic group as the index admission and 18.4% in the same Adjacent Diagnosis-Related Group. Twenty one percent of admitted patients were readmitted within six months, with this increasing to 35.3% among multimorbid patients. Conclusion With increasing prevalence of multimorbidity, particularly among those at increased risk of readmission, it is essential to step away from a single disease focus in the design of both hospital avoidance and chronic disease management programmes. Holistic interventions and strategies that address multiple chronic conditions are required.

Background Very few measures are used successfully as part of routine care within national palliative care outcome programs. Only a handful of studies examine these measures. The aim of this study is to evaluate the validity of a measure used in a national outcomes program: the Palliative Care Outcomes Collaboration Symptom Assessment Scale (PCOC SAS). Methods A retrospective multi-site cohort study with secondary analysis of routinely collected patient-level data to assess PCOC SAS’s internal consistency, construct validity, reliability, interpretability, acceptability and sensitivity. The analyses used two sets, with data collected by inpatient and community palliative care services registered with the Australian national PCOC. Results Dataset one included 1,117 patients receiving palliative care from 21 services. Dataset two included 5,294 patients receiving palliative care from 119 PCOC services. PCOC SAS demonstrated the ability to detect and discriminate distress by palliative care phase, functional status and diagnosis. Excellent and good convergent and discriminant validity were demonstrated. Fair through to substantial inter-rater and intra-rater reliability levels were evidenced. Sufficient interpretability resulted along with necessary levels of acceptability and sensitivity. Conclusion PCOC SAS is a valid and reliable patient-reported outcome measure suitable for use in routine clinical care with patients requiring palliative and or end-of-life care, including in national outcomes programs.

Background Malignant and non-malignant respiratory diseases account for >4.6 million deaths annually worldwide. Despite similar symptom burdens, serious inequities in access to palliative care persists for people with non-malignant respiratory diseases. Aim To compare functional decline and symptom distress in advanced malignant and non-malignant lung diseases using consecutive, routinely collected, point-of-care national data. Setting/participants The Australian national Palliative Care Outcomes Collaboration collects functional status (Australia-modified Karnofsky Performance Status (AKPS)) and symptom distress (patient-reported 0–10 numerical rating scale) in inpatient and community settings. Five years of data used Joinpoint and weighted scatterplot smoothing. Results In lung cancers (89 904 observations; 18 586 patients) and non-malignant end-stage respiratory diseases (14 827 observations; 4279 patients), age at death was significantly lower in people with lung cancer (73 years; IQR 65–81) than non-malignant end-stage respiratory diseases (81 years; IQR 73–87 years; p<0.001). Four months before death, median AKPS was 40 in lung cancers and 30 in non-malignant end-stage respiratory diseases (p<0.001). Functional decline was similar in the two groups and accelerated in the last month of life. People with non-malignant diseases accessed palliative care later. Pain-related distress was greater with cancer and breathing-related distress with non-malignant disease. Breathing-related distress increased towards death in malignant, but decreased in non-malignant disease. Distress from fatigue and poor sleep were similar for both. Conclusions In this large dataset unlike previous datasets, the pattern of functional decline was similar as was overall symptom burden. Timely access to palliative care should be based on needs not diagnoses.

The World Health Organization describes suicide as a global tragedy, with one person dying every 40 seconds, a rate of 10.5 per 100,000 people. In Australia, approximately nine people die by suicide each day, a rate of 12.9 per 100,000. Suicide is the leading cause of death for people 15– 49 years and the 13th leading cause of death overall. Although the number of non-fatal suicide attempts is currently unknown, the 2007 National Survey of Mental Health and Wellbeing found that 1 in 33 Australians aged 16–85 had attempted suicide. Despite awareness raising, prevention strategies, treatment and significant government investment, suicidal behaviour remains a leading cause of death and disability. The biggest risk factor for suicide is a prior suicide attempt which is hypothesised to fundamentally change neural networks and thus increase the likelihood of re-attempts (Malhi et al., 2020). While suicidal ideation is a prerequisite, people with ideation only attempt suicide if they have the dispositional, acquired and practical capacity. Non-suicidal self-harm (NSSH) is a major risk factor for suicide and correlates with other risk factors such as depression. NSSH also enables habituation to self-inflicted violence and pain, which in turn increases the acquired capacity to attempt suicide. Hence, surveillance of NSSH, ideation and attempts as precursors to suicide death is crucial for informing prevention strategies. Emergency departments (EDs) are crucial settings for surveillance as they are a primary point of contact for people at high risk of suicide or self-harm. A UK study found that 43% of people who died by suicide had at least one self-harm/psychiatric-related ED visit in the 12 months prior to death (Da Cruz et al., 2011). A US study found that people with suicide-related ED presentations had a significantly higher suicide rate than the general population (Crandall et al., 2006). To the best of our knowledge, the rate of presentation to EDs prior to suicide death in Australia is unknown. Suicide deaths are certified by the Coroner and recorded in death registries. Cause of death data from jurisdictional registries and the National Coronial Information System are coded according to the International Statistical Classification of Diseases and Related Health Problems (ICD) ‘intentional selfharm’ codes. This process can take 18 months, impacting timely reporting and delaying effective suicide prevention research. Coronial suicide registers capable of providing timely data on suspected suicide deaths have been established in four jurisdictions (Victoria, Queensland, Western Australia and Tasmania) and most recently in NSW in November 2020. The Australian Institute of Health and Welfare currently has a Suicide & self-harm monitoring project to improve quality, accessibility and timeliness of data for suicide deaths, hospitalisations due to intentional self-harm and related ambulance attendances (through the National Ambulance Surveillance System). This project is an important step towards consistent and timely national reporting of suicide behaviours. However, the ED setting is currently not included. Only 25% of all ED presentations arrive by ambulance potentially leading to a large gap in monitoring. The main challenges associated with surveillance and reporting using ED data include identifying presentations using administrative data and the challenging environment for accurate diagnosis. EDs are stressed work places and suicidal behaviours are complex and multifactorial. Clinicians may not have adequate time to undertake comprehensive assessments prior to discharge or there may be sensitivities or time constraints around documentation. Common methods for identifying suicidal/self-harm-related ED presentations use diagnostic codes and/or presenting complaints, but this results in under-reporting with estimates of as little as 19% of attempts identified (Sveticic et al., 2019). Although clinical Commentaries 1009600 ANP ANZJP CorrespondenceANZJP Correspondence

Background There is wide inequity in specialist palliative care provision across settings. The absence of any standard way to group by case complexity is a barrier to addressing these inequities. Aim We therefore aimed to develop a casemix classification for UK specialist palliative care across settings, by identifying/grouping patient-level attributes at the start of an episode of care that predict costs of care provision within that episode. Design Cohort study with prospective collection of patient demographic and clinical variables, potential complexity and casemix criteria, and patient-level resource use. Results 2,469 participants were recruited (mean age 71.6, 51% male, 75% with cancer), receiving 2,968 episodes of care, from 14 specialist palliative organisations across England. Episodes of care lasted: median (range) 8 days (1–402) in hospital advisory palliative care, 12 days (1–140) in inpatient palliative units, 30 days (1–313) in community palliative care. Median cost per day (interquartile range) were: £56 (£31–100) in hospital advisory, £365 (£176-£698) within inpatient, and £21 (£6-£49) in community care. Seven hospital advisory, six inpatient, six community casemix classes for specialist palliative care, based on seven casemix variables (pain, other physical symptoms, psychological symptoms, functional status, palliative Phase of Illness, living alone, and family distress) predict per-diem costs. Conclusion The casemix classes show cost weight variations by up to 60% (in hospital advisory palliative care), up to 4.5-fold (in inpatient hospices), and approaching 3-fold (in community palliative care). The proposed casemix classification helps to understand these variations systematically and at scale; for practice, policy (including funding), and research, to help address inequities and provide fair, equitable and transparent palliative care to all who need it. Acknowledgements Funded by National Institute for Health Research (C-CHANGE project: RP-PG-1210-12015). The views and opinions expressed by authors do not necessarily reflect those of the NHS, NIHR, MRC, CCF, NETSCC, or DHSC

ObjectiveTo examine hospital use characteristics of a privately insured cohort including hospital setting (public or private), declared insurance status and category of services received during hospital admission. MethodsThe study population consisted of 14276 people with membership of a private health insurance (PHI) fund in New South Wales, Australia. The final study cohort included 9004 people with at least one hospital admission over a 6-year period from 1 January 2010 to 31 December 2015. PHI claims data were linked with public hospital records from a Local Health District. Hospital utilisation measures include number of admissions and length of stay. Measures were categorised by hospital user group (public only, private only or both), declared insurance status (PHI or public patient), type of service and admission case weight. ResultsThe study finds that despite having PHI, 40% of people receive services exclusively in a public hospital in the 6-year study period. Additionally, only 62% of overnight hospital admissions for the study population are claimed on PHI. There are differences in hospital utilisation for medical- and surgical-related admissions. Seventy percent of people with a medical admission receive services only in public hospitals, but a similar proportion of people (66%) receive services only in private hospitals for surgical admissions. ConclusionsPeople with PHI make considerable use of public hospitals both as a public and a private patient. For this privately insured cohort, public hospitals are more frequently used for medical-related admissions and also for more resource-intensive admissions compared with private hospitals. What is known about the topic?There are multiple government incentives to encourage people to take out PHI policies in Australia. Although PHI is closely associated with private hospital utilisation, people with PHI can still use public hospitals as either a public patient, in which the service is fully government-funded, or as a private patient in which PHI contributes funding towards the cost of hospital admissions. What does this paper add?This study provides the first analysis of hospital utilisation of a privately insured cohort in Australia that reports on the interaction between public and private hospital use and declared insurance status, including utilisation differences based on service type. What are the implications for practitioners?Although there are financial incentives offered by the Australian Government to encourage uptake of PHI, the study findings show that people with PHI still make considerable use of public hospitals both as a public and private patient. Future policy reforms relating to the regulation of PHI in Australia should consider the nuanced differences in the way people with PHI use public and private hospitals to optimise resource allocation.

Abstract Background Access to primary care has an impact on health outcomes and is a significant public health issue. Limited access to primary care has seen non-urgent presentations to hospital emergency departments continue to rise globally. A lack of a universal workable definition of what a primary care presentation is has impeded national and international estimations of the true burden. Our aim was to develop a standardised code frame to identify potential primary care patients in the emergency department to allow accurate data estimations to be made, and help inform future interventions. Methods An audit of medical records was conducted in two major hospitals in Sydney, Australia. A code frame was developed, tested and applied retrospectively to five years of data. Results Of 601,168 presentations to the emergency department, 171,906 (29%) were deemed to be potential primary care presentations. The code frame had a sensitivity of 99.9% and a specificity of 49.0%. Conclusions This standardised code frame enables accurate retrospective local and national data estimations of the impact of primary care presentations in the emergency department, which was previously not available. The code frame could be used prospectively to evaluate interventions such as diverting patients to primary care settings, and to identify populations for specifically targeted interventions. The conservative nature of the code frame ensures that only those that can safely receive care in a primary care setting are identified as potential primary care. Key messages This robust tool will enable more accurate data estimations of primary care appropriate presentations in the emergency department, which can assist planning and policy efforts. It can be easily adapted to incorporate triage codes in international settings and provides a useful tool for comparing international trends.