Hospital and out-of-hospital services provided by public geriatric medicine departments in Australia and New Zealand.

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.

The experience of Australian aged care workers during a trial implementation of a palliative care outcomes programme.

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.

Implementing patient-centred outcome measures in palliative care clinical practice for adults (IMPCOM): Protocol for an update systematic review of facilitators and barriers.

Background: Despite the development of patient-centred or patient-reported outcome measures (PCOMs or PROMs) in palliative and end-of-life care over recent years, their routine use in practice faces continuing challenges. Objective: To update a highly cited literature review, identify and synthesise new evidence on facilitators, barriers, lessons learned, PCOMs used, models of implementation, implementation outcomes, costs, and consequences of implementing PCOMs in palliative care clinical practice. Methods: We will search MEDLINE, PsycINFO, CINAHL, Embase, Emcare, SCI-Expanded, SSCI, ESCI, and BNI. The database search will be supplemented by a list of studies from the expert advisory committee, hand-searching of reference lists for included articles, and citations of the original review. We will include primary studies using a PCOM during clinical care of adult patients with advanced disease in palliative care settings and extract data on reported models of implementation, PCOMs, facilitators, barriers, lessons learned, costs, and implementation outcomes. Gough's Weight of Evidence Framework will be used to assess the robustness and relevance of the studies. We will narratively synthesise and tabulate the findings. This review will follow PRISMA, PRISMA-Abstract, PRISMA-P, and PRISMA-Search as the reporting guidelines. Source of funding: Marie Curie. The funder is not involved in designing or conducting this study. Protocol registration: CRD42023398653 (13/02/2023).

Who needs, receives and misses out on palliative and end-of-life care? A population-based study to identify needs and gaps in a regional health service.

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.

Patterns of morbidity and multimorbidity associated with early and late readmissions in an Australian regional health service.

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.

Preferred Place of Death-A Study of 2 Specialist Community Palliative Care Services in Australia.

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.

NSW Cannabis Medicines Advisory Service preliminary survey results: enquirer perceptions and patient outcomes.

BACKGROUND: 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). AIMS: This research examines quality assurance and patient outcomes related to enquirers' experience with NSW CMAS. METHODS: Data collection involved an online, anonymous survey with two components. Following a health professional enquiry, quality assurance data were collected about the enquirers' experience with NSW CMAS. The second survey focussed on patient outcomes and provides real-world observational data about cannabis medicines safety and effectiveness across a wide range of indications. RESULTS: Data collection occurred between January 2020 and June 2021. Preliminary analyses were based on 68 quality assurance and 50 patient outcomes survey responses. General practitioners represented the highest proportion of survey responses (n = 33; 49%). The most common enquiry involved 'patient-specific advice' (n = 50; 74%). Patient-specific information provided by the service was mainly used for prescribing decision support (n = 45; 90%). CONCLUSIONS: Preliminary findings highlight the impact of an innovative cannabis medicines drug information service in supporting health professional clinical practice in an area of rapid knowledge translation. Quality assurance data indicate that the service is perceived well by the majority of enquirers. Patient outcomes data across a wide range of indications suggest some effectiveness and a reasonable safety profile for prescribed cannabis medicines for most patients.

Patient-reported outcome measurement of symptom distress is feasible in most clinical scenarios in palliative care: an observational study involving routinely collected data.

BACKGROUND: Implementation of routinely collected patient-reported outcome measures (PROMs) ensures patients' priorities are at the forefront of care planning and helps to standardize approaches to quality improvement. In palliative care, barriers to PROMs are widely known but what are not understood are the clinical and care settings in which patients are more likely to report and when proxy reporting is needed. OBJECTIVE: To examine the incidence of patient-reported symptom distress compared to the incidence of proxy reporting in palliative care and influencing factors. METHODS: A national observational study using routinely collected PROMs data with influencing factors investigated by logistic regression modelling. Participants were patients with an advanced life-limiting illness receiving palliative care in an inpatient or a community healthcare setting in Australia. RESULTS: Sixteen thousand one hundred and fifty-eight reports of symptom distress were collected from 1117 patients seen by 21 palliative care services. The majority of respondents were diagnosed with cancer (76%), were older (≥65 years, 72%) and had nominated English as their first language (88%). The majority of symptom distress reports were completed by patients (61%). The odds of a patient providing a self-report where grater when they were receiving community versus inpatient palliative care (odds ratio (OR): 3.0; 95% confidence interval (CI): 2.25-4.01), for patients diagnosed with malignant versus non-malignant disease (OR 1.7; 95% CI: 1.26-2.31), and for those who required an urgent change in their care plan versus those whose symptoms and problems were adequately managed (OR: 1.38; 95% CI: 1.04-1.83). CONCLUSION: Three factors are associated with an increased likelihood of patient versus proxy reporting in palliative care: healthcare setting, diagnosis, and the acuity and urgency of the patient's clinical needs. PROMs are feasible in most clinical scenarios in palliative care, including when an urgent clinical response is required.

The PCOC Symptom Assessment Scale (SAS): A valid measure for daily use at point of care and in palliative care programs.

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.

Comparing functional decline and distress from symptoms in people with thoracic life-limiting illnesses: lung cancers and non-malignant end-stage respiratory diseases.

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.

Private versus public? Examining hospital use by a privately insured population in New South Wales, Australia, using data linkage.

Objective To 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. Methods The 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. Results The 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. Conclusions People 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.

The Australian National Aged Care Classification (AN-ACC): a new casemix classification for residential aged care.

OBJECTIVE: To develop a casemix classification to underpin a new funding model for residential aged care in Australia. DESIGN, SETTING: Cross-sectional study of resident characteristics in thirty non-government residential aged care facilities in Melbourne, the Hunter region of New South Wales, and northern Queensland, March 2018 - June 2018. PARTICIPANTS: 1877 aged care residents and 1600 residential aged care staff. MAIN OUTCOME MEASURES: The Australian National Aged Care Classification (AN-ACC), a casemix classification for residential aged care based on the attributes of aged care residents that best predict their need for care: frailty, mobility, motor function, cognition, behaviour, and technical nursing needs. RESULTS: The AN-ACC comprises 13 aged care resident classes reflecting differences in resource use. Apart from the class that included palliative care patients, the primary branches were defined by the capacity for mobility; further classification is based on physical capacity, cognitive function, mental health problems, and behaviour. The statistical performance of the AN-ACC was good, as measured by the reduction in variation statistic (RIV; 0.52) and class-specific coefficients of variation. The statistical performance and clinical acceptability of AN-ACC compare favourably with overseas casemix models, and it is better than the current Australian aged care funding model, the Aged Care Funding Instrument (64 classes; RIV, 0.20). CONCLUSIONS: The care burden associated with frailty, mobility, function, cognition, behaviour and technical nursing needs drives residential aged care resource use. The AN-ACC is sufficiently robust for estimating the funding and staffing requirements of residential aged care facilities in Australia.

Trends in unplanned readmissions over 15 years: a regional Australian perspective.

Objective The aim of this study was to assess 15-year trends in unplanned readmissions in an Australian regional health service. Methods Drawing on data held in the Illawarra Health Information Platform (IHIP), this longitudinal retrospective study of adults admitted to hospital between 2001-02 and 2015-16 assessed rates of unplanned all-cause readmissions within 30 days ('early') and 1-6 months ('late') following discharge. Rates were compared over time and between patient groups. Results Age-adjusted early readmission rates declined over the 15 years by an average of 1.3% per annum, whereas late readmission rates increased by an average of 0.6% per annum. Together, there was an overall decline in readmission rates. The entire decline in early readmission rates and a reversal of the increasing trend in late readmission rates occurred since 2010-11. Similar trends occurred across age groups, but were most pronounced among those aged ≥75 years. Conclusions The decline in readmissions since 2010-11 suggests that the region has achieved improvements in discharge planning and in continuity between hospitals and community-based care. These improvements have occurred across broad patient groups. The longitudinal and linked data held in the IHIP provides a unique opportunity to examine patterns of service utilisation at a regional level. What is known about the topic? Published reports of longitudinal trends in readmissions are typically limited by short study periods and narrow criteria used to define study populations and readmissions. Australian longitudinal data suggest rates of early readmission have remained relatively unchanged in recent years, despite the focus on readmission rates as a metric to assess the quality and continuity of care. What does this paper add? This unique longitudinal study reports on long-term readmission trends over 15 years to hospitals within a single geographic area, with trends reported for both early (30-day) and late (1- to 6-month) readmissions by age group and major diagnostic categories. The findings reflect more complex patterns than are typically reported in cross-sectional and more limited longitudinal studies. What are the implications for practitioners? The results suggest improvements at a regional level that may be associated with care during the initial hospitalisation and discharge (reflected particularly in early readmissions) and in the community (reflected particularly in late readmissions). Future investigations will explore specific patient groups and the effects of specific initiatives, services and models of care to better predict those at risk of readmission and to inform translation locally and further afield. The relationship between readmissions and the use of ambulatory services (primary care, emergency department and out-patient) also warrants further investigation.

Palliative care is effective: but hospital symptom outcomes superior.

OBJECTIVES: To explore differences in severe symptom outcomes for palliative care patients receiving hospital care compared with those receiving care at home. METHODS: Change in symptom distress from the start of an episode of palliative care to just prior to death was measured for 25 679 patients who died under the care of a hospital or home-based palliative care team between January 2015 and December 2016. Logistic regression models controlled for differences between hospital and home and enabled a comparison of the number of severe symptoms just prior to death. RESULTS: All symptoms improved and over 85% of all patients had no severe symptoms prior to death. Pain control illustrates this with 7.4% of patients reporting severe pain distress at episode start and 2.5% just prior to death. When comparing all symptom outcomes by place of death, hospital patients are 3.7 times more likely than home patients to have no severe symptoms. CONCLUSION : Symptom outcomes are better for hospital patients. Patients at home have less improvement overall and some symptoms get worse. Reasons for the difference in outcomes by hospital and home are multifactorial and must be considered in relation to the patient's right to choose their place of care.

Is Inpatient Hospice Care Clinically Effective? Using Phase of Illness to Evaluate Care Outcomes for Patients Admitted to a Specialist Palliative Care Unit in Ireland.

Background: In health care, clinical effectiveness involves evaluating the degree to which clinical interventions achieve beneficial patient and caregiver outcomes. Objective: To evaluate the clinical effectiveness of care in a specialist palliative care unit (SPCU) in Ireland, including an analysis of the temporal relationship among admission, Phase of Illness and patient and family distress. Design/Measurements: A consecutive case series with prospectively collected admission data (n = 400). Using a casemix tool (Phase of Illness), pain, other symptoms, psychological and family distress, and performance status were documented on admission and then daily by medical staff. Results: Three hundred forty-two (85%) patients had complete data recorded on day 1. After admission, there were linear correlations between days since admission and progressive improvements in pain (Cramer's V = 0.131, p < 0.001), other symptoms (V = 0.206, p < 0.001), psychological distress (V = 0.101, p < 0.001), and family distress (V = 0.124, p < 0.001). Forty-three percent were in an unstable phase on admission. Nearly two thirds (60.7%) of these unstable patients converted to a stable phase within 48 hours of admission. Over the first 72 hours, 70.7% of unstable patients converted to a stable phase. There was also a significant correlation between phase stabilization and pain and symptom control (p = 0.007). Stable phase over the first 4 days and first 14 days was associated with significantly higher performance status. Conclusion: This study demonstrates the significant clinical effectiveness of SPCU admission across the different aspects of patient and family care.

Which outcome domains are important in palliative care and when? An international expert consensus workshop, using the nominal group technique.

BACKGROUND: When capturing patient-level outcomes in palliative care, it is essential to identify which outcome domains are most important and focus efforts to capture these, in order to improve quality of care and minimise collection burden. AIM: To determine which domains of palliative care are most important for measurement of outcomes, and the optimal time period over which these should be measured. DESIGN: An international expert consensus workshop using nominal group technique. Data were analysed descriptively, and weighted according to ranking (1-5, lowest to highest priority) of domains. Participants' rationales for their choices were analysed thematically. SETTING/PARTICIPANTS: In all, 33 clinicians and researchers working globally in palliative care outcome measurement participated. Two groups (n = 16; n = 17) answered one question each (either on domains or optimal timing). This workshop was conducted at the 9th World Research Congress of the European Association for Palliative Care in 2016. RESULTS: Participants' years of experience in palliative care and in outcome measurement ranged from 10.9 to 14.7 years and 5.8 to 6.4 years, respectively. The mean scores (weighted by rank) for the top-ranked domains were 'overall wellbeing/quality of life' (2.75), 'pain' (2.06), and 'information needs/preferences' (2.06), respectively. The palliative measure 'Phase of Illness' was recommended as the preferred measure of time period over which the domains were measured. CONCLUSION: The domains of 'overall wellbeing/quality of life', 'pain', and 'information needs/preferences' are recommended for regular measurement, assessed using 'Phase of Illness'. International adoption of these recommendations will help standardise approaches to improving the quality of palliative care.

Here one year, gone the next? Investigating persistence of frequent emergency department attendance: a retrospective study in Australia.

OBJECTIVES: Patients are presenting to emergency departments (EDs) with increasing complexity at rates beyond population growth and ageing. Intervention studies target patients with 12 months or less of frequent attendance. However, these interventions are not well targeted since most patients do not remain frequent attenders. This paper quantifies temporary and ongoing frequent attendance and contrasts risk factors for each group. DESIGN: Retrospective population-based study using 10 years of longitudinal data. SETTING: An Australian geographic region that includes metropolitan and rural EDs. PARTICIPANTS: 332 100 residents visited any ED during the study period. MAIN OUTCOME MEASURE: Frequent attendance was defined as seven or more visits to any ED in the region within a 12-month period. Temporary frequent attendance was defined as meeting this threshold only once, and ongoing more than once. Risk factors for temporary and ongoing frequent attenders were identified using logistic regression models for adults and children. RESULTS: Of 8577 frequent attenders, 80.1% were temporary and 19.9% ongoing (12.9% repeat, 7.1% persistent). Among adults, ongoing were more likely than temporary frequent attenders to be young to middle aged (aged 25-64 years), and less likely to be from a high socioeconomic area or be admitted. Ongoing frequent attenders had higher rates of non-injury presentations, in particular substance-related (OR=2.5, 99% CI 1.1 to 5.6) and psychiatric illness (OR=2.9, 99% CI 1.8 to 4.6). In comparison, children who were ongoing were more likely than temporary frequent attenders to be aged 5-15 years, and were not more likely to be admitted (OR=2.7, 99% CI 0.7 to 10.9). CONCLUSIONS: Future intervention studies should distinguish between temporary and ongoing frequent attenders, develop specific interventions for each group and include rigorous evaluation.