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In 2022 the Australian Data Availability and Transparency Act (DATA) commenced, enabling accredited "data users" to access data from "accredited data service providers." However, the DATA Scheme lacks guidance on "trustworthiness" of the data to be utilised for reuse purposes. Objectives : To determine: (i) Do researchers using government health datasets trust the data? (ii) What factors influence their perceptions of data trustworthiness? and (iii) What are the implications for government and data custodians? Method: Authors of published studies (2008-2020) that utilised Victorian government health datasets were surveyed via a case study approach. Twenty-eight trust constructs (identified via literature review) were grouped into data factors, management properties and provider factors. Results: Fifty experienced health researchers responded. Most (88%) believed that Victorian government health data were trustworthy. When grouped , data factors and management properties were more important than data provider factors in building trust. The most important individual trust constructs were: "compliant with ethical regulation" (100%) and "monitoring privacy and confidentiality" (98%). Constructs of least importance were knowledge of "participant consent" (56%) and "major focus of the data provider was research" (50%). Conclusion: Overall, the researchers trusted government health data, but data factors and data management properties were more important than data provider factors in building trust. Implications : Government should ensure the DATA Scheme incorporates mechanisms to validate those data utilised by accredited data users and data providers have sufficient quality (intrinsic and extrinsic) to meet the requirements of "trustworthiness," and that evidentiary documentation is provided to support these "accredited data.", Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: Post-stroke mental health impairments are common, but under-assessed and under-treated. We aim to describe trends in the provision of mood management to patients with stroke, and describe factors associated with adoption of national mood management recommendations for stroke within Australian hospitals., Design: Secondary analysis of cross-sectional data from the biennial Stroke Foundation Audit Program., Setting: Participating acute (2011-2021) and rehabilitation hospitals (2012-2020) in Australia., Participants: In the acute audit, 22,937 stroke cases were included from 133 hospitals. In the rehabilitation audit, 15,891 stroke cases were included from 127 hospitals., Main Measures: Hospital- and patient-level mood management processes., Results: Among 133 acute hospitals (22,937 stroke episodes), improvements were made between 2011 and 2021 in utilization of mood screening (17% [2011], 33% [2021]; p  < 0.001) and access to psychologists during hospital stay (18% [2011], 45% [2021]; p  < 0.001). There was no change in access to a psychologist among those with a mood impairment ( p  = 0.34). Among 127 rehabilitation hospitals (15,891 stroke episodes) improvements were observed for mood screening (35% [2012], 61% [2020]; p  < 0.001), and access to a psychologist during hospital stay (38% [2012], 68% [2020]; p  < 0.001) and among those with a mood-impairment (30% [2012], 50% [2020]; p  < 0.001). Factors associated with receiving mood management processes included: younger age, not requiring an interpreter and longer length of stay., Conclusions: Adherence to mood management recommendations has improved over 10 years within Australian hospitals. Those aged over 65, requiring an interpreter, or with shorter hospital stays are at risk of missing out on appropriate mood management., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Administrative data are used extensively for research purposes, but there remains limited information on the quality of these data for identifying comorbidities related to stroke., Objective: To compare the prevalence of comorbidities of stroke identified using International Classification Diseases, Australian Modification (ICD-10-AM) or Anatomical Therapeutic Chemical codes, with those from (i) self-reported data and (ii) published studies., Method: The cohort included patients with stroke or transient ischaemic attack admitted to hospitals (2012-2016; Victoria and Queensland) in the Australian Stroke Clinical Registry (N = 26,111). Data were linked with hospital and pharmaceutical datasets to ascertain comorbidities using published algorithms. The sensitivity, specificity, and positive predictive value of these comorbidities were compared with survey responses from 623 patients (reference standard). An indirect comparison was also performed with clinical data from published stroke studies., Results: The sensitivity of hospital ICD-10-AM data was poor for most comorbidities, except for diabetes (93.0%). Specificity was excellent for all comorbidities (87-96%), except for hypertension (70.5%). Compared to published stroke studies (3 clinical trials and 1 incidence study), the prevalence of diabetes and atrial fibrillation in our cohort was similar using ICD-10-AM codes, but lower for dyslipidaemia and anxiety/depression. Whereas in the pharmaceutical dispensing data, the sensitivity was excellent for dyslipidaemia (94%) and modest for anxiety/depression (77%). In the pharmaceutical data, specificity was modest for hypertension (78%) and anxiety or depression (76%), but specificity was poor for dyslipidaemia (19%) and heart disease (46%)., Conclusion: Variation was observed in the reporting of comorbidities of stroke in administrative data, and consideration of multiple sources of data may be necessary for research. Further work is needed to improve coding and clinical documentation for reporting of comorbidities in administrative data., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Historically, national programs for collecting stroke data in Australia required the use of multiple online tools. Clinicians were required to enter overlapping variables for the same patient in the different databases. From 2013 to 2016, the Australian Stroke Data Tool (AuSDaT) was built as an integrated data management solution., Objective: In this article, we have described the development, implementation, and evaluation phases of establishing the AuSDaT., Method: In the development phase, a governance structure with representatives from different data collection programs was established. Harmonisation of data variables, drawn from six programs used in hospitals for monitoring stroke care, was facilitated through creating a National Stroke Data Dictionary. The implementation phase involved a staged deployment for two national programs over 12 months. The evaluation included an online survey of people who had used the AuSDaT between March 2018 and May 2018., Results: By July 2016, data entered for an individual patient was, for the first time, shared between national programs. Overall, 119/422 users (90% female, 61% aged 30-49 years, 57% nurses) completed the online evaluation survey. The two most positive features reported about the AuSDaT were (i) accessibility of the system (including simultaneous user access), and (ii) the ability to download reports to benchmark local data against peer hospitals or national performance. More than three quarters of respondents ( n = 92, 77%) reported overall satisfaction with the data collection tool., Conclusion: The AuSDaT reduces duplication and enables users from different national programs for stroke to enter standardised data into a single system., Implications: This example may assist others who seek to establish a harmonised data management solution for different disease areas where multiple programs of data collection exist. The importance of undertaking continuous evaluation of end-users to identify preferences and aspects of the tool that are not meeting current requirements were illustrated. We also highlighted the opportunities to increase interoperability, utility, and facilitate the exchange of accurate and meaningful data., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Health data sharing is important for monitoring diseases, policy and practice, and planning health services. If health data are used for secondary purposes, information needs to be provided to assist in reuse., Objectives: To review government health information asset websites to ascertain the extent of readily available, explanatory documentation for researcher sharing and reuse of these data., Method: Documentary analysis was undertaken on selected Victorian Government health information assets' websites in Australia. Data were obtained on nine information-categories: data custodian; data context; data dictionary; quality controls; data quality; limitations; access process; privacy/confidentiality/security and research requests/outputs. Information-categories were compared by dataset type (administrative or population-health) and by curating organisation (government or other agency). Descriptive statistics were used., Results: The majority of the 25 websites examined provided information on data custodian (96%) and data context (92%). Two-thirds reported access process (68%) and privacy/confidentiality/security information (64%). Compared with population-health websites, administrative dataset websites were more likely to provide access to a data dictionary (67% vs 50%) and information on quality controls (56% vs 44%), but less likely to provide information on the access process (56% vs 75%) and on research requests/outputs (0% vs 56%, p  = 0.024). Compared with government-curated websites, other agency websites were more likely to provide information on research requests/outputs (80% vs 7%, p  < 0.001)., Conclusion: There is inconsistent explanatory documentation available for researchers for reuse of Victorian Government health datasets. Importantly, there is insufficient information on data quality or dataset limitations. Research-curated dataset websites are significantly more transparent in displaying research requests or outputs., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Stroke is a high-cost condition. Detailed patient-level assessments of the costs of care received and outcomes achieved provide useful information for organisation and optimisation of the health system., Objectives: To describe the costs of hospital care for stroke and transient ischaemic attack (TIA) and investigate factors associated with costs., Methods: Retrospective cohort study using data from the Australian Stroke Clinical Registry (AuSCR) collected between 2009 and 2013 linked to hospital administrative data and clinical costing data in Queensland. Clinical costing data include standardised assignment of costs from hospitals that contribute to the National Hospital Costing programme. Patient-level costs for each hospital admission were described according to the demographic, clinical and treatment characteristics of patients. Multivariable median regression with clustering by hospital was used to determine factors associated with greater costs., Results: Among 22 hospitals, clinical costing data were available for 3909 of 5522 patient admissions in the AuSCR (71%). Compared to those without clinical costing data, patients with clinical costing data were more often aged <65 years (30% with cost data vs 24% without cost data, p < 0.001) and male (56% with cost data vs 49% without cost data, p < 0.001). Median cost of an acute episode was $7945 (interquartile range $4176 to $14970) and the median length of stay was 5 days (interquartile range 2 to 10 days). The most expensive cost buckets were related to medical ( n = 3897, median cost $1577), nursing ( n = 3908, median cost $2478) and critical care ( n = 434, median cost $3064). Factors associated with greater total costs were a diagnosis of intracerebral haemorrhage, greater socioeconomic position, in-hospital stroke and prior history of stroke., Conclusion: Medical and nursing costs were incurred by most patients admitted with stroke or TIA, and were relatively more expensive on average than other cost buckets such as imaging and allied health., Implications: Scaling this data linkage to national data collections may provide valuable insights into activity-based funding at public hospitals. Regular report of these costs should be encouraged to optimise economic evaluations.

Background: Governments have responsibility for ensuring the quality and fitness-for-purpose of personal health data provided to them. While these health information assets are used widely for research, this secondary usage has received minimal research attention., Objective: This study aimed to investigate the secondary uses, in research, of population health and administrative datasets (information assets) of the Department of Health (DoH), Victoria, Australia. The objectives were to (i) identify research based on these datasets published between 2008 and 2020; (ii) describe the data quality studies published between 2008 and 2020 for each dataset and (iii) evaluate "fitness-for-purpose" of the published research., Method: Using a modified scoping review, research publications from 2008 to 2020 based on information assets related to health service provision and containing person-level data were reviewed. Publications were summarised by data quality and purpose-categories based on a taxonomy of data use. Fitness-for-purpose was evaluated by comparing the publicly stated purpose(s) for which each information asset was collected, with the purpose(s) assigned to the published research., Results: Of the >1000 information assets, 28 were utilised in 756 publications: 54% were utilised for general research purposes, 14% for patient safety, 10% for quality of care and 39% included data quality-related publications. Almost 85% of publications used information assets that were fit-for-purpose., Conclusion: The DoH information assets were used widely for secondary purposes, with the majority identified as fit-for-purpose. We recommend that data custodians, including governments, provide information on data quality and transparency on data use of their health information assets.

Background: Accurate coded diagnostic data are important for epidemiological research of stroke., Objective: To develop, implement and evaluate an online education program for improving clinical coding of stroke., Method: The Australia and New Zealand Stroke Coding Working Group co-developed an education program comprising eight modules: rationale for coding of stroke; understanding stroke; management of stroke; national coding standards; coding trees; good clinical documentation; coding practices; and scenarios. Clinical coders and health information managers participated in the 90-minute education program. Pre- and post-education surveys were administered to assess knowledge of stroke and coding, and to obtain feedback. Descriptive analyses were used for quantitative data, inductive thematic analysis for open-text responses, with all results triangulated., Results: Of 615 participants, 404 (66%) completed both pre- and post-education assessments. Respondents had improved knowledge for 9/12 questions ( p  < 0.05), including knowledge of applicable coding standards, coding of intracerebral haemorrhage and the actions to take when coding stroke (all p  < 0.001). Majority of respondents agreed that information was pitched at an appropriate level; education materials were well organised; presenters had adequate knowledge; and that they would recommend the session to colleagues. In qualitative evaluations, the education program was beneficial for newly trained clinical coders, or as a knowledge refresher, and respondents valued clinical information from a stroke neurologist., Conclusion: Our education program was associated with increased knowledge for clinical coding of stroke. To continue to address the quality of coded stroke data through improved stroke documentation, the next stage will be to adapt the educational program for clinicians.

Rationale: To address unmet needs, electronic messages to support person-centered goal attainment and secondary prevention may avoid hospital presentations/readmissions after stroke, but evidence is limited., Hypothesis: Compared to control participants, there will be a 10% lower proportion of intervention participants who represent to hospital (emergency/admission) within 90 days of randomization., Methods and Design: Multicenter, double-blind, randomized controlled trial with intention-to-treat analysis. The intervention group receives 12 weeks of personalized, goal-centered, and administrative electronic messages, while the control group only receive administrative messages. The trial includes a process evaluation, assessment of treatment fidelity, and an economic evaluation. Participants: Confirmed stroke (modified Rankin Score: 0-4), aged ≥18 years with internet/mobile phone access, discharged directly home from hospital. Randomization: 1:1 computer-generated, stratified by age and baseline disability. Outcomes assessments: Collected at 90 days and 12 months following randomization., Outcomes: Primary outcomes include hospital emergency presentations/admissions within 90 days of randomization. Secondary outcomes include goal attainment, self-efficacy, mood, unmet needs, disability, quality-of-life, recurrent stroke/cardiovascular events/deaths at 90 days and 12 months, and death and cost-effectiveness at 12 months. Sample size: To test our primary hypothesis, we estimated a sample size of 890 participants (445 per group) with 80% power and two-tailed significance threshold of α = 0.05. Given uncertainty for the effect size of this novel intervention, the sample size will be adaptively re-estimated when outcomes for n = 668 are obtained, with maximum sample capped at 1100., Discussion: We will provide new evidence on the potential effectiveness, implementation, and cost-effectiveness of a tailored eHealth intervention for survivors of stroke.

Introduction: Chest infections following acute stroke contribute to increased morbidity and mortality. We aimed to investigate factors associated with chest infections that occur within 30 days of stroke, the impact on 90-day survival, and the role of stroke unit care., Methods: Patient-level data from the Australian Stroke Clinical Registry (2010-13; 23 Queensland hospitals), were linked with Queensland hospital admission, emergency department (ED), and national death registry data. Acute chest infections were determined using ICD-10 codes from the stroke admission, hospital readmissions, ED contacts, and cause of death data. Patients aged ≥18 years without a prior stroke or chronic respiratory condition were included. Multilevel (hospital and patient) multivariable regression and survival analysis were used to identify associated factors and the influence on 90-day survival., Results: Overall, 3149 patients (77% ischemic stroke, 47% female, median age 74 years) were included; 3.1% developed a chest infection within 30 days. Associated factors included: admission to intensive care (OR: 8.26, 95% CI: 4.07, 16.76); and urinary tract infection (OR: 3.09, 95% CI: 1.89, 5.04). Patients not treated in stroke units had a two-fold greater odds of chest infections (OR: 1.96, 95% CI: 1.25, 3.05). Chest infection afforded a greater hazard of death at 90 days (HR: 1.42, 95% CI 1.04, 1.93). This was reduced for those admitted to a stroke unit (HR: 1.31, 95% CI 0.99, 1.75)., Conclusion: Results emphasize the need for active prevention and highlight the importance of stroke unit care in mitigating risk and improving survival in those with stroke-related chest infections.

Background: The quality of stroke care may diminish on weekends., Aims: We aimed to compare the quality of care and outcomes for patients with stroke/transient ischemic attack discharged on weekdays compared with those discharged on weekends., Methods: Data from the Australian Stroke Clinical Registry from January 2010 to December 2015 ( n  = 45 hospitals) were analyzed. Differences in processes of care by the timing of discharge are described. Multilevel regression and survival analyses (up to 180 days postevent) were undertaken., Results: Among 30,649 registrants, 2621 (8.6%) were discharged on weekends (55% male; median age 74 years). Compared to those discharged on weekdays, patients discharged on weekends were more often patients with a transient ischemic attack (weekend 35% vs. 19%; p  < 0.001) but were less often treated in a stroke unit (69% vs. 81%; p  < 0.001), prescribed antihypertensive medication at discharge (65% vs. 71%; p  < 0.001) or received a care plan if discharged to the community (47% vs. 53%; p  < 0.001). After accounting for patient characteristics and clustering by hospital, patients discharged on weekends had a 1 day shorter length of stay (coefficient = -1.31, 95% confidence interval [CI] = -1.52, -1.10), were less often discharged to inpatient rehabilitation (aOR = 0.39, 95% CI = 0.34, 0.44) and had a greater hazard of death within 180 days (hazard ratio = 1.22, 95% CI = 1.04, 1.42) than those discharged on weekdays., Conclusions: Patients with stroke/transient ischemic attack discharged on weekends were more likely to receive suboptimal care and have higher long-term mortality. High quality of stroke care should be consistent irrespective of the timing of hospital discharge.

Background Stroke coordinators have been inconsistently used in various countries to support stroke care in hospital. Aim To investigate the association between stroke coordinators and the provision of evidence-based care and patient outcomes in hospitals with acute stroke units. Methods Observational study using cross-sectional data from the 2015 National Acute Services Audit Program (Australia): including a retrospective medical record audit (40 records from each hospital) and a self-reported survey of organizational resources for stroke. Multilevel random effects logistic regression for patient outcomes including complications, independence on discharge, and death. Median regression for length of stay comparisons. Results A total of 109 hospitals submitted 4060 cases; 59 (54%) had a stroke coordinator. Compared with patients from stroke unit hospitals with no stroke coordinator ( N = 33, 1333 cases), patients in stroke unit hospitals with a stroke coordinator ( N = 53, 2072 cases) were more likely to receive clinical practices including rehabilitation therapy within 48 hours of initial assessment (88 vs. 82%, p < 0.001), risk factor modification advice (62 vs. 55%, p = 0.003) and receive a discharge care plan (65 vs. 48%, p < 0.001). No differences in complications, independence on discharge, or deaths were evident. Patients from hospitals with a stroke coordinator were more likely to access inpatient rehabilitation (adjusted odds ratio 1.8, 95% confidence interval 1.1-2.8) and have a reduced length of acute stay if discharged (median 14 h, p = 0.03). Conclusion Presence of stroke coordinators was associated with reduced length of stay and improved delivery of evidence-based care in hospitals with a stroke unit.

Rationale The effectiveness of clinician-focused interventions to improve stroke care is uncertain. Aims To determine whether an organizational intervention can improve the quality of stroke care over usual care. Sample size estimates To detect an absolute 10% difference in overall performance (composite outcome), a minimum of 21 hospitals and 843 patients per group was determined. Methods and design Before and after controlled design in hospitals in Queensland, Australia. Intervention Externally facilitated program (StrokeLink) using outreach workshops incorporating clinical performance feedback, patient outcomes (survival, quality of life at 90-180 days), local barrier assessments to best practice care, action planning, and ongoing support. Descriptive and multivariable analyses adjusted for patient correlations by hospital (intention-to-treat method). Context Concurrent implementation of financial incentives to increase stroke unit access and use of the Australian Stroke Clinical Registry for performance monitoring. Study outcome(s) Primary outcome: net change in composite score (i.e. total number of process indicators achieved divided by the sum of eligible indicators for each cohort)., Secondary Outcomes: change in individual indicators, change in composite score comparing hospitals that did or did not develop action plans (per-protocol analysis), impact on 90-180-day health outcomes. Sensitivity analyses: hospital self-rated status, alternate cross-sectional audit data (Stroke Foundation). To account for temporal effects, comparison of Queensland hospital performance relative to other Australian hospitals will also be undertaken. Discussion Twenty-one hospitals were recruited; however, one was unable to participate within the study time frame. Workshops were held between 11 March 2014 and 7 November 2014. Data are ready for analysis.

Background: Research studies may have limited generalizability when survivors of stroke with physical, language, or cognitive impairments are excluded., Aims: To assess whether presence of cognitive, language, or global impairments affects participation in self-management programs., Methods: Stroke survivors were recruited in South Australia from seven hospitals or via advertisements into a randomized controlled trial (1:1:1 ratio) of a Stroke Self-Management Program, the Stanford chronic condition self-management program, or standard care. Impairment status was measured using: Cognistat (cognition), Frenchay Aphasia assessment (language), modified Rankin Score (mRS; where score 3-5 = global disability)., Primary Outcomes: participation (i.e. booked, accessed, and completed a program (defined as attending ≥ 50% of sessions)) and safety (i.e. adverse events). Outcomes were compared by impairment status., Results: Among 315 people screened 143/149 eligible were randomized (median age 71 years; 41% male; with impairments: 62% cognitive, 34% language, 64% global disability). Participation did not differ by cognitive or language impairment status (cognitive 75%, no cognitive 68%, p = 0.54; language 78%, no language 69%, p = 0.42). However, participation did vary by global impairment status (global disability 61%, no disability 96%, p < 0.001). Participants with cognitive impairment experienced more adverse events (severe n = 9 versus no cognitive impairment n = 1)., Conclusion: Survivors of stroke with cognitive, language, or global impairments are able to participate in self-management programs and should be included in these types of research studies or programs. Reduced participation by those with global disability and the possibility of more adverse events in people with cognitive impairments needs to be considered., (© 2016 World Stroke Organization.)

Background: Since 2007, the National Stroke Foundation in Australia has undertaken a community-based 'Know Your Numbers' program on blood pressure and other stroke risk factors., Aims: The aims of this study are to assess, in a sample of registrants participating in a three-month follow-up survey, retention of knowledge of risk factors and health conditions associated with hypertension, and whether those who were advised to see their doctor sought treatment or performed other health promotion actions., Methods: Various organizations (mainly pharmacies) were recruited to offer a 'free' standardized blood pressure check and educational resources for one-week/year between 2008 and 2010. Data collection was done thru registration log and detailed questionnaires for a sample of registrants at baseline and three-months. Descriptive statistics were used for comparison of baseline and three-month data., Results: There were 59 817 registrants over three-years. A total of 2044/2283 (90%) registrants completed a baseline survey (66% female, 50% aged >55 years); 43% had blood pressure ≥140/90 mmHg whereby 32% were unaware of their blood pressure status. Follow-up surveys were obtained from 510/805 (63%) baseline participants who provided consent. At three-months, improved knowledge was found for 9 of 11 risk factors for hypertension (e.g. lack of exercise baseline 73%; three-months 85%, P < 0·001). Knowledge for all the health conditions assessed that are associated with hypertension improved (e.g. stroke baseline 72%; three-months 87%, P < 0·001, heart attack baseline 69%; three-months 84%, P < 0·001). All respondents reported at least one health promotion action. Among 141/510 advised to visit their doctor, 114 (81%) did., Conclusion: Know Your Numbers is a successful health promotion program and encourages people to be reviewed by their doctor., (© 2013 The Authors. International Journal of Stroke © 2013 World Stroke Organization.)

Background and Aims: Providing evidence-based clinical care reduces disability and mortality rates following stroke. We examined if compliance with evidence-based processes of care were different for patients with intracerebral haemorrhage when compared with ischemic stroke and sought to describe differences in health outcomes during hospitalization and at time of discharge for these stroke subtypes., Methods: The New South Wales acute stroke dataset was used. This included data from 50-100 consecutively admitted patients' medical records collected from 32 New South Wales hospitals between 2003 and 2010. Multivariable logistic regression analyses were conducted taking into account patient factors and clustering of patients by hospital., Results: Ischemic stroke and intracerebral haemorrhage cases had similar demographic features (ischemic stroke n = 3467, mean age 74 years [standard deviation 13], 50% female; intracerebral haemorrhage n = 275, mean age 74 years [standard deviation 13], 48% female). Following multivariable analyses patients with intracerebral haemorrhage were less likely to be admitted to a stroke unit (adjusted odds ratio 0.65; 95% confidence interval 0.45-0.94) or receive an assessment from allied health (adjusted odds ratio 0.54; 95% confidence interval 0.33-0.89) than patients with ischemic stroke. Patients with intracerebral haemorrhage are also less likely to be independent (adjusted odds ratio 0.36; 95% confidence interval 0.3-0.5) at time of hospital discharge and had a greater odds of dying in hospital (adjusted odds ratio 2.1; 95% confidence interval 1.3-3.5). Patients that were admitted to a stroke unit had a greater odds of being independent (modified Rankin Score 0-2) at day 7-10 irrespective of stroke type or severity on admission (adjusted odds ratio 1.3; 95% confidence interval 1.01-1.66)., Conclusions: Following intracerebral haemorrhage, patients were less likely to be admitted to an acute stroke unit and receive allied health interventions. Admission to stroke units improved the likelihood of being independent at days 7-10 and, therefore, more should be done to encourage evidence-based care for intracerebral haemorrhage., (© 2013 The Authors. International Journal of Stroke © 2013 World Stroke Organization.)

Background: Indigenous Australians have greater stroke mortality rates than non-Indigenous people (97% Indigenous Australians are aged <65 years). Quality of care in hospital is an important factor for avoiding death and disability. No national review of acute stroke care for Indigenous Australians is available., Aims: We aimed to compare adherence with clinical processes and outcomes among Indigenous and non-Indigenous patients with acute stroke admitted to hospital., Methods: Hospitals participating in the National Stroke Audit of acute services in 2009 that provided data for at least one Indigenous patient were included (n = 33, 37%). Differences in death/dependency (modified Rankin Score 3-6) at discharge were determined using two-level multivariate analysis adjusting for hospital site and patient variables. A matched subgroup analysis in those aged 18 to 64 years was also undertaken., Results: Among 1162 eligible patients (60% male; 18-64 years n = 305), 7% were Indigenous (18-64 years: 18%). Indigenous patients had a greater prevalence of stroke risk factors, e.g. diabetes, more had intracerebral hemorrhages (25% vs. 16% non-Indigenous, P = 0.05), and were less likely be treated in a stroke unit and receive timely allied health assessments than non-Indigenous patients. Indigenous patients aged 18-64 years had a threefold odds of dying or being dependent at discharge (Adjusted odds ratio = 3.09, 95% confidence interval = 1.07-8.95)., Conclusions: Australian Indigenous patients with stroke received a reduced quality of care in hospitals and experienced worse outcomes than non-Indigenous patients. Indigenous patients require the provision of evidence-based care to increase their opportunities for optimal health outcomes following stroke. Further research to explain the differences is needed., (© 2012 The Authors. International Journal of Stroke © 2012 World Stroke Organization.)