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BackgroundMelbourne, Australia, successfully halted exponential transmission of COVID-19 via two strict lockdowns during 2020. The impact of such restrictions on healthcare-seeking behaviour is not comprehensively understood, but is of global importance. We explore the impact of the COVID-19 pandemic on acute, subacute and emergency department (ED) presentations/admissions within a tertiary, metropolitan health service in Melbourne, Australia, over two waves of community transmission (1 March to 20 September 2020).MethodsWe used 4 years of historical data and novel forecasting methods to predict counterfactual hospital activity for 2020, assuming absence of COVID-19. Observed activity was compared with forecasts overall, by age, triage category and for myocardial infarction and stroke. Data were analysed for all patients residing in the health service catchment area presenting between 4 January 2016 and 20 September 2020.ResultsED presentations (n=401 805), acute admissions (n=371 723) and subacute admissions (n=15 676) were analysed. Substantial departures from forecasted presentation levels were observed during both waves in the ED and acute settings, and during the second wave in subacute. Reductions were most marked among those aged >80 and ConclusionsOur analyses suggest citizens were willing and able to present with life-threatening conditions during Melbourne’s lockdowns, and that switching to telemedicine did not cause widespread spill-over from primary care into ED. During a pandemic, lockdowns may not inhibit appropriate hospital attendance where rates of infectious disease are low.

Introduction: Treatment with several therapeutic classes of medication is recommended for secondary prevention of stroke. We analyzed the associations between the number of classes of prevention medications supplied within 90 days after discharge for ischemic stroke (IS)/transient ischemic attack (TIA) and survival. Methods: This is a retrospective cohort study of adults with first-ever IS/TIA (2010–2014) from the Australian Stroke Clinical Registry individually linked with data from national pharmaceutical and Medicare claims. Exposure was the number of classes of recommended medications, i.e., blood pressure-lowering, antithrombotic, or lipid-lowering agents, supplied to patients within 90 days after discharge for IS/TIA. The longitudinal association between the number of classes of medications and survival was evaluated with Cox proportional hazards regression models using the landmark approach. A landmark date of 90 days after hospital discharge was used to separate exposure and outcome periods, and only patients who survived until this date were included. Results: Of 8,429 patients (43% female, median age 74 years, 80% IS), 607 (7%) died in the year following 90 days after discharge. Overall, 56% of patients were supplied all 3 classes of medications, 28% 2 classes of medications, 11% 1 class of medications, and 5% no class of medications. Compared to patients supplied all 3 medication classes, adjusted hazard ratios for all-cause mortality ranged from 1.43 (95% confidence interval [CI]: 1.18–1.72) in those supplied 2 medication classes to 2.04 (95% CI: 1.44–2.88) in those supplied with no medication class. Discussion/Conclusion: Treatment with all 3 classes of guideline-recommended medications within 90 days after discharge was associated with better survival. Ongoing efforts are required to ensure optimal pharmacological intervention for secondary prevention of stroke.

Oral and Poster Abstracts (in alphabetical order of first author) The following abstracts were accepted for presentation at the Stroke Society of Australasia Annual Scientific Meeting of 2021. We thank the authors for their contribution to the meeting and the Scientific Committee for their valuable input into the program. Erin Godecke and Nawaf Yassi Scientific Committee Co-Chairs

BACKGROUND: Hospital arrival via ambulance influences treatment of acute stroke. We aimed to determine the factors associated with use of ambulance and access to evidence-based care among patients with stroke. METHODS: Patients with first-ever strokes from the Australian Stroke Clinical Registry (2010-2013) were linked with administrative data (emergency, hospital admissions). Multilevel, multivariable regression models were used to determine patient, clinical and system factors associated with arrival by ambulance. RESULTS: Among the 6,262 patients with first-ever stroke, 4,737 (76%) arrived by ambulance (52% male; 80% ischaemic). Patients who were older, frailer, with comorbidities or were unable to walk on admission (stroke severity) were more likely to arrive by ambulance to hospital. Compared to those using other means of transport, those who used ambulances arrived to hospital sooner after stroke onset (minutes, 124 vs 397) and were more likely to receive reperfusion therapy (adjusted odds ratio, 1.57, 95% CI: 1.09, 2.27). CONCLUSION: Patients with stroke who use ambulances arrived faster and were more likely to receive reperfusion therapy compared to those using personal transport. Further public education about using ambulance services at all times, instead of personal transport when stroke is suspected is needed to optimise access to time critical care.

BACKGROUND Care navigation is commonly used to reduce preventable hospitalisation. The use of Electronic Health Record derived algorithms may enable better targeting this intervention for greater impact. OBJECTIVE To evaluate if community-based Targeted Care Navigation, supported by an Electronic Health Record derived readmission risk algorithm, is associated with reduced rehospitalisation. METHODS A propensity score matched cohort (5 comparison to 1 intervention cohort ratio) study was conducted in an 850-bed Victorian public metropolitan health service, Australia, from May to November 2017. Admitted acute care patients with a non-surgical condition, identified as at-risk of hospital readmission using an Electronic Health Record derived readmission risk algorithm provide by the state health department, were eligible. Targeted Care Navigation involved telephone follow-up support provided for 30-days post-discharge by a Registered Nurse. The hazard ratio for hospital readmission was calculated at 30-, 60-, and 90-days post-discharge using multivariable Cox Proportional Hazards regression. RESULTS Sixty-five recipients received care navigation and were matched to 262 people who did not receive care navigation. Excellent matching was achieved with standardised differences between groups being

Introduction: Stroke patients with aphasia are often excluded from person-centred goal setting as part of their clinical care, despite a recommendation for person-centred goal setting in national c...

Introduction Health care expenditure has rapidly increased in Australia. Effective management of occupational therapy services is required to meet clinical demand. Improving our understanding of factors which influence occupational therapy service delivery is a vital step to manage workload distribution and optimise service efficiency. This study aims to examine the influence of patient sociodemographic characteristics, diagnosis and functional independence on the utilisation of occupational therapy resources in hospital inpatients over 18 years old. Methods Prospective, cross-sectional, observational cohort study of 4549 inpatients from three hospital sites in Melbourne, Australia. Data extracted from organisational databases and included in this study were: patient demographics, diagnosis, functional level assessed using the SMAF (Functional Autonomy Measurement System) and occupational therapy time-use. Data were analysed using univariable and multivariable modelling. Results Occupational therapy time-use was significantly associated with all variables included in analysis ( p Conclusions Management of resources within busy hospitals require knowledge of factors associated with occupational therapist time-use. This study identified that time-use could in part be predicted by functional independence, diagnosis and sociodemographic characteristics. Occupational therapy managers can use this information to support decision making while acknowledging other patient and therapist level factors also influence time-use.

Background and Purpose: A comprehensive understanding of the long-term impact of stroke assists in health care planning. We aimed to determine changes in rates, causes, and associated factors for hospital presentations among long-term survivors of stroke. Methods: Person-level data from the AuSCR (Australian Stroke Clinical Registry) during 2009 to 2013 were linked with state-based health department emergency department and hospital admission data. The study cohort included adults with first-ever stroke who survived the first 6 months after discharge from hospital. Annualized rates of hospital presentations (nonadmitted emergency department or admission)/person/year were calculated for 1 to 12 months prior, and 7 to 12 months (inclusive) after hospitalization. Multilevel, negative binomial regression was used to identify associated factors after adjustment for prestroke hospital presentations and stratification for perceived impairment status. Perceived impairments to health were defined according to the subscales and visual analog health status scores on the 5-Dimension European Quality of Life Scale. Results: There were 7183 adults with acute stroke, 7-month survivors (median age 72 years; 56% male; 81% ischemic, and 42% with impairment at 90–180 days) from 39 hospitals included in this landmark analysis. Annualized presentations/person increased from 0.88 (95% CI, 0.86–0.91) to 1.25 (95% CI, 1.22–1.29) between the prestroke and poststroke periods, with greater rate increases in those with than without perceived impairment (55% versus 26%). Higher presentation rates were most strongly associated with older age (≥85 versus 65 years, incidence rate ratio, 1.52 [95% CI, 1.27–1.82]) and greater comorbidity score (incidence rate ratio, 1.06 [95% CI, 1.02–1.10]), whereas reduced rates were associated with greater social advantage (incidence rate ratio, 0.71 [95% CI, 0.60–0.84]). Poststroke hospital presentations (7–12 months) were most frequently related to recurrent cardiovascular and cerebrovascular events and sequelae of stroke. Conclusions: A large increase in annualized hospital presentation rates after stroke indicates the potential for improved community management and support for this vulnerable patient group.

Objective: The aims of this study were to describe patterns and dose of rehabilitation received following stroke and to investigate their relationship with outcomes. Design: This was a prospective observational cohort study. Setting: A total of seven public hospitals and all subsequent rehabilitation services in Queensland, Australia, participated in the study. Subjects: Participants were consecutive patients surviving acute stroke between July 2016 and January 2017. Methods: We tracked rehabilitation for six months following stroke and obtained 90- to 180-day outcomes from the Australian Stroke Clinical Registry. Measures: Dose of rehabilitation – time in therapy by physiotherapy, occupational therapy and speech pathology; modified Rankin Scale (mRS)- premorbid, acute care discharge and 90- to 180-day follow-up. Results: We recruited 504 patients, of whom 337 (median age = 73 years, 41% female) received 643 episodes of rehabilitation in 83 different services. Initial rehabilitation was predominantly inpatient (260/337, 77%) versus community-based (77/337, 21%). Therapy time was greater within inpatient services (median = 29 hours) compared to community-based (6 hours) or transition care (16 hours). Median (Quartile 1, Quartile 3) six-month cumulative therapy time was 73 hours (40, 130) when rehabilitation commenced in stroke units and continued in inpatient rehabilitation units; 43 hours (23, 78) when commenced in inpatient rehabilitation units; and 5 hours (2, 9) with only community rehabilitation. In 317 of 504 (63%) with follow-up data, improvement in mRS was most likely with inpatient rehabilitation (OR = 3.6, 95% CI = 1.7–7.7), lower with community rehabilitation (OR = 1.6, 95% CI = 0.7–3.8) compared to no rehabilitation, after adjustment for baseline factors. Conclusion: Amount of therapy varied widely between rehabilitation pathways. Amount of therapy and chance of improvement in function were highest with inpatient rehabilitation.

This is a protocol for a Cochrane Review (intervention). The objectives are as follows: MAIN OBJECTIVE: To assess the effects of care navigation, delivered in the community, on hospital presentations and PROMS in those at‐risk of unplanned hospital presentation. SECONDARY OBJECTIVE: To assess whether the effects of care navigation on the proposed outcomes differ according to the type of clinician delivering the intervention and the population groups receiving the intervention.

Background and Purpose: Although a target of 80% medication adherence is commonly cited, it is unclear whether greater adherence improves survival after stroke or transient ischemic attack (TIA). We investigated associations between medication adherence during the first year postdischarge, and mortality up to 3 years, to provide evidence-based targets for medication adherence. Methods: Retrospective cohort study of 1-year survivors of first-ever stroke or TIA, aged ≥18 years, from the Australian Stroke Clinical Registry (July 2010–June 2014) linked with nationwide prescription refill and mortality data (until August 2017). Adherence to antihypertensive agents, statins, and nonaspirin antithrombotic medications was based on the proportion of days covered from discharge until 1 year. Cox regression with restricted cubic splines was used to investigate nonlinear relationships between medication adherence and all-cause mortality (to 3 years postdischarge). Models were adjusted for age, sex, socioeconomic position, stroke factors, primary care factors, and concomitant medication use. Results: Among 8363 one-year survivors of first-ever stroke or TIA (44% aged ≥75 years, 44% female, 18% TIA), 75% were supplied antihypertensive agents. In patients without intracerebral hemorrhage (N=7446), 84% were supplied statins, and 65% were supplied nonaspirin antithrombotic medications. Median adherence was ≈90% for each medication group. Between 1% and 100% adherence, greater adherence to statins or antihypertensive agents, but not nonaspirin antithrombotic agents, was associated with improved survival. When restricted to linear regions above 60% adherence, each 10% increase in adherence was associated with a reduction in all-cause mortality of 13% for antihypertensive agents (hazard ratio, 0.87 [95% CI, 0.81–0.95]), 13% for statins (hazard ratio, 0.87 [95% CI, 0.80–0.95]), and 15% for nonaspirin antithrombotic agents (hazard ratio, 0.85 [95% CI, 0.79–0.93]). Conclusions: Greater levels of medication adherence after stroke or TIA are associated with improved survival, even among patients with near-perfect adherence. Interventions to improve medication adherence are needed to maximize survival poststroke.

Introduction After first stroke, the transition from rehabilitation to home can be confronting and fraught with challenges. Although stroke clinical practice guidelines recommend predischarge occupational therapy home visits to ensure safe discharge and provision of appropriate equipment, there is currently limited evidence to support this recommendation. Methods and analysis The HOME Rehab trial is a national, multicentre, phase III randomised controlled trial with concealed allocation, blinded assessment and intention-to-treat analysis being conducted in Australia. The trial aim is to determine the effect and potential cost-effectiveness of an enhanced occupational therapy discharge planning intervention that involves pre and postdischarge home visits, goal setting and occupational therapy in the home (the HOME programme) in comparison to an in-hospital predischarge planning intervention. Stroke survivors aged ≥45 years, admitted to a rehabilitation ward, expected to return to a community (private) dwelling after discharge, with no significant prestroke disability will be randomly allocated 1:1 to receive a standardised discharge planning intervention and the HOME programme or the standardised discharge planning intervention alone. The primary outcome is participation measured using the Nottingham Extended Activities of Daily Living. Secondary outcome areas include hospital readmission, disability, performance of instrumental activities of daily living, health-related quality of life, quality of care transition and carer burden. Resources used/costs will be collected for the cost-effectiveness analysis and hospital readmission. Recruitment commenced in 2019. Allowing for potential attrition, 360 participants will be recruited to detect a clinically important treatment difference with 80% power at a two-tailed significance level of 0.05. Ethics and dissemination This study is approved by the Alfred Health Human Research Ethics Committee and site-specific ethics approval has been obtained at all participating sites. Results of the main trial and the secondary endpoint of cost-effectiveness will be submitted for publication in peer-reviewed journals Trial registration number NCT12618001360202

Supplemental Digital Content is available in the text., Background and Purpose— Hospital uptake of evidence-based stroke care is variable. We aimed to determine the impact of a multicomponent program involving financial incentives and quality improvement interventions, on stroke care processes. Methods— A prospective study of interventions to improve clinical care quality indicators at 19 hospitals in Queensland, Australia, during 2010 to 2015, compared with historical controls and 23 other Australian hospitals. After baseline routine audit and feedback (control phase, 30 months), interventions involving financial incentives (21 months) and then addition of externally facilitated quality improvement workshops with action plan development (9 months) were implemented. Postintervention phase was 13 months. Data were obtained for the analysis from a previous continuous audit in Queensland and subsequently the Australian Stroke Clinical Registry. Primary outcome: change in median composite score for adherence to ≤8 indicators. Secondary outcomes: change in adherence to self-selected indicators addressed in action plans and 4 national indicators compared with other Australian hospitals. Multivariable analyses with adjustment for clustered data. Results— There were 17 502 patients from the intervention sites (median age, 74 years; 46% women) and 20 484 patients from other Australian hospitals. Patient characteristics were similar between groups. There was an 18% improvement in the primary outcome across the study periods (95% CI, 12%–24%). The largest improvement was following introduction of financial incentives (14%; 95% CI, 8%–20%), while indicators addressed in action plans provided an 8% improvement (95% CI, 1%–17%). The national score (4 indicators) improved by 17% (95% CI, 13%–20%) versus 0% change in other Australian hospitals (95% CI, −0.03 to 0.03). Access to stroke units improved more in Queensland than in other Australian hospitals (P

Objectives To assess the agreement between pharmaceutical claims data and patient-reported medication use after stroke. Methods Claims data from the Pharmaceutical Benefits Scheme were used to estimate medication use for a subset of participants registered in the Australian Stroke Clinical Registry in 2016. Estimates on medication use were validated against patient-reported responses (considered the reference standard). Key findings For antihypertensive and lipid-lowering medications, the sensitivity of claims data was excellent (85–87%) and the specificity was good (73–78%). Whereas for antithrombotic medications, sensitivity was modest (61%), but specificity was excellent (85%). Conclusions Pharmaceutical claims data can be used to infer medication use after stroke with mostly good to excellent sensitivity and specificity compared with the patient report.

The use of external facilitation within the context of multicomponent quality improvement interventions (mQI) is growing. We aimed to evaluate the influence of external facilitation for improving the quality of acute stroke care. Clinicians from hospitals participating in mQI (Queensland, Australia) as part of the Stroke123 study were supported by external facilitators in a single, on-site workshop to review hospital performance against eight clinical processes of care (PoCs) collected in the Australian Stroke Clinical Registry (AuSCR) and develop an action plan. Remote support (i.e., telephone/email) after the workshop was provided. As part of a process evaluation for Stroke123, we recorded the number and mode of contacts between clinicians and facilitators, type of support provided, and frequency of self-directed, hospital-level stroke registry data reviews. Analysis: We measured the association between amount/type of external facilitation, (i) development of action plans, and (ii) adherence to PoCs before and after the intervention using AuSCR data from 2010 to 2015. In total, 14/19 hospitals developed an action plan. There was no significant difference in amount or type of external facilitator support provided between hospitals that did, and did not, develop an action plan. There was no relationship between the amount of external facilitation and change in adherence to PoCs. Most (95%) hospitals accessed stroke registry performance data. In the Stroke123 study, the amount or type of external facilitation did not influence action plan development, and the amount of support did not influence the changes achieved in adherence to PoCs. Remote support may not add value for mQI.

IntroductionAgeing populations place considerable burden on healthcare systems. Innovative methods to implement and evaluate new care models to reduce unwarranted hospital presentations, are needed. Objectives and ApproachTo use linked Electronic Medical Record (EMR) data to evaluate a pilot community-based model of care to reduce hospital presentations in a cohort of patients at-risk of hospital representations following an acute admission. Patients admitted to a metropolitan hospital with a non-surgical condition andidentified as being at-risk of readmission using a state-wide risk algorithm, were eligible to receive a 30-day care navigation model of care. The intervention group were matched to similar eligible patients, who received usual care using propensity score matching. Linked data were obtained from the EMR based Data Warehouse to provide information on subsequent readmissions and community-based health service contacts. Readmission rates were compared at 30, 60, and 90-days post-discharge using Cox Proportional Hazards Regression, adjusted for confounders and weighted by the propensity score. Descriptive analyses were used to compare demographics and healthcare utilisations. ResultsData from 412,971 potentially eligible patients were extracted. Sixty-five received the intervention of which 63 were matched to 280 controls (aged 51-91 years, 54% female, 63% lived alone). At 30-days post-discharge (during intervention delivery) an 80% reduction in readmission rate in the intervention group was observed (Hazard Ratio [HR] 0.20; 95%Confidence Interval (CI) [0.01, 4.20]). At 60-days (HR 0.48; 95%CI [0.03, 8.05]) and 90-days (HR 0.83; 95%CI [0.06, 11.36]), readmission rate reductions decreased to 52% and 17% respectively. In the intervention group, 68.9% received an out-patient appointment compared to 40% of controls (P

IntroductionTo prevent further vascular events, prescribing of multiple classes of medications (antihypertensive, antithrombotic and lipid-lowering) is recommended in national clinical guidelines following ischaemic stroke. Objectives and ApproachUsing real-world data, we determined the association between optimal combination pharmacotherapy (supply of all three classes, “optimal pharmacotherapy”) and survival after stroke. We linked a cohort of patients with first-ever ischaemic stroke from the Australian Stroke Clinical Registry (2010-2014) with national pharmaceutical dispensing and national mortality data. Cox regression was used to determine associations between pharmacotherapy in the first 30 days of stroke with 1-year (from day 31 to 395) all-cause mortality. All analyses were adjusted for socio-demographic (age, sex) and clinical characteristics (stroke severity, discharge destination). ResultsAmong 6684 patients discharged following first-ever ischaemic stroke (median length-of-stay 5 days), 6466 patients who survived to 30 days were included (44% female, median age 74 years). During the first 30 days from discharge, 71.4% received ≥1 medication class, and 32.9% (n=2125) received optimal pharmacotherapy. Patients with optimal pharmacotherapy were older (≥75 years 50.3% vs

IntroductionRecent advances in Australia mean that it is possible to link national clinical registries with government held administrative datasets. However, formal evaluations of such activities and the potential impact for research are lacking. Objectives and ApproachWe aimed to assess the feasibility and accuracy of linking registrants from the Australian Stroke Clinical Registry (AuSCR) with the Medicare enrolment file. Following data custodian and ethics approvals, personal linkage identifiers were submitted to the Australian Institute of Health and Welfare (AIHW). De-identified data from AuSCR and the AIHW were submitted into the Secure Unified Research Environment and merged using project specific person-based IDs. We calculated the proportion of patients linked with the Medicare enrolment file that were present in the associated Medicare and medication dispensing datasets and the proportion with claims after their date of death. Logistic regression was used to identify factors associated with a non-merged patient. Results17,980 AuSCR registrants (January 2010-July 2014) were submitted for linkage (median age 76 years; 46% female; 67% ischaemic stroke; 16% TIA). Of these, 93% were merged with Medicare (N=16,648) and 95% with subsidised medication dispensing claims data (N=17,079). In those who died, 127 (0.8%) had one or more Medicare claim and 411 (2.4%) had one or more medications dispensed after their death date. Asian born registrants were less likely to be merged with Medicare (adjusted Odds Ratio [aOR]: 0.54; 95% Confidence Interval [CI]: 0.40, 0.72) than Australian born registrants. Those aged ≥85 years were less likely to be merged with Medicare data than those aged

IntroductionDespite being recommended in clinical guidelines for secondary prevention of stroke, there are limited real-world data on outcomes associated with use of statins post-stroke. Objectives and ApproachWe aimed to investigate the association between statin use and cardiovascular mortality post-stroke. We conducted a retrospective cohort study using prospectively collected data from the Australian Stroke Clinical Registry (2010-2014), linked with national medication dispensing and mortality data. We observed adult patients with first-ever ischaemic stroke or transient ischaemic attack (TIA) for 1-year following hospital discharge, or until their date of death, whichever occurred first. Statin use, defined as having an available statin dispensing, was assessed daily and treated as a time-varying exposure to account for patients who discontinued or reinitiated statins during follow-up. Multivariable, competing-risks regression, with non-cardiovascular death as the competing risk, was used to investigate the association between statin use and 1-year cardiovascular mortality. ResultsAmong 8363 patients discharged following first-ever ischaemic stroke or TIA (48% aged ≥75 years, 45% female, 20% TIA, median length-of-stay 5 days), 945 died within 1 year, with 763 deaths being cardiovascular-related. The proportion of statin users was 65% at 90 days, 64% at 180 days, and 62% at 1 year. Groups least likely to be statin users at 1-year were women (odds ratio [OR]: 0.75; 95% CI: 0.67-0.85), patients aged

Background Electronic communication is used in various populations to achieve health goals, but evidence in stroke is lacking. We pilot tested the feasibility and potential effectiveness of a novel personalised electronic self-management intervention to support person-centred goal attainment and secondary prevention after stroke. Methods A phase I, prospective, randomised controlled pilot trial (1:1 allocation) with assessor blinding, intention-to-treat analysis, and a process evaluation. Community-based survivors of stroke were recruited from participants in the Australian Stroke Clinical Registry (AuSCR) who had indicated their willingness to be contacted for research studies. Inclusion criteria include 1–2 years following hospital admission for stroke and living within 50 km of Monash University (Melbourne). Person-centred goals were set with facilitation by a clinician using a standardised template. The intervention group received electronic support messages aligned to their goals over 4 weeks. The control group received only 2–3 electronic administrative messages. Primary outcomes were study retention, goal attainment (assessed using Goal Attainment Scaling method) and satisfaction. Secondary outcomes were self-management (Health Education Impact Questionnaire: 8 domains), quality of life, mood and acceptability. Results Of 340 invitations sent from AuSCR, 73 responded, 68 were eligible and 57 (84%) completed the baseline assessment. At the goal-setting stage, 54/68 (79%) were randomised (median 16 months after stroke): 25 to intervention (median age 69 years; 40% female) and 29 to control (median age 68 years; 38% female). Forty-five (83%) participants completed the outcome follow-up assessment. At follow-up, goal attainment (mean GAS-T score ≥ 50) in the intervention group was achieved for goals related to function, participation and environment (control: environment only). Most intervention participants provided positive feedback and reported that the iVERVE messages were easy to understand (92%) and assisted them in achieving their goals (77%). We found preliminary evidence of non-significant improvements between the groups for most self-management domains (e.g. social integration and support: β coefficient 0.34; 95% CI − 0.14 to 0.83) and several quality-of-life domains in favour of the intervention group. Conclusion These findings support the need for further randomised effectiveness trials of the iVERVE program to be tested in people with new stroke. Trial registration ANZCTR, ACTRN12618001519246. Registered on 11 September 2018—retrospectively registered.

Objective: We aim to report the accuracy of linking data from a non‐government‐held clinical quality registry to national claims data and identify associated sources of systematic bias. Methods: Patients with stroke or transient ischaemic attack admitted to hospitals participating in the Australian Stroke Clinical Registry (AuSCR) were linked with Medicare and medication dispensings through the Australian Medicare enrolment file (MEF). The proportion of registrants in the datasets was calculated and factors associated with a non‐merge assessed using multivariable analyses. Results: A total of 17,980 AuSCR registrants (January 2010 – July 2014) were submitted for linkage (median age 76 years; 46% female; 67% ischaemic stroke); the proportion merged was 97% MEF, 93% Medicare and 95% medication dispensings. Data from registrants born in Asia were less likely to link with the MEF (adjusted Odds Ratio [aOR]: 0.20; 95%Confidence Interval [CI]: 0.15, 0.27). Data for those aged 85‐plus compared to those under 65 years were less likely to merge with Medicare (aOR 0.25; 95%CI:0.21, 0.30) but more likely to merge with dispensing claims data (aOR: 2.15 (95%CI:1.71, 2.69). Implications for public health: Linkage between the AuSCR, a national clinical quality registry and Commonwealth datasets was achieved and potential sources of bias were identified.

ObjectiveTo investigate whether certain patient, acute care, or primary care factors are associated with medication initiation and discontinuation in the community after stroke or TIA.MethodsThis is a retrospective cohort study using prospective data on adult patients with first-ever acute stroke/TIA from the Australian Stroke Clinical Registry (April 2010 to June 2014), linked with nationwide medication dispensing and Medicare claims data. Medication users were those with ≥1 dispensing in the year postdischarge. Discontinuation was assessed among medication users and defined as having no medication supply for ≥90 days in the year postdischarge. Multivariable competing risks regression, accounting for death during the observation period, was conducted to investigate factors associated with time to medication discontinuation.ResultsAmong 17,980 registry patients with stroke/TIA, 91.4% were linked to administrative datasets. Of these, 9,817 adults with first-ever stroke/TIA were included (45.4% female, 47.6% aged ≥75 years, and 11.4% intracerebral hemorrhage). While most patients received secondary prevention medications (79.3% antihypertensive, 81.8% antithrombotic, and 82.7% lipid-lowering medication), between one-fifth and one-third discontinued treatment over the subsequent year postdischarge (20.9% antihypertensive, 34.1% antithrombotic, and 28.5% lipid-lowering medications). Prescription at hospital discharge (sub–hazard ratio [SHR] 0.70; 95% confidence interval [CI] 0.62–0.79), quarterly contact with a primary care physician (SHR 0.62; 95% CI 0.57–0.67), and prescription by a specialist physician (SHR 0.87; 95% CI 0.77–0.98) were all inversely associated with antihypertensive discontinuation.ConclusionsPatterns of use of secondary prevention medications after stroke/TIA are not optimal, with many survivors discontinuing treatment within 1 year postdischarge. Improving postdischarge care for patients with stroke/TIA is needed to minimize unwarranted discontinuation.

Patients who frequently attend to emergency departments are a varying group and have complex health care needs. This systematic review and meta-analysis aimed to determine the prevalence of patients who have frequent attendance to emergency departments. A systematic review was performed in line with PRISMA guidelines. A database search was conducted, and studies were included in the final review if they analysed a population of frequent attendance. Meta-analysis was performed only on population-based studies to estimate prevalence. The search yielded 2922 nonduplicate publications, of which 27 were included in the meta-analysis. The most common definition used for frequent attendance was greater than three presentations a year. The proportion of people who frequently attended as a percentage of the total study population ranged from 0.01 to 20.9%, with emergency department presentations from frequent attenders ranging from 0.2 to 34%. When limiting the definition of frequent attendance to greater than three visits in a 12-month period, people who frequently attended contributed between 3 and 10% [pooled estimate 6%; CI 4–7%] of emergency department presentations and between 12 and 34% [pooled estimate 21%; CI 15–27%] of total emergency department presentations. Meta-analysis found substantial heterogeneity between estimates [I2 > 50%]. The prevalence of frequent attendance compared to the total population of patients seeking emergency care was small, but the impact on emergency department utilisation is significant. Early identification of people attending for frequent care at an emergency department provides the opportunity to implement alternative models of care.

PURPOSE Prescribed daily dose (PDD), the number of doses prescribed to be taken per day, is used to calculate medication adherence using pharmacy claims data. PDD can be substituted by (i) one dose per day (1DD), (ii) an estimate based on the 75th percentile of days taken by patients to refill a script (PDD75 ) or (iii) the World Health Organization's defined daily dose (DDD). We aimed to compare these approaches for estimating the duration covered by medications and whether this affects calculated 1-year adherence to antihypertensive medications post-stroke. METHODS We conducted a retrospective review of prospective cohort data from the ongoing Australian Stroke Clinical Registry linked with pharmacy claims data. Adherence was calculated as the proportion of days covered (PDC) for 1DD, PDD75 and DDD. Differences were assessed using Wilcoxon rank-sum tests. RESULTS Among 12 628 eligible patients with stroke, 10 057 (80%) were prescribed antihypertensive medications in the year after hospital discharge (78.2% aged ≥65 years, 45.2% female). Overall, the 75th percentile of patient time until next medication refill was 39 days. The greatest variations in dose regimens, estimated using person- and dose-level refill times, were for beta blockers (11.4% taking two tablets/day). There were comparable levels of adherence between 1DD and the PDD75 (median PDC 91.0% vs 91.2%; P = 0.70), but adherence was slightly higher using DDD (92.3%; both P < 0.001). However, this would represent a clinically nonsignificant difference. CONCLUSION Adherence to antihypertensive medications shows similar estimates across standard measures of dosage in patients during the first year after an acute stroke.

The aim of this study was to describe differences in long-term outcomes for patients discharged to inpatient rehabilitation facilities (IRFs) following stroke compared to patients discharged directly home or to residential aged care facilities (RACFs). Cohort study. Data from the Australian Stroke Clinical Registry were linked to hospital admissions records and the national death index. Main outcomes: death and hospital readmissions up to 12 months post-admission, Health-related Quality of Life (HRQoL) 90-180 days post-admission. Of 8,555 included patients (median age 75, 55% male, 83% ischemic stroke), 4,405 (51.5%) were discharged home, 3,442 (40.2%) to IRFs, and 708 (8.3%) to RACFs. No between-group differences were observed in hazard of death between patients discharged to IRFs versus home. Fewer patients discharged to IRFs were readmitted to hospital within 90, 180 or 365-days compared to patients discharged home (adjusted subhazard ratio [aSHR]:90-days 0.54, 95%CI 0.49, 0.61; aSHR:180-days 0.74, 95%CI 0.67, 0.82; aSHR:365-days 0.85, 95%CI 0.78, 0.93). Fewer patients discharged to IRFs reported problems with mobility compared to those discharged home (adjusted OR 0.54, 95%CI 0.47, 0.63), or to RACFs (aOR 0.35, 95%CI 0.25, 0.48). Overall HRQoL between 90-180 days was worse for people discharged to IRFs versus those discharged home and better than those discharged to RACFs. Several long-term outcomes differed significantly for patients discharged to different settings after stroke. Patients discharged to IRFs reported some better outcomes than people discharge directly home despite having markers of more severe stroke.Implications for rehabilitationPeople with mild strokes are usually discharged directly home, people with moderate severity strokes to inpatient rehabilitation, and people with very severe strokes are usually discharged to residential aged care facilities.People discharged to inpatient rehabilitation reported fewer problems with mobility and had a reduced risk of hospital readmission in the first year post-stroke compared to people discharged directly home after stroke.The median self-reported health-related quality of life for people discharged to residential aged care equated to ‘worst health state imaginable’. People with mild strokes are usually discharged directly home, people with moderate severity strokes to inpatient rehabilitation, and people with very severe strokes are usually discharged to residential aged care facilities. People discharged to inpatient rehabilitation reported fewer problems with mobility and had a reduced risk of hospital readmission in the first year post-stroke compared to people discharged directly home after stroke. The median self-reported health-related quality of life for people discharged to residential aged care equated to ‘worst health state imaginable’.

Objectives To determine the feasibility of linking data from the Australian Stroke Clinical Registry (AuSCR ), the National Death Index (NDI ), and state‐managed databases for hospital admissions and emergency presentations; to evaluate data completeness and concordance between datasets for common variables. Design, setting, participants Cohort design; probabilistic/deterministic data linkage of merged records for patients treated in hospital for stroke or transient ischaemic attack from New South Wales, Queensland, Victoria, and Western Australia. Main outcome measures Descriptive statistics for data matching success; concordance of demographic variables common to linked databases; sensitivity and specificity of AuSCR in‐hospital death data for predicting NDI registrations. Results Data for 16 214 patients registered in the AuSCR during 2009–2013 were linked with one or more state datasets: 15 482 matches (95%) with hospital admissions data, and 12 902 matches (80%) with emergency department presentations data were made. Concordance of AuSCR and hospital admissions data exceeded 99% for sex, age, in‐hospital death (each κ = 0.99), and Indigenous status (κ = 0.83). Of 1498 registrants identified in the AuSCR as dying in hospital, 1440 (96%) were also recorded by the NDI as dying in hospital. In‐hospital death in AuSCR data had 98.7% sensitivity and 99.6% specificity for predicting in‐hospital death in the NDI . Conclusion We report the first linkage of data from an Australian national clinical quality disease registry with routinely collected data from several national and state government health datasets. Data linkage enriches the clinical registry dataset and provides additional information beyond that for the acute care setting and quality of life at follow‐up, allowing clinical outcomes for people with stroke (mortality and hospital contacts) to be more comprehensively assessed.

Approximately 30–50% of survivors experience problems with anxiety or depression post-stroke. It is important to understand the factors associated with post-stroke anxiety or depression to identify effective interventions. Patient-level data from the Australian Stroke Clinical Registry (years 2009–2013), from participating hospitals in Queensland (n = 23), were linked with Queensland Hospital Emergency and Admission datasets. Self-reported anxiety or depression was assessed using the EQ-5D-3L, obtained at 90–180 days post-stroke. Multivariable multilevel logistic regression, with manual stepwise elimination of variables, was used to investigate the association between self-reported anxiety or depression, patient factors and acute stroke processes of care. Comorbidities, including prior mental health problems (e.g. anxiety, depression and dementia) coded in previous hospital admissions or emergency presentations using ICD-10 diagnosis codes, were identified from 5 years prior to stroke event. 2853 patients were included (median age 74; 45% female; 72% stroke; 24% transient ischaemic attack). Nearly half (47%) reported some level of anxiety or depression post-stroke. The factors most strongly associated with anxiety or depression were a prior diagnosis of anxiety or depression [Adjusted Odds Ratio (aOR) 2.37, 95% confidence interval (95% CI) 1.66–3.39; p

OBJECTIVES: To evaluate key quality indicators for acute care and one-year outcomes following acute ischaemic stroke (IS), intracerebral haemorrhage (ICH), or transient ischaemic attack (TIA) by diabetes status. MATERIALS AND METHODS: Observational cohort study (2009-2013) using linked data from the Australian Stroke Clinical Registry and hospital records. Diabetes was ascertained through review of hospital records. Multilevel regression models were used to evaluate the association between diabetes and outcomes, including discharge destination, and mortality and hospital readmissions within one-year of stroke/TIA. RESULTS: Among 14,132 patients (median age 76 years, 46% female), 22% had diabetes. Compared to patients without diabetes, those with diabetes were equally likely to receive stroke unit care, but were more often discharged on antihypertensive agents (79% vs. 68%) or with a care plan (50% vs. 47%). In patients with TIA, although 86% returned directly home after acute care, those with diabetes more often had a different discharge destination than those without diabetes. Diabetes was associated with greater all-cause mortality (hazard ratio 1.13, 95% CI 1.04-1.23) in patients with IS/ICH; and with both greater all-cause (1.81, CI 1.35-2.43) and CVD mortality (1.75, CI 1.06-2.91) in patients with TIA. Similarly, diabetes was associated with greater rates of all-cause readmission in both patients with IS/ICH and TIA. CONCLUSIONS: Despite good adherence to best care standards for acute stroke/TIA, patients with comorbid diabetes had worse outcomes at one-year than those without comorbid diabetes. Associations of diabetes with poorer outcomes were more pronounced in patients with TIA than those with IS/ICH.

Objective:To extensively investigate long-term unmet needs in survivors of stroke or TIA and to identify factors associated with these unmet needs.Methods:Community-dwelling adults were invited to participate in a survey ≥2 years after discharge for stroke/TIA. Unmet needs were assessed across 5 domains: activities and participation, environmental factors, body functions, post–acute care, and secondary prevention. Factors associated with unmet needs were determined with multivariable negative binomial regression.Results:Of 485 participants invited to complete the survey, 391 (81%) responded (median age 73 years, 67% male). Most responders (87%) reported unmet needs in ≥1 of the measured domains, particularly in secondary prevention (71%). Factors associated with fewer unmet needs included older age (incident rate ratio [IRR] 0.62, 95% confidence interval [CI] 0.50–0.77), greater functional ability (IRR 0.33, 95% CI 0.17–0.67), and reporting that the general practitioner was the most important in care (IRR 0.69, 95% CI 0.57–0.84). Being depressed (IRR 1.61, 95% CI 1.23–2.10) and receiving community services after stroke (IRR 1.45, 95% CI 1.16–1.82) were associated with more unmet needs.Conclusions:Survivors of stroke/TIA reported considerable unmet needs ≥2 years after discharge, particularly in secondary prevention. The factors associated with unmet needs could help guide policy decisions, particularly for tailoring care and support services provided after discharge.

Background Evidence of the burden of suboptimal stroke care should expedite quality improvement. We aimed to estimate the health and economic impact of improving acute stroke management to best practice standards using Australia as a case study. Methods Hospital performance in Australia was estimated using data from the National Stroke Audit of Acute Services 2013. The percentage of patients provided evidence-based therapies in all hospitals was compared to that achieved in the aggregate of top performing benchmark hospitals (that included between them, a minimum contribution of 15% of all cases audited). The number of additional patients who would receive therapies if this performance gap was rectified was applied to a standardized economic simulation model that comprised stroke rates and resource-use estimates from the North East Melbourne Stroke Incidence Study applied to the 2013 Australian population. Results In 2013, 41,398 patients were estimated to have been hospitalized with stroke. If acute care was improved to that of Australian benchmarks, there would be an additional 15,317 patients accessing stroke units; 1960 receiving thrombolysis; and 4007 being treated with antihypertensive medication, 3082 with antiplatelet medication, 2179 with anticoagulant medication, and 3514 with lipid-lowering therapy. Approximately 9329 disability-adjusted life years could be avoided. This additional care provided would be cost effective at AUD 3304 per disability adjusted life year avoided. Conclusion The benefits of reducing evidence–practice gaps in Australia are considerable. Further investment in initiatives to optimize hospital care is justified.

Background and Purpose— Readmissions after stroke are common and appear to be associated with comorbidities or disability-related characteristics. In this study, we aimed to determine the patient and health-system level factors associated with all-cause and unplanned hospital readmission within 90 days after acute stroke or transient ischemic attack (TIA) in Australia. Methods— We used person-level linkages between data from the Australian Stroke Clinical Registry (2009–2013), hospital admissions data and national death registrations from 4 Australian states. Time to first readmission (all-cause or unplanned) for discharged patients was examined within 30, 90, and 365 days, using competing risks regression to account for deaths postdischarge. Covariates included age, stroke severity (ability to walk on admission), stroke type, admissions before stroke/TIA and the Charlson Comorbidity Index (derived from International Statistical Classification of Diseases and Related Health Problems, Tenth Revision , [Australian modified] coded hospital data in the preceding 5 years). Results— Among the 13 594 patients discharged following stroke/TIA (45% female; 65% ischemic stroke; 11% intracerebral hemorrhage; 4% undetermined stroke; and 20% TIA), 25% had an all-cause readmission and 15% had an unplanned readmission within 90 days. In multivariable analyses, the factors independently associated with a greater risk of unplanned readmission within 90 days were being female (subhazard ratio, 1.13 [95% CI, 1.03–1.24]), greater Charlson Comorbidity Index scores (subhazard ratio, 1.11 [95% CI, 1.09–1.12]) and having an admission ≤90 days before the index event (subhazard ratio, 1.85 [95% CI, 1.59–2.15]). Compared with being discharged to rehabilitation or aged care, those who were discharged directly home were more likely to have an unplanned readmission within 90 days (subhazard ratio, 1.44 [95% CI, 1.33–1.55]). These factors were similar for readmissions within 30 and 365 days. Conclusions— Apart from comorbidities and patient-level characteristics, readmissions after stroke/TIA were associated with discharge destination. Greater support for transition to home after stroke/TIA may be needed to reduce unplanned readmissions.

Background and Purpose— Despite evidence to support the prescription of antihypertensive medications before hospital discharge to promote medication adherence and prevent recurrent events, many patients with stroke miss out on these medications at discharge. We aimed to examine patient, clinical, and system-level differences in the prescription of antihypertensive medications at hospital discharge after stroke. Methods— Adults with acute ischemic stroke or intracerebral hemorrhage alive at discharge were included (years 2009–2013) from 39 hospitals participating in the Australian Stroke Clinical Registry. Patient comorbidities were identified using the International Statistical Classification of Diseases and Related Health Problems (Tenth Edition, Australian Modification ) codes from the hospital admissions and emergency presentation data. The outcome variable and other system factors were derived from the Australian Stroke Clinical Registry dataset. Multivariable, multilevel logistic regression was used to examine factors associated with the prescription of antihypertensive medications at hospital discharge. Results— Of the 10 315 patients included, 79.0% (intracerebral hemorrhage, 74.1%; acute ischemic stroke, 79.8%) were prescribed antihypertensive medications at discharge. Prescription varied between hospital sites, with 6 sites >2 SDs below the national average for provision of antihypertensives at discharge. Prescription was also independently associated with patient and clinical factors including history of hypertension, diabetes mellitus, management in an acute stroke unit, and discharge to rehabilitation. In patients with acute ischemic stroke, females (odds ratio, 0.85; 95% CI, 0.76–0.94), those who had greater stroke severity (odds ratio, 0.81; 95% CI 0.72–0.92), or dementia (odds ratio, 0.65; 95% CI, 0.52–0.81) were less likely to be prescribed. Conclusions— Prescription of antihypertensive medications poststroke varies between hospitals and according to patient factors including age, sex, stroke severity, and comorbidity profile. Implementation of targeted quality improvement initiatives at local hospitals may help to reduce the variation in prescription observed.

IntroductionThe growing burden of chronic diseases means some governments have been providing financial incentives for multidisciplinary care and self-management support delivered within primary care. Currently, population-based evaluations of the effectiveness of these policies are lacking. AimTo outline the methodological approach for our study that is designed to evaluate the effectiveness (including cost) of primary care policies for chronic diseases in Australia using stroke as a case study. MethodsPerson-level linkages will be undertaken between registrants from the Australian Stroke Clinical Registry (AuSCR) and (i) Government-held Medicare Australia claims data, to identify receipt or not of chronic disease management and care coordination primary care items; (ii) state government-held hospital data, to define outcomes; and (iii) government-held pharmaceutical and aged care claims data, to define covariates. N=1500 randomly selected AuSCR registrants will be sent surveys to obtain patient experience information. In Australia, unique identifiers are unavailable. Therefore, personal-identifiers will be submitted to government data linkage units. Researchers will merge the de-identified datasets for analysis using a project identifier. An economic evaluation will also be undertaken. AnalysisThe index event will be the first stroke recorded in the AuSCR. Multivariable competing risks Poisson regression for multiple events, adjusted by a propensity score, will be used to test for differences in the rates of hospital presentations and medication adherence for different care (policy) types. Our estimated sample size of 25,000 patients will provide 80% estimated power (α >0.05) to detect a 6-8% difference in rates. The incremental costs per Quality-adjusted life years gained of community-based care following the acute event will be estimated from a health sector perspective. ConclusionCompletion of this study will provide a novel and comprehensive evaluation of the effectiveness and cost-effectiveness of Australian primary care policies. Its success will enable us to highlight the value of data-linkage for this type of research.

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.

Objective: To describe the challenges of obtaining state and nationally held data for linkage to a non-government national clinical registry. Methods: We reviewed processes negotiated to achieve linkage between the Australian Stroke Clinical Registry (AuSCR), the National Death Index, and state held hospital data. Minutes from working group meetings, national workshop meetings, and documented communications with health department staff were reviewed and summarised. Results: Time from first application to receipt of data was more than two years for most state data-sets. Several challenges were unique to linkages involving identifiable data from a non-government clinical registry. Concerns about consent, the re-identification of data, duality of data custodian roles and data ownership were raised. Requirements involved the development of data flow methods, separating roles and multiple governance and ethics approvals. Approval to link death data presented the fewest barriers. Conclusion: To our knowledge, this is the first time in Australia that person-level data from a clinical quality registry has been linked to hospital and mortality data across multiple Australian jurisdictions. Implications for Public Health: The administrative load of obtaining linked data makes projects such as this burdensome but not impossible. An improved national centralised strategy for data linkage in Australia is urgently needed.

Background Identification and modification of risk factors are essential for preventing intracerebral hemorrhage (ICH). Prior hospital admissions provide opportunities to intervene. We reported hospital admissions prior to primary ICH and investigated factors associated with survival. Methods Cohort design using patient-level data from the Australian Stroke Clinical Registry (2009-2013) linked with hospital administrative datasets from four states (VIC, NSW, WA, QLD). Prior hospital admission is divided into within 90 days and more than 90 days prior to the index ICH event. The International Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification codes were used to define principal diagnoses of previous admissions/presentations and comorbidities. Factors associated with survival after ICH were investigated using Cox proportional hazards regression. Results Among 15,482 admissions for stroke, 2,098 (14%) had an ICH (median age 76 years, 52% male), 1,732 patients (83%) had a prior hospital admission, including 440 patients (21%) within 90 days of their index ICH admission. Patients with prior admission were older, had more comorbidities, and greater hospital frailty risk score than those without prior admission. Diseases of the circulatory system (14%) were the most common principal diagnoses for hospital admissions prior to ICH. Of the comorbidities associated with survival, neoplasms conferred the greatest hazard of death at 180 days after ICH (adjusted hazard ratio 1.42, 95% confidence interval 1.15 – 1.76, p = 0.001). Conclusion Hospital presentations in the 90 days prior to ICH are common. Future research should be focussed on identifying opportunities for preventing ICH.

IntroductionThe global burden of chronic diseases is large and increasing. In response, governments are investing substantial funds in innovative models of primary care, characterised by multidisciplinary care and self-management support for people with chronic conditions. Currently, large scale population-based evaluations of the effectiveness of these policies are lacking. Objectives and ApproachWe aim to evaluate the effectiveness and cost-effectiveness of enhanced primary care policies for chronic diseases funded through Medicare Australia using stroke as a case study. Person-level linkages from the following will be used: Australian Stroke Clinical Registry (AuSCR) to define the cohort; Australian government-held Medicare claims data to identify receipt or not of enhanced primary care items; state government-held hospital data to define outcomes; and Australian government-held pharmaceutical and aged care claims data to define covariates. In Australia, unique identifiers are not used therefore, personal-identifiers will be submitted to data linkage units and content records merged using a Project-ID. ResultsIdentifiers from ~25,000 AuSCR registrants (2012-2016), from Victoria and Queensland will be submitted for linkage. The index event is the first event recorded in the AuSCR. Data applications to state health departments and the Australian Institute of Health and Welfare have commenced. To obtain detailed information on patient’s primary care experience 1,500 randomly selected AuSCR registrants are being sent surveys. Multivariable analyses using a competing risks Poisson regression model for multiple events and adjusted by a propensity score, will be used to test for differences in the rates of hospital presentations. We have power (a >0.05) to detect a ≥6% difference in the number of hospital contacts between those who did and did not receive enhanced primary care. An economic evaluation will also be undertaken. Conclusion/ImplicationsThis is the largest stroke data linkage study in Australia. The breadth of data will provide a comprehensive evaluation of the effectiveness of enhanced primary care policies within “real world” healthcare provision. Methods will advance the use of population data linkage in healthcare evaluation where unique identifiers are unavailable.

IntroductionSurvivors of stroke have complex needs from ongoing disabilities and have increased risk of cardiovascular diseases. The societal costs are therefore substantial. Person-level longitudinal data on the longer-term hospital utilizations of patients with stroke in Australia, and the factors that may influence usage in this setting, are rarely reported. Objectives and ApproachWe used person-level linkages between the Australian Stroke Clinical Registry (AuSCR: 2009-2013) and hospital admission and Emergency Department (ED) data from four states to examine determinants of hospital utilisation following stroke. The index event was the first event recorded in AuSCR. The rate of hospital contacts/person/year was calculated from contacts 30-365 days post-discharge. Disability was determined from responses to EQ-5D-3L data collected at 90-180 days post-stroke. Comorbidities were identified using ICD-10 discharge diagnosis codes (5 year look back including the index event). Negative binomial regression was used adjusting for patient clustering by hospital and pre-stroke contacts and stratified by disability. ResultsAmong 10,082 adults with acute stroke (55% male, median age 74 years, 81% ischaemic, 14% hemorrhagic, 5% undetermined, 44% with disability) from 39 hospitals, 57% had a hospital admission or ED contact in the first 30-365 days post-hospital discharge, with median contacts/person/year post-stroke of 1.09 (Q1, Q3: 0, 3.27) compared to a pre-contact rate of 0 (Q1, Q3: 0, 2.18). The strongest associations with subsequent hospital contacts were prior contacts (IRR:1.10, 95%CI:1.07, 1.13), not able to walk on admission (stroke severity) (IRR:1.19, 95%CI 1.07, 1.31) and having a higher comorbidity index score (IRR:1.18, 95%CI:1.14, 1.22). Within stratified cohorts younger age was associated with increased contacts in those with disability ( Conclusion/ImplicationsIn a large linked cohort of patients we have demonstrated the substantial ongoing burden that stroke imposes on hospital systems, particularly regarding survivors with other comorbidities and younger survivors with disability. Knowledge of disability and comorbidity burden may assist with targeting community and hospital interventions to reduce post-stroke hospital usage.

IntroductionRecent advances in data linkage infrastructure in Australia mean that data can be linked based on various identifiers across datasets. In a first for Australia, we tested the feasibility of linking data between a clinical quality disease registry with Australian and state government health data across multiple jurisdictions. Objectives and ApproachTo determine whether high quality linked data for stroke can be obtained using a non-government managed registry (Australian Stroke Clinical Registry, AuSCR), national death registry data (Australian government), and hospital admission and emergency presentation data (state governments) to assess the accuracy of consistent variables across the different datasets. We used a cohort design with probabilistic data linkage to merge patient-level records. Descriptive statistics presented for matching concordance and Cohen’s kappa for concordance across demographic variables. The sensitivity and specificity of in-hospital deaths collected in the AuSCR was assessed against national death registrations. ResultsThere were 16,214 registrants in the study cohort. Their identifiers in the AuSCR from 2009-2013 were linked with death, emergency department and hospital discharge data from April 2004 to December 2016. In total, 99% of the AuSCR registrants were linked to one or more datasets; 98\% were linked with emergency presentation (80%) and/or admission (95%) data. Linkage to national death registrations identified 4,183 death; 1440 of these were identified as in-hospital deaths in both data sets demonstrating that in-hospital death classification in AuSCR had a 98.7% sensitivity and 99.6% specificity. Concordance between common demographic variables was excellent (kappa 0.84 for aboriginal status and kappa 0.99 for sex). Conclusion/ImplicationsThe majority of AuSCR registrants were accurately linked to the Australian and state government datasets. Linkage quality was excellent and there was high concordance between common variables. The ability to reliably merge the datasets assures future comprehensive analyses of stroke care, ongoing health care resource utilisation and patient outcomes.

Chest infections occur in approximately one-third of patients following acute stroke, and are associated with poor outcomes. Limitations in previous reviews restricted the accuracy of results.To perform a systematic review to reliably identify modifiable risk factors for chest infections following acute stroke.Ovid Medline, CINAHL, Cochrane, EMBASE and AMED were searched from 1946 to April 2017 for observational studies where risk factors for chest infections in patients hospitalized with acute stroke were reported. Key words used to identify included chest infection or pneumonia. Included studies were evaluated based on methodological criteria and scientific quality. Results were collated and separate meta-analyses were performed for risk factors examined in three or more studies where quality and homogeneity criteria were met.3172 studies were identified, 15 were eligible for inclusion. Data collection methods included primary data collection, medical record audit and registry data. Chest infections were diagnosed 2-30 days following acute stroke in ten studies. Of the 39 risk factors identified, four were included in the meta-analysis. These were mechanical ventilation: 4 studies, OR: 3.83, 95%CI: 3.21, 4.57; diabetes: 4 studies, OR: 1.06, 95%CI: 1.04, 1.08; pre-existing respiratory conditions: 3 studies, OR: 1.48, 95%CI 1.21, 1.81 and atrial fibrillation: 3 studies, OR: 1.21, 95%CI: 1.17, 1.24. Common risk factors not eligible for meta-analysis were dysphagia and cardiac comorbidities.Evidence has been comprehensively synthesized to provide reliable estimates of the association between important risk factors and chest infection. Monitoring patients meeting these criteria may promote early identification and treatment to improve long-term outcomes.

ObjectiveTo investigate the risk of death from cardiovascular disease between patients who were and were not prescribed antihypertensive medication following stroke or TIA.MethodsThis was a large cohort study using routinely collected prospective data from the Australian Stroke Clinical Registry. Patients registered between 2009 and 2013 who were discharged to the community or rehabilitation were included. Cases were linked to the National Death Index to determine the date and cause of death. Propensity score matching with stratification was utilized to compare between similar subgroups of patients. Multivariable competing risks regression, with noncardiovascular death as a competing risk, was conducted to investigate the association between the prescription of antihypertensive medications and cardiovascular death at 180 days after admission.ResultsAmong 12,198 patients from 40 hospitals, 70% were prescribed antihypertensive medications. Patients who were older, were treated in a stroke unit, and had better socioeconomic position were more often discharged from hospital with an antihypertensive medication. Including only patients within propensity score quintiles with acceptable levels of balance in covariates between groups (n = 8,786), prescription of antihypertensive medications was associated with a 23% greater reduction in the subhazard of cardiovascular death compared to those who were not prescribed these agents (subhazard ratio 0.77; 95% confidence interval 0.61 to 0.97).ConclusionsPeople who are prescribed antihypertensive medications at discharge from hospital after a stroke or TIA demonstrate better cardiovascular and all-cause survival outcomes than those not prescribed these agents.

Background Comprehensive discharge planning is important for successful transitions from hospital to home after stroke. The aim of this study was to describe the quality of discharge planning received by patients discharged home from acute care, identify factors associated with a positive discharge experience, and assess the influence of discharge quality on outcomes. Method Patients discharged to the community and registered in the Australian Stroke Clinical Registry in 2014 were invited to participate. Patient-perceived discharge quality was evaluated using the Prescriptions, Ready to re-enter community, Education, Placement, Assurance of safety, Realistic expectations, Empowerment, Directed to appropriate services questionnaire (recall at 3-9 months). Factors associated with higher discharge quality scores were identified and associations between quality scores of more than 80% and outcomes were investigated using multivariable, multilevel regression analyses. Results There were 200 of 434 eligible registrants who responded; responders and nonresponders were similar with respect to age, sex, and type of stroke. The average overall quality score was 73% (standard deviation: 21). However, only 18% received all aspects of discharge care planning. Quality scores of more than 80% were independently associated with receiving hospital specific information (odds ratio: 5.7, 95% confidence interval [CI]: 2.7, 12.4), and referral to a local support group (odds ratio: 2.5, 95% CI: 1.1, 5.9). Discharge quality scores of more than 80% were associated with higher European Quality of Life-5 Dimensions EQ-5D scores (coefficient: .1, 95% CI: .04, .2) and a reduction in the rate of unmet needs reported at 3-9 months postdischarge (incidence rate ratio: .5, 95% CI: .3, .7). Conclusion We provide new information on the quality of discharge planning from acute care after stroke. Aspects of discharge planning that correlate with quality of care may reduce unmet needs and improve quality of life outcomes.

Background: Survivors of stroke have long-term physical and psychological consequences that impact their quality of life. Few interventions are available in the community to address these problems. Yoga, a type of mindfulness-based intervention, is shown to be effective in people with other chronic illnesses and may have the potential to address many of the problems reported by survivors of stroke. Objectives: To date only narrative reviews have been published. We sought to perform, the first systematic review with meta-analyses of randomized controlled trials (RCTs) that investigated yoga for its potential benefit for chronic survivors of stroke. Methods: Ovid Medline, CINHAL plus, AMED, PubMed, PsychINFO, PeDro, Cochrane database, Sport Discuss, and Google Scholar were searched for papers published between January 1950 and August 2016. Reference lists of included papers, review articles and OpenGrey for Grey literature were also searched. We used a modified Cochrane tool to evaluate risk of bias. The methodological quality of RCTs was assessed using the GRADE approach, results were collated, and random effects meta-analyses performed where appropriate. Results: The search yielded five eligible papers from four RCTs with small sample sizes (n = 17–47). Quality of RCTs was rated as low to moderate. Yoga is beneficial in reducing state anxiety symptoms and depression in the intervention group compared to the control group (mean differences for state anxiety 6.05, 95% CI:−0.02 to 12.12; p = 0.05 and standardized mean differences for depression: 0.50, 95% CI:−0.01 to 1.02; p = 0.05). Consistent but nonsignificant improvements were demonstrated for balance, trait anxiety, and overall quality of life. Conclusions: Yoga may be effective for ameliorating some of the long-term consequences of stroke. Large well-designed RCTs are needed to confirm these findings.

ABSTRACT: The global burden of stroke is large. Over the last 15 years significant advances have been made to improve acute stroke care and prevention management providing the ability to mitigate much of this burden. In this article, we describe the importance of two main elements of stroke care: stroke units to reduce death and disability and anticoagulation therapy to prevent recurrent, often fatal or disabling, cardioembolic stroke. We also describe the issues related to translating these interventions into practice and the related economic implications. Despite the proven effectiveness and cost–effectiveness of these and other interventions, many people experiencing stroke are not receiving these interventions. Effective evidence translation initiatives and routine monitoring of healthcare is needed to address important gaps in stroke management in promoting societal well-being.

Trauma is a leading cause of morbidity and mortality, with a considerable proportion of trauma patients sustaining concomitant maxillofacial (MF) injuries. The purpose of this study was to review and analyse the epidemiology, management and complications of patients with MF fractures managed by the Faciomaxillary Surgery Unit at the Alfred Trauma Hospital in Melbourne. The secondary objective of the study was to determine the risk factors for developing postoperative complications.A retrospective records review was performed for 980 patients who were treated for MF fracture(s) from January 2009 to December 2011. Descriptive statistics were used and independent demographic and injury-related factors assessed for association with outcome using multivariate logistic regression.A total of 1949 MF fractures from 980 patients were treated over the study period. Males (n = 785, 80.10%) and patients aged 15-24 years (n = 541, 55.20%) were the most frequently affected (mean age (standard deviation, SD) 27.69 (19.22)). The most common aetiology was assault (n = 293, 29.90%). The majority presented with fractures of the orbit (n = 359, 36.33%). In total, 803 fractures from 500 patients were treated operatively. Mandibular fractures were most commonly treated surgically (79.82%). Postoperative complications occurred in 69 of 500 patients treated surgically (13.8%), most commonly due to infected metalware (n = 16, 3.20%). Multiple fractures were associated with a higher probability of requiring surgery (p0.001) and developing postoperative complications (p0.001) compared to isolated fractures.MF fractures most commonly affected young males, often as a result of an assault. Per bony injury, mandibular fractures had the greatest proportion that was managed operatively. High-energy injuries were associated with an increased risk of sustaining multiple MF fractures and developing postoperative complications.

Organizational context is one factor influencing the translation of evidence into practice, but data pertaining to patients with acute stroke are limited. We aimed to determine the associations of organizational context in relation to four important evidence-based stroke care processes.This was a mixed methods cross-sectional study. Among 19 hospitals in Queensland, Australia, a survey was conducted of the perceptions of stroke clinicians about their work using the Alberta Context Tool (ACT), a validated measure covering 10 concepts of organizational context, and with additional stroke-specific contextual questions. These data were linked to the Australian Stroke Clinical Registry (AuSCR) to determine the relationship with receipt of evidence-based acute stroke care (acute stroke unit admission, use of thrombolysis for those with acute ischemic stroke, receipt of a written care plan on discharge, and prescription of antihypertensive medications on discharge) using quantile regression. Exploratory cluster analysis was used to categorize hospitals into high and low context groups based on all of the 10 ACT concepts. Differences in adherence to care processes between the two groups were examined.A total of 215 clinicians completed the survey (50% nurses, 37% allied health staff, 10% medical practitioners), with 81% being in their current role for at least 1 year. There was good reliability (∞ 0.83) within the cohort to allow pooling of professional groups. Greater ACT scores, especially for social capital (μ 9.00, 95% confidence interval [CI] 4.86 to 13.14) and culture (μ 7.33, 95% CI 2.05 to 12.62), were associated with more patients receiving stroke unit care. There was no correlation between ACT concepts and other care processes. Working within higher compared to lower context environments was associated with greater proportions of patients receiving stroke unit care (88.5% vs. 69.0%) and being prescribed antihypertensive medication at discharge (62.5% vs. 52.0%). Staff from higher context hospitals were more likely to value medical and/or nursing leadership and stroke care protocols.Overall organizational context, and in particular aspects of culture and social capital, are associated with the delivery of some components of evidence-based stroke care, offering insights into potential pathways for improving the implementation of proven therapies.

Background Atrial fibrillation is associated with poorer outcomes poststroke. It is unclear how the quality of stroke care in hospitals influences outcomes in these patients. Aims The study aims to compare outcomes in stroke patients with and without atrial fibrillation and identify hospital processes of care associated with poor outcomes. Methods Data were collected using retrospective, consecutive medical record audits from participating hospitals in the 2009 and 2011 National Stroke Foundation acute services audit program. Patient characteristics, stroke severity, and hospital management data were compared for those with and without atrial fibrillation. Multiple regression analyses for outcomes of in-hospital death, dependency at discharge (modified Rankin Score 3–5), and discharge destination were undertaken, adjusted for patient clustering by hospital. Results Atrial fibrillation status was known for 5473 (80%) cases; 2049 had atrial fibrillation. Atrial fibrillation was independently associated with in-hospital mortality (aOR 1·46, 95% CI 1·06, 2·02). Management on a stroke unit (aOR 0·57, 95% CI 0·40, 0·80) and having a swallow assessment within 24 h (aOR 0·71, 95% CI 0·51, 0·98) were associated with increased survival among all stroke types, as was receiving aspirin within 48 h poststroke (aOR 0·65, 95% CI 0·44, 0·97), for patients with an ischemic stroke. Stroke patients with atrial fibrillation were less likely to receive important processes of care associated with reduced mortality. Conclusions Hospital processes of care can influence outcomes in stroke patients with atrial fibrillation. The greater in-hospital mortality experienced by stroke patients with atrial fibrillation may be attenuated by admission to a stroke unit, and for ischemic stroke, early administration of aspirin.

Atrial fibrillation (AF) is a major risk factor for stroke, especially in the elderly. Increased life expectancies mean that AF-related stroke is a growing global public health concern. Improvements in the detection, treatment and prevention of the consequences of AF have occurred in recent years. However, the extent to which these improvements have impacted on the prevalence of AF, the risk of AF-related stroke and subsequent economic costs are unknown. This review provides a contemporary assessment of the epidemiological data on AF-related stroke aimed at assessing the effectiveness of primary prevention strategies and associated economic implications with reductions in stroke incidence. A systematic review of the literature was performed. Appropriately designed studies were identified and retrieved. Evidence on changes in the prevalence of AF, the risk of stroke associated with AF and the excess cost of AF-related stroke over the last 30 years was summarised. The results provide evidence that the age-adjusted prevalence of AF and the relative risk of stroke associated with AF has remained relatively constant. Unless action is taken to improve detection of AF and reduce its consequences, a considerable increase in the social and economic burden associated with AF-related stroke is likely.

Background and Purpose— Uncertainty exists over whether quality improvement strategies translate into better health-related quality of life (HRQoL) and survival after acute stroke. We aimed to determine the association of best practice recommended interventions and outcomes after stroke. Methods— Data are from the Australian Stroke Clinical Registry during 2010 to 2014. Multivariable regression was used to determine associations between 3 interventions: received acute stroke unit (ASU) care and in various combinations with prescribed antihypertensive medication at discharge, provision of a discharge care plan, and outcomes of survival and HRQoL (EuroQoL 5-dimensional questionnaire visual analogue scale) at 180 days, by stroke type. An assessment was also made of outcomes related to the number of processes patients received. Results— There were 17 585 stroke admissions (median age 77 years, 47% female; 81% managed in ASUs; 80% ischemic stroke) from 42 hospitals (77% metropolitan) assessed. Cumulative benefits on outcomes related to the number of care processes received by patients. ASU care was associated with a reduced likelihood of death (hazard ratio, 0.49; 95% confidence interval, 0.43–0.56) and better HRQoL (coefficient, 21.34; 95% confidence interval, 15.50–27.18) within 180 days. For those discharged from hospital, receiving ASU+antihypertensive medication provided greater 180-day survival (hazard ratio, 0.45; 95% confidence interval, 0.38–0.52) compared with ASU care alone (hazard ratio, 0.64; 95% confidence interval, 0.54–0.76). HRQoL gains were greatest for patients with intracerebral hemorrhage who received care bundles involving discharge processes (range of increase, 11%–19%). Conclusions— Patients with stroke who receive best practice recommended hospital care have improved long-term survival and HRQoL.