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Structured health system-based programs, such as cardiac rehabilitation, may reduce the risk of recurrent stroke. This study aimed to co-design and evaluate a structured program of rehabilitation, developed based on insights from focus groups involving stroke survivors and health professionals. Conducted in Tasmania, Australia in 2019, the 7-week program comprised one hour of group exercise and one hour of education each week. Functional capacity (6 min walk test), fatigue, symptoms of depression (Patient Health Questionnaire), and lifestyle were assessed pre- and post-program, with a historical control group for comparison. Propensity score matching determined the average treatment effect (ATE) of the program. Key themes from the co-design focus groups included the need for coordinated care, improved psychosocial management, and including carers and peers in programs. Of the 23 people approached, 10 participants (70% men, mean age 67.4 ± 8.6 years) completed the program without adverse events. ATE analysis revealed improvements in functional capacity (139 m, 95% CI 44, 234) and fatigue (-5 units, 95% CI -9, -1), with a small improvement in symptoms of depression (-0.8 units, 95% CI -1.8, 0.2) compared to controls. The co-designed program demonstrated feasibility, acceptability, and positive outcomes, suggesting its potential to support stroke survivors.

Background and Purpose: Changes to hospital systems were implemented from March 2020 in Australia in response to the coronavirus disease 2019 pandemic, including decreased resources allocated to stroke units. We investigate changes in the quality of acute care for patients with stroke or transient ischemic attack during the pandemic according to patients' treatment setting (stroke unit or alternate ward)., Methods: We conducted a retrospective cohort study of patients admitted with stroke or transient ischemic attack between January 2019 and June 2020 in the Australian Stroke Clinical Registry (AuSCR). The AuSCR monitors patients' treatment setting, provision of allied health and nursing interventions, prescription of secondary prevention medications, and discharge destination. Weekly trends in the quality of care before and during the pandemic period were assessed using interrupted time series analyses., Results: In total, 18,662 patients in 2019 and 8,850 patients in 2020 were included. Overall, 75% were treated in stroke units. Before the pandemic, treatment in a stroke unit was superior to alternate wards for the provision of all evidence-based therapies assessed. During the pandemic period, the proportion of patients receiving a swallow screen or assessment, being discharged to rehabilitation, and being prescribed secondary prevention medications decreased by 0.58% to 1.08% per week in patients treated in other ward settings relative to patients treated in stroke units. This change represented a 9% to 17% increase in the care gap between these treatment settings during the period of the pandemic that was evaluated (16 weeks)., Conclusions: During the first 6 months of the pandemic, widening care disparities between stroke units and alternate wards have occurred.

Objective: To compare the processes and outcomes of care in patients who had a stroke treated in urban versus rural hospitals in Australia., Design: Observational study using data from a multicentre national registry., Setting: Data from 50 acute care hospitals in Australia (25 urban, 25 rural) which participated in the Australian Stroke Clinical Registry during the period 2010-2015., Participants: Patients were divided into two groups (urban, rural) according to the Australian Standard Geographical Classification Remoteness Area classification. Data pertaining to 28 115 patients who had a stroke were analysed, of whom 8159 (29%) were admitted to hospitals located within rural areas., Primary and Secondary Outcome Measures: Regional differences in processes of care (admission to a stroke unit, thrombolysis for ischaemic stroke, discharge on antihypertensive medication and provision of a care plan), and survival analyses up to 180 days and health-related quality of life at 90-180 days., Results: Compared with those admitted to urban hospitals, patients in rural hospitals less often received thrombolysis (urban 12.7% vs rural 7.5%, p<0.001) or received treatment in stroke units (urban 82.2% vs rural 76.5%, p<0.001), and fewer were discharged with a care plan (urban 61.3% vs rural 44.7%, p<0.001). No significant differences were found in terms of survival or overall self-reported quality of life., Conclusions: Rural access to recommended components of acute stroke care was comparatively poorer; however, this did not appear to impact health outcomes at approximately 6 months., Competing Interests: Competing interests: DAC is the data custodian for the Australian Stroke Clinical Registry and is supported by a National Health and Medical Research Council fellowship (1154273). She has received grants paid to her institution from Stroke Foundation, Melbourne Health, Victorian Government, Queensland Government, Tasmanian Government, South Australian Government, Western Australian Government, Boehringer Ingelheim, Medtronic, Pfizer, Amgen and Shire. NAL is the Chair of the Management Committee of the Australian Stroke Clinical Registry and a member of the Stroke Foundation Clinical Council; NAL is supported by a Heart Foundation fellowship (102055)., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

We present information on acute stroke care for the first wave of the COVID-19 pandemic in Australia using data from the Australian Stroke Clinical Registry (AuSCR). The first case of COVID-19 in Australia was recorded in late January 2020 and national restrictions to control the virus commenced in March. To account for seasonal effects of stroke admissions, patient-level data from the registry from January to June 2020 were compared to the same period in 2019 (historical-control) from 61 public hospitals. We compared periods using descriptive statistics and performed interrupted time series analyses. Perceptions of stroke clinicians were obtained from 53/72 (74%) hospitals participating in the AuSCR (80% nurses) via a voluntary, electronic feedback survey. Survey data were summarized to provide contextual information for the registry-based analysis. Data from the registry covered locations that had 91% of Australian COVID-19 cases to the end of June 2020. For the historical-control period, 9,308 episodes of care were compared with the pandemic period (8,992 episodes). Patient characteristics were similar for each cohort (median age: 75 years; 56% male; ischemic stroke 69%). Treatment in stroke units decreased progressively during the pandemic period (control: 76% pandemic: 70%, p < 0.001). Clinical staff reported fewer resources available for stroke including 10% reporting reduced stroke unit beds. Several time-based metrics were unchanged whereas door-to-needle times were longer during the peak pandemic period (March-April, 2020; 82 min, control: 74 min, p = 0.012). Our data emphasize the need to maintain appropriate acute stroke care during times of national emergency such as pandemic management., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Cadilhac, Kim, Tod, Morrison, Breen, Jaques, Grimley, Jones, Cloud, Kleinig, Hillier, Castley, Lindley, Lannin, Middleton, Yan, Hill, Clissold, Mitchell, Anderson, Faux, Campbell and the AuSCR COVID-19 Reporting Consortium Group.)

Background and Purpose: Women may receive stroke care less often than men. We examined the contribution of clinical care on sex differences and health-related quality of life (HRQoL) after stroke., Methods: We included first-ever strokes registered in the Australian Stroke Clinical Registry (2010-2014) with HRQoL assessed between 90 and 180 days after onset (EQ-5D-3L instrument) that were linked to hospital administrative data (up to 2013). Study factors included sociodemographics, comorbidities, walking ability on admission (stroke severity proxy) and clinical care (e.g. stroke unit care). Responses to the EQ-5D-3L were transformed into a total utility value (-0.516 'worse than death' to 1 'best' health). Quantile regression models, adjusted for confounding factors, were used to determine median differences (MD) in utility scores by sex., Results: Approximately 60% (6852/11 418) of stroke survivors had an EQ-5D-3L assessment (median 139 days; 44% female). Compared with men, women were older (median age 77.1 years vs. men 71.2 years) and fewer could walk on admission (37.9% vs. men 46.1%, P < 0.001). Women had lower utility values than men, and the difference was explained by age and stroke severity, but not clinical care [MD adjusted = -0.039, 95% confidence interval: -0.056, -0.021]. Poorer HRQoL was observed in younger men (aged <65 years), particularly those with more comorbidities, and in older women (aged ≥75 years)., Conclusions: Stroke severity and comorbidities contribute to the poorer HRQoL in young men and older women. Further studies are needed to understand age-sex interaction to better inform treatments for different subgroups and ensure evidence-based treatments to reduce the severity of stroke are prioritized., (© 2020 European Academy of Neurology.)

Background: Advances in stroke management such as acute stroke units and thrombolysis are not uniformly distributed throughout our population, with rural areas being relatively disadvantaged. It remains unclear, however, whether such disparities have led to corresponding differences in patient outcomes., Aims: To describe the regional differences in acute ischaemic stroke care and outcomes within the Australian state of Tasmania., Methods: A retrospective case note audit was used to assess the care and outcomes of 395 acute ischaemic stroke patients admitted to Tasmania's four major public hospitals. Sixteen care processes were recorded, which covered time-critical treatment, allied health interventions and secondary prevention. Outcome measures were assessed using 30-day mortality and discharge destination, both of which were analysed for differences between urban and rural hospitals using logistic regression., Results: No patients in rural hospitals were administered thrombolysis; these hospitals also did not have acute stroke units. With few exceptions, patients' access to the remaining care indicators was comparable between regions. After adjusting for confounders, there were no significant differences between regions in terms of 30-day mortality (odds ratio (OR) = 0.99, 95% confidence interval (CI) 0.46-2.18) or discharge destination (OR = 1.24, 95% CI 0.81-1.91)., Conclusions: With the exception of acute stroke unit care and thrombolysis, acute ischaemic stroke care within Tasmania's urban and rural hospitals was broadly similar. No significant differences were found between regions in terms of patient outcomes. Future studies are encouraged to employ larger data sets, which capture a broader range of urban and rural sites and record patient outcomes at extended interval., (© 2019 Royal Australasian College of Physicians.)

Objectives: Hospital data used to assess regional variability in disease management and outcomes, including mortality, lack information on disease severity. We describe variance between hospitals in 30-day risk-adjusted mortality rates (RAMRs) for stroke, comparing models that include or exclude stroke severity as a covariate., Design: Cohort design linking Australian Stroke Clinical Registry data with national death registrations. Multivariable models using recommended statistical methods for calculating 30-day RAMRs for hospitals, adjusted for demographic factors, ability to walk on admission, stroke type, and stroke recurrence., Setting: Australian hospitals providing at least 200 episodes of acute stroke care, 2009-2014., Main Outcome Measures: Hospital RAMRs estimated by different models. Changes in hospital rank order and funnel plots were used to explore variation in hospital-specific 30-day RAMRs; that is, RAMRs more than three standard deviations from the mean., Results: In the 28 hospitals reporting at least 200 episodes of care, there were 16 218 episodes (15 951 patients; median age, 77 years; women, 46%; ischaemic strokes, 79%). RAMRs from models not including stroke severity as a variable ranged between 8% and 20%; RAMRs from models with the best fit, which included ability to walk and stroke recurrence as variables, ranged between 9% and 21%. The rank order of hospitals changed according to the covariates included in the models, particularly for those hospitals with the highest RAMRs. Funnel plots identified significant deviation from the mean overall RAMR for two hospitals, including one with borderline excess mortality., Conclusions: Hospital stroke mortality rates and hospital performance ranking may vary widely according to the covariates included in the statistical analysis.

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., (© 2017 American Heart Association, Inc.)

Background: Given the potential differences in etiology and impact, the treatment and outcome of younger patients (aged 18-64 years) require examination separately to older adults (aged ≥65 years) who experience acute stroke., Methods: Data from the Australian Stroke Clinical Registry (2010-2015) including demographic and clinical characteristics, provision of evidence-based therapies and health-related quality of life (HRQoL) post-stroke was used. Descriptive statistics and multilevel regression models were used for group comparisons., Results: Compared to older patients (age ≥65 years) among 26,220 registrants, 6,526 (25%) younger patients (age 18-64 years) were more often male (63 vs. 51%; p < 0.001), born in Australia (70 vs. 63%; p < 0.001), more often discharged home from acute care (56 vs. 38%; p < 0.001), and less likely to receive antihypertensive medication (61 vs. 73%; p < 0.001). Younger patients had a 74% greater odds of having lower HRQoL compared to an equivalent aged-matched general population (adjusted OR 1.74, 95% CI 1.56-1.93, p < 0.001)., Conclusions: Younger stroke patients exhibited distinct differences from their older counterparts with respect to demographic and clinical characteristics, prescription of antihypertensive medications and residual health status., (© 2017 S. Karger AG, Basel.)

Objective: Accurate prediction of neurologic outcome after hypoxic coma is important. Previous systematic reviews have not used summary statistics to summarize and formally compare the accuracy of different prognostic tests. We therefore used summary receiver operating characteristic curve (SROC) and cluster regression methods to compare motor and pupillary responses with sensory evoked potential (SEP) and EEG in predicting outcome after hypoxic coma., Methods: We searched PubMed, MEDLINE, and Embase (1966-2007) for reports in English, German, and French and identified 25 suitable studies. An SROC was constructed for each marker (SEP, EEG, M1 and M < or = 3), and the area under the curve (AUC), a measure of diagnostic accuracy, was determined. For comparison, we calculated the differences between the AUC for each test and M1 reference standard., Results: The AUC for absent SEP was larger than those for M1, M < or = 3, absent pupillary response, and EEG when the examinations were performed within the first 24 hours. The difference between the AUC for SEP (AUC 0.891) and that for M1 (AUC 0.786) was small (0.105, 95% confidence interval 0.023-0.187), only reaching significance on day 1 after coma onset. The use of M < or = 3 improved the diagnostic accuracy of motor signs., Conclusions: This study demonstrated that sensory evoked potential (SEP) is marginally better than M1 at predicting outcome after hypoxic coma. However, the superiority of SEP diminishes after day 1 and when M < or = 3 is used. The findings therefore caution against the tendency to generalize that SEP is a better marker than clinical signs.