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Background: Real-world evidence is limited on whether antihypertensive medications help avert major adverse cardiovascular events (MACE) after stroke without increasing the risk of falls. We investigated the association of adherence to antihypertensive medications on the incidence of MACE and falls requiring hospitalization after stroke. Methods: A retrospective cohort study of adults who were newly dispensed antihypertensive medications after an acute stroke (Australian Stroke Clinical Registry 2012–2016; Queensland and Victoria). Pharmaceutical dispensing records were used to determine medication adherence according to the proportion of days covered in the first 6 months poststroke. Outcomes between 6 and 18 months postdischarge included: (i) MACE, a composite outcome of all-cause death, recurrent stroke or acute coronary syndrome; and (ii) falls requiring hospitalization. Estimates were derived using Cox models, adjusted for >30 confounders using inverse probability treatment weights. Results: Among 4076 eligible participants (median age 68 years; 37% women), 55% had a proportion of days covered ≥80% within 6 months postdischarge. In the subsequent 12 months, 360 (9%) participants experienced a MACE and 337 (8%) experienced a fall requiring hospitalization. After achieving balance between groups, participants with a proportion of days covered ≥80% had a reduced risk of MACE (hazard ratio: 0.68; 95% CI: 0.54–0.84) and falls requiring hospitalization (subdistribution hazard ratio: 0.78; 95% CI: 0.62–0.98) than those with a proportion of days covered Conclusions: High adherence to antihypertensive medications within 6 months poststroke was associated with reduced risks of both MACE and falls requiring hospitalization. Patients should be encouraged to adhere to their antihypertensive medications to maximize poststroke outcomes.

To identify client and service factors associated with changes in health-related quality of life following community rehabilitation.We conducted a retrospective observational cohort study within a community rehabilitation program. Health-related quality of life was measured using the EuroQol five Dimensions, five response level version (EQ-5D-5L). Our primary outcome was the Visual Analogue Scale (VAS) rating of overall health. Analyses were stratified by diagnostic group: traumatic orthopaedic, elective orthopaedic, neurological, medical, and other. The association between client and service factors and discharge VAS scores, adjusted for baseline scores were determined using multivariable regression.EQ-5D-5L data were available for 981 of 1350 participants. Treatment intensity was associated with a seven-point increase (Treatment intensity is a modifiable service factor that may positively influence health-related quality of life.Implications for rehabilitationIn addition to providing information on client progress towards attainment of individual treatment goals, routine collection of patient reported outcome measures within a community rehabilitation program can elicit information that can inform rehabilitation service improvement.Clients of a community rehabilitation program with a neurological or medical condition demonstrate the least improvement in overall health profile and may require additional rehabilitation or supports.Across all diagnostic groups, problems with anxiety and depression were least likely to improve following receipt of community rehabilitation. Improving access to psychological services and associated referral pathways in community rehabilitation services could improve these outcomes.Initiatives aimed at increasing intensity of therapy such as targeted triage and resource allocation, may improve health-related quality of life for clients of a community rehabilitation program with traumatic orthopaedic conditions.For clients with a neurological condition, initiatives aimed at increasing intensity of therapy may improve health-related quality of life in more complex patients with comorbid health conditions.

Introduction: Observational studies are increasingly being used to provide evidence on the real-world effectiveness of medications for preventing vascular diseases, such as stroke. We investigated whether the real-world effectiveness of treatment with lipid-lowering medications after ischemic stroke is affected by prevalent-user bias. Methods: An observational cohort study of 90-day survivors of ischemic stroke using person-level data from the Australian Stroke Clinical Registry (2012–2016; 45 hospitals) linked to administrative (pharmaceutical, hospital, death) records. The use of, and adherence to (proportion of days covered Results: Of 11,217 eligible patients (median age 72 years, 42% female), 9,294 (83%) used lipid-lowering medications within 90 days post-discharge, including 5,479 new users. In both prevalent-user and new-user designs, nonusers (vs. users) had significantly greater rates of mortality (hazard ratio [HR] 2.35, 95% CI: 1.89–2.92) or all-cause readmissions (HR 1.22, 95% CI: 1.05–1.40) but not cardiovascular disease readmission. In contrast, associations between having poor (vs. good) adherence on outcomes were stronger among new users than all users. Among new users, having poor adherence was associated with greater rates of mortality (HR 1.48, 95% CI: 1.12–1.96), all-cause readmission (HR 1.14, 95% CI: 1.02–1.27), and cardiovascular disease readmission (HR 1.20, 95% CI: 1.01–1.42). Conclusions: The real-world effectiveness of treatment with lipid-lowering medications after stroke is attenuated when evaluated based on prevalent-user rather than new-user design. These findings may have implications for designing studies on the real-world effectiveness of secondary prevention medications.

Background and Purpose: Primary care physicians (PCPs) provide ongoing management after stroke. However, little is known about how best to measure physician encounters with reference to longer term outcomes. We aimed to compare methods for measuring regularity and continuity of PCP encounters, based on survival following stroke using linked healthcare data. Methods: Data from the Australian Stroke Clinical Registry (2010–2014) were linked with Australian Medicare claims from 2009 to 2016. Physician encounters were ascertained within 18 months of discharge for stroke. We calculated three separate measures of continuity of encounters (consistency of visits with primary physician) and three for regularity of encounters (distribution of service utilization over time). Indices were compared based on 1-year survival using multivariable Cox regression models. The best performing measures of regularity and continuity, based on model fit, were combined into a composite “optimal care” variable. Results: Among 10,728 registrants (43% female, 69% aged ≥65 years), the median number of encounters was 17. The measures most associated with survival (hazard ratio [95% confidence interval], Akaike information criterion [AIC], and Bayesian information criterion [BIC]) were the Continuity of Care Index (COCI, as a measure of continuity; 0.88 [0.76–1.02], p = 0.099, AIC = 13,746, BIC = 13,855) and our persistence measure of regularity (encounter at least every 6 months; 0.80 [0.67–0.95], p = 0.011, AIC = 13,742, BIC = 13,852). Our composite measure, persistent plus COCI ≥80% (24% of registrants; 0.80 [0.68–0.94], p = 0.008, AIC = 13,742, BIC = 13,851), performed marginally better than our persistence measure alone. Conclusions: Our persistence measure of regularity or composite measure may be useful when measuring physician encounters following stroke.

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: Evidence is growing on anticancer effects of statins. We investigated whether the effectiveness of treatment with statins after ischemic stroke on mortality is influenced by a history of cancer. Methods: Analyses of 90-day survivors of ischemic stroke (2012–2016; 45 hospitals) using linked registry and administrative data. Dispense of statins within 90 days postdischarge was determined from pharmaceutical records. Participants were followed from 91 days postdischarge until death or June 30, 2018. History of cancer was determined from hospital data. Propensity score–adjusted Cox proportional hazards regression model was used to determine the association between being dispensed statins and survival. The influence of history of cancer on this association was assessed based on the concepts of (1) statistical interaction and (2) biological interaction using 3 indices: relative excess risk due to interaction>0, attributable proportion due to interaction >0, or synergy index >1. Results: Among 9948 eligible participants (median age=72 years, 42% female), there were 1463 deaths. In adjusted analyses, there was no statistical interaction between being dispensed statins and history of cancer on mortality ( P =0.156). However, being dispensed statins had a significant positive biological interaction with having a history of cancer on mortality: relative excess risk due to interaction, 2.80 (95% CI, 1.56–5.05), attributable proportion due to interaction, 0.45 (95% CI, 0.23–0.66), and synergy index, 2.14 (95% CI, 1.32–3.49). Conclusions: Treatment with statins after ischemic stroke may confer additional survival benefits for people who also have had cancer.

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.

Anxiety and depression are common post-stroke and impact quality-of-life (QoL). The EQ-5D three-level version (EQ-5D-3L) is increasingly used to routinely measure health-related QoL in stroke populations, but its potential value for detecting anxiety or depression is uncertain. We sought to examine the agreement and convergent validity of the EQ-5D-3L anxiety or depression domain in survivors of stroke.Cross-sectional survey data obtained from participants in the Australian Stroke Clinical Registry (AuSCR) between 90 and 180 days after stroke were used. Correlation, sensitivity, specificity, and the area under the curve were calculated for the EQ-5D-3L anxiety or depression domain against the Hospital Anxiety Depression Scale (HADS, reference standard), which has been validated as a screening measure following stroke.Data were obtained from 245 respondents (median time post-stroke 143 days), median age 74 years; 42% female. Nearly 50% reported problems (43% moderate; 7% extreme) in the EQ-5D-3L anxiety or depression domain. The median HADS-Anxiety score was 6 (Q1:3, Q3:9), and the median HADS-Depression score was 5 (Q1:2, Q3:9). The EQ-5D-3L anxiety or depression scores were strongly correlated (r = 0.58) with scores of the HADS-Anxiety, but moderately correlated with HADS-Depression (r = 0.37), and combined HADS-Anxiety or HADS-Depression (r = 0.46). The EQ-5D-3L anxiety or depression domain had greater sensitivity and specificity in identifying cases with anxiety than in identifying depressive symptoms in survivors of stroke.The EQ-5D-3L appears to have value as a population level indicator of anxiety or depression following stroke. Further validation against "gold standard" clinical assessment is required for clinical applications.

Background Stroke is a high-cost condition. Detailed patient-level assessments of the costs of care received and outcomes achieved provide useful information for organisation and optimisation of the health system. Objectives To describe the costs of hospital care for stroke and transient ischaemic attack (TIA) and investigate factors associated with costs. Methods Retrospective cohort study using data from the Australian Stroke Clinical Registry (AuSCR) collected between 2009 and 2013 linked to hospital administrative data and clinical costing data in Queensland. Clinical costing data include standardised assignment of costs from hospitals that contribute to the National Hospital Costing programme. Patient-level costs for each hospital admission were described according to the demographic, clinical and treatment characteristics of patients. Multivariable median regression with clustering by hospital was used to determine factors associated with greater costs. Results Among 22 hospitals, clinical costing data were available for 3909 of 5522 patient admissions in the AuSCR (71%). Compared to those without clinical costing data, patients with clinical costing data were more often aged Conclusion Medical and nursing costs were incurred by most patients admitted with stroke or TIA, and were relatively more expensive on average than other cost buckets such as imaging and allied health. Implications Scaling this data linkage to national data collections may provide valuable insights into activity-based funding at public hospitals. Regular report of these costs should be encouraged to optimise economic evaluations.

Background 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.

To describe types of mental health treatment accessed by community-based stroke survivors and factors associated with access. A sub-group of registrants from the Australian Stroke Clinical Registry completed a supplementary survey 2.5 years post-stroke. Self-reported information about depression/anxiety and treatment access were collected. Demographic and clinical data were obtained through linkages with registry and government data. Staged multivariable logistic regression was conducted to examine factors associated with treatment access. Among 623 registrants surveyed (37% female, median age 69 years), 26% self-reported a medical diagnosis of depression/anxiety at 2.5 years post-stroke. Of these, only 30% reported having accessed mental health services, mostly through government-funded Medicare schemes. Younger age (odds ratio (OR) 0.95, 95% CI 0.93, 0.98), history of mental health treatment (OR 3.38, 95% CI 1.35, 8.48), feeling socially isolated (OR 2.32, 95% CI 1.16, 4.66), self-reported medical diagnosis of depression/anxiety (OR 4.85, 95% CI 2.32, 10.14), and government-subsidised team care plan arrangement (OR 4.05, 95% CI 1.96, 8.37) were associated with receiving treatment. Many stroke survivors have untreated depression/anxiety. Primary care practitioners should be supported in undertaking effective detection and management. Older and newly diagnosed individuals should be educated about depression/anxiety and available supports.Implications for rehabilitationPrimary care providers play a pivotal role in the pathway to mental health care, and therefore should always screen for depression/anxiety and provide comprehensive assessment and referral to specialist services where necessary.Targeted psychoeducation should be provided to survivors of stroke who are older and newly diagnosed with depression/anxiety, to increase awareness about mood problems following stroke.Primary care providers should collaborate with other health professionals (e.g., through coordinating a team care arrangement plan), to address patients��� multiple and complex rehabilitation needs.Rehabilitation professionals should remain informed about current evidence-based treatments for post-stroke depression/anxiety and pathways that enable their patients to access these services. Primary care providers play a pivotal role in the pathway to mental health care, and therefore should always screen for depression/anxiety and provide comprehensive assessment and referral to specialist services where necessary. Targeted psychoeducation should be provided to survivors of stroke who are older and newly diagnosed with depression/anxiety, to increase awareness about mood problems following stroke. Primary care providers should collaborate with other health professionals (e.g., through coordinating a team care arrangement plan), to address patients��� multiple and complex rehabilitation needs. Rehabilitation professionals should remain informed about current evidence-based treatments for post-stroke depression/anxiety and pathways that enable their patients to access these services.

Background There is limited evidence regarding the optimal design and composition of multifaceted quality improvement programs to improve acute stroke care. The researchers aimed to test the effectiveness of a co-designed multifaceted intervention (STELAR: Shared Team Efforts Leading to Adherence Results) directed at hospital clinicians for improving acute stroke care tailored to the local context using feedback of national registry indicator data. Methods STELAR was a stepped-wedge cluster trial (partial randomization) using routinely collected Australian Stroke Clinical Registry data from Victorian hospitals segmented in two-month blocks. Each hospital (cluster) contributed control data from May 2017 and data for the intervention phase from July 2017 until September 2018. The intervention was multifaceted, delivered predominantly in two educational outreach workshops by experienced, external improvement facilitators, consisting of (1) feedback of registry data to identify practice gaps and (2) interprofessional education, barrier assessment, and documentation of an agreed action plan initiated by local clinical leaders appointed as change champions for prioritized clinical indicators. The researchers provided additional outreach support by e-mail/telephone for two months. Multilevel, multivariable regression models were used to assess change in a composite outcome of indicators selected for actions plans (primary outcome) and individual indicators (secondary outcome). Patient survival and disability 90–180 days after stroke were also compared. Results Nine hospitals (clusters) participated, and 144 clinicians attended 18 intervention workshops. The control phase included 1,001 patients (median age 76.7 years; 47.4% female, 64.7% ischemic stroke), and the intervention phase 2,146 patients (median age 74.9 years; 44.2% female, 73.8% ischemic stroke). Compared to the control phase, the median score for the composite outcome for the intervention phase was 17% greater for the indicators included in the hospitals’ action plans (range 3% to 30%, p = 0.016) and overall for the 10 indicators 6% greater (range 3% to 10%, p < 0.001). Compared to the control phase, patients in the intervention phase more often received stroke unit care (odds ratio [OR] 1.39, 95% confidence interval [CI] 1.05–1.84), were discharged on antithrombotic medications (OR 1.87, 95% CI 1.50–2.33), and received a discharge care plan (OR 1.27, 95% CI 1.05–1.53). Patient outcomes were unchanged. Conclusion External quality improvement facilitation using workshops and remote support, aligned with routine monitoring via registries, can improve acute stroke care.

To appraise the measurement properties of generic patient-reported outcome measures (PROMs) measuring postoperative quality of life in adults undergoing elective abdominal surgery.We conducted a systematic review of PROMs administered after elective abdominal surgery. We systematically searched Ovid MEDLINE, Embase, the Cumulative Index to NursingAllied Health Literature database, and the Cochrane Library from earliest available dates to July 24, 2021, using relevant search terms. Articles were included if they reported assessment of measurement properties of a generic PROM/s measuring postoperative quality of life in adults who had undergone elective abdominal surgery. We used the Consensus-based Standards for the selection of health status Measurement Instruments (COSMIN) Risk of Bias checklist to assess methodological quality. We synthesized the data and used the COSMIN criteria for good measurement properties and the Grading of Recommendations, Assessment, Development and Evaluations criteria to rate the certainty of evidence.Of 12,121 identified articles, nine articles assessing five PROMs (SF-6D, EQ-5D, SF-36, SF-12, PROMIS-10) met inclusion criteria. Measurement properties assessed included internal consistency (n = 2), construct validity (n = 5), and responsiveness (n = 8). Two PROMs had high quality evidence for a single measurement property each. The SF-6D demonstrated high quality evidence for responsiveness and the EQ-5D had high quality evidence for construct validity.There is insufficient evidence to support the choice of a specific generic PROM to evaluate quality of life following elective abdominal surgery. Clinicians and researchers should be aware of the current limitations in knowledge of the measurement properties of available PROMs.

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.

It is unclear whether survivors of stroke or transient ischemic attack (TIA) routinely receive, and understand, education about secondary prevention medications.To investigate whether survivors of stroke/TIA understand explanations about their prescribed prevention medications and associations with medication adherence, control of risk factors, and unmet needs.A survey was administered among survivors of stroke/TIA (random sample N = 1500) from the Australian Stroke Clinical Registry (Victoria and Queensland, 2016). Participants reported whether they understood explanations about each prescribed medication, as well as their unmet needs, perceived control of risk factors, and 30-day medication adherence. Linked pharmacy claims data were also used to determine medication adherence in the previous two years (proportion of days covered ≥80%). Outcomes were analyzed using multivariable logistic regression or multivariable negative binomial regression for frequency of unmet needs.Overall, 630/1455 eligible survivors completed the survey at ≈2.5 years post-admission (median age 69 years; 37% female). Most participants reported using prevention medications (76% antihypertensive; 84% antithrombotic; 76% lipid-lowering) but only 66-75% reported they understood explanations about their medication (75% antihypertensive; 66% antithrombotic; 74% lipid-lowering). Participants who understood explanations about their medication more often reported 30-day adherence for antihypertensive (adjusted odds ratios [aOR]: 1.96; 95% CI: 1.20-3.19), antithrombotic (aOR: 2.03; 95% CI: 1.31-3.14) and lipid-lowering medications (aOR: 1.73; 95% CI: 1.08-2.76). Similar associations were observed for antihypertensive and antithrombotic medications when pharmacy claims data were used to infer 2-year medication adherence. Understanding explanations about medications was also associated with perceived control of risk factors (hypertension: aOR: 11.08; 95% CI: 6.04-20.34; cholesterol aOR: 8.26; 95% CI: 4.72-14.47) and up to 33% fewer unmet needs related to secondary prevention.Expanded efforts are needed to improve the delivery of information about prevention medications to promote medication adherence, control of risk factors, and potentially prevent unmet needs following stroke/TIA.

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.

Background and Purpose: Conditions associated with frailty are common in people experiencing stroke and may explain differences in outcomes. We assessed associations between a published, generic frailty risk score, derived from administrative data, and patient outcomes following stroke/transient ischemic attack; and its accuracy for stroke in predicting mortality compared with other measures of clinical status using coded data. Methods: Patient-level data from the Australian Stroke Clinical Registry (2009–2013) were linked with hospital admissions data. We used International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes with a 5-year look-back period to calculate the Hospital Frailty Risk Score (termed Frailty Score hereafter) and summarized results into 4 groups: no-risk (0), low-risk (1–5), intermediate-risk (5–15), and high-risk (>15). Multilevel models, accounting for hospital clustering, were used to assess associations between the Frailty Score and outcomes, including mortality (Cox regression) and readmissions up to 90 days, prolonged acute length of stay (>20 days; logistic regression), and health-related quality of life at 90 to 180 days (quantile regression). The performance of the Frailty Score was then compared with the Charlson and Elixhauser Indices using multiple tests (eg, C statistics) for predicting 30-day mortality. Models were adjusted for covariates including sociodemographics and stroke-related factors. Results: Among 15 468 adult patients, 15% died ≤90 days. The frailty scores were 9% no risk; 23% low, 45% intermediate, and 22% high. A 1-point increase in frailty (continuous variable) was associated with greater length of stay (OR adjusted , 1.05 [95% CI, 1.04 to 1.06), 90-day mortality (HR adjusted , 1.04 [95% CI, 1.03 to 1.05]), readmissions (OR adjusted , 1.02 [95% CI, 1.02 to 1.03]; and worse health-related quality of life (median difference, −0.010 [95% CI −0.012 to −0.010]). Adjusting for the Frailty Score provided a slightly better explanation of 30-day mortality (eg, larger C statistics) compared with other indices. Conclusions: Greater frailty was associated with worse outcomes following stroke/transient ischemic attack. The Frailty Score provides equivalent precision compared with the Charlson and Elixhauser indices for assessing risk-adjusted outcomes following stroke/transient ischemic attack.

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

Objectives: To describe the patterns of personal emergency response systems (PERS) use in a statewide cohort of older Australians. Methods: PERS data from clients enrolled in the Personal Alarm Victoria program between January 2014 and June 2017 were analysed. Alarm activation reasons were extracted, and a medical record audit was performed for a sub-cohort of patients admitted to a local hospital following an alarm event. Descriptive statistics were used. Results: There were 42,180 clients enrolled during the study (mean age 80 years, 80% female, 93% living alone). An ambulance attended 44% of the fall-related events and 81% of events coded as unwell. Activation reasons were distributed equally between a fall and feeling unwell, and a repeating pattern of activation reasons was observed. In our sub-cohort (n = 92), the majority of admissions (86%) followed an alarm activation coded as unwell. Conclusion: We demonstrated recurring patterns associated with the reasons for alarm use.

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.