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Objective: To evaluate the management in Victorian general practice of people who have been hospitalised with stroke or transient ischaemic attacks (TIA). Study design: Retrospective observational study; analysis of linked Australian Stroke Clinical Registry (AuSCR) and general practice data. Setting: 383 general practices in the Eastern Melbourne, South Eastern Melbourne, and Gippsland primary health networks (Victoria), 1 January 2014 – 31 December 2018. Participants: Adults who had been hospitalised with acute stroke or TIA and had at least two encounters with the same general practice during the observation period (7–18 months after the acute event). Main outcome measures: Assessment of cardiometabolic risk factors (blood pressure, serum lipids, blood glucose, urinary protein); prescribing of guideline‐recommended prevention medications (blood pressure‐, lipid‐, or glucose‐lowering, antithrombotic agents); attainment of guideline targets for cardiometabolic risk factors at final assessment during observation period. Results: During 2014–2018, 3376 eligible AuSCR registrants (1465 women, 43.4%) had at least two encounters with one of the 383 general practices during the observation period; median age at stroke onset was 73.9 (interquartile range, 64.4–81.9) years, 737 events were TIAs (21.8%). Blood pressure was assessed in 2718 patients (80.5%), serum lipids in 1830 (54.2%), blood glucose in 1708 (50.6%). Prevention medications were prescribed for 2949 patients (87.4%), including lipid‐lowering (2427, 71.9%) and blood pressure‐lowering agents (2363, 70.0%). Blood glucose targets had been achieved by 1346 of 1708 patients assessed for this risk factor (78.8%), blood pressure targets by 1935 of 2717 (71.2%), and serum lipid targets by 765 of 1830 (41.8%). The incidence of having risk factors assessed was lower among patients aged 60 years or younger (incidence rate ratio [IRR], 0.97; 95% confidence interval [CI], 0.92–1.03) and those over 80 years of age (IRR, 0.92; 95% CI 0.88–0.97) than for those aged 61–80 years, and for women (IRR, 0.91; 95% CI, 0.87–0.95) and people with dementia (IRR, 0.89; 95% CI, 0.81–0.98). The likelihood of having classes of prevention medication prescribed was lower for patients aged 60 years or younger (IRR, 0.92; 95% CI, 0.88–0.97) and those over 80 years of age (IRR, 0.96; 95% CI, 0.92–0.997) than for patients aged 61–80 years, and for women (IRR, 0.95; 95% CI, 0.91–0.98) and people with dementia (IRR, 0.88; 95% CI, 0.78–0.98). Conclusions: The general practice management of people who have been hospitalised with stroke or TIA could be improved. Effective monitoring of cardiometabolic risk factors will enable general practitioners to optimise care for people who need careful attention to prevent adverse secondary events. [ABSTRACT FROM AUTHOR]

Background: Currently, there are no agreed quality standards for post‐stroke aphasia services. Therefore, it is unknown if care reflects best practices or meets the expectations of people living with aphasia. We aimed to (1) shortlist, (2) operationalise and (3) prioritise best practice recommendations for post‐stroke aphasia care. Methods: Three phases of research were conducted. In Phase 1, recommendations with strong evidence and/or known to be important to people with lived experience of aphasia were identified. People with lived experience and health professionals rated the importance of each recommendation through a two‐round e‐Delphi exercise. Recommendations were then ranked for importance and feasibility and analysed using a graph theory–based voting system. In Phase 2, shortlisted recommendations from Phase 1 were converted into quality indicators for appraisal and voting in consensus meetings. In Phase 3, priorities for implementation were established by people with lived experience and health professionals following discussion and anonymous voting. Findings: In Phase 1, 23 best practice recommendations were identified and rated by people with lived experience (n = 26) and health professionals (n = 81). Ten recommendations were shortlisted. In Phase 2, people with lived experience (n = 4) and health professionals (n = 17) reached a consensus on 11 quality indicators, relating to assessment (n = 2), information provision (n = 3), communication partner training (n = 3), goal setting (n = 1), person and family‐centred care (n = 1) and provision of treatment (n = 1). In Phase 3, people with lived experience (n = 5) and health professionals (n = 7) identified three implementation priorities: assessment of aphasia, provision of aphasia‐friendly information and provision of therapy. Interpretation: Our 11 quality indicators and 3 implementation priorities are the first step to enabling systematic, efficient and person‐centred measurement and quality improvement in post‐stroke aphasia services. Quality indicators will be embedded in routine data collection systems, and strategies will be developed to address implementation priorities. Patient and Public Contribution: Protocol development was informed by our previous research, which explored the perspectives of 23 people living with aphasia about best practice aphasia services. Individuals with lived experience of aphasia participated as expert panel members in our three consensus meetings. We received support from consumer advisory networks associated with the Centre for Research Excellence in Aphasia Rehabilitation and Recovery and the Queensland Aphasia Research Centre. [ABSTRACT FROM AUTHOR]

Introduction: There is limited evidence about the management of cardiovascular risk factors within 12 months before stroke or transient ischaemic attack (TIA) in Australian general practices. We evaluated whether age and sex disparities in cardiovascular risk factor management for primary prevention exist in general practice. Methods: A retrospective cohort study using data from the Australian Stroke Clinical Registry (2014–2018) linked with general practice data from three Primary Health Networks in Victoria, Australia. We included adults who had ≥2 encounters with a general practitioner within 12 months immediately before the first stroke/TIA. Cardiovascular risk factor management within 12 months before stroke/TIA was evaluated in terms of: assessment of risk factors (blood pressure [BP], serum lipids, blood glucose, body weight); prescription of prevention medications (BP-lowering, lipid-lowering, glucose-lowering, antithrombotic agents); and attainment of risk factor targets. Results: Of 2,880 patients included (median age 76.5 years, 48.4% women), 80.9% were assessed for BP, 49.9% serum lipids, 46.8% blood glucose, and 39.3% body weight. Compared to patients aged 65–84 years, those aged <65 or ≥85 years were less often assessed for risk factors, with women aged ≥85 years assessed for significantly fewer risk factors than their male counterparts. The most prescribed prevention medications were BP-lowering (64.9%) and lipid-lowering agents (42.0%). There were significant sex differences among those aged <65 years (34.7% women vs. 40.2% men) and ≥85 years (34.0% women vs. 44.3% men) for lipid-lowering agents. Risk factor target attainment was generally poorer in men than women, especially among those aged <65 years. Conclusion: Age-sex disparity exists in risk factor management for primary prevention in general practice, and this was more pronounced among younger patients and older women. [ABSTRACT FROM AUTHOR]

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

Information on the characteristics or long-term outcomes of people with communication support needs post-stroke is limited. We investigated associations between communication gains in rehabilitation and long-term outcomes (quality-of-life [EuroQOL-ED-3 L], mortality) by post-stroke communication support need status. Retrospective cohort study using person-level linked data from the Australian Stroke Clinical Registry and the Australasian Rehabilitation Outcomes Centre (2014–2017). Communication support needs were assessed using the Functional Independence Measure™ comprehension and expression items recorded on admission indicated by scores one (total assistance) to five (standby prompting). Multivariable multilevel and Cox regression models were used to determine associations with long-term outcomes. Of 8,394 patients who received in-patient rehabilitation after stroke (42% female, median age 75.6 years), two-thirds had post-stroke communication support needs. Having aphasia (odds ratio [OR] 4.34, 95% CI 3.67–5.14), being aged ≥65 years (OR 1.21, 95% CI 1.08–1.36), greater stroke severity (unable to walk on admission; OR 1.48, 95% CI 1.32–1.68) and previous stroke (OR 1.25, 95% CI 1.11–1.41) were associated with increased likelihoods of having communication support needs. One-point improvement in FIM™ expression was associated with reduced likelihood of self-reporting problems related to mobility (OR 0.85, 95% CI: 0.80–0.90), self-care (OR 0.79, 95% CI: 0.74–0.86) or usual activities (OR 0.84, 95% CI: 0.75–0.94) at 90–180 days. Patients with communication support needs had greater mortality rates within one-year post-stroke (adjusted hazard ratio 1.99, 95% CI: 1.65–2.39). Two-thirds of patients with stroke require communication support to participate in healthcare activities. Establishing communication-accessible stroke care environments is a priority. [ABSTRACT FROM AUTHOR]

Introduction: Little is known about the cost-effectiveness of government policies that support primary care physicians to provide comprehensive chronic disease management (CDM). This paper aimed to estimate the potential cost-effectiveness of CDM policies over a lifetime for long-time survivors of stroke. Methods: A Markov model, using three health states (stable, hospitalised, dead), was developed to simulate the costs and benefits of CDM policies over 30 years (with 1-year cycles). Transition probabilities and costs from a health system perspective were obtained from the linkage of data between the Australian Stroke Clinical Registry (cohort n = 12,368, 42% female, median age 70 years, 45% had CDM claims) and government-held hospital, Medicare, and pharmaceutical claims datasets. Quality-adjusted life years (QALYs) were obtained from a comparable cohort (n = 512, 34% female, median age 69.6 years, 52% had CDM claims) linked with Medicare claims and death data. A 3% discount rate was applied to costs in Australian dollars (AUD, 2016) and QALYs beyond 12 months. Probabilistic sensitivity analyses were used to understand uncertainty. Results: Per-person average total lifetime costs were AUD 142,939 and 8.97 QALYs for those with a claim, and AUD 103,889 and 8.98 QALYs for those without a claim. This indicates that these CDM policies were costlier without improving QALYs. The probability of cost-effectiveness of CDM policies was 26.1%, at a willingness-to-pay threshold of AUD 50,000/QALY. Conclusion: CDM policies, designed to encourage comprehensive care, are unlikely to be cost-effective for stroke compared to care without CDM. Further research to understand how to deliver such care cost-effectively is needed. [ABSTRACT FROM AUTHOR]