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Background: Primary care is usually the entry point for preventing cardiovascular disease (CVD). Quality indicators can be used to assess and monitor the quality of care provided in a primary care setting. In this systematic review, we aimed to identify, summarise, and assess the methodological quality of indicators reported in the articles for the primary prevention of CVD in primary care. Methods: We searched Ovid MEDLINE, Ovid EMBASE, CINAHL Plus, SCOPUS, and grey literature for articles containing quality indicators published in English language. Quality indicators were categorised using the Donabedian framework: Structure (organisation of care), Process (assessment of metabolic risk factors, global risk assessment, lifestyle management, prescription of medications, risk communication/advice, referral), and Outcome (attainment of risk factor targets). Articles were reviewed by two authors, using the Appraisal of Indicators through Research and Evaluation (AIRE) instrument, where a score of ≥50% for each domain indicated strong methodological quality (e.g., stakeholder involvement). Results: We identified 282 articles for full-text review; 57 articles were included for extraction. A total of 726 (681 unique) quality indicators were extracted. Three out of four (76%) were process indicators (56 articles), followed by 15% outcome indicators (40 articles), and 9% structure indicators (12 articles). One-third of process indicators were related to the assessment of metabolic risk factors (222/726 indicators, 41 articles), followed by lifestyle management (153/726 indicators, 39 articles), prescription of medications (122/726 indicators, 37 articles), and global risk assessment (27/726, 14 articles). Few indicators were related to risk communication/advice (20/726 indicators, 7 articles) and referral (9/726 indicators, 6 articles). Only 26/57 (46%) articles were found to have strong methodological quality. Conclusion: We summarised and appraised the methodological quality of indicators for the primary prevention of CVD. The next step requires prioritising a minimum set of quality indicators to encourage standardised collection and monitoring across countries. [ABSTRACT FROM AUTHOR]

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]

Introduction: People with dementia of all ages have a human right to equal access to quality health care. Despite evidence regarding its effectiveness, many people living with dementia are unable to access rehabilitation for promoting function and quality of life. Conducted in Australia, this study was designed to (1) explore barriers to access to dementia rehabilitation and (2) identify solutions that improve access to rehabilitation. Methods: People living with dementia (n = 5) and care partners (n = 8) and health professionals (n = 13) were recruited nationally. Experience‐based codesign across three virtual workshops was used to understand barriers and design solutions to improve access to rehabilitation treatments. Socio‐ecological analyses, using the Levesque Access to Health care framework, were applied to findings regarding barriers and to aid selection of solutions. Results: There was high attendance (92.3%) across the three workshops. Barriers were identified at a user level (including lack of knowledge, transport, cost and difficulty navigating the health, aged care and disability sectors) and health service level (including health professional low dementia knowledge and negative attitudes, inequitable funding models and non‐existent or fragmented services). Solutions focused on widespread dementia education and training, including ensuring that people with dementia and their care partners know about rehabilitation therapies and that health professionals, aged care and disability co‐ordinators know how to refer to and deliver rehabilitation interventions. Dementia care navigators, changes to Australia's public funding models and specific dementia rehabilitation programmes were also recommended. Conclusions: Barriers to accessing rehabilitation for people with dementia exist at multiple levels and will require a whole‐community and systems approach to ensure change. Patient or Public Contribution: People with living experience (preferred term by those involved) were involved at two levels within this research. A Chief Investigator living with dementia was involved in the design of the study and writing of the manuscript. People with living experience, care partners and service providers were participants in the codesign process to identify barriers and design potential solutions. [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]

Purpose: To explore staff perceptions of barriers and enablers towards implementing the EQ-5D-5L in community rehabilitation, and develop a theory-informed implementation approach for routine administration of generic patient-reported outcome measures (PROMs) using implementation science frameworks. Materials and methods: A qualitative study was conducted at three sites. Multidisciplinary rehabilitation staff completed individual semi-structured interviews, which were transcribed and coded against the Theoretical Domains Framework (TDF). We identified and selected potentially effective behaviour change techniques using the Behavior Change Wheel. Hypothetical strategies were operationalised. Results: Twenty-one interviews were conducted, and four themes emerged: (1) The Impact of PROMs on patient centered-care; (2) Considerations for validity of PROMs; (3) Service-level impact of embedding PROMs; (4) Practical issues of embedding PROMs within the service. Barriers and enablers were mapped to seven of the TDF domains; relating most to clinicians' "belief about consequences", "reinforcement", and "environmental context and resources". Five hypothetical strategies were developed to overcome identified barriers and strengthen enablers. Key behaviour change techniques underpinning the strategies include: restructuring the physical environment, incentivisation, persuasion and education, enablement, and, social support. Conclusions: Our implementation approach highlights the importance of automating processes, engaging site champions, routinely reporting, and using PROM data to inform service provision. IMPLICATIONS FOR REHABILITATION: Implementation of patient reported outcome measures within multidiscipline rehabilitation settings are likely optimised by establishing infrastructure support e.g., information technology systems to automate the process and minimise manual aspects of data collection. Engaging site champions may be an important enabler for the routine collection of patient reported outcome measures Providing feedback to clinicians on aggregated results of patient reported outcome measures are likely to motivate and encourage routine collection. [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]

Aim: To examine associations of neighborhood greenery, air pollution and walkability with cardiometabolic disease in adults aged ≥45 years in the Frankston–Mornington Peninsula region, Victoria, Australia. Methods: A cross‐sectional, ecological study design was used. We assessed mean annual neighborhood greenery using the Normalized Difference Vegetation Index; air pollution (fine particulate matter of diameter ≤2.5 μm [PM2.5] and NO2) using land‐use regression models; and walkability using Walk Score (possible values 0–100). Medically diagnosed diabetes (~95% type‐2), heart disease and stroke were self‐reported in the Australian Census (2021). Multivariable regression was used to model associations between environmental exposures and area‐level (neighborhood) cardiometabolic disease prevalence (age group ≥45 years), with socioeconomic status, age and sex as covariates. Air pollution was examined as a mediator of associations between greenery and disease prevalence. Results: Our sample comprised 699 neighborhoods with the following mean (SD) values: Normalized Difference Vegetation Index 0.47 (0.09), PM2.5, 8.5 (0.6) μg/m3 and NO2, 5.2 (1.6) ppb. Disease prevalences were: heart disease, mean 8.9% (4.5%); diabetes, mean 10.3% (4.7%); and stroke, median 1.2% (range 0–10.9%). Greenery was negatively associated with diabetes (β = −5.85, 95% CI −9.53, −2.17) and stroke prevalence (β = −1.26, 95% CI −2.11, −0.42). PM2.5 and NO2 were positively associated with diabetes (β = 1.59, 95% CI 1.00, 2.18; β = 0.42, 95% CI 0.22, 0.62) and stroke prevalence (β = 0.15, 95% CI 0.01, 0.29; β = 0.06, 95% CI 0.01, 0.10). The association between greenery and diabetes was partially mediated by PM2.5 (mediated effect −5.38, 95% CI −7.84, −3.03). Conclusions: Greenery and air pollutants were associated with lower and higher prevalence, respectively, of self‐reported diabetes and, to a lesser extent, stroke. These ecological findings require further exploration with stronger, longitudinal study designs to inform public health policy and directions. Geriatr Gerontol Int 2024; 24: 208–214. [ABSTRACT FROM AUTHOR]

Introduction: Survivors of stroke are at risk of experiencing subsequent major adverse cardiovascular events (MACE). We aimed to determine the incidence of, and risk factors for, MACE after first-ever ischemic stroke, by age group (18–64 years vs. ≥65 years). Methods: Observational cohort study using patient-level data from the Australian Stroke Clinical Registry (2009–2013), linked with hospital administrative data. We included adults with first-ever ischemic stroke who had no previous acute cardiovascular admissions and followed these patients for 2 years post-discharge, or until the first post-stroke MACE event. A Fine-Gray sub-distribution hazard model, accounting for the competing risk of non-cardiovascular death, was used to determine factors for incident post-stroke MACE. Results: Among 5,994 patients with a first-ever ischemic stroke (median age 73 years, 45% female), 17% were admitted for MACE within 2 years (129 events per 1,000 person-years). The median time to first post-stroke MACE was 117 days (89 days if aged <65 years vs. 126 days if aged ≥65 years; p = 0.025). Among patients aged 18–64 years, receiving intravenous thrombolysis (sub-distribution hazard ratio [SHR] 0.51 [95% CI, 0.28–0.92]) or being discharged to inpatient rehabilitation (SHR 0.65 [95% CI, 0.46–0.92]) were associated with a reduced incidence of post-stroke MACE. In those aged ≥65 years, being unable to walk on admission (SHR 1.33 [95% CI 1.15–1.54]), and history of smoking (SHR 1.40 [95% CI 1.14–1.71]) or atrial fibrillation (SHR 1.31 [95% CI 1.14–1.51]) were associated with an increased incidence of post-stroke MACE. Acute management in a large hospital (>300 beds) for the initial stroke event was associated with reduced incidence of post-stroke MACE, irrespective of age group. Conclusions: MACE is common within 2 years of stroke, with most events occurring within the first year. We have identified important factors to consider when designing interventions to prevent MACE after stroke, particularly among those aged <65 years. [ABSTRACT FROM AUTHOR]