https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Quality of acute care and long-term quality of life and survival: the Australian Stroke Clinical Registry https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34583 Wed 23 Feb 2022 16:04:47 AEDT ]]> Quality of Care and One-Year Outcomes in Patients with Diabetes Hospitalised for Stroke or TIA: A Linked Registry Study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49887 Tue 13 Jun 2023 13:43:34 AEST ]]> Disparities in antihypertensive prescribing after stroke: linked data from the Australian stroke clinical registry https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46667 International Statistical Classification of Diseases and Related Health Problems (Tenth Edition, Australian Modification) codes from the hospital admissions and emergency presentation data. The outcome variable and other system factors were derived from the Australian Stroke Clinical Registry dataset. Multivariable, multilevel logistic regression was used to examine factors associated with the prescription of antihypertensive medications at hospital discharge. Results: Of the 10 315 patients included, 79.0% (intracerebral hemorrhage, 74.1%; acute ischemic stroke, 79.8%) were prescribed antihypertensive medications at discharge. Prescription varied between hospital sites, with 6 sites >2 SDs below the national average for provision of antihypertensives at discharge. Prescription was also independently associated with patient and clinical factors including history of hypertension, diabetes mellitus, management in an acute stroke unit, and discharge to rehabilitation. In patients with acute ischemic stroke, females (odds ratio, 0.85; 95% CI, 0.76-0.94), those who had greater stroke severity (odds ratio, 0.81; 95% CI 0.72-0.92), or dementia (odds ratio, 0.65; 95% CI, 0.52-0.81) were less likely to be prescribed. Conclusions: Prescription of antihypertensive medications poststroke varies between hospitals and according to patient factors including age, sex, stroke severity, and comorbidity profile. Implementation of targeted quality improvement initiatives at local hospitals may help to reduce the variation in prescription observed.]]> Mon 28 Nov 2022 18:46:24 AEDT ]]>