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Reeves MJ, Fonarow GC, Smith EE, Sheth KN, Messe SR, Schwamm LH. Twenty Years of Get With The Guidelines-Stroke: Celebrating Past Successes, Lessons Learned, and Future Challenges. Stroke 2024; 55:1689-1698. [PMID: 38738376 PMCID: PMC11208062 DOI: 10.1161/strokeaha.124.046527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Abstract
The Get With The Guidelines-Stroke program which, began 20 years ago, is one of the largest and most important nationally representative disease registries in the United States. Its importance to the stroke community can be gauged by its sustained growth and widespread dissemination of findings that demonstrate sustained increases in both the quality of care and patient outcomes over time. The objectives of this narrative review are to provide a brief history of Get With The Guidelines-Stroke, summarize its major successes and impact, and highlight lessons learned. Looking to the next 20 years, we discuss potential challenges and opportunities for the program.
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Affiliation(s)
- Mathew J. Reeves
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing (M.J.R.)
| | - Gregg C. Fonarow
- Division of Cardiology, Geffen School of Medicine, University of California Los Angeles (G.C.F.)
| | - Eric E. Smith
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Alberta, Canada (E.E.S.)
| | - Kevin N. Sheth
- Center for Brain & Mind Health, Departments of Neurology & Neurosurgery (K.N.S.), Yale School of Medicine, New Haven, CT
| | - Steven R. Messe
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia (S.R.M.)
| | - Lee H. Schwamm
- Department of Neurology and Bioinformatics and Data Sciences (L.H.S.), Yale School of Medicine, New Haven, CT
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Simpkins AN, Indupuru HKR, Savitz SI. Editorial: Big Data analytics to advance stroke and cerebrovascular disease: a tool to bridge translational and clinical research. Front Neurol 2023; 14:1347654. [PMID: 38164203 PMCID: PMC10758229 DOI: 10.3389/fneur.2023.1347654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 12/04/2023] [Indexed: 01/03/2024] Open
Affiliation(s)
- Alexis Nétis Simpkins
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Neurology, University of Florida, Gainesville, FL, United States
| | | | - Sean Isaac Savitz
- Institute for Stroke and Cerebrovascular Disease, University of Texas Health Science Center, Houston, TX, United States
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Feigin VL, Owolabi MO. Pragmatic solutions to reduce the global burden of stroke: a World Stroke Organization-Lancet Neurology Commission. Lancet Neurol 2023; 22:1160-1206. [PMID: 37827183 PMCID: PMC10715732 DOI: 10.1016/s1474-4422(23)00277-6] [Citation(s) in RCA: 58] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 07/14/2023] [Indexed: 10/14/2023]
Abstract
Stroke is the second leading cause of death worldwide. The burden of disability after a stroke is also large, and is increasing at a faster pace in low-income and middle-income countries than in high-income countries. Alarmingly, the incidence of stroke is increasing in young and middle-aged people (ie, age <55 years) globally. Should these trends continue, Sustainable Development Goal 3.4 (reducing the burden of stroke as part of the general target to reduce the burden of non-communicable diseases by a third by 2030) will not be met. In this Commission, we forecast the burden of stroke from 2020 to 2050. We project that stroke mortality will increase by 50%—from 6·6 million (95% uncertainty interval [UI] 6·0 million–7·1 million) in 2020, to 9·7 million (8·0 million–11·6 million) in 2050—with disability-adjusted life-years (DALYs) growing over the same period from 144·8 million (133·9 million–156·9 million) in 2020, to 189·3 million (161·8 million–224·9 million) in 2050. These projections prompted us to do a situational analysis across the four pillars of the stroke quadrangle: surveillance, prevention, acute care, and rehabilitation. We have also identified the barriers to, and facilitators for, the achievement of these four pillars. Disability-adjusted life-years (DALYs) The sum of the years of life lost as a result of premature mortality from a disease and the years lived with a disability associated with prevalent cases of the disease in a population. One DALY represents the loss of the equivalent of one year of full health On the basis of our assessment, we have identified and prioritised several recommendations. For each of the four pillars (surveillance, prevention, acute care, and rehabilitation), we propose pragmatic solutions for the implementation of evidence-based interventions to reduce the global burden of stroke. The estimated direct (ie, treatment and rehabilitation) and indirect (considering productivity loss) costs of stroke globally are in excess of US$891 billion annually. The pragmatic solutions we put forwards for urgent implementation should help to mitigate these losses, reduce the global burden of stroke, and contribute to achievement of Sustainable Development Goal 3.4, the WHO Intersectoral Global Action Plan on epilepsy and other neurological disorders (2022–2031), and the WHO Global Action Plan for prevention and control of non-communicable diseases. Reduction of the global burden of stroke, particularly in low-income and middle-income countries, by implementing primary and secondary stroke prevention strategies and evidence-based acute care and rehabilitation services is urgently required. Measures to facilitate this goal include: the establishment of a framework to monitor and assess the burden of stroke (and its risk factors) and stroke services at a national level; the implementation of integrated population-level and individual-level prevention strategies for people at any increased risk of cerebrovascular disease, with emphasis on early detection and control of hypertension; planning and delivery of acute stroke care services, including the establishment of stroke units with access to reperfusion therapies for ischaemic stroke and workforce training and capacity building (and monitoring of quality indicators for these services nationally, regionally, and globally); the promotion of interdisciplinary stroke care services, training for caregivers, and capacity building for community health workers and other health-care providers working in stroke rehabilitation; and the creation of a stroke advocacy and implementation ecosystem that includes all relevant communities, organisations, and stakeholders. The Lancet Group takes a neutral position with respect to territorial claims in published maps and institutional affiliations.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.
| | - Mayowa O Owolabi
- Centre for Genomics and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria; Blossom Specialist Medical Centre, Ibadan, Nigeria.
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Purvis T, Cadilhac DA, Hill K, Gibbs AK, Ghuliani J, Middleton S, Kilkenny MF. Benefit of linking hospital resource information and patient-level stroke registry data. Int J Qual Health Care 2023; 35:7000243. [PMID: 36692013 PMCID: PMC9936789 DOI: 10.1093/intqhc/mzad003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 11/25/2022] [Accepted: 01/23/2023] [Indexed: 01/25/2023] Open
Abstract
Variation in the delivery of evidence-based care affects outcomes for patients with stroke. A range of hospital (organizational), patient, and clinical factors can affect care delivery. Clinical registries are widely used to monitor stroke care and guide quality improvement efforts within hospitals. However, hospital features are rarely collected. We aimed to explore the influence of hospital resources for stroke, in metropolitan and regional/rural hospitals, on the provision of evidence-based patient care and outcomes. The 2017 National Audit organizational survey (Australia) was linked to patient-level data from the Australian Stroke Clinical Registry (2016-2017 admissions). Regression models were used to assess the associations between hospital resources (based on the 2015 Australian National Acute Stroke Services Framework) and patient care (reflective of national guideline recommendations), as well as 90-180-day readmissions and health-related quality of life. Models were adjusted for patient factors, including the severity of stroke. Fifty-two out of 127 hospitals with organizational survey data were merged with 22 832 Australian Stroke Clinical Registry patients with an admission for a first-ever stroke or transient ischaemic attack (median age 75 years, 55% male, and 66% ischaemic). In metropolitan hospitals (n = 42, 20 977 patients, 1701 thrombolyzed, and 2395 readmitted between 90 and 180 days post stroke), a faster median door-to-needle time for thrombolysis was associated with ≥500 annual stroke admissions [-15.9 minutes, 95% confidence interval (CI) -27.2, -4.7], annual thrombolysis >20 patients (-20.2 minutes, 95% CI -32.0, -8.3), and having specialist stroke staff (dedicated medical lead and stroke coordinator; -12.7 minutes, 95% CI -25.0, -0.4). A reduced likelihood of all-cause readmissions between 90 and 180 days was evident in metropolitan hospitals using care pathways for stroke management (odds ratio 0.82, 95% CI 0.67-0.99). In regional/rural hospitals (n = 10, 1855 patients), being discharged with a care plan was also associated with the use of stroke clinical pathways (odds ratio 3.58, 95% CI 1.45-8.82). No specific hospital resources influenced 90-180-day health-related quality of life. Relevant to all international registries, integrating information about hospital resources with clinical registry data provides greater insights into factors that influence evidence-based care.
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Affiliation(s)
- Tara Purvis
- *Corresponding author. Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3, Hudson Institute Building, 27-31 Wright Street, Clayton, Victoria 3168, Australia. E-mail:
| | - Dominique A Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Wright Street, Clayton, Victoria 3168, Australia,Stroke Division, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Burgundy Street, Heidelberg, Victoria 3084, Australia
| | - Kelvin Hill
- Stroke Services and Research, Stroke Foundation, Bourke Street, Melbourne, Victoria 3000, Australia
| | - Adele K Gibbs
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Burgundy Street, Heidelberg, Victoria 3084, Australia
| | - Jot Ghuliani
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Burgundy Street, Heidelberg, Victoria 3084, Australia
| | - Sandy Middleton
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne, Victoria Street, Darlinghurst, New South Wales 2010, Australia,Australian Catholic University, Faculty of Health Sciences, Edward Street, North Sydney, New South Wales 2060, Australia
| | - Monique F Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Wright Street, Clayton, Victoria 3168, Australia,Stroke Division, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Burgundy Street, Heidelberg, Victoria 3084, Australia
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Polhill E, Kilkenny MF, Cadilhac DA, Lannin NA, Dalli LL, Purvis T, Andrew NE, Thrift AG, Sundararajan V, Olaiya MT. Factors Associated with Receiving a Discharge Care Plan After Stroke in Australia: A Linked Registry Study. Rev Cardiovasc Med 2022; 23:328. [PMID: 39077136 PMCID: PMC11267321 DOI: 10.31083/j.rcm2310328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/27/2022] [Accepted: 09/05/2022] [Indexed: 07/31/2024] Open
Abstract
Background Discharge planning is recommended to optimise the transition from acute care to home for patients admitted with stroke. Despite this guideline recommendation, many patients do not receive a discharge care plan. Also, there is limited evidence on factors influencing the provision of discharge care plan post-stroke. We evaluated patient, clinical and system factors associated with receiving a care plan on discharge from hospital back to the community after stroke. Methods This was an observational cohort study of patients with acute stroke who were discharged to the community between 2009-2013, using data from the Australian Stroke Clinical Registry linked to hospital administrative data. For this analysis, we used merged dataset containing information on patient demographics, clinical characteristics, and receipt of acute care processes. Multivariable logistic regression models were used to determine factors associated with receiving a discharge care plan. Results Among 7812 eligible patients (39 hospitals, median age 73 years, 44.7% female, 56.9% ischaemic stroke), 47% received a care plan at discharge. The odds of receiving a discharge care plan increased over time (odds ratio [OR] 1.39 per year, 95% CI 1.37-1.48), and varied between hospitals. Factors associated with receiving a discharge care plan included greater socioeconomic position (OR 1.18, 95% CI 1.02-1.38), diagnosis of ischaemic stroke (OR 1.18, 95% CI 1.05-1.33), greater stroke severity (OR 1.15, 95% CI 1.01-1.31), or being discharged on antihypertensive medication (OR 3.07, 95% CI 2.69-3.50). In contrast, factors associated with a reduced odds of receiving a discharge care plan included being aged 85+ years (vs < 85 years; OR 0.79, 95% CI 0.64-0.96), discharged on a weekend (OR 0.56, 95% CI 0.46-0.67), discharged to residential aged care (OR 0.48, 95% CI 0.39-0.60), or being treated in a large hospital ( > 300 beds; OR 0.30, 95% CI 0.10-0.92). Conclusions Implementing practices to target people who are older, discharged to residential aged care, or discharged on a weekend may improve discharge planning and post-discharge care after stroke.
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Affiliation(s)
- Emma Polhill
- Stroke and Ageing Research, Department of Medicine, School of
Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168,
Australia
| | - Monique F Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of
Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168,
Australia
- Stroke Theme, The Florey Institute of Neuroscience and Mental
Health, University of Melbourne, Heidelberg, VIC 3084, Australia
| | - Dominique A Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of
Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168,
Australia
- Stroke Theme, The Florey Institute of Neuroscience and Mental
Health, University of Melbourne, Heidelberg, VIC 3084, Australia
| | - Natasha A Lannin
- Department of Neuroscience, Central Clinical School, Monash
University, Melbourne, VIC 3800, Australia
- Alfred Health, Melbourne, VIC 3800, Australia
| | - Lachlan L Dalli
- Stroke and Ageing Research, Department of Medicine, School of
Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168,
Australia
| | - Tara Purvis
- Stroke and Ageing Research, Department of Medicine, School of
Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168,
Australia
| | - Nadine E Andrew
- Department of Medicine, Peninsula Clinical School, Monash
University, and National Centre for Healthy Ageing, Frankston, VIC 3199,
Australia
| | - Amanda G Thrift
- Stroke and Ageing Research, Department of Medicine, School of
Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168,
Australia
| | - Vijaya Sundararajan
- Department of Medicine, St Vincent’s Hospital, University of Melbourne, Fitzroy, VIC 3065, Australia
| | - Muideen T Olaiya
- Stroke and Ageing Research, Department of Medicine, School of
Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168,
Australia
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