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Lens C, Demeestere J, Casolla B, Christensen H, Fischer U, Kelly P, Molina C, Sacco S, Sandset EC, Strbian D, Thomalla G, Tsivgoulis G, Vanhaecht K, Weltens C, Coeckelberghs E, Lemmens R. From guidelines to clinical practice in care for ischaemic stroke patients: A systematic review and expert opinion. Eur J Neurol 2024:e16417. [PMID: 39236303 DOI: 10.1111/ene.16417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/25/2024] [Accepted: 07/07/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND AND PURPOSE Guidelines help physicians to provide optimal care for stroke patients, but implementation is challenging due to the quantity of recommendations. Therefore a practical overview related to applicability of recommendations can be of assistance. METHODS A systematic review was performed on ischaemic stroke guidelines published in scientific journals, covering the whole acute care process for patients with ischaemic stroke. After data extraction, experts rated the recommendations on dimensions of applicability, that is, actionability, feasibility and validity, on a 9-point Likert scale. Agreement was defined as a score of ≥8 by ≥80% of the experts. RESULTS Eighteen articles were identified and 48 recommendations were ultimately extracted. Papers were included only if they described the whole acute care process for patients with ischaemic stroke. Data extraction and analysis revealed variation in terms of both content and comprehensiveness of this description. Experts reached agreement on 34 of 48 (70.8%) recommendations in the dimension actionability, for 16 (33.3%) in feasibility and for 15 (31.3%) in validity. Agreement on all three dimensions was reached for seven (14.6%) recommendations: use of a stroke unit, exclusion of intracerebral haemorrhage as differential diagnosis, administration of intravenous thrombolysis, performance of electrocardiography/cardiac evaluation, non-invasive vascular examination, deep venous thrombosis prophylaxis and administration of statins if needed. DISCUSSION AND CONCLUSION Substantial variation in agreement was revealed on the three dimensions of the applicability of recommendations. This overview can guide stroke physicians in improving the care process and removing barriers where implementation may be hampered by validity and feasibility.
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Affiliation(s)
- Charlotte Lens
- Department of Public Health, Leuven Institute for Healthcare Policy, KU Leuven-University of Leuven, Leuven, Belgium
- Department of Neurosciences, Experimental Neurology, KU Leuven-University of Leuven, Leuven, Belgium
| | - Jelle Demeestere
- Department of Neurosciences, Experimental Neurology, KU Leuven-University of Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Barbara Casolla
- Université Cote d'Azur UR2CA-URRIS, Unité Neurovasculaire, CHU Hôpital Pasteur 2, Nice, France
| | - Hanne Christensen
- Department of Neurology, Copenhagen University Hospital, Bispebjerg, Copenhagen, Denmark
| | - Urs Fischer
- Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland
- Neurology Department, University Hospital of Basel, University of Basel, Basel, Switzerland
| | - Peter Kelly
- Stroke Clinical Trials Network Ireland, University College Dublin, Dublin, Ireland
- Department of Neurology, Mater University Hospital, Dublin, Ireland
| | - Carlos Molina
- Stroke Unit, Vall d'Hebron Hospital, Barcelona, Spain
| | - Simona Sacco
- Department of Neurology, University of L'Aquila, L'Aquila, Italy
| | - Else Charlotte Sandset
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Norwegian Air Ambulance Foundation, Oslo, Norway
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Georgios Tsivgoulis
- Second Department of Neurology, 'Attikon' University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Kris Vanhaecht
- Department of Public Health, Leuven Institute for Healthcare Policy, KU Leuven-University of Leuven, Leuven, Belgium
- Department of Quality Management, University Hospitals Leuven, Leuven, Belgium
| | - Caroline Weltens
- Department of Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Ellen Coeckelberghs
- Department of Public Health, Leuven Institute for Healthcare Policy, KU Leuven-University of Leuven, Leuven, Belgium
| | - Robin Lemmens
- Department of Neurosciences, Experimental Neurology, KU Leuven-University of Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, Leuven, Belgium
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Teede H, Cadilhac DA, Purvis T, Kilkenny MF, Campbell BCV, English C, Johnson A, Callander E, Grimley RS, Levi C, Middleton S, Hill K, Enticott J. Learning together for better health using an evidence-based Learning Health System framework: a case study in stroke. BMC Med 2024; 22:198. [PMID: 38750449 PMCID: PMC11094907 DOI: 10.1186/s12916-024-03416-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 04/30/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND In the context of expanding digital health tools, the health system is ready for Learning Health System (LHS) models. These models, with proper governance and stakeholder engagement, enable the integration of digital infrastructure to provide feedback to all relevant parties including clinicians and consumers on performance against best practice standards, as well as fostering innovation and aligning healthcare with patient needs. The LHS literature primarily includes opinion or consensus-based frameworks and lacks validation or evidence of benefit. Our aim was to outline a rigorously codesigned, evidence-based LHS framework and present a national case study of an LHS-aligned national stroke program that has delivered clinical benefit. MAIN TEXT Current core components of a LHS involve capturing evidence from communities and stakeholders (quadrant 1), integrating evidence from research findings (quadrant 2), leveraging evidence from data and practice (quadrant 3), and generating evidence from implementation (quadrant 4) for iterative system-level improvement. The Australian Stroke program was selected as the case study as it provides an exemplar of how an iterative LHS works in practice at a national level encompassing and integrating evidence from all four LHS quadrants. Using this case study, we demonstrate how to apply evidence-based processes to healthcare improvement and embed real-world research for optimising healthcare improvement. We emphasize the transition from research as an endpoint, to research as an enabler and a solution for impact in healthcare improvement. CONCLUSIONS The Australian Stroke program has nationally improved stroke care since 2007, showcasing the value of integrated LHS-aligned approaches for tangible impact on outcomes. This LHS case study is a practical example for other health conditions and settings to follow suit.
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Affiliation(s)
- Helena Teede
- Monash Centre for Health Research and Implementation, 43-51 Kanooka Grove, Clayton, VIC, Australia.
- Monash Partners Academic Health Science Centre, 43-51 Kanooka Grove, Clayton, VIC, Australia.
| | - Dominique A Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 2 Monash University Research, Victorian Heart Hospital, 631 Blackburn Rd, Clayton, VIC, Australia.
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia.
| | - Tara Purvis
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 2 Monash University Research, Victorian Heart Hospital, 631 Blackburn Rd, Clayton, VIC, Australia
| | - Monique F Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 2 Monash University Research, Victorian Heart Hospital, 631 Blackburn Rd, Clayton, VIC, Australia
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
| | - Bruce C V Campbell
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Department of Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Coralie English
- School of Health Sciences, Heart and Stroke Program, University of Newcastle, Hunter Medical Research Institute, University Drive, Callaghan, NSW, Australia
| | - Alison Johnson
- Monash Partners Academic Health Science Centre, 43-51 Kanooka Grove, Clayton, VIC, Australia
| | - Emily Callander
- Monash Centre for Health Research and Implementation, 43-51 Kanooka Grove, Clayton, VIC, Australia
| | - Rohan S Grimley
- School of Medicine and Dentistry, Griffith University, Birtinya, QLD, Australia
- Clinical Excellence Division, Queensland Health, Brisbane, Australia
| | - Christopher Levi
- John Hunter Hospital, Hunter New England Local Health District and University of Newcastle, Sydney, NSW, Australia
| | - Sandy Middleton
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, NSW, Australia
- Nursing Research Institute, St Vincent's Health Network Sydney and and Australian Catholic University, Sydney, NSW, Australia
| | - Kelvin Hill
- Stroke Foundation, Level 7, 461 Bourke St, Melbourne, VIC, Australia
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, 43-51 Kanooka Grove, Clayton, VIC, Australia
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Ryan O, Ghuliani J, Grabsch B, Hill K, C Cloud G, Breen S, Kilkenny MF, Cadilhac DA. Development, implementation, and evaluation of the Australian Stroke Data Tool (AuSDaT): Comprehensive data capturing for multiple uses. HEALTH INF MANAG J 2024; 53:85-93. [PMID: 36305638 DOI: 10.1177/18333583221117184] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
BACKGROUND Historically, national programs for collecting stroke data in Australia required the use of multiple online tools. Clinicians were required to enter overlapping variables for the same patient in the different databases. From 2013 to 2016, the Australian Stroke Data Tool (AuSDaT) was built as an integrated data management solution. OBJECTIVE In this article, we have described the development, implementation, and evaluation phases of establishing the AuSDaT. METHOD In the development phase, a governance structure with representatives from different data collection programs was established. Harmonisation of data variables, drawn from six programs used in hospitals for monitoring stroke care, was facilitated through creating a National Stroke Data Dictionary. The implementation phase involved a staged deployment for two national programs over 12 months. The evaluation included an online survey of people who had used the AuSDaT between March 2018 and May 2018. RESULTS By July 2016, data entered for an individual patient was, for the first time, shared between national programs. Overall, 119/422 users (90% female, 61% aged 30-49 years, 57% nurses) completed the online evaluation survey. The two most positive features reported about the AuSDaT were (i) accessibility of the system (including simultaneous user access), and (ii) the ability to download reports to benchmark local data against peer hospitals or national performance. More than three quarters of respondents (n = 92, 77%) reported overall satisfaction with the data collection tool. CONCLUSION The AuSDaT reduces duplication and enables users from different national programs for stroke to enter standardised data into a single system. IMPLICATIONS This example may assist others who seek to establish a harmonised data management solution for different disease areas where multiple programs of data collection exist. The importance of undertaking continuous evaluation of end-users to identify preferences and aspects of the tool that are not meeting current requirements were illustrated. We also highlighted the opportunities to increase interoperability, utility, and facilitate the exchange of accurate and meaningful data.
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Affiliation(s)
- Olivia Ryan
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
| | - Jot Ghuliani
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
| | - Brenda Grabsch
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
| | - Kelvin Hill
- Stroke Foundation, Melbourne, VIC, Australia
| | - Geoffrey C Cloud
- Department of Neurology, Alfred Hospital, Melbourne, VIC, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Clayton, VIC, Australia
| | - Sibilah Breen
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
| | - Monique F Kilkenny
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Dominique A Cadilhac
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
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Harvey S, Stone M, Zingelman S, Copland DA, Kilkenny MF, Godecke E, Cadilhac DA, Kim J, Olaiya MT, Rose ML, Breitenstein C, Shrubsole K, O'Halloran R, Hill AJ, Hersh D, Mainstone K, Mainstone P, Unsworth CA, Brogan E, Short KJ, Burns CL, Baker C, Wallace SJ. Comprehensive quality assessment for aphasia rehabilitation after stroke: protocol for a multicentre, mixed-methods study. BMJ Open 2024; 14:e080532. [PMID: 38514146 PMCID: PMC10961567 DOI: 10.1136/bmjopen-2023-080532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/27/2024] [Indexed: 03/23/2024] Open
Abstract
INTRODUCTION People with aphasia following stroke experience disproportionally poor outcomes, yet there is no comprehensive approach to measuring the quality of aphasia services. The Meaningful Evaluation of Aphasia SeRvicES (MEASuRES) minimum dataset was developed in partnership with people with lived experience of aphasia, clinicians and researchers to address this gap. It comprises sociodemographic characteristics, quality indicators, treatment descriptors and outcome measurement instruments. We present a protocol to pilot the MEASuRES minimum dataset in clinical practice, describe the factors that hinder or support implementation and determine meaningful thresholds of clinical change for core outcome measurement instruments. METHODS AND ANALYSIS This research aims to deliver a comprehensive quality assessment toolkit for poststroke aphasia services in four studies. A multicentre pilot study (study 1) will test the administration of the MEASuRES minimum dataset within five Australian health services. An embedded mixed-methods process evaluation (study 2) will evaluate the performance of the minimum dataset and explore its clinical applicability. A consensus study (study 3) will establish consumer-informed thresholds of meaningful change on core aphasia outcome constructs, which will then be used to establish minimal important change values for corresponding core outcome measurement instruments (study 4). ETHICS AND DISSEMINATION Studies 1 and 2 have been registered with the Australian and New Zealand Clinical Trial Registry (ACTRN12623001313628). Ethics approval has been obtained from the Royal Brisbane and Women's Hospital (HREC/2023/MNHB/95293) and The University of Queensland (2022/HE001946 and 2023/HE001175). Study findings will be disseminated through peer-reviewed publications, conference presentations and engagement with relevant stakeholders including healthcare providers, policy-makers, stroke and rehabilitation audit and clinical quality registry custodians, consumer support organisations, and individuals with aphasia and their families.
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Affiliation(s)
- Sam Harvey
- Queensland Aphasia Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia
- Surgical, Treatment and Rehabilitation Service Education and Research Alliance, The University of Queensland and Metro North Hospital and Health Service, Herston, Queensland, Australia
| | - Marissa Stone
- Queensland Aphasia Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia
- St Vincent's Hospital Melbourne Pty Ltd, Fitzroy, Victoria, Australia
| | - Sally Zingelman
- Queensland Aphasia Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia
- Surgical, Treatment and Rehabilitation Service Education and Research Alliance, The University of Queensland and Metro North Hospital and Health Service, Herston, Queensland, Australia
| | - David A Copland
- Queensland Aphasia Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia
- Surgical, Treatment and Rehabilitation Service Education and Research Alliance, The University of Queensland and Metro North Hospital and Health Service, Herston, Queensland, Australia
| | - Monique F Kilkenny
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Erin Godecke
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
- Centre for Research Excellence in Aphasia Recovery and Rehabilitation, Melbourne, Victoria, Australia
| | - Dominique A Cadilhac
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Joosup Kim
- Stroke Theme, The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
- Department of Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - Muideen T Olaiya
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Miranda L Rose
- Centre for Research Excellence in Aphasia Recovery and Rehabilitation, Melbourne, Victoria, Australia
- School of Allied Health, Human Services and Sport, La Trobe University College of Science Health and Engineering, Bundoora, Victoria, Australia
| | - Caterina Breitenstein
- Department of Neurology with Institute of Translational Neurology, University of Muenster, Muenster, Germany
| | - Kirstine Shrubsole
- Queensland Aphasia Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia
- Metro South Hospital and Health Service, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
| | - Robyn O'Halloran
- Centre for Research Excellence in Aphasia Recovery and Rehabilitation, Melbourne, Victoria, Australia
- School of Allied Health, Human Services and Sport, La Trobe University College of Science Health and Engineering, Bundoora, Victoria, Australia
| | - Annie J Hill
- Centre for Research Excellence in Aphasia Recovery and Rehabilitation, Melbourne, Victoria, Australia
- School of Allied Health, Human Services and Sport, La Trobe University College of Science Health and Engineering, Bundoora, Victoria, Australia
| | - Deborah Hersh
- Curtin School of Allied Health and EnAble Institute, Curtin University, Perth, Western Australia, Australia
- Australian Aphasia Association, Perth, Western Australia, Australia
| | - Kathryn Mainstone
- Queensland Aphasia Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Penelope Mainstone
- Queensland Aphasia Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Carolyn A Unsworth
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Institute of Health and Wellbeing, Federation University, Ballarat, Victoria, Australia
| | - Emily Brogan
- Edith Cowan University, Joondalup, Western Australia, Australia
- Fiona Stanley Fremantle Hospitals Group, South Metropolitan Health Service, Palmyra, Western Australia, Australia
| | - Kylie J Short
- Surgical, Treatment and Rehabilitation Service Education and Research Alliance, The University of Queensland and Metro North Hospital and Health Service, Herston, Queensland, Australia
| | - Clare L Burns
- Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Queensland, Australia
| | - Caroline Baker
- Centre for Research Excellence in Aphasia Recovery and Rehabilitation, Melbourne, Victoria, Australia
- Speech Pathology Department, Monash Health, Clayton, Victoria, Australia
| | - Sarah J Wallace
- Queensland Aphasia Research Centre, The University of Queensland, Saint Lucia, Queensland, Australia
- Surgical, Treatment and Rehabilitation Service Education and Research Alliance, The University of Queensland and Metro North Hospital and Health Service, Herston, Queensland, Australia
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Grimley RS, Collyer TA, Andrew NE, Dewey HM, Horton ES, Cadigan G, Cadilhac DA. Impact of pay-for-performance for stroke unit access on mortality in Queensland, Australia: an interrupted time series analysis. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 41:100921. [PMID: 37842642 PMCID: PMC10568297 DOI: 10.1016/j.lanwpc.2023.100921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/04/2023] [Accepted: 09/15/2023] [Indexed: 10/17/2023]
Abstract
Background Stroke unit care provides substantial benefits for all subgroups of patient with stroke, but consistent access has been difficult to achieve in many healthcare systems. Pay-for-performance incentives have been introduced widely in attempt to improve quality and efficiency in healthcare, but there is limited evidence of positive impact when they are targeted at hospitals. In 2012, a pay-for-performance program targeting stroke unit access was co-designed and implemented within a clinical quality improvement network across public hospitals in Queensland, Australia. We assessed the impact on access to specialist care and mortality following stroke. Methods We used interrupted time series analysis on linked hospital and death registry data to compare changes in level (absolute proportions) and trends in outcomes (stroke/coronary care unit admission, 6-month mortality) for stroke, and a control condition of myocardial infarction (MI) without pay-for-performance incentive, from 2009 before, to 2017 after introduction of the pay-for-performance scheme in 2012. Findings We included 23,572 patients with stroke and 39,511 with MI. Following pay-for-performance introduction, stroke unit access increased by an absolute 35% (95% CI 29, 41) more than historical trend prediction, with greater impact for regional/rural residents (41% vs major city 24%) where baseline access was lowest (18% vs major city residents 53%). Historical upward 6-month mortality trends following stroke (+0.11%/month) reversed to a downward slope (-0.05%/month) with pay-for-performance; difference -0.16%/month (95% CI -0.29, -0.03). In contrast, access to coronary care and mortality trends for MI controls were unchanged, difference-in-difference for mortality -0.18%, (95% CI -0.34, -0.02). Interpretation This clinician led pay-for-performance incentive stimulated significant improvements in stroke unit access, reduced regional disparities; and resulted in a sustained decline in 6-month mortality. As our findings contrast with lack of effect in most hospital directed pay-for-performance programs, differences in design and context provide insights for optimal program design. Funding Queensland Advancing Clinical Research Fellowship, National Health and Medical Research Council Senior Research Fellowship.
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Affiliation(s)
- Rohan S. Grimley
- School of Medicine and Dentistry, Griffith University, Birtinya, Queensland 4575, Australia
- State-Wide Stroke Clinical Network, Clinical Excellence Queensland, Queensland Department of Health, Brisbane, Queensland 4001, Australia
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton 3168, Australia
| | - Taya A. Collyer
- Peninsula Clinical School Central, Central Clinical School, Monash University, Frankston, Victoria 3199, Australia
| | - Nadine E. Andrew
- Peninsula Clinical School, Central Clinical School and National Centre for Healthy Ageing, Monash University, Frankston, Victoria 3199, Australia
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton 3168, Australia
| | - Helen M. Dewey
- Eastern Health Clinical School, Monash University, Box Hill, Victoria 3128, Australia
| | - Eleanor S. Horton
- State-Wide Stroke Clinical Network, Clinical Excellence Queensland, Queensland Department of Health, Brisbane, Queensland 4001, Australia
- University of Sunshine Coast, Maroochydore, Queensland 4558, Australia
| | - Greg Cadigan
- Healthcare Improvement Unit, Clinical Excellence Queensland, Queensland Department of Health, Brisbane, Queensland 4001, Australia
| | - Dominique A. Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton 3168, Australia
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Victoria, Australia
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Goh R, Hillier S, Kelly TL, Worley A, Dixon K, Kurunawai C, Tan A, Mahadevan J, Willcourt M, Jannes J, Kleinig T. Implementation of the South Australian Regional Telestroke service is associated with improved care quality and lower stroke mortality: A retrospective cohort study. Aust J Rural Health 2023; 31:878-885. [PMID: 37350539 DOI: 10.1111/ajr.13012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 06/08/2023] [Accepted: 06/12/2023] [Indexed: 06/24/2023] Open
Abstract
INTRODUCTION Stroke in Regional Australia may have worse outcomes due to difficulties accessing optimal care. The South Australian Regional Telestroke service aimed to improve telestroke neurologist access, supported by improved ambulance triage. OBJECTIVE To assess stroke care quality and patient mortality pre- and postimplementation of a vascular neurologist-led Telestroke service. DESIGN Historically controlled mixed methods cohort study comparing key quality indicators and patient mortality (6 months pre- vs. 18 months postimplementation date [4 June 2018]) at the three major South Australian regional stroke centres. The primary outcome was 13 care quality indicators as a combined composite risk-adjusted score, and the secondary outcome was risk-adjusted mortality at 12-month postadmission. FINDINGS On an annualised basis, of 189 patients with stroke, more were admitted postintervention to the regional stroke centres than in the control period (158 [annualised rate 105.3, 95% CI 86.2-127.4] vs. 31 [annualised rate 62.0, 95% CI 47.5-79.5]) Baseline patient characteristics were similar in both periods. Post-implementation, median last-known-well time to presentation (3.5 h [IQR 1.6-17] vs. 2.0 [IQR 1-14]; p = 0.46) and door to needle times (121 min [IQR 97-144] vs. 90 [IQR 75-138]; p = 0.65) were not significantly lower but an improvement in the combined composite quality score was observed (0.069 [95% CI 0.004-0.134; p = 0.04]), reflecting individual improvements in some quality indicators. Mortality at 12-month postimplementation was substantially lower postimplementation (prechange 23% vs. postchange 13% [hazard ratio 0.58 (95% CI 0.44-0.76; p < 0.001)]). CONCLUSION Implementation of a South Australian Regional Telestroke service was associated with improved care metrics and lower mortality.
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Affiliation(s)
- Rudy Goh
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
- Lyell McEwin Hospital, Elizabeth Vale, South Australia, Australia
| | - Susan Hillier
- University of South Australia, Adelaide, South Australia, Australia
| | - Thu-Lan Kelly
- University of South Australia, Adelaide, South Australia, Australia
| | - Anthea Worley
- University of South Australia, Adelaide, South Australia, Australia
| | - Karen Dixon
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Craig Kurunawai
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
| | - Aaron Tan
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
| | - Joshua Mahadevan
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
| | | | - Jim Jannes
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
| | - Timothy Kleinig
- Royal Adelaide Hospital, Adelaide, South Australia, Australia
- University of Adelaide, Adelaide, South Australia, Australia
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Cadilhac DA, Bravata DM, Bettger JP, Mikulik R, Norrving B, Uvere EO, Owolabi M, Ranta A, Kilkenny MF. Stroke Learning Health Systems: A Topical Narrative Review With Case Examples. Stroke 2023; 54:1148-1159. [PMID: 36715006 PMCID: PMC10050099 DOI: 10.1161/strokeaha.122.036216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
To our knowledge, the adoption of Learning Health System (LHS) concepts or approaches for improving stroke care, patient outcomes, and value have not previously been summarized. This topical review provides a summary of the published evidence about LHSs applied to stroke, and case examples applied to different aspects of stroke care from high and low-to-middle income countries. Our attempt to systematically identify the relevant literature and obtain real-world examples demonstrated the dissemination gaps, the lack of learning and action for many of the related LHS concepts across the continuum of care but also elucidated the opportunity for continued dialogue on how to study and scale LHS advances. In the field of stroke, we found only a few published examples of LHSs and health systems globally implementing some selected LHS concepts, but the term is not common. A major barrier to identifying relevant LHS examples in stroke may be the lack of an agreed taxonomy or terminology for classification. We acknowledge that health service delivery settings that leverage many of the LHS concepts do so operationally and the lessons learned are not shared in peer-reviewed literature. It is likely that this topical review will further stimulate the stroke community to disseminate related activities and use keywords such as learning health system so that the evidence base can be more readily identified.
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Affiliation(s)
- Dominique A Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.A.C., M.F.K.)
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (D.A.C., M.F.K.)
| | - Dawn M Bravata
- Center for Health Information and Communication, Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B.)
- Departments of Medicine and Neurology, Indiana University School of Medicine, Indianapolis (D.M.B.)
- Regenstrief Institute, Indianapolis, IN (D.M.B.)
| | - Janet Prvu Bettger
- Department of Health and Rehabilitation Sciences, Temple University College of Public Health, Philadelphia, PA (J.P.B.)
| | - Robert Mikulik
- International Clinical Research Centre, Neurology Department, St. Ann's University Hospital and Masaryk University, Brno, Czech Republic (R.M.)
- Health Management Institute, Czech Republic (R.M.)
| | - Bo Norrving
- Lund University, Department of Clinical Sciences Lund, Neurology, Skåne University Hospital, Sweden (B.N.)
| | - Ezinne O Uvere
- Department of Medicine, College of Medicine, University of Ibadan, Nigeria (E.O.U., M.O.)
| | - Mayowa Owolabi
- Department of Medicine, College of Medicine, University of Ibadan, Nigeria (E.O.U., M.O.)
| | - Annemarei Ranta
- Department of Medicine, University of Otago, Wellington, New Zealand (A.R.)
| | - Monique F Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.A.C., M.F.K.)
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (D.A.C., M.F.K.)
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8
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Palaiodimou L, Kargiotis O, Katsanos AH, Kiamili A, Bakola E, Komnos A, Zisimopoulou V, Natsis K, Papagiannopoulou G, Theodorou A, Zompola C, Safouris A, Psychogios K, Ntais E, Plomaritis P, Karamatzianni G, Mavriki A, Koutsokera M, Lykou C, Koutroulou I, Gourbali V, Skafida A, Roussopoulou A, Kourtesi G, Papamichalis P, Papagiannopoulos S, Gryllia M, Tavernarakis A, Kazis D, Karapanayiotides T, Magoufis G, Giannopoulos S, Tsivgoulis G. Quality metrics in the management of acute stroke in Greece during the first 5 years of Registry of Stroke Care Quality (RES-Q) implementation. Eur Stroke J 2023; 8:5-15. [PMID: 36793743 PMCID: PMC9923128 DOI: 10.1177/23969873221103474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 05/09/2022] [Indexed: 02/12/2023] Open
Abstract
Introduction Establishment of a prospective stroke registry may promote the documentation and improvement of acute stroke care. We present the status of stroke management in Greece using the Registry of Stroke Care Quality (RES-Q) dataset. Methods Consecutive patients with acute stroke were prospectively registered in RES-Q registry by contributing sites in Greece during the years 2017-2021. Demographic and baseline characteristics, acute management, and clinical outcomes at discharge were recorded. Stroke quality metrics, with a specific interest in the association between acute reperfusion therapies and functional recovery in ischemic stroke patients are presented. Results A total of 3590 acute stroke patients were treated in 20 Greek sites (61% men, median age 64 years; median baseline NIHSS 4; 74% ischemic stroke). Acute reperfusion therapies were administered in almost 20% of acute ischemic stroke patients, with a door to needle and door to groin puncture times of 40 and 64 min, respectively. After adjustment for contributing sites, the rates of acute reperfusion therapies were higher during the time epoch 2020-2021 compared to 2017-2019 (adjusted OR 1.31; 95% CI 1.04-1.64; p < 0.022; Cochran-Mantel-Haenszel test). After propensity-score-matching, acute reperfusion therapies administration was independently associated with higher odds of reduced disability (one point reduction across all mRS scores) at hospital discharge (common OR 1.93; 95% CI 1.45-2.58; p < 0.001). Conclusions Implementation and maintenance of a nationwide stroke registry in Greece may guide the stroke management planning, so that prompt patient transportation, acute reperfusion therapies, and stroke unit hospitalization become more widely accessible, improving the functional outcomes of stroke patients.
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Affiliation(s)
- Lina Palaiodimou
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
- Lina Palaiodimou, Second Department of
Neurology, “Attikon” University Hospital, School of Medicine, National and
Kapodistrian University of Athens, Rimini 1, Chaidari, Athens 12462, Greece.
| | | | - Aristeidis H Katsanos
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
- Department of Neurology, School of
Medicine, University of Ioannina, Ioannina, Greece
| | - Argyro Kiamili
- Department of Neurology,
Korgialenio-Benakio Greek Red Cross General Hospital of Athens, Athens, Greece
| | - Eleni Bakola
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
- Department of Neurology, General
Hospital Eleusina Thriassio, Eleusina, Greece
| | - Apostolos Komnos
- Intensive Care Unit, General Hospital
of Larissa, Larissa, Greece
| | - Vaso Zisimopoulou
- Stroke Unit, Athens Euroclinic, Athens,
Greece
- Department of Neurology, 251 Hellenic
Air Force & VA General Hospital, Athens, Greece
| | | | - Georgia Papagiannopoulou
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
| | - Aikaterini Theodorou
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
| | - Christina Zompola
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
| | | | | | - Evangelos Ntais
- Department of Neurology, School of
Medicine, University of Ioannina, Ioannina, Greece
| | - Panagiotis Plomaritis
- Department of Neurology,
Korgialenio-Benakio Greek Red Cross General Hospital of Athens, Athens, Greece
| | - Georgia Karamatzianni
- Department of Neurology,
Korgialenio-Benakio Greek Red Cross General Hospital of Athens, Athens, Greece
| | - Andriana Mavriki
- Department of Neurology, General
Hospital Eleusina Thriassio, Eleusina, Greece
| | - Maria Koutsokera
- Department of Neurology, General
Hospital Eleusina Thriassio, Eleusina, Greece
| | - Christina Lykou
- Department of Neurology, General
Hospital Eleusina Thriassio, Eleusina, Greece
| | - Ioanna Koutroulou
- Second Department of Neurology,
Aristotle University of Thessaloniki, School of Medicine, AHEPA University Hospital,
Thessaloniki, Greece
| | | | | | - Andromachi Roussopoulou
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
- Department of Neurology, Tzaneio
General Hospital, Pireaus, Greece
| | - Georgia Kourtesi
- Department of Neurology, General
Hospital of Serres, Serres, Greece
| | | | - Sotirios Papagiannopoulos
- Third Department of Neurology,
Aristotle University of Thessaloniki, Papanikolaou Hospital, Thessaloniki,
Greece
| | - Maria Gryllia
- Department of Neurology, Athens
General Hospital G. Gennimatas, Athens, Greece
| | | | - Dimitrios Kazis
- Third Department of Neurology,
Aristotle University of Thessaloniki, Papanikolaou Hospital, Thessaloniki,
Greece
| | - Theodoros Karapanayiotides
- Second Department of Neurology,
Aristotle University of Thessaloniki, School of Medicine, AHEPA University Hospital,
Thessaloniki, Greece
| | | | - Sotirios Giannopoulos
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
- Department of Neurology, School of
Medicine, University of Ioannina, Ioannina, Greece
| | - Georgios Tsivgoulis
- Second Department of Neurology,
“Attikon” University Hospital, School of Medicine, National and Kapodistrian
University of Athens, Athens, Greece
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9
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Chiang HM, Wong AYP, Tan SLH, Mohapatra L, Chan OH, Ho AHY. Continuity of Care Advocate Model (CCAM): Healthcare Workers' Perspectives on Quality Stroke Care at an Acute Unit, Rehabilitation Center and Community Rehabilitation Program in Singapore. QUALITATIVE HEALTH RESEARCH 2023; 33:53-62. [PMID: 36420949 DOI: 10.1177/10497323221139392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Physicians, nurses, social workers, and allied health professionals including physiotherapists and occupational therapists play important roles as they work closely with stroke survivors to improve functional independence in daily activities and quality of life. Yet, in Singapore little is known about their perspectives on what constitute quality stroke care based on their clinical experiences. In this project, our qualitative interviews with 15 healthcare workers at a major stroke center in the country yielded a Continuity of Care Advocate Model (CCAM) to help us better understand our participants' experience-based perspectives on quality stroke care. We found that CCAM, constructed based on the perspectives of HCWs across a stroke care continuum, is a holistic model of quality stroke care which prioritizes support for patients and their families throughout the patient's health trajectory. We conclude by discussing how this model is aligned with and differs from current research on definitions of care continuity.
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10
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Cadilhac DA, Marion V, Andrew NE, Breen SJ, Grabsch B, Purvis T, Morrison JL, Lannin NA, Grimley RS, Middleton S, Kilkenny MF. A Stepped-Wedge Cluster-Randomized Trial to Improve Adherence to Evidence-Based Practices for Acute Stroke Management. Jt Comm J Qual Patient Saf 2022; 48:653-664. [PMID: 36307360 DOI: 10.1016/j.jcjq.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 09/18/2022] [Accepted: 09/21/2022] [Indexed: 12/30/2022]
Abstract
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.
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11
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Dempsey K, Ferguson C, Walczak A, Middleton S, Levi C, Morton RL, Boydell K, Campbell M, Cass A, Duff J, Elliott C, Geelhoed G, Jones A, Keech W, Leone V, Liew D, Linedale E, Mackinolty C, McFayden L, Norris S, Skouteris H, Story D, Tucker R, Wakerman J, Wallis L, Waterhouse T, Wiggers J. Which strategies support the effective use of clinical practice guidelines and clinical quality registry data to inform health service delivery? A systematic review. Syst Rev 2022; 11:237. [PMID: 36352475 PMCID: PMC9644489 DOI: 10.1186/s13643-022-02104-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 10/18/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Empirical evidence suggests data and insights from the clinical practice guidelines and clinical quality registries are not being fully utilised, leaving health service managers, clinicians and providers without clear guidance on how best to improve healthcare delivery. This lack of uptake of existing research knowledge represents low value to the healthcare system and needs to change. METHODS Five electronic databases (MEDLINE, Embase, CINAHL, Cochrane Central and Cochrane Database of Systematic Reviews) were systematically searched. Included studies were published between 2000 and 2020 reporting on the attributes, evidence usage and impact of clinical practice guidelines and clinical quality registries on health service delivery. RESULTS Twenty-six articles including one randomised controlled trial, eight before-and-after studies, eight case studies/reviews, five surveys and four interview studies, covering a wide range of medical conditions and conducted in the USA, Australia and Europe, were identified. Five complementary strategies were derived to maximise the likelihood of best practice health service delivery: (1) feedback and transparency, (2) intervention sustainability, (3) clinical practice guideline adherence, (4) productive partnerships and (5) whole-of-team approach. CONCLUSION These five strategies, used in context-relevant combinations, are most likely to support the application of existing high-quality data, adding value to health service delivery. The review highlighted the limitations of study design in opportunistic registry studies that do not produce clear, usable evidence to guide changes to health service implementation practices. Recommendations include exploration of innovative methodologies, improved coordination of national registries and the use of incentives to encourage guideline adherence and wider dissemination of strategies used by successful registries.
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Affiliation(s)
- Kathy Dempsey
- Faculty of Medicine and Health, NHMRC Clinical Trials Centre, The University of Sydney, Camperdown, NSW, 2050, Australia.
| | | | - Adam Walczak
- Sydney Partnership for Health, Education, Research and Enterprise (SPHERE), University of NSW, Kensington, Australia
| | - Sandy Middleton
- Nursing Research Unit, Australian Catholic University, Sydney, Australia
| | - Christopher Levi
- Sydney Partnership for Health, Education, Research and Enterprise (SPHERE), University of NSW, Kensington, Australia
| | - Rachael L Morton
- Faculty of Medicine and Health, NHMRC Clinical Trials Centre, The University of Sydney, Camperdown, NSW, 2050, Australia
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12
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Middleton S, Dale S, McElduff B, Coughlan K, McInnes E, Mikulik R, Fischer T, Van der Merwe J, Cadilhac D, D’Este C, Levi C, Grimshaw JM, Grecu A, Quinn C, Cheung NW, Koláčná T, Medukhanova S, Sanjuan Menendez E, Salselas S, Messchendorp G, Cassier-Woidasky AK, Skrzypek-Czerko M, Slavat-Plana M, Antonella U, Pfeilschifter W. Translation of nurse-initiated protocols to manage fever, hyperglycaemia and swallowing following stroke across Europe (QASC Europe): A pre-test/post-test implementation study. Eur Stroke J 2022; 8:132-147. [PMID: 37021183 PMCID: PMC10069193 DOI: 10.1177/23969873221126027] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/24/2022] [Indexed: 11/16/2022] Open
Abstract
Introduction: Poor adoption of stroke guidelines is a problem internationally. The Quality in Acute Stroke Care (QASC) trial demonstrated significant reduction in death and disability with facilitated implementation of nurse-initiated Methods: This was a multi-country, multi-centre, pre-test/post-test study (2017–2021) comparing post implementation data with historically collected pre-implementation data. Hospital clinical champions, supported by the Angels Initiative conducted multidisciplinary workshops discussing pre-implementation medical record audit results, barriers and facilitators to FeSS Protocol implementation, developed action plans and provided education, with ongoing support co-ordinated remotely from Australia. Prospective audits were conducted 3-month after FeSS Protocol introduction. Pre-to-post analysis and country income classification comparisons were adjusted for clustering by hospital and country controlling for age/sex/stroke severity. Results: Data from 64 hospitals in 17 countries (3464 patients pre-implementation and 3257 patients post-implementation) showed improvement pre-to-post implementation in measurement recording of all three FeSS components, all p < 0.0001: fever elements (pre: 17%, post: 51%; absolute difference 33%, 95% CI 30%, 37%); hyperglycaemia elements (pre: 18%, post: 52%; absolute difference 34%; 95% CI 31%, 36%); swallowing elements (pre: 39%, post: 67%; absolute difference 29%, 95% CI 26%, 31%) and thus in overall FeSS Protocol adherence (pre: 3.4%, post: 35%; absolute difference 33%, 95% CI 24%, 42%). In exploratory analysis of FeSS adherence by countries’ economic status, high-income versus middle-income countries improved to a comparable extent. Discussion and conclusion: Our collaboration resulted in successful rapid implementation and scale-up of FeSS Protocols into countries with vastly different healthcare systems.
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Affiliation(s)
- Sandy Middleton
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Sydney, NSW, Australia
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, Australia
| | - Simeon Dale
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Sydney, NSW, Australia
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, Australia
| | - Benjamin McElduff
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Sydney, NSW, Australia
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, Australia
| | - Kelly Coughlan
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Sydney, NSW, Australia
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, Australia
| | - Elizabeth McInnes
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Sydney, NSW, Australia
- School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, Australia
| | - Robert Mikulik
- International Clinical Research Centre, Neurology Department, St. Ann’s University Hospital and Masaryk University, Brno, Czech Republic
| | - Thomas Fischer
- Angels Initiative, Boehringer Ingelheim International GmbH, Hamburg, Germany
| | - Jan Van der Merwe
- Angels Initiative, Boehringer Ingelheim International GmbH, Hamburg, Germany
| | - Dominique Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Catherine D’Este
- National Centre for Epidemiology and Population Health (NCEPH), Australian National University, Canberra, Australia
- Sax Institute, Sydney, Australia
| | - Christopher Levi
- John Hunter Health and Innovation Precinct, HNE LHD, New Lambton, NSW, Australia
- Department of Medicine, University of Newcastle, Callaghan, NSW, Australia
| | - Jeremy M Grimshaw
- University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Andreea Grecu
- International Clinical Research Centre, Neurology Department, St. Ann’s University Hospital and Masaryk University, Brno, Czech Republic
| | - Clare Quinn
- Prince of Wales Hospital, Randwick, Australia
| | - Ngai Wah Cheung
- Centre for Diabetes and Endocrinology Research, Westmead Hospital, University of Sydney, Sydney, NSW, Australia
| | | | | | | | | | | | | | | | - Merce Slavat-Plana
- Health Department, Agency for Health Quality and Assessment (AQuAS), CIBER Epidemiología y Salud Pública, CIBERESP, Stroke Programme, Barcelona, Spain
| | - Urso Antonella
- Hospital Network Area-Regional Health Department, Regione Lazio, Rome, Italy
| | - Waltraud Pfeilschifter
- Department of Neurology and Clinical Neurophysiology, Städtisches Klinikum Lüneburg, Lüneburg, Germany
- Department of Neurology, Goethe University, Frankfurt am Main, Germany
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Yu AY, Bravata DM, Norrving B, Reeves MJ, Liu L, Kilkenny MF. Measuring Stroke Quality: Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures. Stroke 2022; 53:3214-3221. [DOI: 10.1161/strokeaha.122.036485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Knowledge about stroke and its management is growing rapidly and stroke systems of care must adapt to deliver evidence-based care. Quality improvement initiatives are essential for translating knowledge from clinical trials and recommendations in guidelines into routine clinical practice. This review focuses on issues central to the measurement of the quality of stroke care, including selection and definition of quality measures, identification of the eligible patient cohorts, optimization of data quality, and considerations for data analysis and interpretation.
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Affiliation(s)
- Amy Y.X. Yu
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (A.Y.X.Y.)
| | - Dawn M. Bravata
- VA HSR&D Center for Health Information and Communication (CHIC)‚ Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B.)
- Department of Internal Medicine, Indiana University School of Medicine, Indianapolis (D.M.B.)
- Regenstrief Institute, Indianapolis, IN (D.M.B.)
| | - Bo Norrving
- Department of Clinical Sciences (Neurology), Lund, Lund University, and Neurology, Skåne University Hospital Lund/Malmö, Sweden (B.N.)
| | - Mathew J. Reeves
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing (M.J.R.)
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (L.L.)
- China National Clinical Research Center for Neurological Diseases, Beijing, China (L.L.)
| | - Monique F. Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (M.F.K.)
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (M.F.K.)
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14
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Ryan OF, Hancock SL, Marion V, Kelly P, Kilkenny MF, Clissold B, Gunzburg P, Cooke S, Guy L, Sanders L, Breen S, Cadilhac DA. Feedback of aggregate patient-reported outcomes (PROs) data to clinicians and hospital end users: findings from an Australian codesign workshop process. BMJ Open 2022; 12:e055999. [PMID: 35777872 PMCID: PMC9252210 DOI: 10.1136/bmjopen-2021-055999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES Patient-reported outcomes (PROs) are increasingly used to measure the patient's perspective of their outcomes following healthcare interventions. The aim of this study was to determine the preferred formats for reporting service-level PROs data to clinicians, researchers and managers to support greater utility of these data to improve healthcare and patient outcomes. SETTING Healthcare professionals receiving PRO data feedback at the health service level. PARTICIPANTS An interdisciplinary Project Working Group comprised of clinicians participated in three workshops to codesign reporting templates of summarised PRO data (modified Rankin Scale, EuroQol Five Dimension Descriptive System, EuroQol Visual Analogue Scale and Hospital Anxiety and Depression Scale) using a modified Delphi process. An electronic survey was then distributed to short list the preferred templates among a broad sample of clinical end users. A final workshop was undertaken with the Project Working Group to review results and reach consensus on the final templates. PRIMARY AND SECONDARY OUTCOME MEASURES The recommendation of preferred PRO summary data feedback templates and guiding principles for reporting aggregate PRO data to clinicians was the primary outcome. A secondary outcome was the identification of perceived barriers and enablers to the use of PRO data in hospitals. For each outcome measure, quantitative and qualitative data were summarised. RESULTS 31 Working Group members (19 stroke, 2 psychology, 1 pharmacy, 9 researchers) participated in the workshops, where 25/55 templates were shortlisted for wider assessment. The survey was completed by 114 end users. Strongest preferences were identified for bar charts (37/82 votes, 45%) and stacked bar charts (37/91 votes, 41%). At the final workshop, recommendations to enhance communication of PROs data for comparing health service performance were made including tailoring feedback to professional roles and use of case-mix adjustment to ensure fair comparisons. CONCLUSIONS Our research provides guidance on PROs reporting for optimising data interpretation and comparing hospital performance.
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Affiliation(s)
- Olivia Francis Ryan
- Public Health: Stroke Division, Florey Institute of Neuroscience and Mental Health-Austin Campus, Heidelberg, Victoria, Australia
| | - Shaun L Hancock
- Public Health: Stroke Division, Florey Institute of Neuroscience and Mental Health-Austin Campus, Heidelberg, Victoria, Australia
| | - Violet Marion
- Public Health: Stroke Division, Florey Institute of Neuroscience and Mental Health-Austin Campus, Heidelberg, Victoria, Australia
| | - Paulette Kelly
- Victorian Agency for Health Information, Victoria Department of Health and Human Services, Melbourne, Victoria, Australia
| | - Monique F Kilkenny
- Public Health: Stroke Division, Florey Institute of Neuroscience and Mental Health-Austin Campus, Heidelberg, Victoria, Australia
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Benjamin Clissold
- Neurosciences Department, Monash Health, Clayton, Victoria, Australia
- Neurosciences Department, Barwon Health, Geelong, Victoria, Australia
| | - Penina Gunzburg
- Physiotherapy Department, Alfred Health, Melbourne, Victoria, Australia
| | - Shae Cooke
- Department of Physiotherapy, Eastern Health, Box Hill, Victoria, Australia
| | - Lauren Guy
- Community Based Rehabilitation, Sunshine Hospital, Saint Albans, Victoria, Australia
| | - Lauren Sanders
- Department of Neurosciences, St Vincent's Hospital Melbourne Pty Ltd, Fitzroy, Victoria, Australia
- Department of Medical Education, The University of Melbourne - Parkville Campus, Melbourne, Victoria, Australia
| | - Sibilah Breen
- Public Health: Stroke Division, Florey Institute of Neuroscience and Mental Health-Austin Campus, Heidelberg, Victoria, Australia
| | - Dominique A Cadilhac
- Public Health: Stroke Division, Florey Institute of Neuroscience and Mental Health-Austin Campus, Heidelberg, Victoria, Australia
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
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15
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Phan TG, Clissold B, Ma H. Time to antithrombotic therapy after transient ischaemic attack and ischaemic stroke. Med J Aust 2022; 216:495-497. [DOI: 10.5694/mja2.51532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/29/2021] [Accepted: 11/03/2021] [Indexed: 11/17/2022]
Affiliation(s)
| | - Benjamin Clissold
- Monash Health Melbourne VIC
- Stroke and Ageing Research Group Monash University Melbourne VIC
| | - Henry Ma
- Monash Health Melbourne VIC
- Monash University Melbourne VIC
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16
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Kara P, Valentin JB, Mainz J, Johnsen SP. Composite measures of quality of health care: Evidence mapping of methodology and reporting. PLoS One 2022; 17:e0268320. [PMID: 35552561 PMCID: PMC9098058 DOI: 10.1371/journal.pone.0268320] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 04/27/2022] [Indexed: 11/19/2022] Open
Abstract
Background Quality indicators are used to quantify the quality of care. A large number of quality indicators makes assessment of overall quality difficult, time consuming and impractical. There is consequently an increasing interest for composite measures based on a combination of multiple indicators. Objective To examine the use of different approaches to construct composite measures of quality of care and to assess the use of methodological considerations and justifications. Methods We conducted a literature search on PubMed and EMBASE databases (latest update 1 December 2020). For each publication, we extracted information on the weighting and aggregation methodology that had been used to construct composite indicator(s). Results A total of 2711 publications were identified of which 145 were included after a screening process. Opportunity scoring with equal weights was the most used approach (86/145, 59%) followed by all-or-none scoring (48/145, 33%). Other approaches regarding aggregation or weighting of individual indicators were used in 32 publications (22%). The rationale for selecting a specific type of composite measure was reported in 36 publications (25%), whereas 22 papers (15%) addressed limitations regarding the composite measure. Conclusion Opportunity scoring and all-or-none scoring are the most frequently used approaches when constructing composite measures of quality of care. The attention towards the rationale and limitations of the composite measures appears low. Discussion Considering the widespread use and the potential implications for decision-making of composite measures, a high level of transparency regarding the construction process of the composite and the functionality of the measures is crucial.
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Affiliation(s)
- Pinar Kara
- Danish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Psychiatry, Aalborg University Hospital, Aalborg, Denmark
- * E-mail:
| | - Jan Brink Valentin
- Danish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Jan Mainz
- Danish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Psychiatry, Aalborg University Hospital, Aalborg, Denmark
- Department for Community Mental Health, University of Haifa, Haifa, Israel
- Department of Health Economics, University of Southern Denmark, Odense, Denmark
| | - Søren Paaske Johnsen
- Danish Center for Clinical Health Services Research (DACS), Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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17
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Ryan A, Paul CL, Cox M, Whalen O, Bivard A, Attia J, Bladin C, Davis SM, Campbell BCV, Parsons M, Grimley RS, Anderson C, Donnan GA, Oldmeadow C, Kuhle S, Walker FR, Hood RJ, Maltby S, Keynes A, Delcourt C, Hatchwell L, Malavera A, Yang Q, Wong A, Muller C, Sabet A, Garcia-Esperon C, Brown H, Spratt N, Kleinig T, Butcher K, Levi CR. TACTICS - Trial of Advanced CT Imaging and Combined Education Support for Drip and Ship: evaluating the effectiveness of an 'implementation intervention' in providing better patient access to reperfusion therapies: protocol for a non-randomised controlled stepped wedge cluster trial in acute stroke. BMJ Open 2022; 12:e055461. [PMID: 35149571 PMCID: PMC8845197 DOI: 10.1136/bmjopen-2021-055461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Stroke reperfusion therapies, comprising intravenous thrombolysis (IVT) and/or endovascular thrombectomy (EVT), are best practice treatments for eligible acute ischemic stroke patients. In Australia, EVT is provided at few, mainly metropolitan, comprehensive stroke centres (CSC). There are significant challenges for Australia's rural and remote populations in accessing EVT, but improved access can be facilitated by a 'drip and ship' approach. TACTICS (Trial of Advanced CT Imaging and Combined Education Support for Drip and Ship) aims to test whether a multicomponent, multidisciplinary implementation intervention can increase the proportion of stroke patients receiving EVT. METHODS AND ANALYSIS This is a non-randomised controlled, stepped wedge trial involving six clusters across three Australian states. Each cluster comprises one CSC hub and a minimum of three primary stroke centre (PSC) spokes. Hospitals will work in a hub and spoke model of care with access to a multislice CT scanner and CT perfusion image processing software (MIStar, Apollo Medical Imaging). The intervention, underpinned by behavioural theory and technical assistance, will be allocated sequentially, and clusters will move from the preintervention (control) period to the postintervention period. PRIMARY OUTCOME Proportion of all stroke patients receiving EVT, accounting for clustering. SECONDARY OUTCOMES Proportion of patients receiving IVT at PSCs, proportion of treated patients (IVT and/or EVT) with good (modified Rankin Scale (mRS) score 0-2) or poor (mRS score 5-6) functional outcomes and European Quality of Life Scale scores 3 months postintervention, proportion of EVT-treated patients with symptomatic haemorrhage, and proportion of reperfusion therapy-treated patients with good versus poor outcome who presented with large vessel occlusion at spokes. ETHICS AND DISSEMINATION Ethical approval has been obtained from the Hunter New England Human Research Ethics Committee (18/09/19/4.13, HREC/18/HNE/241, 2019/ETH01238). Trial results will be disseminated widely through published manuscripts, conference presentations and at national and international platforms regardless of whether the trial was positive or neutral. TRIAL REGISTRATION NUMBER ACTRN12619000750189; UTNU1111-1230-4161.
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Affiliation(s)
- Annika Ryan
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Christine L Paul
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Martine Cox
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Olivia Whalen
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Andrew Bivard
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - John Attia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Christopher Bladin
- Eastern Health Clinical School, Monash University, Box Hill, Victoria, Australia
| | - Stephen M Davis
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
| | - Mark Parsons
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Department of Neurology, Liverpool Hospital, Ingham Institute for Applied Medical Research, University of New South Wales South Western Sydney Clinical School, Liverpool, New South Wales, Australia
| | - Rohan S Grimley
- Queensland State-wide Stroke Clinical Network, Healthcare Improvement Unit, Queensland Health, Herston, Queensland, Australia
- School of Medicine, Griffith University, Southport, Queensland, Australia
| | - Craig Anderson
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Geoffrey A Donnan
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher Oldmeadow
- Data Sciences, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Sarah Kuhle
- Queensland State-wide Stroke Clinical Network, Healthcare Improvement Unit, Queensland Health, Herston, Queensland, Australia
| | - Frederick R Walker
- Centre for Advanced Training Systems, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Rebecca J Hood
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- Centre for Advanced Training Systems, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Steven Maltby
- Centre for Advanced Training Systems, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Angela Keynes
- Centre for Advanced Training Systems, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Candice Delcourt
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Department of Clinical Medicine, Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Luke Hatchwell
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Alejandra Malavera
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Qing Yang
- Apollo Medical Imaging Technology Pty Ltd, Melbourne, Victoria, Australia
| | - Andrew Wong
- Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, Queensland, Australia
| | - Claire Muller
- Queensland State-wide Stroke Clinical Network, Healthcare Improvement Unit, Queensland Health, Herston, Queensland, Australia
- Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, Queensland, Australia
| | - Arman Sabet
- School of Medicine, Griffith University, Southport, Queensland, Australia
- Department of Neurology, Gold Coast University Hospital, Southport, Queensland, Australia
| | - Carlos Garcia-Esperon
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- Area Administration, Hunter New England Local Health District, New Lambton, New South Wales, Australia
| | - Helen Brown
- Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
| | - Neil Spratt
- Division of Medicine, Department of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
- School of Biomedical Sciences and Pharmacy, Translational Stroke Laboratory, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Timothy Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Ken Butcher
- Department of Neurology, Liverpool Hospital, Ingham Institute for Applied Medical Research, University of New South Wales South Western Sydney Clinical School, Liverpool, New South Wales, Australia
- Clinical Neuroscience, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Christopher R Levi
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Area Administration, Hunter New England Local Health District, New Lambton, New South Wales, Australia
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18
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Thayabaranathan T, Andrew NE, Grimley R, Stroil-Salama E, Grabsch B, Hill K, Cadigan G, Purvis T, Middleton S, Kilkenny MF, Cadilhac DA. Understanding the Role of External Facilitation to Drive Quality Improvement for Stroke Care in Hospitals. Healthcare (Basel) 2021; 9:healthcare9091095. [PMID: 34574869 PMCID: PMC8471416 DOI: 10.3390/healthcare9091095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/18/2021] [Accepted: 08/20/2021] [Indexed: 11/18/2022] Open
Abstract
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.
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Affiliation(s)
- Tharshanah Thayabaranathan
- School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; (N.E.A.); (R.G.); (T.P.); (M.F.K.); (D.A.C.)
- Correspondence: ; Tel.: +61-3-8572-2646; Fax: +61-3-9902-4245
| | - Nadine E. Andrew
- School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; (N.E.A.); (R.G.); (T.P.); (M.F.K.); (D.A.C.)
- Peninsula Clinical School, Central Clinical School, Monash University, Frankston, VIC 3199, Australia
| | - Rohan Grimley
- School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; (N.E.A.); (R.G.); (T.P.); (M.F.K.); (D.A.C.)
- Queensland State-Wide Stroke Clinical Network, Brisbane, QLD 4000, Australia;
- Sunshine Coast Clinical School, Griffith University, Birtinya, QLD 4575, Australia
| | - Enna Stroil-Salama
- Metro South Research, Metro South Health, Brisbane, QLD 4102, Australia;
| | - Brenda Grabsch
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC 3052, Australia;
| | - Kelvin Hill
- Stroke Foundation, Melbourne, VIC 3000, Australia;
| | - Greg Cadigan
- Queensland State-Wide Stroke Clinical Network, Brisbane, QLD 4000, Australia;
| | - Tara Purvis
- School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; (N.E.A.); (R.G.); (T.P.); (M.F.K.); (D.A.C.)
| | - Sandy Middleton
- Nursing Research Institute, St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne, Australia and Australian Catholic University, Sydney, NSW 2010, Australia;
| | - Monique F. Kilkenny
- School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; (N.E.A.); (R.G.); (T.P.); (M.F.K.); (D.A.C.)
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC 3052, Australia;
| | - Dominique A. Cadilhac
- School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; (N.E.A.); (R.G.); (T.P.); (M.F.K.); (D.A.C.)
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC 3052, Australia;
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19
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Phan TG, Clissold B, Singhal S, Ly JV, Lim A, Vuong J, Ho S, Matley C, Kooblal T, Ma H. Network Mapping of Time to Antithrombotic Therapy Among Patients With Ischemic Stroke and Transient Ischemic Attack (TIA). Front Neurol 2021; 12:651869. [PMID: 34163420 PMCID: PMC8215274 DOI: 10.3389/fneur.2021.651869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/14/2021] [Indexed: 11/18/2022] Open
Abstract
Background: There is emphasis on timely administration of thrombolysis and clot retrieval but not antithrombotic therapy within 48 h for ischemic stroke (frequency of 64% in Australia and 97% in North America). We planned to assess the time metrics and variables associated with delaying antithrombotics (antiplatelet and anticoagulant therapy) administration. Methods: This was a retrospective study at Monash Health over 12 months in 2015. We plotted the cumulative event and mapped the key drivers (dimensionless variable Shapley value/SV) of antithrombotics. Results: There were 42 patients with transient ischemic attack/TIA and 483 with ischemic stroke [mean age was 71.8 ± 15.4; 56.0% male; nil by mouth (NBM) 74.5 and 49.3% of patients received “stat” (immediate and one off) dose antithrombotics]. The median time to imaging for the patients who did not have stroke code activated was 2.3 h (IQR 1.4–3.7), from imaging to dysphagia screen was 14.6 h (IQR 6.2–20.3), and from stopping NBM to antithrombotics was 1.7 h (IQR 0–16.5). TIA patients received antithrombotics earlier than those with ischemic stroke (90.5 vs. 86.5%, p = 0.01). Significant variables in regression analysis for time to antithrombotics were time to dysphagia screen (β 0.20 ± 0.03, SV = 3.2), nasogastric tube (β 19.8 ± 5.9, SV = −0.20), Alteplase (β 8.6 ± 3.6, SV = −1.9), stat dose antithrombotic (β −18.9 ± 2.9, SV = −10.8) and stroke code (β −5.9 ± 2.5, SV = 2.8). The partial correlation network showed that the time to antithrombotics increased with delay in dysphagia screen (coefficient = 0.33) and decreased if “stat” dose of antithrombotics was given (coefficient = −0.32). Conclusion: The proportion of patients receiving antithrombotics within 48 h was higher than previously reported in Australia but remained lower than the standard achieved in North American hospitals. Our process map and network analysis show avenues to shorten the time to antithrombotic.
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Affiliation(s)
- Thanh G Phan
- Stroke & Aging Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Department of Neurology, Monash Health, Monash University, Clayton, VIC, Australia
| | - Benjamin Clissold
- Stroke & Aging Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Department of Neurology, Monash Health, Monash University, Clayton, VIC, Australia
| | - Shaloo Singhal
- Stroke & Aging Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Department of Neurology, Monash Health, Monash University, Clayton, VIC, Australia
| | - John Van Ly
- Stroke & Aging Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Department of Neurology, Monash Health, Monash University, Clayton, VIC, Australia
| | - Andy Lim
- Stroke & Aging Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Department of Emergency Medicine, Monash Medical Center, Monash University, Clayton, VIC, Australia
| | - Jason Vuong
- Stroke & Aging Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Department of Neurology, Monash Health, Monash University, Clayton, VIC, Australia
| | - Stella Ho
- Department of Pharmacy Monash Medical Center, Monash University, Clayton, VIC, Australia
| | - Chelsea Matley
- Department of Neurology, Monash Health, Monash University, Clayton, VIC, Australia
| | - Talvika Kooblal
- Department of Neurology, Monash Health, Monash University, Clayton, VIC, Australia
| | - Henry Ma
- Stroke & Aging Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Department of Neurology, Monash Health, Monash University, Clayton, VIC, Australia
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20
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Paige E, Doyle K, Jorm L, Banks E, Hsu MP, Nedkoff L, Briffa T, Cadilhac DA, Mahoney R, Verjans JW, Dwivedi G, Inouye M, Figtree GA. A Versatile Big Data Health System for Australia: Driving Improvements in Cardiovascular Health. Heart Lung Circ 2021; 30:1467-1476. [PMID: 34092503 DOI: 10.1016/j.hlc.2021.04.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/21/2021] [Accepted: 04/24/2021] [Indexed: 11/17/2022]
Abstract
Cardiovascular diseases (CVD) are leading causes of death and morbidity in Australia and worldwide. Despite improvements in treatment, there remain large gaps in our understanding to prevent, treat and manage CVD events and associated morbidities. This article lays out a vision for enhancing CVD research in Australia through the development of a Big Data system, bringing together the multitude of rich administrative and health datasets available. The article describes the different types of Big Data available for CVD research in Australia and presents an overview of the potential benefits of a Big Data system for CVD research and some of the major challenges in establishing the system for Australia. The steps for progressing this vision are outlined.
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Affiliation(s)
- Ellie Paige
- National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia
| | - Kerry Doyle
- Australian Cardiovascular Alliance, Chittaway Bay, NSW, Australia; National Institute of Complementary Medicines, Sydney, NSW, Australia; Ausbiotech, Melbourne, Vic, Australia
| | - Louisa Jorm
- Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia
| | - Emily Banks
- National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia; Sax Institute, Sydney, NSW, Australia
| | - Meng-Ping Hsu
- Australian Cardiovascular Alliance, Chittaway Bay, NSW, Australia
| | - Lee Nedkoff
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
| | - Tom Briffa
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
| | - Dominique A Cadilhac
- Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Vic, Australia; Stroke Theme, the Florey Institute of Neuroscience and Mental Health, the University of Melbourne, Melbourne, Vic, Australia
| | - Ray Mahoney
- Australian e Health Research Centre, CSIRO, Brisbane, Qld, Australia
| | - Johan W Verjans
- Australian Institute for Machine Learning/Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia; Vascular Research Centre, South Australian Health and Medical Research Institute, Adelaide, SA, Australia; Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Girish Dwivedi
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia; Fiona Stanley Hospital, Perth, WA, Australia; Harry Perkins Institute of Medical Research, The University of Western Australia, Perth, WA, Australia
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Vic, Australia; Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; The Alan Turing Institute, London, UK
| | - Gemma A Figtree
- Australian Cardiovascular Alliance, Chittaway Bay, NSW, Australia; Kolling Institute of Medical Research, The University of Sydney, Sydney, NSW, Australia.
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21
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Affiliation(s)
- Monique F Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (M.F.K.).,The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (M.F.K.)
| | - Dawn M Bravata
- Precision Monitoring to Transform Care Quality Enhancement Research Initiative, Health Services Research and Development, Department of Veterans Affairs, Indianapolis, IN (D.M.B.).,Health Services Research and Development Center for Health Information and Communication, Richard L. Roudebush VA Medical Center, Department of Veterans Affairs, Indianapolis, IN (D.M.B.).,Medicine Service, Richard L. Roudebush VA Medical Center, Indianapolis, IN (D.M.B.).,Departments of Medicine and of Neurology, Indiana University School of Medicine, Indianapolis (D.M.B.).,William M. Tierney Center for Health Services Research, Regenstrief Institute, Indianapolis, IN (D.M.B.)
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22
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Cadilhac DA, Sheppard L, Kim J, Tan E, Gao L, Sookram G, Dewey HM, Bladin CF, Moodie M. Economic Evaluation Protocol and Statistical Analysis Plan for the Cost-Effectiveness of a Novel Australian Stroke Telemedicine Program; the Victorian Stroke Telemedicine (VST) program. Front Neurol 2021; 11:602044. [PMID: 33584501 PMCID: PMC7873861 DOI: 10.3389/fneur.2020.602044] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 12/21/2020] [Indexed: 11/13/2022] Open
Abstract
Introduction: Telemedicine can address limited access to medical specialists in rural hospitals. Stroke provides an important case study because: it is a major cause of disease burden; effective treatments to reduce disability (e.g., thrombolysis) can be provided within the initial hours of stroke onset; careful selection of patients is needed by skilled doctors to minimize adverse events from thrombolysis; and there are major treatment gaps (only about half of regional hospitals in Australia provide thrombolysis for stroke). Few economic analyses have been undertaken on telestroke and the majority have been simulation models. The aim of this protocol and statistical analysis plan is to outline the methods for the cost-effectiveness evaluation of a large, multicentre acute stroke telemedicine program being conducted in Victoria, Australia. Methods: Using a historical- and prospective-controlled design, we will compare patient-level data obtained in the 12 months prior to the Victorian Stroke Telemedicine (VST) program implementation and during the first 12 months of VST to determine the incremental difference in costs and patient outcomes at 3 and 12 months. Secondary aims include assessing the cost per additional patient receiving intravenous thrombolysis and the cost per additional patient receiving intravenous thrombolysis within 60 min. Tertiary aims include assessing the potential longer-term cost-effectiveness in the second year of the program at the hospitals to determine whether any program benefits are sustained once site coordinators are no longer employed; and modeling the potential net life-time costs and benefits from a societal perspective. Multivariable uncertainty and one-way sensitivity analyses will be performed to assess the robustness of results. Results: Sixteen hospitals participated. Patient-level data collection including 12-month outcomes for the cohorts obtained in the first and second year of the program for each hospital was completed in January 2020. Conclusion: The results from this real-world study with patient-level data will provide high quality evidence of the costs, health benefits and policy implications of telestroke programs, including the potential for application in other locations within Australia or other countries with similar health system delivery and financing.
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Affiliation(s)
- Dominique A Cadilhac
- Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia
| | - Lauren Sheppard
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
| | - Joosup Kim
- Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.,Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia
| | - Elise Tan
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
| | - Lan Gao
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
| | - Garveeta Sookram
- Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Helen M Dewey
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Christopher F Bladin
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia.,Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia.,Ambulance VIC, Doncaster, VIC, Australia
| | - Marj Moodie
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
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Mikulík R, Caso V, Bornstein NM, Svobodová V, Pezzella FR, Grecu A, Simsic S, Gdovinova Z, Członkowska A, Mishchenko TS, Flomin Y, Milanov IG, Andonova S, Tiu C, Arsovska A, Budinčević H, Groppa SA, Bereczki D, Kõrv J, Kharitonova T, Vosko MR. Enhancing and accelerating stroke treatment in Eastern European region: Methods and achievement of the ESO EAST program. Eur Stroke J 2020; 5:204-212. [PMID: 32637654 PMCID: PMC7313365 DOI: 10.1177/2396987319897156] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Accepted: 12/03/2019] [Indexed: 12/29/2022] Open
Abstract
INTRODUCTION Despite the availability of prevention and therapies of stroke, their implementation in clinical practice, even of low-cost ones, remains poor. In 2015, the European Stroke Organisation (ESO) initiated the ESO Enhancing and Accelerating Stroke Treatment (EAST) program, which aims to improve stroke care quality, primarily in Eastern Europe. Here, we describe its methods and milestones. PATIENTS AND METHODS The ESO EAST program is using an implementation strategy based on a 'detecting-understanding-reducing disparities' conceptual framework: stroke care quality is first measured (after developing a platform for data collection), gaps are identified in the current service delivery, and ultimately feedback is provided to participating hospitals, followed by the application of interventions to reduce disparities. The ESO EAST program is carried out by establishing a stroke quality registry, stroke management infrastructure, and creating education and training opportunities for healthcare professionals. RESULTS Program management and leadership infrastructure has been established in 19 countries (Country Representatives in 22 countries, National Steering Committee in 19 countries). A software platform for data collection and analysis: Registry of Stroke Care Quality was developed, and launched in 2016, and has been used to collect data from over 90,000 patients from >750 hospitals and 56 countries between September 2016 and May 2019. Training in thrombolysis, nursing and research skills has been initiated. DISCUSSION ESO EAST is the first pan-Eastern European (and beyond) multifaceted quality improvement intervention putting evidence-informed policies into practice. Continuous monitoring of stroke care quality allows hospital-to-hospital and country-to-country benchmarking and identification of the gaps and needs in health care.
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Affiliation(s)
- Robert Mikulík
- International Clinical Research Center and Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| | - Valeria Caso
- Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Natan M Bornstein
- Shaare Zedek Medical center, Jerusalem, Tel Aviv University, Tel Aviv, Israel
| | - Veronika Svobodová
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | | | - Andreea Grecu
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Steven Simsic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Zuzana Gdovinova
- Faculty of Medicine, Department of Neurology, P.J. Šafárik University, University Hospital L. Pasteur, Košice, Slovakia
| | - Anna Członkowska
- 2nd Department of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Tamara S Mishchenko
- Department of Clinical Neurology, Psychiatry and Narcology, V.N. Karazin Kharkiv National University, Kharkiv, Ukraine
| | - Yuriy Flomin
- Comprehensive Stroke Unit, MC 'Universal Clinic 'Oberig', Kyiv, Ukraine
| | - Ivan G Milanov
- Neurology Clinic, Medical University of Sofia, Sofia, Bulgaria
| | - Silva Andonova
- Medical University – Varna, University Hospital “St. Marina” Second Clinic of Neurology with ICU and Stroke Unit, Varna, Bulgaria
| | - Cristina Tiu
- Department of Clinical Neurosciences, University of Medicine and Pharmacy “Carol Davila”, Bucharest, Romania
| | - Anita Arsovska
- University Clinic of Neurology, Medical Faculty, University “Ss. Cyril and Methodius”, Skopje, North Macedonia
| | - Hrvoje Budinčević
- Department of Neurology, Stroke and Intensive Care Unit, Sveti Duh University Hospital, Zagreb, Croatia
| | - Stanislav A Groppa
- Department of Neurology and Neurosurgery, National Center of Epileptology, Institute of Emergency Medicine, Chisinau, Moldova
- Laboratory of Neurobiology and Medical Genetics, State University of Medicine and Pharmacy “Nicolae Testemiţanu,” Chisinau, Moldova
| | - Daniel Bereczki
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Janika Kõrv
- Department of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Tatiana Kharitonova
- Department of Acute Cerebrovascular Pathology and Emergency Neurology, Research Institute of Emergency Medicine n.a. I.I. Dzhanelidze, Saint-Petersburg, Russia
| | - Milan R Vosko
- Department of Neurology, Med Campus III, Kepler University Hospital, Linz, Austria
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Ungerer MN, Ringleb P, Reuter B, Stock C, Ippen F, Hyrenbach S, Bruder I, Martus P, Gumbinger C, Schabet M, Schoser K, Daffertshofer M, Neumaier S, Sorge R, Drewitz E, Hyrenbach S. Stroke unit admission is associated with better outcome and lower mortality in patients with intracerebral hemorrhage. Eur J Neurol 2020; 27:825-832. [DOI: 10.1111/ene.14164] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 02/03/2020] [Indexed: 11/29/2022]
Affiliation(s)
- M. N. Ungerer
- Department of Neurology University Hospital Heidelberg Heidelberg
| | - P. Ringleb
- Department of Neurology University Hospital Heidelberg Heidelberg
| | | | - C. Stock
- Institute of Medical Biometry and Informatics (IMBI) University of Heidelberg Heidelberg
| | - F. Ippen
- Department of Neurology University Hospital Heidelberg Heidelberg
| | - S. Hyrenbach
- Qualitätssicherung im Gesundheitswesen Baden‐Wuerttemberg (GeQiK Baden‐Wuerttemberg) Stuttgart
| | - I. Bruder
- Qualitätssicherung im Gesundheitswesen Baden‐Wuerttemberg (GeQiK Baden‐Wuerttemberg) Stuttgart
| | - P Martus
- Institute for Clinical Epidemiology and Applied Biometry University of Tuebingen Tuebingen Germany
| | - C. Gumbinger
- Department of Neurology University Hospital Heidelberg Heidelberg
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Dalli LL, Kim J, Thrift AG, Andrew NE, Lannin NA, Anderson CS, Grimley R, Katzenellenbogen JM, Boyd J, Lindley RI, Pollack M, Jude M, Durairaj R, Shah D, Cadilhac DA, Kilkenny MF. Disparities in Antihypertensive Prescribing After Stroke. Stroke 2019; 50:3592-3599. [DOI: 10.1161/strokeaha.119.026823] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Despite evidence to support the prescription of antihypertensive medications before hospital discharge to promote medication adherence and prevent recurrent events, many patients with stroke miss out on these medications at discharge. We aimed to examine patient, clinical, and system-level differences in the prescription of antihypertensive medications at hospital discharge after stroke.
Methods—
Adults with acute ischemic stroke or intracerebral hemorrhage alive at discharge were included (years 2009–2013) from 39 hospitals participating in the Australian Stroke Clinical Registry. Patient comorbidities were identified using the
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.
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Affiliation(s)
- Lachlan L. Dalli
- From the Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health (L.L.D., J.M.K., A.G.T., R.G., D.A.C., M.F.K.), Monash University, Clayton, VIC, Australia
| | | | - Amanda G. Thrift
- From the Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health (L.L.D., J.M.K., A.G.T., R.G., D.A.C., M.F.K.), Monash University, Clayton, VIC, Australia
| | - Nadine E. Andrew
- Peninsula Clinical School, Central Clinical School (N.E.A.), Monash University, Clayton, VIC, Australia
| | - Natasha A. Lannin
- Department of Neuroscience, Central Clinical School, Monash University, Melbourn, VIC, Australia (N.A.L.)
| | - Craig S. Anderson
- Royal Prince Alfred Hospital, Camperdown, NSW, Australia (C.S.A.)
- The George Institute for Global Health at Peking University Health Science Center, China (C.S.A.)
- The George Institute for Global Health, Sydney, NSW, Australia (C.S.A.)
| | - Rohan Grimley
- From the Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health (L.L.D., J.M.K., A.G.T., R.G., D.A.C., M.F.K.), Monash University, Clayton, VIC, Australia
- Sunshine Coast Clinical School, University of Queensland, Birtinya, QLD, Australia (R.G.)
| | - Judith M. Katzenellenbogen
- From the Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health (L.L.D., J.M.K., A.G.T., R.G., D.A.C., M.F.K.), Monash University, Clayton, VIC, Australia
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (J.M.K., D.A.C., M.F.K.)
- School of Population and Global Health (J.M.K.), The University of Western Australia, Perth, Australia
- Telethon Kids Institute (J.M.K.), The University of Western Australia, Perth, Australia
| | - James Boyd
- School of Psychology and Public Health, La Trobe University, Bundoora, VIC, Australia (J.B.)
| | | | - Michael Pollack
- Hunter Stroke Service, Hunter New England Health, NSW, Australia (M.P.)
- The University of Newcastle, NSW, Australia (M.P.)
| | | | | | - Darshan Shah
- Princess Alexandra Hospital, Brisbane, QLD, Australia (D.S.)
| | - Dominique A. Cadilhac
- From the Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health (L.L.D., J.M.K., A.G.T., R.G., D.A.C., M.F.K.), Monash University, Clayton, VIC, Australia
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (J.M.K., D.A.C., M.F.K.)
| | - Monique F. Kilkenny
- From the Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences at Monash Health (L.L.D., J.M.K., A.G.T., R.G., D.A.C., M.F.K.), Monash University, Clayton, VIC, Australia
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (J.M.K., D.A.C., M.F.K.)
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Purvis T, Middleton S, Craig LE, Kilkenny MF, Dale S, Hill K, D'Este C, Cadilhac DA. Inclusion of a care bundle for fever, hyperglycaemia and swallow management in a National Audit for acute stroke: evidence of upscale and spread. Implement Sci 2019; 14:87. [PMID: 31477125 PMCID: PMC6721322 DOI: 10.1186/s13012-019-0934-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Accepted: 08/13/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND In the Quality in Acute Stroke Care (QASC) trial undertaken in stroke units (SUs) located in New South Wales (NSW), Australia (2005-2010), facilitated implementation of a nurse-led care bundle to manage fever, hyperglycaemia and swallowing (FeSS protocols) reduced death and disability for patients with stroke. We aimed to determine subsequent adherence to the bundled FeSS processes (reflective of the protocols) between 2013 and 2017 in Australian hospitals, and examine whether changes in adherence to these processes varied based on previous participation in the QASC trial or subsequent statewide scale-up (QASCIP-Quality in Acute Stroke Care Implementation Project) and presence of an SU. METHODS Cross-sectional, observational study using self-reported organisational survey and retrospective clinical audit data from the National Acute Services Stroke Audit (2013, 2015, 2017). Mixed-effects logistic regression was performed with dependent variables: (1) composite outcome measure reflecting compliance with the FeSS protocols and (2) individual FeSS processes, including the year of audit as an independent variable, adjusted for correlation of outcomes within hospital. Separate models including interaction terms between the year of audit and previous participation in QASC/QASCIP and year of audit and SU were also generated. RESULTS Hospital participation included the following: 2013-124 hospitals, 3741 cases; 2015-112 hospitals, 4087 cases; and 2017-117 hospitals, 4192 cases. An 80% increase in the odds of receiving the composite outcome in 2017 compared to 2013 was found (2013, 30%; 2017, 41%; OR 1.8; 95% CI 1.6, 2.0; p < 0.001). The odds of FeSS adherence from 2013 to 2017 was greater for hospitals that had participated in QASC/QASCIP relative to those that had not (participated OR 2.1; 95% CI 1.7, 2.7; not participated OR 1.6; 95% CI 1.4, 1.8; p = 0.03). Similar uptake in adherence was evident in hospitals with and without an SU between 2013 and 2017. CONCLUSION The use of the FeSS protocols within Australia increased from 2013 to 2017 with the inclusion of these care processes in the National Audit. Greater uptake in hospitals previously involved in QASC/QASCIP was evident. Our implementation methods may be useful for other national initiatives for improving access to evidence-based practice.
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Affiliation(s)
- Tara Purvis
- Stroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University, Level 3, Hudson Institute Building, 27-31 Wright Street, Clayton, Victoria, 3168, Australia.
| | - Sandy Middleton
- Nursing Research Institute, St Vincent's Health Australia Sydney, St Vincent's Hospital Melbourne, Sydney, New South Wales, Australia.,School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, New South Wales, Australia
| | - Louise E Craig
- Nursing Research Institute, St Vincent's Health Australia Sydney, St Vincent's Hospital Melbourne, Sydney, New South Wales, Australia.,School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, New South Wales, Australia.,Centre for Research in Evidence-Based Practice, Bond University, Robina, Queensland, Australia
| | - Monique F Kilkenny
- Stroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University, Level 3, Hudson Institute Building, 27-31 Wright Street, Clayton, Victoria, 3168, Australia.,Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
| | - Simeon Dale
- Nursing Research Institute, St Vincent's Health Australia Sydney, St Vincent's Hospital Melbourne, Sydney, New South Wales, Australia.,School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, New South Wales, Australia
| | - Kelvin Hill
- Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia.,Stroke Foundation, Melbourne, Victoria, Australia
| | - Catherine D'Este
- National Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Canberra, Australian Capital Territory, Australia.,School of Medicine and Public Health, University of Newcastle, Sydney, New South Wales, Australia
| | - Dominique A Cadilhac
- Stroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University, Level 3, Hudson Institute Building, 27-31 Wright Street, Clayton, Victoria, 3168, Australia.,Centre for Research in Evidence-Based Practice, Bond University, Robina, Queensland, Australia
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