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Sykes M, Rosenberg-Yunger ZRS, Quigley M, Gupta L, Thomas O, Robinson L, Caulfield K, Ivers N, Alderson S. Exploring the content and delivery of feedback facilitation co-interventions: a systematic review. Implement Sci 2024; 19:37. [PMID: 38807219 PMCID: PMC11134935 DOI: 10.1186/s13012-024-01365-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 05/13/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND Policymakers and researchers recommend supporting the capabilities of feedback recipients to increase the quality of care. There are different ways to support capabilities. We aimed to describe the content and delivery of feedback facilitation interventions delivered alongside audit and feedback within randomised controlled trials. METHODS We included papers describing feedback facilitation identified by the latest Cochrane review of audit and feedback. The piloted extraction proforma was based upon a framework to describe intervention content, with additional prompts relating to the identification of influences, selection of improvement actions and consideration of priorities and implications. We describe the content and delivery graphically, statistically and narratively. RESULTS We reviewed 146 papers describing 104 feedback facilitation interventions. Across included studies, feedback facilitation contained 26 different implementation strategies. There was a median of three implementation strategies per intervention and evidence that the number of strategies per intervention is increasing. Theory was used in 35 trials, although the precise role of theory was poorly described. Ten studies provided a logic model and six of these described their mechanisms of action. Both the exploration of influences and the selection of improvement actions were described in 46 of the feedback facilitation interventions; we describe who undertook this tailoring work. Exploring dose, there was large variation in duration (15-1800 min), frequency (1 to 42 times) and number of recipients per site (1 to 135). There were important gaps in reporting, but some evidence that reporting is improving over time. CONCLUSIONS Heterogeneity in the design of feedback facilitation needs to be considered when assessing the intervention's effectiveness. We describe explicit feedback facilitation choices for future intervention developers based upon choices made to date. We found the Expert Recommendations for Implementing Change to be valuable when describing intervention components, with the potential for some minor clarifications in terms and for greater specificity by intervention providers. Reporting demonstrated extensive gaps which hinder both replication and learning. Feedback facilitation providers are recommended to close reporting gaps that hinder replication. Future work should seek to address the 'opportunity' for improvement activity, defined as factors that lie outside the individual that make care or improvement behaviour possible. REVIEW REGISTRATION The study protocol was published at: https://www.protocols.io/private/4DA5DE33B68E11ED9EF70A58A9FEAC02 .
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Affiliation(s)
| | | | | | | | | | - Lisa Robinson
- Newcastle Upon Tyne NHS Foundation Trust, Newcastle Upon Tyne, UK
| | - Karen Caulfield
- Newcastle Upon Tyne NHS Foundation Trust, Newcastle Upon Tyne, UK
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Crawshaw J, Meyer C, Antonopoulou V, Antony J, Grimshaw JM, Ivers N, Konnyu K, Lacroix M, Presseau J, Simeoni M, Yogasingam S, Lorencatto F. Identifying behaviour change techniques in 287 randomized controlled trials of audit and feedback interventions targeting practice change among healthcare professionals. Implement Sci 2023; 18:63. [PMID: 37990269 PMCID: PMC10664600 DOI: 10.1186/s13012-023-01318-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/19/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Audit and feedback (A&F) is among the most widely used implementation strategies, providing healthcare professionals with summaries of their practice performance to prompt behaviour change and optimize care. Wide variability in effectiveness of A&F has spurred efforts to explore why some A&F interventions are more effective than others. Unpacking the variability of the content of A&F interventions in terms of their component behaviours change techniques (BCTs) may help advance our understanding of how A&F works best. This study aimed to systematically specify BCTs in A&F interventions targeting healthcare professional practice change. METHODS We conducted a directed content analysis of intervention descriptions in 287 randomized trials included in an ongoing Cochrane systematic review update of A&F interventions (searched up to June 2020). Three trained researchers identified and categorized BCTs in all trial arms (treatment & control/comparator) using the 93-item BCT Taxonomy version 1. The original BCT definitions and examples in the taxonomy were adapted to include A&F-specific decision rules and examples. Two additional BCTs ('Education (unspecified)' and 'Feedback (unspecified)') were added, such that 95 BCTs were considered for coding. RESULTS In total, 47/95 BCTs (49%) were identified across 360 treatment arms at least once (median = 5.0, IQR = 2.3, range = 129 per arm). The most common BCTs were 'Feedback on behaviour' (present 89% of the time; e.g. feedback on drug prescribing), 'Instruction on how to perform the behaviour' (71%; e.g. issuing a clinical guideline), 'Social comparison' (52%; e.g. feedback on performance of peers), 'Credible source' (41%; e.g. endorsements from respected professional body), and 'Education (unspecified)' (31%; e.g. giving a lecture to staff). A total of 130/287 (45%) control/comparator arms contained at least one BCT (median = 2.0, IQR = 3.0, range = 0-15 per arm), of which the most common were identical to those identified in treatment arms. CONCLUSIONS A&F interventions to improve healthcare professional practice include a moderate range of BCTs, focusing predominantly on providing behavioural feedback, sharing guidelines, peer comparison data, education, and leveraging credible sources. We encourage the use of our A&F-specific list of BCTs to improve knowledge of what is being delivered in A&F interventions. Our study provides a basis for exploring which BCTs are associated with intervention effectiveness. TRIAL REGISTRATIONS N/A.
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Affiliation(s)
- Jacob Crawshaw
- Centre for Evidence-Based Implementation, Hamilton Health Sciences, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Carly Meyer
- Department of Clinical, Educational and Health Psychology, Centre for Behaviour Change, University College London, London, WC1E 7HB, UK
| | - Vivi Antonopoulou
- Department of Clinical, Educational and Health Psychology, Centre for Behaviour Change, University College London, London, WC1E 7HB, UK
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK
| | - Jesmin Antony
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Jeremy M Grimshaw
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Noah Ivers
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Kristin Konnyu
- Department of Health Services, Policy and Practice, Center for Evidence Synthesis in Health, Brown University School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Meagan Lacroix
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Justin Presseau
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Michelle Simeoni
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
| | - Sharlini Yogasingam
- Centre for Implementation Research, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Fabiana Lorencatto
- Department of Clinical, Educational and Health Psychology, Centre for Behaviour Change, University College London, London, WC1E 7HB, UK.
- NIHR Policy Research Unit in Behavioural Science, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
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Laur C, Ladak Z, Hall A, Solbak NM, Nathan N, Buzuayne S, Curran JA, Shelton RC, Ivers N. Sustainability, spread, and scale in trials using audit and feedback: a theory-informed, secondary analysis of a systematic review. Implement Sci 2023; 18:54. [PMID: 37885018 PMCID: PMC10604689 DOI: 10.1186/s13012-023-01312-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 10/05/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Audit and feedback (A&F) is a widely used implementation strategy to influence health professionals' behavior that is often tested in implementation trials. This study examines how A&F trials describe sustainability, spread, and scale. METHODS This is a theory-informed, descriptive, secondary analysis of an update of the Cochrane systematic review of A&F trials, including all trials published since 2011. Keyword searches related to sustainability, spread, and scale were conducted. Trials with at least one keyword, and those identified from a forward citation search, were extracted to examine how they described sustainability, spread, and scale. Results were qualitatively analyzed using the Integrated Sustainability Framework (ISF) and the Framework for Going to Full Scale (FGFS). RESULTS From the larger review, n = 161 studies met eligibility criteria. Seventy-eight percent (n = 126) of trials included at least one keyword on sustainability, and 49% (n = 62) of those studies (39% overall) frequently mentioned sustainability based on inclusion of relevant text in multiple sections of the paper. For spread/scale, 62% (n = 100) of trials included at least one relevant keyword and 51% (n = 51) of those studies (31% overall) frequently mentioned spread/scale. A total of n = 38 studies from the forward citation search were included in the qualitative analysis. Although many studies mentioned the need to consider sustainability, there was limited detail on how this was planned, implemented, or assessed. The most frequent sustainability period duration was 12 months. Qualitative results mapped to the ISF, but not all determinants were represented. Strong alignment was found with the FGFS for phases of scale-up and support systems (infrastructure), but not for adoption mechanisms. New spread/scale themes included (1) aligning affordability and scalability; (2) balancing fidelity and scalability; and (3) balancing effect size and scalability. CONCLUSION A&F trials should plan for sustainability, spread, and scale so that if the trial is effective, the benefits can continue. A deeper empirical understanding of the factors impacting A&F sustainability is needed. Scalability planning should go beyond cost and infrastructure to consider other adoption mechanisms, such as leadership, policy, and communication, that may support further scalability. TRIAL REGISTRATION Registered with Prospero in May 2022. CRD42022332606.
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Affiliation(s)
- Celia Laur
- Women's College Hospital Institute for Health System Solutions and Virtual Care, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada.
- Institute of Health Policy, Management and Evaluation, Health Sciences Building, University of Toronto, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada.
| | - Zeenat Ladak
- Women's College Hospital Institute for Health System Solutions and Virtual Care, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada
- Ontario Institute for Studies in Education, University of Toronto, 252 Bloor Street West, Toronto, ON, M5S 1V6, Canada
| | - Alix Hall
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- National Centre of Implementation Science, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Newcastle, NSW, Australia
| | - Nathan M Solbak
- Physician Learning Program, Continuing Medical Education and Professional Development, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada
- Health Quality Programs, Queen's University, 92 Barrie Street, Kingston, ON, K7L 3N6, Canada
| | - Nicole Nathan
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- National Centre of Implementation Science, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Newcastle, NSW, Australia
| | - Shewit Buzuayne
- Women's College Hospital Institute for Health System Solutions and Virtual Care, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada
| | - Janet A Curran
- School of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Rachel C Shelton
- Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Noah Ivers
- Women's College Hospital Institute for Health System Solutions and Virtual Care, 76 Grenville Street, Toronto, ON, M5S 1B2, Canada
- Institute of Health Policy, Management and Evaluation, Health Sciences Building, University of Toronto, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada
- Department of Family and Community Medicine, University of Toronto, 500 University Ave, Toronto, M5G 1V7, Canada
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Lynch EA, Bulto LN, Cheng H, Craig L, Luker JA, Bagot KL, Thayabaranathan T, Janssen H, McInnes E, Middleton S, Cadilhac DA. Interventions for the uptake of evidence-based recommendations in acute stroke settings. Cochrane Database Syst Rev 2023; 8:CD012520. [PMID: 37565934 PMCID: PMC10416310 DOI: 10.1002/14651858.cd012520.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
BACKGROUND There is a growing body of research evidence to guide acute stroke care. Receiving care in a stroke unit improves access to recommended evidence-based therapies and patient outcomes. However, even in stroke units, evidence-based recommendations are inconsistently delivered by healthcare workers to patients with stroke. Implementation interventions are strategies designed to improve the delivery of evidence-based care. OBJECTIVES To assess the effects of implementation interventions (compared to no intervention or another implementation intervention) on adherence to evidence-based recommendations by health professionals working in acute stroke units. Secondary objectives were to assess factors that may modify the effect of these interventions, and to determine if single or multifaceted strategies are more effective in increasing adherence with evidence-based recommendations. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, CINAHL, Joanna Briggs Institute and ProQuest databases to 13 April 2022. We searched the grey literature and trial registries and reviewed reference lists of all included studies, relevant systematic reviews and primary studies; contacted corresponding authors of relevant studies and conducted forward citation searching of the included studies. There were no restrictions on language and publication date. SELECTION CRITERIA We included randomised trials and cluster-randomised trials. Participants were health professionals providing care to patients in acute stroke units; implementation interventions (i.e. strategies to improve delivery of evidence-based care) were compared to no intervention or another implementation intervention. We included studies only if they reported on our primary outcome which was quality of care, as measured by adherence to evidence-based recommendations, in order to address the review aim. DATA COLLECTION AND ANALYSIS Two review authors independently selected studies for inclusion, extracted data and assessed risk of bias and certainty of evidence using GRADE. We compared single implementation interventions to no intervention, multifaceted implementation interventions to no intervention, multifaceted implementation interventions compared to single implementation interventions and multifaceted implementation interventions to another multifaceted intervention. Our primary outcome was adherence to evidence-based recommendations. MAIN RESULTS We included seven cluster-randomised trials with 42,489 patient participants from 129 hospitals, conducted in Australia, the UK, China, and the Netherlands. Health professional participants (numbers not specified) included nursing, medical and allied health professionals. Interventions in all studies included implementation strategies targeting healthcare workers; three studies included delivery arrangements, no studies used financial arrangements or governance arrangements. Five trials compared a multifaceted implementation intervention to no intervention, two trials compared one multifaceted implementation intervention to another multifaceted implementation intervention. No included studies compared a single implementation intervention to no intervention or to a multifaceted implementation intervention. Quality of care outcomes (proportions of patients receiving evidence-based care) were included in all included studies. All studies had low risks of selection bias and reporting bias, but high risk of performance bias. Three studies had high risks of bias from non-blinding of outcome assessors or due to analyses used. We are uncertain whether a multifaceted implementation intervention leads to any change in adherence to evidence-based recommendations compared with no intervention (risk ratio (RR) 1.73; 95% confidence interval (CI) 0.83 to 3.61; 4 trials; 76 clusters; 2144 participants, I2 =92%, very low-certainty evidence). Looking at two specific processes of care, multifaceted implementation interventions compared to no intervention probably lead to little or no difference in the proportion of patients with ischaemic stroke who received thrombolysis (RR 1.14, 95% CI 0.94 to 1.37, 2 trials; 32 clusters; 1228 participants, moderate-certainty evidence), but probably do increase the proportion of patients who receive a swallow screen within 24 hours of admission (RR 6.76, 95% CI 4.44 to 10.76; 1 trial; 19 clusters; 1,804 participants; moderate-certainty evidence). Multifaceted implementation interventions probably make little or no difference in reducing the risk of death, disability or dependency compared to no intervention (RR 0.93, 95% CI 0.85 to 1.02; 3 trials; 51 clusters ; 1228 participants; moderate-certainty evidence), and probably make little or no difference to hospital length of stay compared with no intervention (difference in absolute change 1.5 days; 95% CI -0.5 to 3.5; 1 trial; 19 clusters; 1804 participants; moderate-certainty evidence). We do not know if a multifaceted implementation intervention compared to no intervention result in changes to resource use or health professionals' knowledge because no included studies collected these outcomes. AUTHORS' CONCLUSIONS We are uncertain whether a multifaceted implementation intervention compared to no intervention improves adherence to evidence-based recommendations in acute stroke settings, because the certainty of evidence is very low.
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Affiliation(s)
| | - Lemma N Bulto
- Caring Futures Institute, Flinders University, Adelaide, Australia
| | - Heilok Cheng
- Nursing Research Institute, St Vincent's Health Australia, Sydney, Australia
| | - Louise Craig
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Julie A Luker
- Sansom Institute for Health Research, University of South Australia, Adelaide, Australia
| | - Kathleen L Bagot
- Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
| | | | - Heidi Janssen
- School of Health Sciences, The University of Newcastle, Callaghan, Australia
| | - Elizabeth McInnes
- Nursing Research Institute, St Vincent's Health Australia, Sydney, Australia
| | - Sandy Middleton
- Nursing Research Institute, St Vincent's Health Australia, Sydney, Australia
- NSW School of Nursing, Midwifery and Paramedicine, Australian Catholic University, Sydney, Australia
| | - Dominique A Cadilhac
- Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia
- Stroke and Ageing Research, School of Clinical Sciences, Monash University, Clayton, Australia
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Skolarus LE, Bailey S, Corches CL, Sales AE, Lin CC, Bi R, Springer MV, Oliver A, Robles MC, Brooks T, Tupper M, Jaggi M, Al-Qasmi M, Trevithick BA, Barber K, Majjhoo A, Zimmerman MA, Meurer WJ, Brown DL, Morgenstern LB, Burke JF. Association of the Stroke Ready Community-Based Participatory Research Intervention With Incidence of Acute Stroke Thrombolysis in Flint, Michigan. JAMA Netw Open 2023; 6:e2321558. [PMID: 37399011 PMCID: PMC10318478 DOI: 10.1001/jamanetworkopen.2023.21558] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/17/2023] [Indexed: 07/04/2023] Open
Abstract
Importance Acute stroke treatment rates in the US lag behind those in other high-income nations. Objective To assess whether a hospital emergency department (ED) and community intervention was associated with an increased proportion of patients with stroke receiving thrombolysis. Design, Setting, and Participants This nonrandomized controlled trial of the Stroke Ready intervention took place in Flint, Michigan, from October 2017 to March 2020. Participants included adults living in the community. Data analysis was completed from July 2022 to May 2023. Intervention Stroke Ready combined implementation science and community-based participatory research approaches. Acute stroke care was optimized in a safety-net ED, and then a community-wide, theory-based health behavior intervention, including peer-led workshops, mailers, and social media, was conducted. Main Outcomes and Measures The prespecified primary outcome was the proportion of patients hospitalized with ischemic stroke or transient ischemic attack from Flint who received thrombolysis before and after the intervention. The association between thrombolysis and the Stroke Ready combined intervention, including the ED and community components, was estimated using logistic regression models, clustering at the hospital level and adjusting for time and stroke type. In prespecified secondary analyses, the ED and community intervention were explored separately, adjusting for hospital, time, and stroke type. Results In total, 5970 people received in-person stroke preparedness workshops, corresponding to 9.7% of the adult population in Flint. There were 3327 ischemic stroke and TIA visits (1848 women [55.6%]; 1747 Black individuals [52.5%]; mean [SD] age, 67.8 [14.5] years) among patients from Flint seen in the relevant EDs, including 2305 in the preintervention period from July 2010 to September 2017 and 1022 in the postintervention period from October 2017 to March 2020. The proportion of thrombolysis usage increased from 4% in 2010 to 14% in 2020. The combined Stroke Ready intervention was not associated with thrombolysis use (adjusted odds ratio [OR], 1.13; 95% CI, 0.74-1.70; P = .58). The ED component was associated with an increase in thrombolysis use (adjusted OR, 1.63; 95% CI, 1.04-2.56; P = .03), but the community component was not (adjusted OR, 0.99; 95% CI, 0.96-1.01; P = .30). Conclusions and Relevance This nonrandomized controlled trial found that a multilevel ED and community stroke preparedness intervention was not associated with increased thrombolysis treatments. The ED intervention was associated with increased thrombolysis usage, suggesting that implementation strategies in partnership with safety-net hospitals may increase thrombolysis usage. Trial Registration ClinicalTrials.gov Identifier: NCT036455900.
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Affiliation(s)
- Lesli E. Skolarus
- Davee Department of Neurology, Stroke and Vascular Neurology, Northwestern University, Chicago, Illinois
- Department of Neurology, University of Michigan, Ann Arbor
| | | | | | - Anne E. Sales
- Department of Family and Community Medicine, Sinclair School of Nursing, University of Missouri, Columbia
- VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Chun Chieh Lin
- Department of Neurology, University of Michigan, Ann Arbor
- Department of Neurology, Ohio State University, Columbus
| | - Ran Bi
- Department of Neurology, University of Michigan, Ann Arbor
| | | | | | | | - Tia Brooks
- Department of Neurology, University of Michigan, Ann Arbor
| | - Michael Tupper
- Department of Emergency Medicine, University of Michigan, Ann Arbor
- Department of Emergency Medicine, Hurley Medical Center, Flint, Michigan
| | - Michael Jaggi
- Department of Emergency Medicine, University of Michigan, Ann Arbor
- Department of Emergency Medicine, Hurley Medical Center, Flint, Michigan
| | - Mohammed Al-Qasmi
- Department of Emergency Medicine, Hurley Medical Center, Flint, Michigan
| | | | - Kimberly Barber
- Department of Clinical & Academic Research, Genesys Regional Medical Center, Grand Blanc, Michigan
| | - Aniel Majjhoo
- Department of Neurology, McLaren Flint Hospital, Flint, Michigan
| | | | | | - Devin L. Brown
- Department of Neurology, University of Michigan, Ann Arbor
| | - Lewis B. Morgenstern
- Department of Neurology, University of Michigan, Ann Arbor
- Department of Emergency Medicine, University of Michigan, Ann Arbor
- School of Public Health, University of Michigan, Ann Arbor
| | - James F. Burke
- Department of Neurology, University of Michigan, Ann Arbor
- Department of Neurology, Ohio State University, Columbus
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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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Peters S, Sukumar K, Blanchard S, Ramasamy A, Malinowski J, Ginex P, Senerth E, Corremans M, Munn Z, Kredo T, Remon LP, Ngeh E, Kalman L, Alhabib S, Amer YS, Gagliardi A. Trends in guideline implementation: an updated scoping review. Implement Sci 2022; 17:50. [PMID: 35870974 PMCID: PMC9308215 DOI: 10.1186/s13012-022-01223-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 07/11/2022] [Indexed: 11/24/2022] Open
Abstract
Background Guidelines aim to support evidence-informed practice but are inconsistently used without implementation strategies. Our prior scoping review revealed that guideline implementation interventions were not selected and tailored based on processes known to enhance guideline uptake and impact. The purpose of this study was to update the prior scoping review. Methods We searched MEDLINE, EMBASE, AMED, CINAHL, Scopus, and the Cochrane Database of Systematic Reviews for studies published from 2014 to January 2021 that evaluated guideline implementation interventions. We screened studies in triplicate and extracted data in duplicate. We reported study and intervention characteristics and studies that achieved impact with summary statistics. Results We included 118 studies that implemented guidelines on 16 clinical topics. With regard to implementation planning, 21% of studies referred to theories or frameworks, 50% pre-identified implementation barriers, and 36% engaged stakeholders in selecting or tailoring interventions. Studies that employed frameworks (n=25) most often used the theoretical domains framework (28%) or social cognitive theory (28%). Those that pre-identified barriers (n=59) most often consulted literature (60%). Those that engaged stakeholders (n=42) most often consulted healthcare professionals (79%). Common interventions included educating professionals about guidelines (44%) and information systems/technology (41%). Most studies employed multi-faceted interventions (75%). A total of 97 (82%) studies achieved impact (improvements in one or more reported outcomes) including 10 (40% of 25) studies that employed frameworks, 28 (47.45% of 59) studies that pre-identified barriers, 22 (52.38% of 42) studies that engaged stakeholders, and 21 (70% of 30) studies that employed single interventions. Conclusions Compared to our prior review, this review found that more studies used processes to select and tailor interventions, and a wider array of types of interventions across the Mazza taxonomy. Given that most studies achieved impact, this might reinforce the need for implementation planning. However, even studies that did not plan implementation achieved impact. Similarly, even single interventions achieved impact. Thus, a future systematic review based on this data is warranted to establish if the use of frameworks, barrier identification, stakeholder engagement, and multi-faceted interventions are associated with impact. Trial registration The protocol was registered with Open Science Framework (https://osf.io/4nxpr) and published in JBI Evidence Synthesis. Supplementary Information The online version contains supplementary material available at 10.1186/s13012-022-01223-6.
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Hwong WY, Ng SW, Tong SF, Ab Rahman N, Law WC, Kaman Z, Wong SK, Puvanarajah SD, Sivasampu S. Stroke thrombolysis in a middle-income country: A case study exploring the determinants of its implementation. Front Neurol 2022; 13:1048807. [PMID: 36504666 PMCID: PMC9729841 DOI: 10.3389/fneur.2022.1048807] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Translation of evidence into clinical practice for use of intravenous thrombolysis in acute stroke care has been slow, especially across low- and middle-income countries. In Malaysia where the average national uptake was poor among the public hospitals in 2018, one hospital intriguingly showed comparable thrombolysis rates to high-income countries. This study aimed to explore and provide in-depth understanding of factors and explanations for the high rates of intravenous stroke thrombolysis in this hospital. Methods This single case study sourced data using a multimethod approach: (1) semi-structured in-depth interviews and focus group discussions, (2) surveys, and (3) review of medical records. The Tailored Implementation of Chronic Diseases (TICD) framework was used as a guide to understand the determinants of implementation. Twenty-nine participants comprising the Hospital Director, neurologists, emergency physicians, radiologists, pharmacists, nurses and medical assistants (MAs) were included. Thematic analyses were conducted inductively before triangulated with quantitative analyses and document reviews. Results Favorable factors contributing to the uptake included: (1) cohesiveness of team members which comprised of positive interprofessional team dynamics, shared personal beliefs and values, and passionate leadership, and (2) facilitative work process through simplification of workflow and understanding the rationale of the sense of urgency. Patient factors was a limiting factor. Almost two third of ischemic stroke patients arrived at the hospital outside the therapeutic window time, attributing patients' delayed presentation as a main barrier to the uptake of intravenous stroke thrombolysis. One other barrier was the availability of resources, although this was innovatively optimized to minimize its impact on the uptake of the therapy. As such, potential in-hospital delays accounted for only 3.8% of patients who missed the opportunity to receive thrombolysis. Conclusions Despite the ongoing challenges, the success in implementing intravenous stroke thrombolysis as standard of care was attributed to the cohesiveness of team members and having facilitative work processes. For countries of similar settings, plans to improve the uptake of intravenous stroke thrombolysis should consider the inclusion of interventions targeting on these modifiable factors.
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Affiliation(s)
- Wen Yea Hwong
- Institute for Clinical Research, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands,*Correspondence: Wen Yea Hwong ;
| | - Sock Wen Ng
- Institute for Clinical Research, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
| | - Seng Fah Tong
- Department of Family Medicine, Universiti Kebangsaan Malaysia, Selangor, Malaysia
| | - Norazida Ab Rahman
- Institute for Clinical Research, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
| | - Wan Chung Law
- Neurology Unit, Department of Medicine, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia
| | - Zurainah Kaman
- Neurology Unit, Department of Medicine, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia
| | - Sing Keat Wong
- Department of Neurology, Hospital Kuala Lumpur, Ministry of Health Malaysia, Kuala Lumpur, Malaysia
| | - Santhi Datuk Puvanarajah
- Department of Neurology, Hospital Kuala Lumpur, Ministry of Health Malaysia, Kuala Lumpur, Malaysia
| | - Sheamini Sivasampu
- Institute for Clinical Research, National Institutes of Health, Ministry of Health Malaysia, Selangor, Malaysia
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9
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Davis JL, Ayakaka I, Ggita JM, Ochom E, Babirye D, Turimumahoro P, Gupta AJ, Mugabe FR, Armstrong-Hough M, Cattamanchi A, Katamba A. Theory-Informed Design of a Tailored Strategy for Implementing Household TB Contact Investigation in Uganda. Front Public Health 2022; 10:837211. [PMID: 35400072 PMCID: PMC8987305 DOI: 10.3389/fpubh.2022.837211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/28/2022] [Indexed: 11/24/2022] Open
Abstract
Since 2012, the World Health Organization has recommended household contact investigation as an evidence-based intervention to find and treat individuals with active tuberculosis (TB), the most common infectious cause of death worldwide after COVID-19. Unfortunately, uptake of this recommendation has been suboptimal in low- and middle-income countries, where the majority of affected individuals reside, and little is known about how to effectively deliver this service. Therefore, we undertook a systematic process to design a novel, theory-informed implementation strategy to promote uptake of contact investigation in Uganda, using the COM-B (Capability-Opportunity-Motivation-Behavior) model and the Behavior Change Wheel (BCW) framework. We systematically engaged national, clinic-, and community-based stakeholders and collectively re-examined the results of our own formative, parallel mixed-methods studies. We identified three core behaviors within contact investigation that we wished to change, and multiple antecedents (i.e., barriers and facilitators) of those behaviors. The BCW framework helped identify multiple intervention functions targeted to these antecedents, as well as several policies that could potentially enhance the effectiveness of those interventions. Finally, we identified multiple behavior change techniques and policies that we incorporated into a multi-component implementation strategy, which we compared to usual care in a household cluster-randomized trial. We introduced some components in both arms, including those designed to facilitate initial uptake of contact investigation, with improvement relative to historical controls. Other components that we introduced to facilitate completion of TB evaluation—home-based TB-HIV evaluation and follow-up text messaging—returned negative results due to implementation failures. In summary, the Behavior Change Wheel framework provided a feasible and transparent approach to designing a theory-informed implementation strategy. Future studies should explore the use of experimental methods such as micro-randomized trials to identify the most active components of implementation strategies, as well as more creative and entrepreneurial methods such as human-centered design to better adapt the forms and fit of implementation strategies to end users.
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Affiliation(s)
- J. Lucian Davis
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, United States
- Pulmonary, Critical Care, and Sleep Medicine Section, Yale School of Medicine, New Haven, CT, United States
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
- *Correspondence: J. Lucian Davis
| | - Irene Ayakaka
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
- Liverpool School of Tropical Medicine, Liverpool School of Tropical Medicine (LSTM) International Multidisciplinary Programme to Address Lung Health and TB in Africa (IMPALA) Program, Liverpool, United Kingdom
| | - Joseph M. Ggita
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Emmanuel Ochom
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Diana Babirye
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Patricia Turimumahoro
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Amanda J. Gupta
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
| | | | - Mari Armstrong-Hough
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, United States
- Department of Epidemiology, School of Global Public Health, New York University, New York, NY, United States
| | - Adithya Cattamanchi
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, United States
- Curry International Tuberculosis Center, University of California, San Francisco, San Francisco, CA, United States
- Division of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States
| | - Achilles Katamba
- Uganda Tuberculosis Implementation Research Consortium, College of Health Sciences, Makerere University, Kampala, Uganda
- Clinical Epidemiology Unit, Department of Medicine, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
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10
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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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11
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Hood RJ, Maltby S, Keynes A, Kluge MG, Nalivaiko E, Ryan A, Cox M, Parsons MW, Paul CL, Garcia-Esperon C, Spratt NJ, Levi CR, Walker FR. Development and Pilot Implementation of TACTICS VR: A Virtual Reality-Based Stroke Management Workflow Training Application and Training Framework. Front Neurol 2021; 12:665808. [PMID: 34858305 PMCID: PMC8631764 DOI: 10.3389/fneur.2021.665808] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 10/18/2021] [Indexed: 11/13/2022] Open
Abstract
Delays in acute stroke treatment contribute to severe and negative impacts for patients and significant healthcare costs. Variability in clinical care is a contributor to delayed treatment, particularly in rural, regional and remote (RRR) areas. Targeted approaches to improve stroke workflow processes improve outcomes, but numerous challenges exist particularly in RRR settings. Virtual reality (VR) applications can provide immersive and engaging training and overcome some existing training barriers. We recently initiated the TACTICS trial, which is assessing a "package intervention" to support advanced CT imaging and streamlined stroke workflow training. As part of the educational component of the intervention we developed TACTICS VR, a novel VR-based training application to upskill healthcare professionals in optimal stroke workflow processes. In the current manuscript, we describe development of the TACTICS VR platform which includes the VR-based training application, a user-facing website and an automated back-end data analytics portal. TACTICS VR was developed via an extensive and structured scoping and consultation process, to ensure content was evidence-based, represented best-practice and is tailored for the target audience. Further, we report on pilot implementation in 7 Australian hospitals to assess the feasibility of workplace-based VR training. A total of 104 healthcare professionals completed TACTICS VR training. Users indicated a high level of usability, acceptability and utility of TACTICS VR, including aspects of hardware, software design, educational content, training feedback and implementation strategy. Further, users self-reported increased confidence in their ability to make improvements in stroke management after TACTICS VR training (post-training mean ± SD = 4.1 ± 0.6; pre-training = 3.6 ± 0.9; 1 = strongly disagree, 5 = strongly agree). Very few technical issues were identified, supporting the feasibility of this training approach. Thus, we propose that TACTICS VR is a fit-for-purpose, evidence-based training application for stroke workflow optimisation that can be readily deployed on-site in a clinical setting.
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Affiliation(s)
- Rebecca J Hood
- Centre for Advanced Training Systems, The University of Newcastle, Callaghan, NSW, Australia.,School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Steven Maltby
- Centre for Advanced Training Systems, The University of Newcastle, Callaghan, NSW, Australia.,School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Angela Keynes
- Centre for Advanced Training Systems, The University of Newcastle, Callaghan, NSW, Australia.,School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia
| | - Murielle G Kluge
- Centre for Advanced Training Systems, The University of Newcastle, Callaghan, NSW, Australia.,School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia
| | - Eugene Nalivaiko
- Centre for Advanced Training Systems, The University of Newcastle, Callaghan, NSW, Australia.,School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia
| | - Annika Ryan
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,School of Medicine and Public Health, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia
| | - Martine Cox
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,School of Medicine and Public Health, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia
| | - Mark W Parsons
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Christine L Paul
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,School of Medicine and Public Health, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia
| | - Carlos Garcia-Esperon
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Neil J Spratt
- School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Christopher R Levi
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.,Department of Neurology, John Hunter Hospital, New Lambton Heights, NSW, Australia.,The Sydney Partnership for Health, Education, Research and Enterprise (SPHERE), Sydney, NSW, Australia
| | - Frederick R Walker
- Centre for Advanced Training Systems, The University of Newcastle, Callaghan, NSW, Australia.,School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
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12
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Lowther HJ, Harrison J, Hill JE, Gaskins NJ, Lazo KC, Clegg AJ, Connell LA, Garrett H, Gibson JME, Lightbody CE, Watkins CL. The effectiveness of quality improvement collaboratives in improving stroke care and the facilitators and barriers to their implementation: a systematic review. Implement Sci 2021; 16:95. [PMID: 34732211 PMCID: PMC8564999 DOI: 10.1186/s13012-021-01162-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 10/05/2021] [Indexed: 11/29/2022] Open
Abstract
Background To successfully reduce the negative impacts of stroke, high-quality health and care practices are needed across the entire stroke care pathway. These practices are not always shared across organisations. Quality improvement collaboratives (QICs) offer a unique opportunity for key stakeholders from different organisations to share, learn and ‘take home’ best practice examples, to support local improvement efforts. This systematic review assessed the effectiveness of QICs in improving stroke care and explored the facilitators and barriers to implementing this approach. Methods Five electronic databases (MEDLINE, CINAHL, EMBASE, PsycINFO, and Cochrane Library) were searched up to June 2020, and reference lists of included studies and relevant reviews were screened. Studies conducted in an adult stroke care setting, which involved multi-professional stroke teams participating in a QIC, were included. Data was extracted by one reviewer and checked by a second. For overall effectiveness, a vote-counting method was used. Data regarding facilitators and barriers was extracted and mapped to the Consolidated Framework for Implementation Research (CFIR). Results Twenty papers describing twelve QICs used in stroke care were included. QICs varied in their setting, part of the stroke care pathway, and their improvement focus. QIC participation was associated with improvements in clinical processes, but improvements in patient and other outcomes were limited. Key facilitators were inter- and intra-organisational networking, feedback mechanisms, leadership engagement, and access to best practice examples. Key barriers were structural changes during the QIC’s active period, lack of organisational support or prioritisation of QIC activities, and insufficient time and resources to participate in QIC activities. Patient and carer involvement, and health inequalities, were rarely considered. Conclusions QICs are associated with improving clinical processes in stroke care; however, their short-term nature means uncertainty remains as to whether they benefit patient outcomes. Evidence around using a QIC to achieve system-level change in stroke is equivocal. QIC implementation can be influenced by individual and organisational level factors, and future efforts to improve stroke care using a QIC should be informed by the facilitators and barriers identified. Future research is needed to explore the sustainability of improvements when QIC support is withdrawn. Trial registration Protocol registered on PROSPERO (CRD42020193966). Supplementary Information The online version contains supplementary material available at 10.1186/s13012-021-01162-8.
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Affiliation(s)
- Hayley J Lowther
- Applied Health Research hub (AHRh), University of Central Lancashire (UCLan), Preston, UK. .,National Institute for Health Research Applied Research Collaboration North West Coast (NIHR ARC NWC), Liverpool, UK.
| | - Joanna Harrison
- Applied Health Research hub (AHRh), University of Central Lancashire (UCLan), Preston, UK.,National Institute for Health Research Applied Research Collaboration North West Coast (NIHR ARC NWC), Liverpool, UK
| | - James E Hill
- Applied Health Research hub (AHRh), University of Central Lancashire (UCLan), Preston, UK.,National Institute for Health Research Applied Research Collaboration North West Coast (NIHR ARC NWC), Liverpool, UK
| | - Nicola J Gaskins
- Applied Health Research hub (AHRh), University of Central Lancashire (UCLan), Preston, UK.,National Institute for Health Research Applied Research Collaboration North West Coast (NIHR ARC NWC), Liverpool, UK
| | - Kimberly C Lazo
- Applied Health Research hub (AHRh), University of Central Lancashire (UCLan), Preston, UK.,National Institute for Health Research Applied Research Collaboration North West Coast (NIHR ARC NWC), Liverpool, UK
| | - Andrew J Clegg
- Applied Health Research hub (AHRh), University of Central Lancashire (UCLan), Preston, UK.,National Institute for Health Research Applied Research Collaboration North West Coast (NIHR ARC NWC), Liverpool, UK
| | - Louise A Connell
- Faculty of Allied Health and Wellbeing, University of Central Lancashire (UCLan), Preston, UK
| | - Hilary Garrett
- National Institute for Health Research Applied Research Collaboration North West Coast (NIHR ARC NWC), Liverpool, UK
| | - Josephine M E Gibson
- Faculty of Health and Care, University of Central Lancashire (UCLan), Preston, UK
| | | | - Caroline L Watkins
- Applied Health Research hub (AHRh), University of Central Lancashire (UCLan), Preston, UK.,National Institute for Health Research Applied Research Collaboration North West Coast (NIHR ARC NWC), Liverpool, UK.,Faculty of Health and Care, University of Central Lancashire (UCLan), Preston, UK
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13
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Park PSW, Frost T, Tan S, Wong J, Pope A, Dewey HM, Choi PMC. The Quest to Reduce Stroke Treatment Delays at A Melbourne Metropolitan Primary Stroke Centre over the Last Two Decades. Intern Med J 2021; 52:1978-1985. [PMID: 34142750 DOI: 10.1111/imj.15429] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/12/2021] [Accepted: 06/14/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Reducing door-to-needle time (DNT) for intravenous thrombolysis in acute ischaemic stroke can lead to improved patient outcomes. Long-term reports on DNT trends in Australia are lacking in the setting of extension of the thrombolysis time window, addition of mechanical thrombectomy and increasing presentations. AIMS To examine 17-year trends of DNT and identify factors associated with improved DNT at a high-volume, metropolitan primary stroke centre. METHOD Retrospective study between 2003 and 2019 of all thrombolysis cases using departmental stroke database. Since most strategies were implemented from 2012 onwards, intervention period has been defined as period 2012-2019. Factors associated with DNT reduction were examined by regression modelling. RESULTS 15 strategies were identified including alterations to 'Code Stroke' processes. 1250 patients were thrombolysed, with 737 (58.8%) treated during the intervention period. The proportion of DNT ≤60- minutes rose from average of 22.5% during 2003-2012 to 63% during 2015-2018 and 71% in 2019. However, median DNT has only marginally improved from 58 to 51 minutes between 2015 and 2019. Faster DNT was independently associated with two modifiable workflow factors, 'Direct-to-CT' protocol (P < 0.001) and acute stroke nurse presence (P < 0.005). Over time, treated patients were older and less independent (P < 0.001), and the number of annual stroke admissions and 'Code Stroke' activations have risen by 4- and 10-fold to 748 and 1298 by 2019, respectively. CONCLUSIONS Targeted quality improvement initiatives are key to reducing thrombolysis treatment delays in the Australian metropolitan setting. Relative stagnation in DNT improvement is concerning and needs further investigation. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Peter S W Park
- Department of Neurosciences, Box Hill Hospital, Eastern Health, Victoria, Australia.,Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
| | - Tanya Frost
- Department of Neurosciences, Box Hill Hospital, Eastern Health, Victoria, Australia
| | - Shuangyue Tan
- Department of Neurosciences, Box Hill Hospital, Eastern Health, Victoria, Australia
| | - Joseph Wong
- Department of Neurosciences, Box Hill Hospital, Eastern Health, Victoria, Australia
| | - Alun Pope
- Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
| | - Helen M Dewey
- Department of Neurosciences, Box Hill Hospital, Eastern Health, Victoria, Australia.,Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
| | - Philip M C Choi
- Department of Neurosciences, Box Hill Hospital, Eastern Health, Victoria, Australia.,Eastern Health Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
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14
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Kashida YT, Garcia-Esperon C, Lillicrap T, Miteff F, Garcia-Bermejo P, Gangadharan S, Chew BLA, O'Brien W, Evans J, Alanati K, Bivard A, Parsons M, Majersik JJ, Spratt NJ, Levi C. The Need for Structured Strategies to Improve Stroke Care in a Rural Telestroke Network in Northern New South Wales, Australia: An Observational Study. Front Neurol 2021; 12:645088. [PMID: 33897601 PMCID: PMC8064411 DOI: 10.3389/fneur.2021.645088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/11/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: A telestroke network in Northern New South Wales, Australia has been developed since 2017. We theorized that the telestroke network development would drive a progressive improvement in stroke care metrics over time. Aim: This study aimed to describe changes in acute stroke workflow metrics over time to determine whether they improved with network experience. Methods: We prospectively collected data of patients assessed by telestroke who received multimodal computed tomography (mCT) and were diagnosed with ischemic stroke or transient ischemic attack from January 2017 to July 2019. The period was divided into two phases (phase 1: January 2017 – October 2018 and phase 2: November 2018 – July 2019). We compared median door-to-call, door-to-image, and door-to-decision time between the two phases. Results: We included 433 patients (243 in phase 1 and 190 in phase 2). Each spoke site treated 1.5–5.2 patients per month. There were Door-to-call time (median 39 in phase 1, 35 min in phase 2, p = 0.18), and door-to-decision time (median 81.5 vs. 83 min, p = 0.31) were not improved significantly. Similarly, in the reperfusion therapy subgroup, door-to-call time (median 29 vs. 24.5 min, p = 0.12) and door-to-decision time (median 70.5 vs. 67.5 min, p = 0.75) remained substantially unchanged. Regression analysis showed no association between time in the network and door-to-decision time (coefficient 1.5, p = 0.32). Conclusion: In our telestroke network, acute stroke timing metrics did not improve over time. There is the need for targeted education and training focusing on both stroke reperfusion competencies and the technical aspects of telestroke in areas with limited workforce and high turnover.
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Affiliation(s)
- Yumi Tomari Kashida
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
| | | | - Thomas Lillicrap
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
| | - Ferdinand Miteff
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | | | - Shyam Gangadharan
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | | | - William O'Brien
- Department of Neuroscience, Gosford Hospital, Gosford, NSW, Australia
| | - James Evans
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Khaled Alanati
- Department of Neurology, John Hunter Hospital, Newcastle, NSW, Australia
| | - Andrew Bivard
- Department of Neurology, Melbourne Brain Center at Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Mark Parsons
- Department of Neurology, Liverpool hospital, Liverpool, NSW, Australia
| | | | - Neil James Spratt
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
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15
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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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16
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McInnes E, Dale S, Craig L, Phillips R, Fasugba O, Schadewaldt V, Cheung NW, Cadilhac DA, Grimshaw JM, Levi C, Considine J, McElduff P, Gerraty R, Fitzgerald M, Ward J, D’Este C, Middleton S. Process evaluation of an implementation trial to improve the triage, treatment and transfer of stroke patients in emergency departments (T 3 trial): a qualitative study. Implement Sci 2020; 15:99. [PMID: 33148343 PMCID: PMC7640433 DOI: 10.1186/s13012-020-01057-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 10/19/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The implementation of evidence-based protocols for stroke management in the emergency department (ED) for the appropriate triage, administration of tissue plasminogen activator to eligible patients, management of fever, hyperglycaemia and swallowing, and prompt transfer to a stroke unit were evaluated in an Australian cluster-randomised trial (T3 trial) conducted at 26 emergency departments. There was no reduction in 90-day death or dependency nor improved processes of ED care. We conducted an a priori planned process influential factors that impacted upon protocol uptake. METHODS Qualitative face-to-face interviews were conducted with purposively selected ED and stroke clinicians from two high- and two low-performing intervention sites about their views on factors that influenced protocol uptake. All Trial State Co-ordinators (n = 3) who supported the implementation at the 13 intervention sites were also interviewed. Data were analysed thematically using normalisation process theory as a sensitising framework to understand key findings, and compared and contrasted between interviewee groups. RESULTS Twenty-five ED and stroke clinicians, and three Trial State Co-ordinators were interviewed. Three major themes represented key influences on evidence uptake: (i) Readiness to change: reflected strategies to mobilise and engage clinical teams to foster cognitive participation and collective action; (ii) Fidelity to the protocols: reflected that beliefs about the evidence underpinning the protocols impeded the development of a shared understanding about the applicability of the protocols in the ED context (coherence); and (iii) Boundaries of care: reflected that appraisal (reflexive monitoring) by ED and stroke teams about their respective boundaries of clinical practice impeded uptake of the protocols. CONCLUSIONS Despite initial high 'buy-in' from clinicians, a theoretically informed and comprehensive implementation strategy was unable to overcome system and clinician level barriers. Initiatives to drive change and integrate protocols rested largely with senior nurses who had to overcome contextual factors that fell outside their control, including low medical engagement, beliefs about the supporting evidence and perceptions of professional boundaries. To maximise uptake of evidence and adherence to intervention fidelity in complex clinical settings such as ED cost-effective strategies are needed to overcome these barriers. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ( ACTRN12614000939695 ).
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Affiliation(s)
- Elizabeth McInnes
- Nursing Research Institute - St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, School of Nursing, Midwifery & Paramedicine, Australian Catholic University, Level 4, Daniel Mannix Building, Brunswick Street, Fitzroy, Victoria 3065 Australia
| | - Simeon Dale
- Nursing Research Institute - St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Level 5, deLacy Building, Victoria Street, Darlinghurst, New South Wales 2010 Australia
| | - Louise Craig
- Nursing Research Institute - St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Level 5, deLacy Building, Victoria Street, Darlinghurst, New South Wales 2010 Australia
| | - Rosemary Phillips
- Nursing Research Institute - St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Level 5, deLacy Building, Victoria Street, Darlinghurst, New South Wales 2010 Australia
| | - Oyebola Fasugba
- Nursing Research Institute - St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Level 2, Signadou Building, Australian Catholic University, 223 Antill Street, Watson, Australian Capital Territory 2602 Australia
| | - Verena Schadewaldt
- Department of Neurosurgery, University of Melbourne and Royal Melbourne Hospital, Grattan Street, Parkville, Victoria 3050 Australia
- Formerly: Nursing Research Institute - St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Victoria, Australia
| | - N. Wah Cheung
- Centre for Diabetes and Endocrinology Research, Westmead Hospital and University of Sydney, Westmead, Sydney, New South Wales Australia
| | - Dominique A. Cadilhac
- Stroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria Australia
| | - Jeremy M. Grimshaw
- Clinical Epidemiology Program, Ottawa Health Research Institute, Ottawa Hospital – General Campus, Centre for Practice-Changing Research (CPCR), 501 Smyth Road, Room 1286, Ottawa, Ontario K1H 8 L6 Canada
- Department of Medicine, University of Ottawa, 451 Smyth Road, Ottawa, Ontario K1H 8 M5 Canada
| | - Chris Levi
- The Sydney Partnership for Health Education Research & Enterprise (SPHERE), University of New South Wales, Liverpool, New South Wales Australia
| | - Julie Considine
- School of Nursing and Midwifery, Deakin University, Geelong, Victoria Australia
- Centre for Quality and Patient Safety Research, Institute for Health Transformation, Deakin University, Geelong, Victoria 3220 Australia
| | - Patrick McElduff
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales Australia
| | - Richard Gerraty
- Department of Medicine, Monash University, Melbourne, Victoria 3800 Australia
- Neurosciences Clinical Institute, Epworth Hospital, Richmond, Victoria 3121 Australia
| | - Mark Fitzgerald
- Department of Surgery, Central Clinical School, Monash University, Melbourne, Victoria 3800 Australia
- Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, Australia
| | - Jeanette Ward
- Nulungu Research Institute, University of Notre Dame Australia, Broome, Western Australia Australia
| | - Catherine D’Este
- National Centre for Epidemiology and Population Health (NCEPH), Australian National University, Canberra, Australian Capital Territory 0200 Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales 2308 Australia
| | - Sandy Middleton
- Nursing Research Institute - St Vincent’s Health Network Sydney, St Vincent’s Hospital Melbourne & Australian Catholic University, Level 5, deLacy Building, Victoria Street, Darlinghurst, New South Wales 2010 Australia
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17
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Hasnain MG, Paul CL, Attia JR, Ryan A, Kerr E, Oldmeadow C, D'Este CA, Bivard A, Hubbard IJ, Milton AH, Levi CR. Thrombolysis implementation intervention and clinical outcome: a secondary analysis of a cluster randomized trial. BMC Cardiovasc Disord 2020; 20:432. [PMID: 33023494 PMCID: PMC7542125 DOI: 10.1186/s12872-020-01705-9] [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: 05/04/2020] [Accepted: 09/16/2020] [Indexed: 11/22/2022] Open
Abstract
Background Multiple studies have attempted to increase the rate of intravenous thrombolysis for ischemic stroke using interventions to promote adherence to guidelines. Still, many of them did not measure individual-level impact. This study aimed to make a posthoc comparison of the clinical outcomes of patients in the “Thrombolysis ImPlementation in Stroke (TIPS)” study, which aimed to improve rates of intravenous thrombolysis in Australia. Methods A posthoc analysis was conducted using individual-level patient data. Excellent (Three-month post treatment modified Rankin Score 0–2) and poor clinical outcome (Three-month post treatment modified Rankin Score 5–6) and post treatment parenchymal haematoma were the three main outcomes, and a mixed logistic regression model was used to assess the difference between the intervention and control groups. Results There was a non-significant higher odds of having an excellent clinical outcome of 57% (odds ratio: 1.57; 95% CI: 0.73–3.39) and 33% (odds ratio: 1.33; 95% CI: 0.73–2.44) during the active-and post-intervention period respectively, for the intervention compared to the control group. A non-significant lower odds of having a poor clinical outcome was also found in the intervention, relative to control group of 4% (odds ratio: 0.96; 95% CI: 0.56–2.07) and higher odds of having poor outcome of 44% (odds ratio: 1.44 95% CI: 0.61–3.41) during both active and post-intervention period respectively. Similarly, a non-significant lower odds of parenchymal haematoma was also found for the intervention group during the both active- (odds ratio: 0.53; 95% CI: 0.21–1.32) and post-intervention period (odds ratio: 0.96; 95% CI: 0.36–2.52). Conclusion The TIPS multi-component implementation approach was not effective in reducing the odds of post-treatment severe disability at 90 days, or post-thrombolysis hemorrhage. Trial registration Clinical Trial Registration-URL: http://www.anzctr.org.au/ Unique Identifier: ACTRN12613000939796.
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Affiliation(s)
- Md Golam Hasnain
- School of Medicine and Public Health (SMPH), University of Newcastle (UoN), Callaghan, Australia.
| | - Christine L Paul
- School of Medicine and Public Health (SMPH), University of Newcastle (UoN), Callaghan, Australia
| | - John R Attia
- School of Medicine and Public Health (SMPH), University of Newcastle (UoN), Callaghan, Australia.,Hunter Medical Research Institute (HMRI), New Lambton Heights, Australia.,John Hunter Hospital (JHH), New Lambton Heights, Australia
| | - Annika Ryan
- School of Medicine and Public Health (SMPH), University of Newcastle (UoN), Callaghan, Australia
| | - Erin Kerr
- John Hunter Hospital (JHH), New Lambton Heights, Australia
| | | | - Catherine A D'Este
- School of Medicine and Public Health (SMPH), University of Newcastle (UoN), Callaghan, Australia.,National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University (ANU), Canberra, Australia
| | | | - Isobel J Hubbard
- School of Medicine and Public Health (SMPH), University of Newcastle (UoN), Callaghan, Australia
| | | | - Christopher R Levi
- School of Medicine and Public Health (SMPH), University of Newcastle (UoN), Callaghan, Australia.,The Sydney Partnership for Health, Education, Research & Enterprise (SPHERE), Sydney, Australia
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18
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Levi CR, Attia JA, D'Este C, Ryan AE, Henskens F, Kerr E, Parsons MW, Sanson‐Fisher RW, Bladin CF, Lindley RI, Middleton S, Paul CL. Cluster-Randomized Trial of Thrombolysis Implementation Support in Metropolitan and Regional Australian Stroke Centers: Lessons for Individual and Systems Behavior Change. J Am Heart Assoc 2020; 9:e012732. [PMID: 31973599 PMCID: PMC7033885 DOI: 10.1161/jaha.119.012732] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 11/15/2019] [Indexed: 12/21/2022]
Abstract
Background Intravenous thrombolytic therapy (IVT) with tissue plasminogen activator for acute ischemic stroke is underutilized in many parts of the world. Randomized trials to test the effectiveness of thrombolysis implementation strategies are limited. Methods and Results This study aimed to test the effectiveness of a multicomponent, multidisciplinary tissue plasminogen activator implementation package in increasing the proportion of thrombolyzed cases while maintaining accepted benchmarks for low rates of intracranial hemorrhage and high rates of functional outcomes at 3 months. A cluster randomized controlled trial of 20 hospitals in the early stages of thrombolysis implementation across 3 Australian states was undertaken. Monitoring of IVT rates during the baseline period allowed hospitals (the unit of randomization) to be grouped into 3 baseline IVT strata-very low rates (0% to ≤4.0%); low rates (>4.0% to ≤10.0%); and moderate rates (>10.0%). Hospitals were randomized to an implementation package (experimental group) or usual care (control group) using a 1:1 ratio. The 16-month intervention was based on behavioral theory and analysis of the steps, roles, and barriers to rapid assessment for thrombolysis eligibility and involved comprehensive strategies addressing individual and system-level change. The primary outcome was the difference in tissue plasminogen activator proportions between the 2 groups postintervention. The absolute difference in postintervention IVT rates between intervention and control hospitals adjusted for baseline IVT rate and stratum was not significant (primary outcome rate difference=1.1% (95% CI -1.5% to 3.7%; P=0.38). Rates of intracranial hemorrhage remained below international benchmarks. Conclusions The implementation package resulted in no significant change in tissue plasminogen activator implementation, suggesting that ongoing support is needed to sustain initial modifications in behavior. Clinical Trial Registration URL: www.anzctr.org.au Unique identifiers: ACTRN12613000939796 and U1111-1145-6762.
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Affiliation(s)
- Christopher R. Levi
- The University of Newcastle, School of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew Lambton HeightsAustralia
- Hunter New England HealthNew Lambton HeightsAustralia
| | - John A. Attia
- The University of Newcastle, School of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew Lambton HeightsAustralia
| | - Cate D'Este
- The University of Newcastle, School of Medicine and Public HealthCallaghanAustralia
- National Centre for Epidemiology and Population HealthThe Australian National UniversityActonAustralia
| | - Annika E. Ryan
- The University of Newcastle, School of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew Lambton HeightsAustralia
| | - Frans Henskens
- The University of Newcastle, School of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew Lambton HeightsAustralia
| | - Erin Kerr
- Hunter New England HealthNew Lambton HeightsAustralia
| | | | - Robert W. Sanson‐Fisher
- The University of Newcastle, School of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew Lambton HeightsAustralia
| | | | - Richard I. Lindley
- The George Institute for Global HealthSydneyAustralia
- The University of SydneyDarlingtonAustralia
| | - Sandy Middleton
- Nursing Research InstituteAustralian Catholic University and St Vincent's Health AustraliaSydney and DarlinghurstAustralia
| | - Christine L. Paul
- The University of Newcastle, School of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew Lambton HeightsAustralia
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