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Ambasta A, Holroyd-Leduc JM, Pokharel S, Mathura P, Shih AWY, Stelfox HT, Ma I, Harrison M, Manns B, Faris P, Williamson T, Shukalek C, Santana M, Omodon O, McCaughey D, Kassam N, Naugler C. Re-Purposing the Ordering of Routine Laboratory Tests in Hospitalized Medical Patients (RePORT): protocol for a multicenter stepped-wedge cluster randomised trial to evaluate the impact of a multicomponent intervention bundle to reduce laboratory test over-utilization. Implement Sci 2024; 19:45. [PMID: 38956637 PMCID: PMC11221016 DOI: 10.1186/s13012-024-01376-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 06/23/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Laboratory test overuse in hospitals is a form of healthcare waste that also harms patients. Developing and evaluating interventions to reduce this form of healthcare waste is critical. We detail the protocol for our study which aims to implement and evaluate the impact of an evidence-based, multicomponent intervention bundle on repetitive use of routine laboratory testing in hospitalized medical patients across adult hospitals in the province of British Columbia, Canada. METHODS We have designed a stepped-wedge cluster randomized trial to assess the impact of a multicomponent intervention bundle across 16 hospitals in the province of British Columbia in Canada. We will use the Knowledge to Action cycle to guide implementation and the RE-AIM framework to guide evaluation of the intervention bundle. The primary outcome will be the number of routine laboratory tests ordered per patient-day in the intervention versus control periods. Secondary outcome measures will assess implementation fidelity, number of all common laboratory tests used, impact on healthcare costs, and safety outcomes. The study will include patients admitted to adult medical wards (internal medicine or family medicine) and healthcare providers working in these wards within the participating hospitals. After a baseline period of 24 weeks, we will conduct a 16-week pilot at one hospital site. A new cluster (containing approximately 2-3 hospitals) will receive the intervention every 12 weeks. We will evaluate the sustainability of implementation at 24 weeks post implementation of the final cluster. Using intention to treat, we will use generalized linear mixed models for analysis to evaluate the impact of the intervention on outcomes. DISCUSSION The study builds upon a multicomponent intervention bundle that has previously demonstrated effectiveness. The elements of the intervention bundle are easily adaptable to other settings, facilitating future adoption in wider contexts. The study outputs are expected to have a positive impact as they will reduce usage of repetitive laboratory tests and provide empirically supported measures and tools for accomplishing this work. TRIAL REGISTRATION This study was prospectively registered on April 8, 2024, via ClinicalTrials.gov Protocols Registration and Results System (NCT06359587). https://classic. CLINICALTRIALS gov/ct2/show/NCT06359587?term=NCT06359587&recrs=ab&draw=2&rank=1.
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Affiliation(s)
- Anshula Ambasta
- Department of Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada.
- Department of Anesthesia, Pharmacology and Therapeutics, Therapeutics Initiative, University of British Columbia, Vancouver, V6T 1Z4, Canada.
| | - Jayna M Holroyd-Leduc
- Department of Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Surakshya Pokharel
- Department of Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
- Ward of the 21st Century, University of Calgary, GD01, CWPH,Building 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Pamela Mathura
- Department of Medicine, University of Alberta, 116 St & 85 Ave, Edmonton, AB, T6G 2R3, Canada
| | - Andrew Wei-Yeh Shih
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, V6T 1Z4, Canada
| | - Henry T Stelfox
- Faculty of Medicine and Dentistry, University of Alberta, 116 St & 85 Ave, Edmonton, AB, T6G 2R3, Canada
| | - Irene Ma
- Department of Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Mark Harrison
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, V6T 1Z4, Canada
| | - Braden Manns
- Department of Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Peter Faris
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Tyler Williamson
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Caley Shukalek
- Department of Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Maria Santana
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Onyebuchi Omodon
- Department of Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
- Ward of the 21st Century, University of Calgary, GD01, CWPH,Building 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Deirdre McCaughey
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Narmin Kassam
- Department of Medicine, University of Alberta, 116 St & 85 Ave, Edmonton, AB, T6G 2R3, Canada
| | - Chris Naugler
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
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Landis‐Lewis Z, Janda AM, Chung H, Galante P, Cao Y, Krumm AE. Precision feedback: A conceptual model. Learn Health Syst 2024; 8:e10419. [PMID: 39036537 PMCID: PMC11257058 DOI: 10.1002/lrh2.10419] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/23/2024] [Accepted: 03/05/2024] [Indexed: 07/23/2024] Open
Abstract
Introduction When performance data are provided as feedback to healthcare professionals, they may use it to significantly improve care quality. However, the question of how to provide effective feedback remains unanswered, as decades of evidence have produced a consistent pattern of effects-with wide variation. From a coaching perspective, feedback is often based on a learner's objectives and goals. Furthermore, when coaches provide feedback, it is ideally informed by their understanding of the learner's needs and motivation. We anticipate that a "coaching"-informed approach to feedback may improve its effectiveness in two ways. First, by aligning feedback with healthcare professionals' chosen goals and objectives, and second, by enabling large-scale feedback systems to use new types of data to learn what kind of performance information is motivating in general. Our objective is to propose a conceptual model of precision feedback to support these anticipated enhancements to feedback interventions. Methods We iteratively represented models of feedback's influence from theories of motivation and behavior change, visualization, and human-computer interaction. Through cycles of discussion and reflection, application to clinical examples, and software development, we implemented and refined the models in a software application to generate precision feedback messages from performance data for anesthesia providers. Results We propose that precision feedback is feedback that is prioritized according to its motivational potential for a specific recipient. We identified three factors that influence motivational potential: (1) the motivating information in a recipient's performance data, (2) the surprisingness of the motivating information, and (3) a recipient's preferences for motivating information and its visual display. Conclusions We propose a model of precision feedback that is aligned with leading theories of feedback interventions to support learning about the success of feedback interventions. We plan to evaluate this model in a randomized controlled trial of a precision feedback system that enhances feedback emails to anesthesia providers.
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Affiliation(s)
- Zach Landis‐Lewis
- Department of Learning Health SciencesUniversity of MichiganAnn ArborMichiganUSA
| | - Allison M. Janda
- Department of AnesthesiologyUniversity of MichiganAnn ArborMichiganUSA
| | - Hana Chung
- School of InformationUniversity of MichiganAnn ArborMichiganUSA
| | - Patrick Galante
- Department of Learning Health SciencesUniversity of MichiganAnn ArborMichiganUSA
| | - Yidan Cao
- Department of Learning Health SciencesUniversity of MichiganAnn ArborMichiganUSA
| | - Andrew E. Krumm
- Department of Learning Health SciencesUniversity of MichiganAnn ArborMichiganUSA
- School of InformationUniversity of MichiganAnn ArborMichiganUSA
- Department of SurgeryUniversity of MichiganAnn ArborMichiganUSA
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Lastrucci A, Wandael Y, Orlandi G, Barra A, Chiti S, Gigli V, Marletta M, Pelliccia D, Tonietti B, Ricci R, Giansanti D. Precision Workforce Management for Radiographers: Monitoring and Managing Competences with an Automatic Tool. J Pers Med 2024; 14:669. [PMID: 39063923 PMCID: PMC11278459 DOI: 10.3390/jpm14070669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/13/2024] [Accepted: 06/14/2024] [Indexed: 07/28/2024] Open
Abstract
Optimizing work shifts in healthcare is crucial for maintaining high standards of service delivery and fostering professional development. This study delves into the emerging field of skill-oriented work shift optimization, focusing specifically on radiographers within the healthcare sector. Through the development of Skills Retention Monitoring (SRH), this research aims to enhance skill monitoring, workload management, and organizational performance. In this study, several key highlights emerged: (a) Introduction of the SRH tool: The SRH tool represents a resource-efficient solution that harnesses existing software infrastructure. A preliminary version, focusing on the radiographers' professional profile, was released, and after several months of use, it demonstrated effectiveness in optimizing work based on competency monitoring. (b) The SRH tool has thus demonstrated the capacity to generate actionable insights in the organizational context of radiographers. By generating weekly reports, the SRH tool streamlines activity management and optimizes resource allocation within healthcare settings. (c) Application of a Computer-Assisted Web Interviewing (CAWI) tool for pre-release feedback during a training event. (d) Strategic importance of a maintenance and monitoring plan: This plan, rooted in a continuous quality improvement approach and key performance indicators, ensures the sustained effectiveness of the SRH tool. (e) Strategic importance of a transfer plan: Involving professional associations and employing targeted questionnaires, this plan ensures the customization of the tool from the perspective of each profession involved. This is a crucial point, as it will enable the release of tool versions tailored to various professions operating within the hospital sector. As a side result, the tool could allow for a more tailored and personalized medicine both by connecting the insights gathered through the SRH tool with the right competencies for healthcare professionals and with individual patient data. This integration could lead to better-informed decision making, optimizing treatment strategies based on both patient needs and the specific expertise of the healthcare provider. Future directions include deploying the SRH tool within the Pisa hospital network and exploring integration with AI algorithms for further optimization. Overall, this research contributes to advancing work shift optimization strategies and promoting excellence in healthcare service delivery.
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Affiliation(s)
- Andrea Lastrucci
- Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy; (A.L.); (Y.W.); (G.O.); (A.B.); (S.C.); (R.R.)
| | - Yannick Wandael
- Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy; (A.L.); (Y.W.); (G.O.); (A.B.); (S.C.); (R.R.)
| | - Giovanni Orlandi
- Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy; (A.L.); (Y.W.); (G.O.); (A.B.); (S.C.); (R.R.)
| | - Angelo Barra
- Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy; (A.L.); (Y.W.); (G.O.); (A.B.); (S.C.); (R.R.)
| | - Stefano Chiti
- Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy; (A.L.); (Y.W.); (G.O.); (A.B.); (S.C.); (R.R.)
| | - Valentina Gigli
- Staff della Direzione Aziendale, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy; (V.G.); (B.T.)
| | - Massimo Marletta
- Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy; (M.M.); (D.P.)
| | - Davide Pelliccia
- Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy; (M.M.); (D.P.)
| | - Barbara Tonietti
- Staff della Direzione Aziendale, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy; (V.G.); (B.T.)
| | - Renzo Ricci
- Department of Allied Health Professions, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy; (A.L.); (Y.W.); (G.O.); (A.B.); (S.C.); (R.R.)
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Conombo B, Guertin JR, Hoch JS, Grimshaw J, Bérubé M, Malo C, Berthelot S, Lauzier F, Stelfox HT, Turgeon AF, Archambault P, Belcaid A, Moore L. Implementation of an audit and feedback module targeting low-value clinical practices in a provincial trauma quality assurance program: a cost-effectiveness study. BMC Health Serv Res 2024; 24:479. [PMID: 38632593 PMCID: PMC11025277 DOI: 10.1186/s12913-024-10969-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 04/09/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Audit and Feedback (A&F) interventions based on quality indicators have been shown to lead to significant improvements in compliance with evidence-based care including de-adoption of low-value practices (LVPs). Our primary aim was to evaluate the cost-effectiveness of adding a hypothetical A&F module targeting LVPs for trauma admissions to an existing quality assurance intervention targeting high-value care and risk-adjusted outcomes. A secondary aim was to assess how certain A&F characteristics might influence its cost-effectiveness. METHODS We conducted a cost-effectiveness analysis using a probabilistic static decision analytic model in the Québec trauma care continuum. We considered the Québec Ministry of Health perspective. Our economic evaluation compared a hypothetical scenario in which the A&F module targeting LVPs is implemented in a Canadian provincial trauma quality assurance program to a status quo scenario in which the A&F module is not implemented. In scenarios analyses we assessed the impact of A&F characteristics on its cost-effectiveness. Results are presented in terms of incremental costs per LVP avoided. RESULTS Results suggest that the implementation of A&F module (Cost = $1,480,850; Number of LVPs = 6,005) is associated with higher costs and higher effectiveness compared to status quo (Cost = $1,124,661; Number of LVPs = 8,228). The A&F module would cost $160 per LVP avoided compared to status quo. The A&F module becomes more cost-effective with the addition of facilitation visits; more frequent evaluation; and when only high-volume trauma centers are considered. CONCLUSION A&F module targeting LVPs is associated with higher costs and higher effectiveness than status quo and has the potential to be cost-effective if the decision-makers' willingness-to-pay is at least $160 per LVP avoided. This likely represents an underestimate of true ICER due to underestimated costs or missed opportunity costs. Results suggest that virtual facilitation visits, frequent evaluation, and implementing the module in high-volume centers can improve cost-effectiveness.
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Affiliation(s)
- Blanchard Conombo
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada
- Population Health and Optimal Health Practices Research Unit, Trauma - Emergency - Critical Care Medicine, Quebec University Hospital, Centre de Recherche du CHU de Québec-Université Laval, 18E Rue, Local H-012a, Québec City, Québec, 1401G1J 1Z4, Canada
| | - Jason R Guertin
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada
| | - Jeffrey S Hoch
- Division of Health Policy and Management, Department of Public Health Sciences, University of California at Davis, Davis, CA, USA
| | - Jeremy Grimshaw
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Mélanie Bérubé
- Population Health and Optimal Health Practices Research Unit, Trauma - Emergency - Critical Care Medicine, Quebec University Hospital, Centre de Recherche du CHU de Québec-Université Laval, 18E Rue, Local H-012a, Québec City, Québec, 1401G1J 1Z4, Canada
- Faculty of Nursing, Université Laval, Québec City, Québec, Canada
| | - Christian Malo
- Faculty of Nursing, Université Laval, Québec City, Québec, Canada
| | - Simon Berthelot
- Population Health and Optimal Health Practices Research Unit, Trauma - Emergency - Critical Care Medicine, Quebec University Hospital, Centre de Recherche du CHU de Québec-Université Laval, 18E Rue, Local H-012a, Québec City, Québec, 1401G1J 1Z4, Canada
- Department of Family Medicine and Emergency Medicine, Université Laval, Québec City, Québec, Canada
- Centre de Recherche Intégrée Pour Un Système Apprenant en Santé Et Services Sociaux, Centre Intégré de Santé Et de Services Sociaux de Chaudière-Appalaches, Lévis, Québec, Canada
| | - François Lauzier
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Henry T Stelfox
- Department of Critical Care Medicine, Medicine and Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Alexis F Turgeon
- Population Health and Optimal Health Practices Research Unit, Trauma - Emergency - Critical Care Medicine, Quebec University Hospital, Centre de Recherche du CHU de Québec-Université Laval, 18E Rue, Local H-012a, Québec City, Québec, 1401G1J 1Z4, Canada
- Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Patrick Archambault
- Department of Family Medicine and Emergency Medicine, Université Laval, Québec City, Québec, Canada
- VITAM-Centre de Recherche en Santé Durable, Québec City, Québec, Canada
| | - Amina Belcaid
- Population Health and Optimal Health Practices Research Unit, Trauma - Emergency - Critical Care Medicine, Quebec University Hospital, Centre de Recherche du CHU de Québec-Université Laval, 18E Rue, Local H-012a, Québec City, Québec, 1401G1J 1Z4, Canada
| | - Lynne Moore
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.
- Population Health and Optimal Health Practices Research Unit, Trauma - Emergency - Critical Care Medicine, Quebec University Hospital, Centre de Recherche du CHU de Québec-Université Laval, 18E Rue, Local H-012a, Québec City, Québec, 1401G1J 1Z4, Canada.
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Anders A. Reconsidering performance management to support innovative changes in health care services. J Health Organ Manag 2024; 38:125-142. [PMID: 38546186 PMCID: PMC10988776 DOI: 10.1108/jhom-12-2022-0379] [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: 01/02/2023] [Revised: 12/15/2023] [Accepted: 02/18/2024] [Indexed: 04/05/2024]
Abstract
PURPOSE A large number of studies indicate that coercive forms of organizational control and performance management in health care services often backfire and initiate dysfunctional consequences. The purpose of this article is to discuss new approaches to performance management in health care services when the purpose is to support innovative changes in the delivery of services. DESIGN/METHODOLOGY/APPROACH The article represents cross-boundary work as the theoretical and empirical material used to discuss and reconsider performance management comes from several relevant research disciplines, including systematic reviews of audit and feedback interventions in health care and extant theories of human motivation and organizational control. FINDINGS An enabling approach to performance management in health care services can potentially contribute to innovative changes. Key design elements to operationalize such an approach are a formative and learning-oriented use of performance measures, an appeal to self- and social-approval mechanisms when providing feedback and support for local goals and action plans that fit specific conditions and challenges. ORIGINALITY/VALUE The article suggests how to operationalize an enabling approach to performance management in health care services. The framework is consistent with new governance and managerial approaches emerging in public sector organizations more generally, supporting a higher degree of professional autonomy and the use of nonfinancial incentives.
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Affiliation(s)
- Anell Anders
- Department of Business Administration, Lund University
School of Economics and Management, Lund, Sweden
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Desveaux L, Ivers N. Practice or perfect? Coaching for a growth mindset to improve the quality of healthcare. BMJ Qual Saf 2024:bmjqs-2023-016456. [PMID: 38355297 DOI: 10.1136/bmjqs-2023-016456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 01/28/2024] [Indexed: 02/16/2024]
Affiliation(s)
- Laura Desveaux
- Trillium Health Partners Institute for Better Health, Mississauga, Ontario, Canada
- Institute for Health Policy, Management, and Evaluation, University of Toronto Dalla Lana School of Public Health, Toronto, Ontario, Canada
| | - Noah Ivers
- Women's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, Ontario, Canada
- Department of Family & Community Medicine, University of Toronto, Toronto, Ontario, Canada
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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. Correction: Identifying behaviour change techniques in 287 randomized controlled trials of audit and feedback interventions targeting practice change among healthcare professionals. Implement Sci 2023; 18:73. [PMID: 38111031 PMCID: PMC10726500 DOI: 10.1186/s13012-023-01328-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023] Open
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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