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Ziam S, Lanoue S, McSween-Cadieux E, Gervais MJ, Lane J, Gaid D, Chouinard LJ, Dagenais C, Ridde V, Jean E, Fleury FC, Hong QN, Prigent O. A scoping review of theories, models and frameworks used or proposed to evaluate knowledge mobilization strategies. Health Res Policy Syst 2024; 22:8. [PMID: 38200612 PMCID: PMC10777658 DOI: 10.1186/s12961-023-01090-7] [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: 06/16/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Evaluating knowledge mobilization strategies (KMb) presents challenges for organizations seeking to understand their impact to improve KMb effectiveness. Moreover, the large number of theories, models, and frameworks (TMFs) available can be confusing for users. Therefore, the purpose of this scoping review was to identify and describe the characteristics of TMFs that have been used or proposed in the literature to evaluate KMb strategies. METHODS A scoping review methodology was used. Articles were identified through searches in electronic databases, previous reviews and reference lists of included articles. Titles, abstracts and full texts were screened in duplicate. Data were charted using a piloted data charting form. Data extracted included study characteristics, KMb characteristics, and TMFs used or proposed for KMb evaluation. An adapted version of Nilsen (Implement Sci 10:53, 2015) taxonomy and the Expert Recommendations for Implementing Change (ERIC) taxonomy (Powell et al. in Implement Sci 10:21, 2015) guided data synthesis. RESULTS Of the 4763 search results, 505 were retrieved, and 88 articles were eligible for review. These consisted of 40 theoretical articles (45.5%), 44 empirical studies (50.0%) and four protocols (4.5%). The majority were published after 2010 (n = 70, 79.5%) and were health related (n = 71, 80.7%). Half of the studied KMb strategies were implemented in only four countries: Canada, Australia, the United States and the United Kingdom (n = 42, 47.7%). One-third used existing TMFs (n = 28, 31.8%). According to the adapted Nilsen taxonomy, process models (n = 34, 38.6%) and evaluation frameworks (n = 28, 31.8%) were the two most frequent types of TMFs used or proposed to evaluate KMb. According to the ERIC taxonomy, activities to "train and educate stakeholders" (n = 46, 52.3%) were the most common, followed by activities to "develop stakeholder interrelationships" (n = 23, 26.1%). Analysis of the TMFs identified revealed relevant factors of interest for the evaluation of KMb strategies, classified into four dimensions: context, process, effects and impacts. CONCLUSIONS This scoping review provides an overview of the many KMb TMFs used or proposed. The results provide insight into potential dimensions and components to be considered when assessing KMb strategies.
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Affiliation(s)
- Saliha Ziam
- School of Business Administration, Université TÉLUQ, Montreal, Canada.
| | - Sèverine Lanoue
- Department of School and Social Adaptation Studies, Faculty of Education, Université de Sherbrooke, Sherbrooke, Canada
| | - Esther McSween-Cadieux
- Department of School and Social Adaptation Studies, Faculty of Education, Université de Sherbrooke, Sherbrooke, Canada
| | | | - Julie Lane
- Department of School and Social Adaptation Studies, Faculty of Education, Université de Sherbrooke, Sherbrooke, Canada
- Centre RBC d'expertise Universitaire en Santé Mentale, Université de Sherbrooke, Sherbrooke, Canada
| | - Dina Gaid
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | | | | | - Valéry Ridde
- Université Paris Cité, IRD (Institute for Research on Sustainable Development, CEPED, Paris, France
- Institute of Health and Development (ISED), Cheikh Anta Diop University, Dakar, Senegal
| | - Emmanuelle Jean
- Public Health Intelligence and Knowledge Translation Division, Public Health Agency of Canada, Ottawa, Canada
| | - France Charles Fleury
- Coordinator of the Interregional Consortium of Knowledge in Health and Social Services (InterS4), Rimouski, Canada
| | - Quan Nha Hong
- School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Ollivier Prigent
- Department of School and Social Adaptation Studies, Faculty of Education, Université de Sherbrooke, Sherbrooke, Canada
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White A, Sabatino SA, White MC, Vinson C, Chambers DA, Richardson LC. Twenty years of collaborative research to enhance community practice for cancer prevention and control. Cancer Causes Control 2023; 34:1-5. [PMID: 37191768 PMCID: PMC10185931 DOI: 10.1007/s10552-023-01700-3] [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: 11/04/2022] [Accepted: 04/10/2023] [Indexed: 05/17/2023]
Abstract
The Cancer Prevention and Control Research Network (CPCRN) was established in 2002 to conduct applied research and undertake related activities to translate evidence into practice, with a special focus on the unmet needs of populations at higher risk of getting cancer and dying from it. A network of academic, public health and community partners, CPCRN is a thematic research network of the Prevention Research Centers Program at the Centers for Disease Control and Prevention (CDC). The National Cancer Institute's Division of Cancer Control and Population Sciences (DCCPS) has been a consistent collaborator. The CPCRN has fostered research on geographically dispersed populations through cross-institution partnerships across the network. Since its inception, the CPCRN has applied rigorous scientific methods to fill knowledge gaps in the application and implementation of evidence-based interventions, and it has developed a generation of leading investigators in the dissemination and implementation of effective public health practices. This article reflects on how CPCRN addressed national priorities, contributed to CDC's programs, emphasized health equity and impacted science over the past twenty years and potential future directions.
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Affiliation(s)
- Arica White
- Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA USA
| | - Susan A. Sabatino
- Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA USA
| | - Mary C. White
- Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA USA
| | - Cynthia Vinson
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - David A. Chambers
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Lisa C. Richardson
- Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA USA
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Wheeler SB, Lee RJ, Young AL, Dodd A, Ellis C, Weiner BJ, Ribisl KM, Adsul P, Birken SA, Fernández ME, Hannon PA, Hébert JR, Ko LK, Seaman A, Vu T, Brandt HM, Williams RS. The special sauce of the Cancer Prevention and Control Research Network: 20 years of lessons learned in developing the evidence base, building community capacity, and translating research into practice. Cancer Causes Control 2023; 34:217-239. [PMID: 37354320 PMCID: PMC10689533 DOI: 10.1007/s10552-023-01691-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/29/2023] [Indexed: 06/26/2023]
Abstract
PURPOSE The Cancer Prevention and Control Research Network (CPCRN) is a national network focused on accelerating the translation of cancer prevention and control research evidence into practice through collaborative, multicenter projects in partnership with diverse communities. From 2003 to 2022, the CPCRN included 613 members. METHODS We: (1) characterize the extent and nature of collaborations through a bibliometric analysis of 20 years of Network publications; and (2) describe key features and functions of the CPCRN as related to organizational structure, productivity, impact, and focus on health equity, partnership development, and capacity building through analysis of 22 in-depth interviews and review of Network documentation. RESULTS Searching Scopus for multicenter publications among the CPCRN members from their time of Network engagement yielded 1,074 collaborative publications involving two or more members. Both the overall number and content breadth of multicenter publications increased over time as the Network matured. Since 2004, members submitted 123 multicenter grant applications, of which 72 were funded (59%), totaling more than $77 million secured. Thematic analysis of interviews revealed that the CPCRN's success-in terms of publication and grant productivity, as well as the breadth and depth of partnerships, subject matter expertise, and content area foci-is attributable to: (1) its people-the inclusion of members representing diverse content-area interests, multidisciplinary perspectives, and geographic contexts; (2) dedicated centralized structures and processes to enable and evaluate collaboration; and (3) focused attention to strategically adapting to change. CONCLUSION CPCRN's history highlights organizational, strategic, and practical lessons learned over two decades to optimize Network collaboration for enhanced collective impact in cancer prevention and control. These insights may be useful to others seeking to leverage collaborative networks to address public health problems.
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Affiliation(s)
- Stephanie B Wheeler
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB#7411, McGavran Greenberg Hall, Chapel Hill, NC, 27599-7411, USA.
| | - Rebecca J Lee
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexa L Young
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Adam Dodd
- Impact Measurement and Visualization Team, Health Sciences Library, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charlotte Ellis
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB#7411, McGavran Greenberg Hall, Chapel Hill, NC, 27599-7411, USA
| | - Bryan J Weiner
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Kurt M Ribisl
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Prajakta Adsul
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
- Cancer Control and Population Sciences Research Program, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA
| | - Sarah A Birken
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - María E Fernández
- Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Peggy A Hannon
- Health Promotion Research Center, Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - James R Hébert
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Department of Nutrition, Connecting Health Innovations LLC, Columbia, SC, USA
| | - Linda K Ko
- Health Promotion Research Center, Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Aaron Seaman
- Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA
| | - Thuy Vu
- Health Promotion Research Center, Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Heather M Brandt
- HPV Cancer Prevention Program, St. Jude Children's Research Hospital, Memphis, TN, USA
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Rebecca S Williams
- Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Vasquez T, Levi R, Akers M, Lowry-Warnock A, Blanck HM, Seligman H. The value of the Nutrition and Obesity Policy Research and Evaluation Network in advancing the evidence base for effective nutrition and obesity policy: assessment using the Consolidated Framework for Collaborative Research. BMC Public Health 2023; 23:375. [PMID: 36814233 PMCID: PMC9944375 DOI: 10.1186/s12889-023-15148-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 01/27/2023] [Indexed: 02/24/2023] Open
Abstract
INTRODUCTION Addressing nutrition disparities and preventing obesity require multi-level interventions, including policies that address the nutrition environment and other social determinants of health. The Nutrition and Obesity Policy Research Evaluation Network (NOPREN) was established in 2009 to conduct transdisciplinary research and accelerate the translation and implementation of science-based policy interventions. This study examined NOPREN's collaborative practices and identified opportunities to improve network impact. METHODS Using a mixed-methods approach, we combined quantitative survey data (n = 106) and in-depth, qualitative interviews (n = 18) to evaluate the experiences of NOPREN members and understand the extent to which NOPREN was achieving its goals. RESULTS Using the Consolidated Framework for Collaborative Research (CFCR), quantitative and qualitative results were organized into 11 themes. We find that NOPREN's structure and standardized processes facilitate connections to individuals and resources, foster relationships, and support effective cross-sector collaborations. Areas of improvement include capacity building and a more intentional approach towards recruitment of a diverse membership. CONCLUSION A collaborative research network can build synergy across sectors and accelerate knowledge transfer. These findings will be used to inform the network's strategic priorities to maximize impact. Findings may also inform similar collaborative efforts for addressing complex public health problems.
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Affiliation(s)
- Taylor Vasquez
- University of California and San Francisco, San Francisco, CA, USA.
| | - Ronli Levi
- University of California and San Francisco, San Francisco, CA, USA
| | - Melissa Akers
- University of California and San Francisco, San Francisco, CA, USA
| | - Amy Lowry-Warnock
- Centers for Disease Control and Prevention, Division of Nutrition, Physical Activity, and Obesity, Atlanta, GA, 30341, USA
| | - Heidi M Blanck
- Centers for Disease Control and Prevention, Division of Nutrition, Physical Activity, and Obesity, Atlanta, GA, 30341, USA
- United States Public Health Service, Rockville, MD, USA
| | - Hilary Seligman
- University of California and San Francisco, San Francisco, CA, USA
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Ari MD, Iskander J, Araujo J, Casey C, Kools J, Chen B, Swain R, Kelly M, Popovic T. A science impact framework to measure impact beyond journal metrics. PLoS One 2020; 15:e0244407. [PMID: 33351845 PMCID: PMC7755179 DOI: 10.1371/journal.pone.0244407] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 12/08/2020] [Indexed: 11/19/2022] Open
Abstract
Measuring the impact of public health science or research is important especially when it comes to health outcomes. Achieving the desired health outcomes take time and may be influenced by several contributors, making attribution of credit to any one entity or effort problematic. Here we offer a science impact framework (SIF) for tracing and linking public health science to events and/or actions with recognized impact beyond journal metrics. The SIF was modeled on the Institute of Medicine's (IOM) Degrees of Impact Thermometer, but differs in that SIF is not incremental, not chronological, and has expanded scope. The SIF recognizes five domains of influence: disseminating science, creating awareness, catalyzing action, effecting change and shaping the future (scope differs from IOM). For public health, the goal is to achieve one or more specific health outcomes. What is unique about this framework is that the focus is not just on the projected impact or outcome but rather the effects that are occurring in real time with the recognition that the measurement field is complex, and it takes time for the ultimate outcome to occur. The SIF is flexible and can be tailored to measure the impact of any scientific effort: from complex initiatives to individual publications. The SIF may be used to measure impact prospectively of an ongoing or new body of work (e.g., research, guidelines and recommendations, or technology) and retrospectively of completed and disseminated work, through linking of events using indicators that are known and have been used for measuring impact. Additionally, linking events offers an approach to both tell our story and also acknowledge other players in the chain of events. The value added by science can easily be relayed to the scientific community, policy makers and the public.
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Affiliation(s)
- Mary D. Ari
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - John Iskander
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - John Araujo
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - Christine Casey
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - John Kools
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - Bin Chen
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - Robert Swain
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - Miriam Kelly
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
| | - Tanja Popovic
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, United States of America
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