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Insight for Knowledge Brokers: Factors Predicting Relationships with Federal Staffers

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Title: Insight for Knowledge Brokers: Factors Predicting Relationships with Federal Staffers
Language: English
Authors: Patrick O’Neill, Jessica Pugel, Elizabeth C. Long, D. Max Crowley, Taylor Scott
Source: Evidence & Policy: A Journal of Research, Debate and Practice. 2025 21(1):71-86.
Availability: Policy Press, an imprint of Bristol University Press. University of Bristol, 1-9 Old Park Hill, Bristol BS2 8BB, UK. Tel: +44-117-954-5940; e-mail: pp-info@policypress.co.uk; Web site: https://policy.bristoluniversitypress.co.uk/journals/evidence-and-policy
Peer Reviewed: Y
Page Count: 16
Publication Date: 2025
Sponsoring Agency: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (DHHS/NIH)
National Institute on Drug Abuse (NIDA) (DHHS/PHS)
Contract Number: P50HD089922
2P50HD08992206
Document Type: Journal Articles
Reports - Research
Descriptors: Knowledge Management, Predictor Variables, Educational Research, Research Utilization, Federal Government, Government Employees, Meetings, Interprofessional Relationship, Politics, State Policy, Public Policy
DOI: 10.1332/17442648Y2024D000000032
ISSN: 1744-2648
1744-2656
Abstract: Background: In theory and practice, it is understood that personal relationships play a role in the effectiveness of translational models that bridge research and policy. These models can be made more efficient by understanding factors impacting relationships between policy-making players and third-party knowledge brokers. Aims and objectives: This study investigates a range of personal and office-level characteristics in predicting initial meetings and sustained relationships between federal staffers and knowledge brokers. Methods: A public affairs database, Quorum, was used to pull data on staffers who were contacted between September 2021 and August 2022 during an optimisation phase of the Research-to-Policy Collaboration (RPC). Logistic regression models were used to understand the impact of the characteristics on outcomes such as attending initial meetings and attending meetings facilitated by the RPC. Findings: Mid-level staffers and democratic staffers were more likely to meet with RPC staff. Office tenure was predictive of lower odds of meeting with RPC staff. For significant associations, the sample was stratified by political party to determine if the results differed by party. Discussion and conclusions: Together, these results suggest there are both personal and office-level characteristics affecting the federal staffers' engagement with knowledge brokers. This work further informs efforts to bridge the gap between science and policy by informing knowledge brokers which offices and staffers they may want to approach.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1462940
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22Patrick+O%27Neill%22">Patrick O’Neill</searchLink><br /><searchLink fieldCode="AR" term="%22Jessica+Pugel%22">Jessica Pugel</searchLink><br /><searchLink fieldCode="AR" term="%22Elizabeth+C%2E+Long%22">Elizabeth C. Long</searchLink><br /><searchLink fieldCode="AR" term="%22D%2E+Max+Crowley%22">D. Max Crowley</searchLink><br /><searchLink fieldCode="AR" term="%22Taylor+Scott%22">Taylor Scott</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Evidence+%26+Policy%3A+A+Journal+of+Research%2C+Debate+and+Practice%22"><i>Evidence & Policy: A Journal of Research, Debate and Practice</i></searchLink>. 2025 21(1):71-86.
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  Data: Policy Press, an imprint of Bristol University Press. University of Bristol, 1-9 Old Park Hill, Bristol BS2 8BB, UK. Tel: +44-117-954-5940; e-mail: pp-info@policypress.co.uk; Web site: https://policy.bristoluniversitypress.co.uk/journals/evidence-and-policy
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  Data: 16
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  Data: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (DHHS/NIH)<br />National Institute on Drug Abuse (NIDA) (DHHS/PHS)
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  Data: <searchLink fieldCode="DE" term="%22Knowledge+Management%22">Knowledge Management</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Utilization%22">Research Utilization</searchLink><br /><searchLink fieldCode="DE" term="%22Federal+Government%22">Federal Government</searchLink><br /><searchLink fieldCode="DE" term="%22Government+Employees%22">Government Employees</searchLink><br /><searchLink fieldCode="DE" term="%22Meetings%22">Meetings</searchLink><br /><searchLink fieldCode="DE" term="%22Interprofessional+Relationship%22">Interprofessional Relationship</searchLink><br /><searchLink fieldCode="DE" term="%22Politics%22">Politics</searchLink><br /><searchLink fieldCode="DE" term="%22State+Policy%22">State Policy</searchLink><br /><searchLink fieldCode="DE" term="%22Public+Policy%22">Public Policy</searchLink>
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  Data: 10.1332/17442648Y2024D000000032
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  Data: 1744-2648<br />1744-2656
– Name: Abstract
  Label: Abstract
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  Data: Background: In theory and practice, it is understood that personal relationships play a role in the effectiveness of translational models that bridge research and policy. These models can be made more efficient by understanding factors impacting relationships between policy-making players and third-party knowledge brokers. Aims and objectives: This study investigates a range of personal and office-level characteristics in predicting initial meetings and sustained relationships between federal staffers and knowledge brokers. Methods: A public affairs database, Quorum, was used to pull data on staffers who were contacted between September 2021 and August 2022 during an optimisation phase of the Research-to-Policy Collaboration (RPC). Logistic regression models were used to understand the impact of the characteristics on outcomes such as attending initial meetings and attending meetings facilitated by the RPC. Findings: Mid-level staffers and democratic staffers were more likely to meet with RPC staff. Office tenure was predictive of lower odds of meeting with RPC staff. For significant associations, the sample was stratified by political party to determine if the results differed by party. Discussion and conclusions: Together, these results suggest there are both personal and office-level characteristics affecting the federal staffers' engagement with knowledge brokers. This work further informs efforts to bridge the gap between science and policy by informing knowledge brokers which offices and staffers they may want to approach.
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        Value: 10.1332/17442648Y2024D000000032
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      – Text: English
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        PageCount: 16
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      – SubjectFull: Knowledge Management
        Type: general
      – SubjectFull: Predictor Variables
        Type: general
      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: Research Utilization
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      – SubjectFull: Federal Government
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      – SubjectFull: Government Employees
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      – SubjectFull: Meetings
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      – SubjectFull: Interprofessional Relationship
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      – SubjectFull: Politics
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      – SubjectFull: State Policy
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      – SubjectFull: Public Policy
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      – TitleFull: Insight for Knowledge Brokers: Factors Predicting Relationships with Federal Staffers
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