Insight for knowledge brokers: factors predicting relationships with federal staffers.

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

SUBMITTER: O'Neill P 

PROVIDER: S-EPMC11937546 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature