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Who runs public health? A mixed-methods study combining qualitative and network analyses

Research output: Contribution to journalCommentary/debatepeer-review

Abstract

BackgroundPersistent health inequalities encourage researchers to identify new ways of understanding the policy process. Informal relationships are implicated in finding evidence and making decisions for public health policy (PHP), but few studies use specialized methods to identify key actors in the policy process.MethodsWe combined network and qualitative data to identify the most influential individuals in PHP in a UK conurbation and describe their strategies to influence policy. Network data were collected by asking for nominations of powerful and influential people in PHP (n = 152, response rate 80%), and 23 semi-structured interviews were analysed using a framework approach.ResultsThe most influential PHP makers in this conurbation were mid-level managers in the National Health Service and local government, characterized by managerial skills: controlling policy processes through gate keeping key organizations, providing policy content and managing selected experts and executives to lead on policies. Public health professionals and academics are indirectly connected to policy via managers.ConclusionsThe most powerful individuals in public health are managers, not usually considered targets for research. As we show, they are highly influential through all stages of the policy process. This study shows the importance of understanding the daily activities of influential policy individuals. © The Author 2013, Published by Oxford University Press on behalf of Faculty of Public Health.
Original languageEnglish
Pages (from-to)453-459
Number of pages6
JournalJournal of Public Health
Volume35
Issue number3
DOIs
Publication statusPublished - Sept 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • decision-making
  • evidence-based policy
  • public health policy
  • social network analysis

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