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Updated: Oct 10, 2025

Determining Pain Detection and Tolerance Thresholds Using an Integrated, Multi-Modal Pain Task Battery
Published on: April 14, 2016
Establishing consensus on key elements and implementation enablers of community-based pain programs to support
Pippy Walker1, Simone De Morgan2, Andrew Wilson2
1Menzies Centre for Health Policy and Economics, School of Public Health, Faculty of Medicine and Health, University of Sydney, Charles Perkins Centre D17, Camperdown, NSW 2006, Australia; and The Australian Prevention Partnership Centre based at the Sax Institute, Level 3, 30C Wentworth Street, Glebe, NSW 2037, Australia; and Corresponding author.
Abstract:
To address the growing burden of chronic pain, there is a need for national scale-up of community-based pain programs. Primary health networks (PHNs) are best placed to support this scale-up as commissioning bodies of health services. The aim of this eDelphi study was to establish expert consensus on best practice key elements of community-based pain programs and enablers important for program implementation and sustainability to support PHN decision making. A panel of experts was invited to complete three online survey rounds as part of a reactive eDelphi approach to provide feedback on the relevance and importance of proposed key elements and implementation enablers of community-based pain programs. Consensus of 70% agreement by experts was required for each survey round for items to remain, with comments from experts considered by the research team to agree on wording changes and the addition of new items. Ten experts (62.5%) completed all three survey rounds. Expert feedback resulted in a list of 18 best practice key elements of community-based pain program design and 14 program implementation enablers. Changes suggested by experts included the moving of items between lists, rephrasing of items and the addition of new items. The eDelphi results will serve as a resource for PHNs considering the commissioning of community-based pain programs and inform future research to assess the suitability and scalability of existing programs.
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