Dynamics behind the scale up of evidence-based obesity prevention: protocol for a multi-site case study of an electronic
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Dynamics behind the scale up of evidencebased obesity prevention: protocol for a multi-site case study of an electronic implementation monitoring system in health promotion practice Kathleen P. Conte1, Sisse Groen1, Victoria Loblay1, Amanda Green2, Andrew Milat3, Lina Persson3, Christine Innes-Hughes2, Jo Mitchell4, Sarah Thackway3, Mandy Williams5 and Penelope Hawe1*
Abstract Background: The effectiveness of many interventions to promote health and prevent disease has been well established. The imperative has therefore shifted from amassing evidence about efficacy to scale-up to maximise population-level health gains. Electronic implementation monitoring, or ‘e-monitoring’, systems have been designed to assist and track the delivery of preventive policies and programs. However, there is little evidence on whether emonitoring systems improve the dissemination, adoption, and ongoing delivery of evidence-based preventive programs. Also, given considerable difficulties with e-monitoring systems in the clinical sector, scholars have called for a more sophisticated re-examination of e-monitoring’s role in enhancing implementation. Methods: In the state of New South Wales (NSW), Australia, the Population Health Information Management System (PHIMS) was created to support the dissemination of obesity prevention programs to 6000 childcare centres and elementary schools across all 15 local health districts. We have established a three-way university-policymakerpractice research partnership to investigate the impact of PHIMS on practice, how PHIMS is used, and how achievement of key performance indicators of program adoption may be associated with local contextual factors. Our methods encompass ethnographic observation, key informant interviews and participatory workshops for data interpretation at a state and local level. We use an on-line social network analysis of the collaborative relationships across local health district health promotion teams to explore the relationship between PHIMS use and the organisational structure of practice. (Continued on next page)
* Correspondence: [email protected] 1 Menzies Centre for Health Policy, School of Public Health & The Australian Prevention Partnership Centre, University of Sydney, Level 6, Charles Perkins Centre, D17, Sydney, NSW 2006, Australia Full list of author information is available at the end of the article © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Conte et al. Implementation
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