Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/117254
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Type: | Journal article |
Title: | Application of the i-PARIHS framework for enhancing understanding of interactive dissemination to achieve wide-scale improvement in Indigenous primary healthcare |
Author: | Laycock, A. Harvey, G. Percival, N. Cunningham, F. Bailie, J. Matthews, V. Copley, K. Patel, L. Bailie, R. |
Citation: | Health Research Policy and Systems, 2018; 16(1):1-16 |
Publisher: | Springer Nature |
Issue Date: | 2018 |
ISSN: | 1478-4505 1478-4505 |
Statement of Responsibility: | Alison Laycock, Gillian Harvey, Nikki Percival, Frances Cunningham, Jodie Bailie, Veronica Matthews, Kerry Copley, Louise Patel and Ross Bailie |
Abstract: | Background: Participatory research approaches improve the use of evidence in policy, programmes and practice. Few studies have addressed ways to scale up participatory research for wider system improvement or the intensity of effort required. We used the integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework to analyse implementation of an interactive dissemination process engaging stakeholders with continuous quality improvement (CQI) data from Australian Indigenous primary healthcare centres. This paper reports lessons learnt about scaling knowledge translation research, facilitating engagement at a system level and applying the i-PARIHS framework to a system-level intervention. Methods: Drawing on a developmental evaluation of our dissemination process, we conducted a post-hoc analysis of data from project records and interviews with 30 stakeholders working in Indigenous health in different roles, organisation types and settings in one Australian jurisdiction and with national participants. Content-analysed data were mapped onto the i-PARIHS framework constructs to examine factors contributing to the success (or otherwise) of the process. Results: The dissemination process achieved wide reach, with stakeholders using aggregated CQI data to identify system-wide priority evidence-practice gaps, barriers and strategies for improvement across the scope of care. Innovation characteristics influencing success were credible data, online dissemination and recruitment through established networks, research goals aligned with stakeholders' interest in knowledge-sharing and motivation to improve care, and iterative phases of reporting and feedback. The policy environment and infrastructure for CQI, as well as manager support, influenced participation. Stakeholders who actively facilitated organisational- and local-level engagement were important for connecting others with the data and with the externally located research team. Developmental evaluation was facilitative in that it supported real-time adaptation and tailoring to stakeholders and context. Conclusions: A participatory research process was successfully implemented at scale without intense facilitation efforts. These findings broaden the notion of facilitation and support the utility of the i-PARIHS framework for planning participatory knowledge translation research at a system level. Researchers planning similar interventions should work through established networks and identify organisational- or local-level facilitators within the research design. Further research exploring facilitation in system-level interventions and the use of interactive dissemination processes in other settings is needed. |
Keywords: | Dissemination; interactive; i-PARIHS; integrated knowledge translation; continuous quality improvement; Indigenous health; participatory research; system level; engagement; developmental evaluation |
Rights: | © The Author(s). 2018 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. |
DOI: | 10.1186/s12961-018-0392-z |
Grant ID: | http://purl.org/au-research/grants/nhmrc/545267 http://purl.org/au-research/grants/nhmrc/1094595 http://purl.org/au-research/grants/nhmrc/1078927 http://purl.org/au-research/grants/arc/FT100100087 http://purl.org/au-research/grants/nhmrc/1121303 |
Published version: | http://dx.doi.org/10.1186/s12961-018-0392-z |
Appears in Collections: | Aurora harvest 8 Nursing publications |
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hdl_117254.pdf | Published Version | 748.58 kB | Adobe PDF | View/Open |
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