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Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting

BACKGROUND: The value placed on types of evidence within decision-making contexts is highly dependent on individuals, the organizations in which the work and the systems and sectors they operate in. Decision-making processes too are highly contextual. Understanding the values placed on evidence and...

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Autores principales: Armstrong, Rebecca, Waters, Elizabeth, Moore, Laurence, Dobbins, Maureen, Pettman, Tahna, Burns, Cate, Swinburn, Boyd, Anderson, Laurie, Petticrew, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314798/
https://www.ncbi.nlm.nih.gov/pubmed/25496505
http://dx.doi.org/10.1186/s13012-014-0188-7
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author Armstrong, Rebecca
Waters, Elizabeth
Moore, Laurence
Dobbins, Maureen
Pettman, Tahna
Burns, Cate
Swinburn, Boyd
Anderson, Laurie
Petticrew, Mark
author_facet Armstrong, Rebecca
Waters, Elizabeth
Moore, Laurence
Dobbins, Maureen
Pettman, Tahna
Burns, Cate
Swinburn, Boyd
Anderson, Laurie
Petticrew, Mark
author_sort Armstrong, Rebecca
collection PubMed
description BACKGROUND: The value placed on types of evidence within decision-making contexts is highly dependent on individuals, the organizations in which the work and the systems and sectors they operate in. Decision-making processes too are highly contextual. Understanding the values placed on evidence and processes guiding decision-making is crucial to designing strategies to support evidence-informed decision-making (EIDM). This paper describes how evidence is used to inform local government (LG) public health decisions. METHODS: The study used mixed methods including a cross-sectional survey and interviews. The Evidence-Informed Decision-Making Tool (EvIDenT) survey was designed to assess three key domains likely to impact on EIDM: access, confidence, and organizational culture. Other elements included the usefulness and influence of sources of evidence (people/groups and resources), skills and barriers, and facilitators to EIDM. Forty-five LGs from Victoria, Australia agreed to participate in the survey and up to four people from each organization were invited to complete the survey (n = 175). To further explore definitions of evidence and generate experiential data on EIDM practice, key informant interviews were conducted with a range of LG employees working in areas relevant to public health. RESULTS: In total, 135 responses were received (75% response rate) and 13 interviews were conducted. Analysis revealed varying levels of access, confidence and organizational culture to support EIDM. Significant relationships were found between domains: confidence, culture and access to research evidence. Some forms of evidence (e.g. community views) appeared to be used more commonly and at the expense of others (e.g. research evidence). Overall, a mixture of evidence (but more internal than external evidence) was influential in public health decision-making in councils. By comparison, a mixture of evidence (but more external than internal evidence) was deemed to be useful in public health decision-making. CONCLUSIONS: This study makes an important contribution to understanding how evidence is used within the public health LG context. TRIAL REGISTRATION: ACTRN12609000953235. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-014-0188-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-43147982015-02-04 Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting Armstrong, Rebecca Waters, Elizabeth Moore, Laurence Dobbins, Maureen Pettman, Tahna Burns, Cate Swinburn, Boyd Anderson, Laurie Petticrew, Mark Implement Sci Research BACKGROUND: The value placed on types of evidence within decision-making contexts is highly dependent on individuals, the organizations in which the work and the systems and sectors they operate in. Decision-making processes too are highly contextual. Understanding the values placed on evidence and processes guiding decision-making is crucial to designing strategies to support evidence-informed decision-making (EIDM). This paper describes how evidence is used to inform local government (LG) public health decisions. METHODS: The study used mixed methods including a cross-sectional survey and interviews. The Evidence-Informed Decision-Making Tool (EvIDenT) survey was designed to assess three key domains likely to impact on EIDM: access, confidence, and organizational culture. Other elements included the usefulness and influence of sources of evidence (people/groups and resources), skills and barriers, and facilitators to EIDM. Forty-five LGs from Victoria, Australia agreed to participate in the survey and up to four people from each organization were invited to complete the survey (n = 175). To further explore definitions of evidence and generate experiential data on EIDM practice, key informant interviews were conducted with a range of LG employees working in areas relevant to public health. RESULTS: In total, 135 responses were received (75% response rate) and 13 interviews were conducted. Analysis revealed varying levels of access, confidence and organizational culture to support EIDM. Significant relationships were found between domains: confidence, culture and access to research evidence. Some forms of evidence (e.g. community views) appeared to be used more commonly and at the expense of others (e.g. research evidence). Overall, a mixture of evidence (but more internal than external evidence) was influential in public health decision-making in councils. By comparison, a mixture of evidence (but more external than internal evidence) was deemed to be useful in public health decision-making. CONCLUSIONS: This study makes an important contribution to understanding how evidence is used within the public health LG context. TRIAL REGISTRATION: ACTRN12609000953235. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-014-0188-7) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-14 /pmc/articles/PMC4314798/ /pubmed/25496505 http://dx.doi.org/10.1186/s13012-014-0188-7 Text en © Armstrong et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.
spellingShingle Research
Armstrong, Rebecca
Waters, Elizabeth
Moore, Laurence
Dobbins, Maureen
Pettman, Tahna
Burns, Cate
Swinburn, Boyd
Anderson, Laurie
Petticrew, Mark
Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting
title Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting
title_full Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting
title_fullStr Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting
title_full_unstemmed Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting
title_short Understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting
title_sort understanding evidence: a statewide survey to explore evidence-informed public health decision-making in a local government setting
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314798/
https://www.ncbi.nlm.nih.gov/pubmed/25496505
http://dx.doi.org/10.1186/s13012-014-0188-7
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