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Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data

BACKGROUND: There is a pressing need for policy makers to demonstrate progress made on investments in prevention, but few examples of monitoring systems capable of tracking population-level prevention policies and programs and their implementation. In New South Wales, Australia, the scale up of chil...

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Autores principales: Conte, Kathleen, Marks, Leah, Loblay, Victoria, Grøn, Sisse, Green, Amanda, Innes-Hughes, Christine, Milat, Andrew, Persson, Lina, Williams, Mandy, Thackway, Sarah, Mitchell, Jo, Hawe, Penelope
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7291504/
https://www.ncbi.nlm.nih.gov/pubmed/32532242
http://dx.doi.org/10.1186/s12889-020-08644-2
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author Conte, Kathleen
Marks, Leah
Loblay, Victoria
Grøn, Sisse
Green, Amanda
Innes-Hughes, Christine
Milat, Andrew
Persson, Lina
Williams, Mandy
Thackway, Sarah
Mitchell, Jo
Hawe, Penelope
author_facet Conte, Kathleen
Marks, Leah
Loblay, Victoria
Grøn, Sisse
Green, Amanda
Innes-Hughes, Christine
Milat, Andrew
Persson, Lina
Williams, Mandy
Thackway, Sarah
Mitchell, Jo
Hawe, Penelope
author_sort Conte, Kathleen
collection PubMed
description BACKGROUND: There is a pressing need for policy makers to demonstrate progress made on investments in prevention, but few examples of monitoring systems capable of tracking population-level prevention policies and programs and their implementation. In New South Wales, Australia, the scale up of childhood obesity prevention programs to over 6000 childcare centres and primary schools is monitored via an electronic monitoring system, “PHIMS”. METHODS: Via a focussed ethnography with all 14 health promotion implementation teams in the state, we set out to explore what aspects of program implementation are captured via PHIMS, what aspects are not, and the implications for future IT implementation monitoring systems as a result. RESULTS: Practitioners perform a range of activities in the context of delivering obesity prevention programs, but only specific activities are captured via PHIMS. PHIMS thereby defines and standardises certain activities, while non-captured activities can be considered as “extra” work by practitioners. The achievement of implementation targets is influenced by multi-level contextual factors, with only some of the factors accounted for in PHIMS. This evidences incongruencies between work done, recorded and, therefore, recognised. CONCLUSIONS: While monitoring systems cannot and should not capture every aspect of implementation, better accounting for aspects of context and “extra” work involved in program implementation could help illuminate why implementation succeeds or fails. Failure to do so may result in policy makers drawing false conclusions about what is required to achieve implementation targets. Practitioners, as experts of context, are well placed to assist policy makers to develop accurate and meaningful implementation targets and approaches to monitoring.
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spelling pubmed-72915042020-06-12 Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data Conte, Kathleen Marks, Leah Loblay, Victoria Grøn, Sisse Green, Amanda Innes-Hughes, Christine Milat, Andrew Persson, Lina Williams, Mandy Thackway, Sarah Mitchell, Jo Hawe, Penelope BMC Public Health Research Article BACKGROUND: There is a pressing need for policy makers to demonstrate progress made on investments in prevention, but few examples of monitoring systems capable of tracking population-level prevention policies and programs and their implementation. In New South Wales, Australia, the scale up of childhood obesity prevention programs to over 6000 childcare centres and primary schools is monitored via an electronic monitoring system, “PHIMS”. METHODS: Via a focussed ethnography with all 14 health promotion implementation teams in the state, we set out to explore what aspects of program implementation are captured via PHIMS, what aspects are not, and the implications for future IT implementation monitoring systems as a result. RESULTS: Practitioners perform a range of activities in the context of delivering obesity prevention programs, but only specific activities are captured via PHIMS. PHIMS thereby defines and standardises certain activities, while non-captured activities can be considered as “extra” work by practitioners. The achievement of implementation targets is influenced by multi-level contextual factors, with only some of the factors accounted for in PHIMS. This evidences incongruencies between work done, recorded and, therefore, recognised. CONCLUSIONS: While monitoring systems cannot and should not capture every aspect of implementation, better accounting for aspects of context and “extra” work involved in program implementation could help illuminate why implementation succeeds or fails. Failure to do so may result in policy makers drawing false conclusions about what is required to achieve implementation targets. Practitioners, as experts of context, are well placed to assist policy makers to develop accurate and meaningful implementation targets and approaches to monitoring. BioMed Central 2020-06-12 /pmc/articles/PMC7291504/ /pubmed/32532242 http://dx.doi.org/10.1186/s12889-020-08644-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research Article
Conte, Kathleen
Marks, Leah
Loblay, Victoria
Grøn, Sisse
Green, Amanda
Innes-Hughes, Christine
Milat, Andrew
Persson, Lina
Williams, Mandy
Thackway, Sarah
Mitchell, Jo
Hawe, Penelope
Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data
title Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data
title_full Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data
title_fullStr Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data
title_full_unstemmed Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data
title_short Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data
title_sort can an electronic monitoring system capture implementation of health promotion programs? a focussed ethnographic exploration of the story behind program monitoring data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7291504/
https://www.ncbi.nlm.nih.gov/pubmed/32532242
http://dx.doi.org/10.1186/s12889-020-08644-2
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