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He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries
BACKGROUND: Significant health inequities exist around maternal and infant health for Māori, the indigenous people of Aotearoa New Zealand – and in particular around a premature (preterm) delivery. Māori babies are more likely to be born preterm (8.1%, compared to an overall rate of 7.4%) and they a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963046/ https://www.ncbi.nlm.nih.gov/pubmed/29783963 http://dx.doi.org/10.1186/s12913-018-3179-6 |
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author | Filoche, Sara Cram, Fiona Beard, Angela Sim, Dalice Geller, Stacie Edmonds, Liza Robson, Bridget Lawton, Beverley |
author_facet | Filoche, Sara Cram, Fiona Beard, Angela Sim, Dalice Geller, Stacie Edmonds, Liza Robson, Bridget Lawton, Beverley |
author_sort | Filoche, Sara |
collection | PubMed |
description | BACKGROUND: Significant health inequities exist around maternal and infant health for Māori, the indigenous people of Aotearoa New Zealand – and in particular around a premature (preterm) delivery. Māori babies are more likely to be born preterm (8.1%, compared to an overall rate of 7.4%) and they are more likely to have a preterm death. An essential part of redressing these disparities is to examine the clinical care pathway and outcomes associated with preterm deliveries. This paper describes a protocol utilising national and local health collections to enable such a study. DESIGN: This is a retrospective cohort study comprising 5 years data pertaining to preterm deliveries from 2010 to 2014. These data are generated from linked national administrative and local health information collections to explore a range of neonatal outcomes and infant mortality in relation to the antenatal care pathway and known risk factors for preterm delivery. This study is being conducted within a Kaupapa Māori paradigm that dismisses victim blaming and seeks to intervene at structural levels to improve the health and wellbeing of Māori whānau (family). SIGNIFICANCE OF THE STUDY: Our data-linkage methodology optimises the utility of New Zealand health collections to address a significant health issue. Our findings will fill the information gaps around the burden of preterm delivery by quantifying the incidence of preterm delivery and adverse neonatal and infant outcomes in Aotearoa New Zealand. It will explore access to evidenced based care including use of steroids before birth, and appropriate place of delivery. The results from this study will inform maternity care services to improve management of preterm deliveries – both locally and internationally. This in turn will improve the preterm sequela by reducing the long-term health burden and health inequities. |
format | Online Article Text |
id | pubmed-5963046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59630462018-06-25 He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries Filoche, Sara Cram, Fiona Beard, Angela Sim, Dalice Geller, Stacie Edmonds, Liza Robson, Bridget Lawton, Beverley BMC Health Serv Res Study Protocol BACKGROUND: Significant health inequities exist around maternal and infant health for Māori, the indigenous people of Aotearoa New Zealand – and in particular around a premature (preterm) delivery. Māori babies are more likely to be born preterm (8.1%, compared to an overall rate of 7.4%) and they are more likely to have a preterm death. An essential part of redressing these disparities is to examine the clinical care pathway and outcomes associated with preterm deliveries. This paper describes a protocol utilising national and local health collections to enable such a study. DESIGN: This is a retrospective cohort study comprising 5 years data pertaining to preterm deliveries from 2010 to 2014. These data are generated from linked national administrative and local health information collections to explore a range of neonatal outcomes and infant mortality in relation to the antenatal care pathway and known risk factors for preterm delivery. This study is being conducted within a Kaupapa Māori paradigm that dismisses victim blaming and seeks to intervene at structural levels to improve the health and wellbeing of Māori whānau (family). SIGNIFICANCE OF THE STUDY: Our data-linkage methodology optimises the utility of New Zealand health collections to address a significant health issue. Our findings will fill the information gaps around the burden of preterm delivery by quantifying the incidence of preterm delivery and adverse neonatal and infant outcomes in Aotearoa New Zealand. It will explore access to evidenced based care including use of steroids before birth, and appropriate place of delivery. The results from this study will inform maternity care services to improve management of preterm deliveries – both locally and internationally. This in turn will improve the preterm sequela by reducing the long-term health burden and health inequities. BioMed Central 2018-05-21 /pmc/articles/PMC5963046/ /pubmed/29783963 http://dx.doi.org/10.1186/s12913-018-3179-6 Text en © The Author(s). 2018 Open AccessThis 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. |
spellingShingle | Study Protocol Filoche, Sara Cram, Fiona Beard, Angela Sim, Dalice Geller, Stacie Edmonds, Liza Robson, Bridget Lawton, Beverley He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries |
title | He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries |
title_full | He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries |
title_fullStr | He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries |
title_full_unstemmed | He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries |
title_short | He Tamariki Kokoti Tau-Tackling Preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries |
title_sort | he tamariki kokoti tau-tackling preterm: a data-linkage methodology to explore the clinical care pathway in preterm deliveries |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963046/ https://www.ncbi.nlm.nih.gov/pubmed/29783963 http://dx.doi.org/10.1186/s12913-018-3179-6 |
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