Cargando…

Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation

BACKGROUND: Rates of diabetes in pregnancy are disproportionately higher among Aboriginal than non-Aboriginal women in Australia. Additional challenges are posed by the context of Aboriginal health including remoteness and disadvantage. A clinical register was established in 2011 to improve care coo...

Descripción completa

Detalles Bibliográficos
Autores principales: Kirkham, Renae, Whitbread, Cherie, Connors, Christine, Moore, Elizabeth, Boyle, Jacqueline A., Richa, Richa, Barzi, Federica, Li, Shu, Dowden, Michelle, Oats, Jeremy, Inglis, Chrissie, Cotter, Margaret, McIntyre, Harold D., Kirkwood, Marie, Van Dokkum, Paula, Svenson, Stacey, Zimmet, Paul, Shaw, Jonathan E., O’Dea, Kerin, Brown, Alex, Maple-Brown, Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544201/
https://www.ncbi.nlm.nih.gov/pubmed/28777799
http://dx.doi.org/10.1371/journal.pone.0179487
_version_ 1783255236282941440
author Kirkham, Renae
Whitbread, Cherie
Connors, Christine
Moore, Elizabeth
Boyle, Jacqueline A.
Richa, Richa
Barzi, Federica
Li, Shu
Dowden, Michelle
Oats, Jeremy
Inglis, Chrissie
Cotter, Margaret
McIntyre, Harold D.
Kirkwood, Marie
Van Dokkum, Paula
Svenson, Stacey
Zimmet, Paul
Shaw, Jonathan E.
O’Dea, Kerin
Brown, Alex
Maple-Brown, Louise
author_facet Kirkham, Renae
Whitbread, Cherie
Connors, Christine
Moore, Elizabeth
Boyle, Jacqueline A.
Richa, Richa
Barzi, Federica
Li, Shu
Dowden, Michelle
Oats, Jeremy
Inglis, Chrissie
Cotter, Margaret
McIntyre, Harold D.
Kirkwood, Marie
Van Dokkum, Paula
Svenson, Stacey
Zimmet, Paul
Shaw, Jonathan E.
O’Dea, Kerin
Brown, Alex
Maple-Brown, Louise
author_sort Kirkham, Renae
collection PubMed
description BACKGROUND: Rates of diabetes in pregnancy are disproportionately higher among Aboriginal than non-Aboriginal women in Australia. Additional challenges are posed by the context of Aboriginal health including remoteness and disadvantage. A clinical register was established in 2011 to improve care coordination, and as an epidemiological and quality assurance tool. This paper presents results from a process evaluation identifying what worked well, persisting challenges and opportunities for improvement. METHODS: Clinical register data were compared to the Northern Territory Midwives Data Collection. A cross-sectional survey of 113 health professionals across the region was also conducted in 2016 to assess use and value of the register; and five focus groups (49 healthcare professionals) documented improvements to models of care. RESULTS: From January 2012 to December 2015, 1,410 women were referred to the register, 48% of whom were Aboriginal. In 2014, women on the register represented 75% of those on the Midwives Data Collection for Aboriginal women with gestational diabetes and 100% for Aboriginal women with pre-existing diabetes. Since commencement of the register, an 80% increase in reported prevalence of gestational diabetes among Aboriginal women in the Midwives Data Collection occurred (2011–2013), prior to adoption of new diagnostic criteria (2014). As most women met both diagnostic criteria (81% in 2012 and 74% in 2015) it is unlikely that the changes in criteria contributed to this increase. Over half (57%) of survey respondents reported improvement in knowledge of the epidemiology of diabetes in pregnancy since establishment of the register. However, only 32% of survey respondents thought that the register improved care-coordination. The need for improved integration and awareness to increase use was also highlighted. CONCLUSION: Although the register has not been reported to improve care coordination, it has contributed to increased reported prevalence of gestational diabetes among high risk Aboriginal women, in a routinely collected jurisdiction-wide pregnancy dataset. It has therefore contributed to an improved understanding of epidemiology and disease burden and may in future contribute to improved management and outcomes. Regions with similar challenges in context and high risk populations for diabetes in pregnancy may benefit from this experience of implementing a register.
format Online
Article
Text
id pubmed-5544201
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-55442012017-08-12 Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation Kirkham, Renae Whitbread, Cherie Connors, Christine Moore, Elizabeth Boyle, Jacqueline A. Richa, Richa Barzi, Federica Li, Shu Dowden, Michelle Oats, Jeremy Inglis, Chrissie Cotter, Margaret McIntyre, Harold D. Kirkwood, Marie Van Dokkum, Paula Svenson, Stacey Zimmet, Paul Shaw, Jonathan E. O’Dea, Kerin Brown, Alex Maple-Brown, Louise PLoS One Research Article BACKGROUND: Rates of diabetes in pregnancy are disproportionately higher among Aboriginal than non-Aboriginal women in Australia. Additional challenges are posed by the context of Aboriginal health including remoteness and disadvantage. A clinical register was established in 2011 to improve care coordination, and as an epidemiological and quality assurance tool. This paper presents results from a process evaluation identifying what worked well, persisting challenges and opportunities for improvement. METHODS: Clinical register data were compared to the Northern Territory Midwives Data Collection. A cross-sectional survey of 113 health professionals across the region was also conducted in 2016 to assess use and value of the register; and five focus groups (49 healthcare professionals) documented improvements to models of care. RESULTS: From January 2012 to December 2015, 1,410 women were referred to the register, 48% of whom were Aboriginal. In 2014, women on the register represented 75% of those on the Midwives Data Collection for Aboriginal women with gestational diabetes and 100% for Aboriginal women with pre-existing diabetes. Since commencement of the register, an 80% increase in reported prevalence of gestational diabetes among Aboriginal women in the Midwives Data Collection occurred (2011–2013), prior to adoption of new diagnostic criteria (2014). As most women met both diagnostic criteria (81% in 2012 and 74% in 2015) it is unlikely that the changes in criteria contributed to this increase. Over half (57%) of survey respondents reported improvement in knowledge of the epidemiology of diabetes in pregnancy since establishment of the register. However, only 32% of survey respondents thought that the register improved care-coordination. The need for improved integration and awareness to increase use was also highlighted. CONCLUSION: Although the register has not been reported to improve care coordination, it has contributed to increased reported prevalence of gestational diabetes among high risk Aboriginal women, in a routinely collected jurisdiction-wide pregnancy dataset. It has therefore contributed to an improved understanding of epidemiology and disease burden and may in future contribute to improved management and outcomes. Regions with similar challenges in context and high risk populations for diabetes in pregnancy may benefit from this experience of implementing a register. Public Library of Science 2017-08-04 /pmc/articles/PMC5544201/ /pubmed/28777799 http://dx.doi.org/10.1371/journal.pone.0179487 Text en © 2017 Kirkham et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kirkham, Renae
Whitbread, Cherie
Connors, Christine
Moore, Elizabeth
Boyle, Jacqueline A.
Richa, Richa
Barzi, Federica
Li, Shu
Dowden, Michelle
Oats, Jeremy
Inglis, Chrissie
Cotter, Margaret
McIntyre, Harold D.
Kirkwood, Marie
Van Dokkum, Paula
Svenson, Stacey
Zimmet, Paul
Shaw, Jonathan E.
O’Dea, Kerin
Brown, Alex
Maple-Brown, Louise
Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation
title Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation
title_full Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation
title_fullStr Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation
title_full_unstemmed Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation
title_short Implementation of a diabetes in pregnancy clinical register in a complex setting: Findings from a process evaluation
title_sort implementation of a diabetes in pregnancy clinical register in a complex setting: findings from a process evaluation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544201/
https://www.ncbi.nlm.nih.gov/pubmed/28777799
http://dx.doi.org/10.1371/journal.pone.0179487
work_keys_str_mv AT kirkhamrenae implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT whitbreadcherie implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT connorschristine implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT mooreelizabeth implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT boylejacquelinea implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT richaricha implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT barzifederica implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT lishu implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT dowdenmichelle implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT oatsjeremy implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT inglischrissie implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT cottermargaret implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT mcintyreharoldd implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT kirkwoodmarie implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT vandokkumpaula implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT svensonstacey implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT zimmetpaul implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT shawjonathane implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT odeakerin implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT brownalex implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT maplebrownlouise implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation
AT implementationofadiabetesinpregnancyclinicalregisterinacomplexsettingfindingsfromaprocessevaluation