↓ Skip to main content

Management of pregnant and postnatal women with pre-existing diabetes or cardiac disease using multi-disciplinary team models of care: a systematic review

Overview of attention for article published in BMC Pregnancy and Childbirth, December 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
144 Mendeley
Title
Management of pregnant and postnatal women with pre-existing diabetes or cardiac disease using multi-disciplinary team models of care: a systematic review
Published in
BMC Pregnancy and Childbirth, December 2014
DOI 10.1186/s12884-014-0428-5
Pubmed ID
Authors

Debra Bick, Sarah Beake, Lucy Chappell, Khaled M Ismail, David R McCance, James SA Green, Cath Taylor

Abstract

BackgroundMore women with an increased risk of poor pregnancy outcome due to pre-existing medical conditions are becoming pregnant. Although clinical care provided through multi-disciplinary team (MDT) working is recommended, little is known about the structure or working practices of different MDT models, their impact on maternal and infant outcomes or healthcare resources. The objectives of this review were to consider relevant international evidence to determine the most appropriate MDT models of care to manage complex medical conditions during and after pregnancy, with a specific focus on pre-existing diabetes or cardiac disease in high income country settings.MethodsQuantitative and qualitative evidence of MDT models of care for the management of pregnant/postnatal women with pre-existing diabetes and cardiac disease was considered. A search of the literature published between January 2002 - January 2014 was undertaken. Methodological quality was assessed using checklists developed by the Joanna Briggs Institute. Given limited primary and secondary research evidence, guidelines and opinion papers were included. Two independent reviewers conducted critical appraisal of included papers.ResultsNineteen papers were included from UK, Canada, USA, the Netherlands and Singapore. No studies were found which had compared MDT models for pregnant/postnatal women with pre-existing diabetes or cardiac disease. Two small retrospective studies reported better outcomes for women with cardiac disease if an MDT approach was used, although evidence to support this was limited. Due to study heterogeneity it was not possible to meta-analyse data. No evidence was identified of MDT management in the postnatal period or impacts of MDT working on healthcare resources.ConclusionsDespite widespread promotion of MDT models of care for pregnant and postnatal women with pre-existing diabetes or cardiac disease, there is a dearth of primary evidence to inform structure or working practices or beneficial impact on maternal and infant outcomes or healthcare resources. Primary research into if or how MDT models of care improve outcomes for women with complex pregnancies is urgently needed.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 143 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 17%
Researcher 19 13%
Student > Bachelor 14 10%
Student > Ph. D. Student 13 9%
Student > Doctoral Student 8 6%
Other 32 22%
Unknown 34 24%
Readers by discipline Count As %
Medicine and Dentistry 46 32%
Nursing and Health Professions 22 15%
Computer Science 6 4%
Social Sciences 4 3%
Psychology 4 3%
Other 17 12%
Unknown 45 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 February 2019.
All research outputs
#6,946,410
of 22,778,347 outputs
Outputs from BMC Pregnancy and Childbirth
#1,919
of 4,183 outputs
Outputs of similar age
#95,476
of 353,195 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#28
of 59 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,183 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,195 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.