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The UK Midwifery Study System (UKMidSS): a programme of work to establish a research infrastructure to carry out national studies of uncommon conditions and events in midwifery units

Overview of attention for article published in BMC Pregnancy and Childbirth, April 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
The UK Midwifery Study System (UKMidSS): a programme of work to establish a research infrastructure to carry out national studies of uncommon conditions and events in midwifery units
Published in
BMC Pregnancy and Childbirth, April 2016
DOI 10.1186/s12884-016-0868-1
Pubmed ID
Authors

Rachel E Rowe, Jennifer J Kurinczuk, Jennifer Hollowell, Marian Knight

Abstract

Midwifery-led care during labour and birth in the UK is increasingly important given national commitments to choice of place of birth, reduction of unnecessary intervention and improving women's experience of care, and evidence on safety and benefits for 'low risk' women. Further evidence is needed on safety and potential benefits of midwifery-led care for some groups of 'higher risk' women and about uncommon adverse outcomes or 'near-miss' events. Uncommon obstetric events and conditions have been investigated since 2005 using the UK Obstetric Surveillance System. This programme of research will establish the UK Midwifery Study System (UKMidSS) in all UK alongside midwifery units (AMUs) and carry out the first two UKMidSS studies investigating: (i) outcomes in severely obese women admitted to AMUs, and (ii) risk factors for neonatal unit admission following birth in an AMU. We will carry out national cohort and case-control studies using UKMidSS, a national data collection platform which we will establish to collect anonymised information from all UK AMUs. Reporting midwives in each AMU will actively report cases or nil returns in response to monthly notification emails. Denominator data on the number of women admitted to and giving birth in each AMU will also be collected. Anonymised data on risk factors, management and outcomes for cases and controls/comparators as appropriate for each study, will be collected electronically using information from medical records. We will calculate incidence and prevalence with 95 % confidence intervals (CIs), tabulate descriptive data using frequencies and proportions, and use logistic regression to estimate odds ratios with 95 % CIs comparing specific outcomes in case and comparison women and to investigate risk factors for conditions or outcomes. As the first national infrastructure facilitating research into uncommon events and conditions in women starting labour in midwifery-led settings, UKMidSS builds on the success of other national research systems. UKMidSS studies will extend the evidence base regarding the quality and safety of midwifery-led intrapartum care and investigate extending the benefits of midwifery-led care to more women. As a national collaboration of midwives contributing to high quality research, UKMidSS will provide an infrastructure to support midwifery research capacity development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Researcher 7 9%
Student > Bachelor 7 9%
Student > Ph. D. Student 6 8%
Student > Postgraduate 5 7%
Other 13 18%
Unknown 23 31%
Readers by discipline Count As %
Nursing and Health Professions 21 28%
Medicine and Dentistry 19 26%
Social Sciences 4 5%
Computer Science 2 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 5 7%
Unknown 22 30%
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 15 April 2016.
All research outputs
#7,166,316
of 22,862,742 outputs
Outputs from BMC Pregnancy and Childbirth
#2,001
of 4,201 outputs
Outputs of similar age
#101,991
of 300,620 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#32
of 68 outputs
Altmetric has tracked 22,862,742 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 4,201 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 51% 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 300,620 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 65% of its contemporaries.
We're also able to compare this research output to 68 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.