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Risk assessment and decision making about in-labour transfer from rural maternity care: a social judgment and signal detection analysis

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2012
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1 X user

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Title
Risk assessment and decision making about in-labour transfer from rural maternity care: a social judgment and signal detection analysis
Published in
BMC Medical Informatics and Decision Making, October 2012
DOI 10.1186/1472-6947-12-122
Pubmed ID
Authors

Helen Cheyne, Len Dalgleish, Janet Tucker, Fiona Kane, Ashalatha Shetty, Sarah McLeod, Catherine Niven

Abstract

The importance of respecting women's wishes to give birth close to their local community is supported by policy in many developed countries. However, persistent concerns about the quality and safety of maternity care in rural communities have been expressed. Safe childbirth in rural communities depends on good risk assessment and decision making as to whether and when the transfer of a woman in labour to an obstetric led unit is required. This is a difficult decision. Wide variation in transfer rates between rural maternity units have been reported suggesting different decision making criteria may be involved; furthermore, rural midwives and family doctors report feeling isolated in making these decisions and that staff in urban centres do not understand the difficulties they face. In order to develop more evidence based decision making strategies greater understanding of the way in which maternity care providers currently make decisions is required. This study aimed to examine how midwives working in urban and rural settings and obstetricians make intrapartum transfer decisions, and describe sources of variation in decision making.

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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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Unknown 117 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Student > Master 19 16%
Researcher 14 12%
Professor > Associate Professor 7 6%
Student > Bachelor 7 6%
Other 17 14%
Unknown 34 29%
Readers by discipline Count As %
Nursing and Health Professions 31 26%
Medicine and Dentistry 25 21%
Psychology 6 5%
Social Sciences 5 4%
Agricultural and Biological Sciences 2 2%
Other 13 11%
Unknown 37 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2012.
All research outputs
#18,320,524
of 22,685,926 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,562
of 1,979 outputs
Outputs of similar age
#140,536
of 184,189 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#37
of 37 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 184,189 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.