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Women’s experiences of personalised support for asthma care during pregnancy: A systematic review of the literature

Overview of attention for article published in BMC Pregnancy and Childbirth, February 2017
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Title
Women’s experiences of personalised support for asthma care during pregnancy: A systematic review of the literature
Published in
BMC Pregnancy and Childbirth, February 2017
DOI 10.1186/s12884-017-1241-8
Pubmed ID
Authors

Graham R. Williamson, Anita O’Connor, Elmslie-Jones Kayleigh

Abstract

Asthma and pregnancy are both sources of anxiety for women. Although there has been a focus on physiological management of asthma and pregnancy, there has been little research on the impact that personalised support can have on asthma care during pregnancy. This systematic review and narrative synthesis of the literature set out to answer the question 'What are women's experiences of asthma care, its management and education, during pregnancy?' This systematic review was carried out using accepted methodology from the York Centre for Reviews and Dissemination. Electronic database searches were conducted using PsycInfo, CINAHL, MedLine, Google Scholar and the Cochrane Library, using the combination search terms: 'Asthma' AND 'Pregnancy' AND 'Care' AND ('Education OR Information OR Experience'). Hand searching of journals and searches for grey literature were also undertaken. Independent quality appraisal by the three authors took place using the criteria detailed by Kmet et al. (Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields, 2004). All papers scoring in excess of 60% were deemed to be of adequate quality for inclusion, of which there were five: two qualitative designs and three quantitative designs. The designs were too methodologically heterogeneous to permit statistical meta-analysis so narrative review and synthesis was undertaken. Despite an embryonic evidence bases, it is reasonable to conclude that personalised care has beneficial outcomes for pregnant asthmatic women. Larger randomised controlled trials investigating personalised care are required to build an evidence base which can establish the efficacy of such interventions.

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The data shown below were collected from the profiles of 3 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 21%
Student > Ph. D. Student 13 15%
Researcher 9 10%
Student > Master 9 10%
Lecturer 3 3%
Other 15 17%
Unknown 20 23%
Readers by discipline Count As %
Medicine and Dentistry 24 28%
Nursing and Health Professions 22 25%
Social Sciences 5 6%
Psychology 5 6%
Agricultural and Biological Sciences 2 2%
Other 10 11%
Unknown 19 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 March 2018.
All research outputs
#13,169,625
of 23,316,003 outputs
Outputs from BMC Pregnancy and Childbirth
#2,378
of 4,287 outputs
Outputs of similar age
#152,330
of 311,002 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#55
of 78 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,287 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 44th percentile – i.e., 44% 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 311,002 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 50% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.