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Responding to maternal distress: from needs assessment to effective intervention

Overview of attention for article published in International Journal of Public Health, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
facebook
1 Facebook page

Citations

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11 Dimensions

Readers on

mendeley
52 Mendeley
Title
Responding to maternal distress: from needs assessment to effective intervention
Published in
International Journal of Public Health, November 2016
DOI 10.1007/s00038-016-0910-0
Pubmed ID
Authors

Yvonne Fontein-Kuipers, Evelien van Limbeek, Marlein Ausems, Raymond de Vries, Marianne Nieuwenhuijze

Abstract

To perform a needs assessment of maternal distress to plan the development of an intervention for the prevention and reduction of antenatal maternal distress. We searched PubMed, OVID and EBSCO and applied the PRECEDE logic model to select the data. Experts in the field validated the findings. We identified 45 studies. Maternal distress was associated with diminished maternal and child's quality of life. Aetiological factors of maternal distress included past and present circumstances related to obstetric factors and to a woman's context of living, coping behaviour, and support mechanisms. Lacking knowledge of coping with (maternal) distress was identified as a predisposing factor. Reinforcing factors were relaxation, partner support, counselling experiences and positive interaction with the midwife. Enabling factors were the availability of a support network. When planning the development of an antenatal intervention for maternal distress, it is advisable to focus on assessment of antenatal emotional wellbeing, the context of the woman's past and present circumstances, her coping behaviour and her environment. The identified predisposing factors, enabling and reinforcing factors should also be taken into consideration.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Student > Bachelor 6 12%
Researcher 5 10%
Student > Master 5 10%
Student > Postgraduate 4 8%
Other 11 21%
Unknown 12 23%
Readers by discipline Count As %
Nursing and Health Professions 15 29%
Psychology 10 19%
Medicine and Dentistry 4 8%
Social Sciences 3 6%
Unspecified 2 4%
Other 5 10%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 April 2017.
All research outputs
#3,762,527
of 25,374,917 outputs
Outputs from International Journal of Public Health
#440
of 1,900 outputs
Outputs of similar age
#60,836
of 317,550 outputs
Outputs of similar age from International Journal of Public Health
#16
of 40 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 76% 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 317,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 40 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 60% of its contemporaries.