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Determination of medical abortion success by women and community health volunteers in Nepal using a symptom checklist

Overview of attention for article published in BMC Pregnancy and Childbirth, May 2018
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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 (82nd percentile)

Mentioned by

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14 tweeters

Citations

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1 Dimensions

Readers on

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14 Mendeley
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Title
Determination of medical abortion success by women and community health volunteers in Nepal using a symptom checklist
Published in
BMC Pregnancy and Childbirth, May 2018
DOI 10.1186/s12884-018-1804-3
Pubmed ID
Authors

Kathryn L. Andersen, Mary Fjerstad, Indira Basnett, Shailes Neupane, Valerie Acre, Sharad Sharma, Emily Jackson

Abstract

We sought to determine if female community health volunteers (FCHVs) and literate women in Nepal can accurately determine success of medical abortion (MA) using a symptom checklist, compared to experienced abortion providers. Women undergoing MA, and FCHVs, independently assessed the success of each woman's abortion using an 8-question symptom checklist. Any answers in a red-shaded box indicated that the abortion may not have been successful. Women's/FCHVs' assessments were compared to experienced abortion providers using standard of care. Women's (n = 1153) self-assessment of MA success agreed with abortion providers' determinations 85% of the time (positive predictive value = 90, 95% CI 88, 92); agreement between FCHVs and providers was 82% (positive predictive value = 90, 95% CI 88, 92). Of the 92 women (8%) requiring uterine evacuation with manual vacuum aspiration (n = 84, 7%) or medications (n = 8, 0.7%), 64% self-identified as needing additional care; FCHVs identified 61%. However, both women and FCHVs had difficulty recognizing that an answer in a red-shaded box indicated that the abortion may not have been successful. Of the 453 women with a red-shaded box marked, only 35% of women and 41% of FCHVs identified the need for additional care. Use of a checklist to determine MA success is a promising strategy, however further refinement of such a tool, particularly for low-literacy settings, is needed before widespread use.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Ph. D. Student 2 14%
Student > Doctoral Student 1 7%
Professor 1 7%
Student > Bachelor 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Nursing and Health Professions 5 36%
Medicine and Dentistry 2 14%
Sports and Recreations 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Business, Management and Accounting 1 7%
Other 1 7%
Unknown 2 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 May 2018.
All research outputs
#1,534,025
of 14,197,586 outputs
Outputs from BMC Pregnancy and Childbirth
#432
of 2,611 outputs
Outputs of similar age
#48,538
of 275,335 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#1
of 1 outputs
Altmetric has tracked 14,197,586 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,611 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 83% 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 275,335 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 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them