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Evaluation of a quality improvement intervention for obstetric and neonatal care in selected public health facilities across six states of India

Overview of attention for article published in BMC Pregnancy and Childbirth, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
10 tweeters

Citations

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13 Dimensions

Readers on

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85 Mendeley
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Title
Evaluation of a quality improvement intervention for obstetric and neonatal care in selected public health facilities across six states of India
Published in
BMC Pregnancy and Childbirth, May 2017
DOI 10.1186/s12884-017-1318-4
Pubmed ID
Authors

Enisha Sarin, Subir K. Kole, Rachana Patel, Ankur Sooden, Sanchit Kharwal, Rashmi Singh, Mirwais Rahimzai, Nigel Livesley

Abstract

While increase in the number of women delivering in health facilities has been rapid, the quality of obstetric and neonatal care continues to be poor in India, contributing to high maternal and neonatal mortality. The USAID ASSIST Project supported health workers in 125 public health facilities (delivering approximately 180,000 babies per year) across six states to use quality improvement (QI) approaches to provide better care to women and babies before, during and immediately after delivery. As part of this intervention, each month, health workers recorded data related to nine elements of routine care alongside data on perinatal mortality. We aggregated facility level data and conducted segmented regression to analyse the effect of the intervention over time. Care improved to 90-99% significantly (p < 0.001) for eight of the nine process elements. A significant (p < 0.001) positive change of 30-70% points was observed during post intervention for all the indicators and 3-17% points month-to-month progress shown from the segmented results. Perinatal mortality declined from 26.7 to 22.9 deaths/1000 live births (p < 0.01) over time, however, it is not clear that the intervention had any significant effect on it. These results demonstrate the effectiveness of QI approaches in improving provision of routine care, yet these approaches are underused in the Indian health system. We discuss the implications of this for policy makers.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 26%
Student > Ph. D. Student 11 13%
Student > Master 9 11%
Student > Doctoral Student 8 9%
Student > Postgraduate 5 6%
Other 16 19%
Unknown 14 16%
Readers by discipline Count As %
Medicine and Dentistry 25 29%
Nursing and Health Professions 16 19%
Social Sciences 16 19%
Economics, Econometrics and Finance 2 2%
Mathematics 1 1%
Other 7 8%
Unknown 18 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 May 2017.
All research outputs
#3,070,587
of 19,503,523 outputs
Outputs from BMC Pregnancy and Childbirth
#804
of 3,528 outputs
Outputs of similar age
#58,026
of 278,756 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#1
of 1 outputs
Altmetric has tracked 19,503,523 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,528 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 77% 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 278,756 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 79% 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