↓ Skip to main content

Measuring Quality of Maternal and Newborn Care in Developing Countries Using Demographic and Health Surveys

Overview of attention for article published in PLOS ONE, June 2016
Altmetric Badge

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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

policy
1 policy source
twitter
6 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
161 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Measuring Quality of Maternal and Newborn Care in Developing Countries Using Demographic and Health Surveys
Published in
PLOS ONE, June 2016
DOI 10.1371/journal.pone.0157110
Pubmed ID
Authors

Zoe Dettrick, Hebe N. Gouda, Andrew Hodge, Eliana Jimenez-Soto

Abstract

One of the greatest obstacles facing efforts to address quality of care in low and middle income countries is the absence of relevant and reliable data. This article proposes a methodology for creating a single "Quality Index" (QI) representing quality of maternal and neonatal health care based upon data collected as part of the Demographic and Health Survey (DHS) program. Using the 2012 Indonesian Demographic and Health Survey dataset, indicators of quality of care were identified based on the recommended guidelines outlined in the WHO Integrated Management of Pregnancy and Childbirth. Two sets of indicators were created; one set only including indicators available in the standard DHS questionnaire and the other including all indicators identified in the Indonesian dataset. For each indicator set composite indices were created using Principal Components Analysis and a modified form of Equal Weighting. These indices were tested for internal coherence and robustness, as well as their comparability with each other. Finally a single QI was chosen to explore the variation in index scores across a number of known equity markers in Indonesia including wealth, urban rural status and geographical region. The process of creating quality indexes from standard DHS data was proven to be feasible, and initial results from Indonesia indicate particular disparities in the quality of care received by the poor as well as those living in outlying regions. The QI represents an important step forward in efforts to understand, measure and improve quality of MNCH care in developing countries.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 16%
Student > Ph. D. Student 25 16%
Student > Master 21 13%
Student > Doctoral Student 10 6%
Student > Bachelor 10 6%
Other 28 17%
Unknown 41 25%
Readers by discipline Count As %
Medicine and Dentistry 35 22%
Nursing and Health Professions 33 20%
Social Sciences 16 10%
Economics, Econometrics and Finance 6 4%
Arts and Humanities 5 3%
Other 17 11%
Unknown 49 30%
Attention Score in Context

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 16 November 2023.
All research outputs
#4,161,747
of 25,345,468 outputs
Outputs from PLOS ONE
#51,307
of 219,864 outputs
Outputs of similar age
#68,059
of 360,771 outputs
Outputs of similar age from PLOS ONE
#1,035
of 4,563 outputs
Altmetric has tracked 25,345,468 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 219,864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 360,771 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 81% of its contemporaries.
We're also able to compare this research output to 4,563 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.