Measuring quality of maternal and newborn care in developing countries using demographic and health surveys

Dettrick, Zoe, Gouda, Hebe N., Hodge, Andrew and Jimenez-Soto, Eliana (2016) Measuring quality of maternal and newborn care in developing countries using demographic and health surveys. PLoS One, 11 6: e0157110.1-e0157110.20. doi:10.1371/journal.pone.0157110


Author Dettrick, Zoe
Gouda, Hebe N.
Hodge, Andrew
Jimenez-Soto, Eliana
Title Measuring quality of maternal and newborn care in developing countries using demographic and health surveys
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2016-06-30
Sub-type Article (original research)
DOI 10.1371/journal.pone.0157110
Open Access Status DOI
Volume 11
Issue 6
Start page e0157110.1
End page e0157110.20
Total pages 20
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Collection year 2017
Language eng
Formatted abstract
Background: 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.

Methods: 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.

Results: 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.

Conclusions: The QI represents an important step forward in efforts to understand, measure and improve quality of MNCH care in developing countries.
Keyword Developing country
Genetic marker
Health survey
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
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Created: Fri, 22 Jul 2016, 14:23:18 EST by Hebe Gouda on behalf of School of Public Health