↓ Skip to main content

PLOS

Measuring Coverage in MNCH: Validating Women’s Self-Report of Emergency Cesarean Sections in Ghana and the Dominican Republic

Overview of attention for article published in PLOS ONE, May 2013
Altmetric Badge

Mentioned by

policy
1 policy source
twitter
1 X user

Readers on

mendeley
123 Mendeley
Title
Measuring Coverage in MNCH: Validating Women’s Self-Report of Emergency Cesarean Sections in Ghana and the Dominican Republic
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0060761
Pubmed ID
Authors

Özge Tunçalp, Cynthia Stanton, Arachu Castro, Richard Adanu, Marilyn Heymann, Kwame Adu-Bonsaffoh, Samantha R. Lattof, Ann Blanc, Ana Langer

Abstract

Cesarean section is the only surgery for which we have nearly global population-based data. However, few surveys provide additional data related to cesarean sections. Given weaknesses in many health information systems, health planners in developing countries will likely rely on nationally representative surveys for the foreseeable future. The objective is to validate self-reported data on the emergency status of cesarean sections among women delivering in teaching hospitals in the capitals of two contrasting countries: Accra, Ghana and Santo Domingo, Dominican Republic (DR).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 21%
Researcher 19 15%
Student > Postgraduate 12 10%
Student > Ph. D. Student 12 10%
Student > Bachelor 12 10%
Other 22 18%
Unknown 20 16%
Readers by discipline Count As %
Medicine and Dentistry 37 30%
Nursing and Health Professions 24 20%
Social Sciences 16 13%
Psychology 6 5%
Mathematics 3 2%
Other 10 8%
Unknown 27 22%