Skip to main content

Free Content Local use of geographic information systems to improve data utilisation and health services: mapping caesarean section coverage in rural Rwanda

Download Article:

You have access to the full text article on a website external to Ingenta Connect.

Please click here to view this article on Wiley Online Library.

You may be required to register and activate access on Wiley Online Library before you can obtain the full text. If you have any queries please visit Wiley Online Library

Abstract:

Abstract
Objectives

To show the utility of combining routinely collected data with geographic location using a Geographic Information System (GIS) in order to facilitate a data‐driven approach to identifying potential gaps in access to emergency obstetric care within a rural Rwandan health district.
Methods

Total expected births in 2009 at sub‐district levels were estimated using community health worker collected population data. Clinical data were extracted from birth registries at eight health centres (HCs) and the district hospital (DH). C‐section rates as a proportion of total expected births were mapped by cell. Peri‐partum foetal mortality rates per facility‐based births, as well as the rate of uterine rupture as an indication for C‐section, were compared between areas of low and high C‐section rates.
Results

The lowest C‐section rates were found in the more remote part of the hospital catchment area. The sector with significantly lower C‐section rates had significantly higher facility‐based peri‐partum foetal mortality and incidence of uterine rupture than the sector with the highest C‐section rates (P < 0.034).
Conclusions

This simple approach for geographic monitoring and evaluation leveraging existing health service and GIS data facilitated evidence‐based decision making and represents a feasible approach to further strengthen local data‐driven decisions for resource allocation and quality improvement.

Language: English

Document Type: Research Article

DOI: https://doi.org/10.1111/tmi.12016

Publication date: 2013-01-01

  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more