Utilization of sexual and
reproductive health (SRH) services can significantly impact health outcomes,
such as pregnancy and birth, prenatal and neonatal mortality, maternal
morbidity and mortality, and vertical transmission of infectious diseases like
HIV/AIDS.
It has long been recognized that access to SRH services is essential
to positive health outcomes, especially in rural areas of developing countries,
where long distances as well as poor transportation conditions, can be
potential barriers to health care acquisition. Improving accessibility of
health services for target populations is therefore critical for specialized
healthcare programs. Thus, understanding and evaluation of current access to
health care is crucial.
Combining spatial information using geographical
information system (GIS) with population survey data, this study details a
gravity model-based method to measure and evaluate access to SRH services in
rural Mozambique, and analyzes potential geographic access to such services,
using family planning as an example. Access is found to be a significant factor
in reported behavior, superior to traditional distance-based indicators.
Spatial disparities in geographic access among different population groups also
appear to exist, likely affecting overall program success.
Below: Study area and data
Full article
at: http://goo.gl/bQ4oR9
By: Jing Yao,a,* Alan T. Murray,b and Victor Agadjanianc
a Centre for GeoInformatics, School of
Geography and Geosciences, University of St Andrews, St Andrews, Fife, KY16
9AL, Scotland, UK
b GeoDa Center for Geospatial Analysis
and Computation, School of Geographical Sciences and Urban Planning, Arizona
State University, Tempe, AZ 85287, USA
c Center for Population Dynamics, T.
Denny Sanford School of Social and Family Dynamics, Arizona State University,
Tempe, AZ 85287, USA
* Corresponding author. School of Geography
& Geosciences, Irvine Building, University of St Andrews, North Street, St
Andrews, KY16 9AL, Fife, Scotland, UK. Tel.: +44 01334 464026; fax: +44 01334
463949. Email: ku.ca.swerdna-ts@oay.gnij, Email: moc.liamg@usaoayj (J.
Yao).
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