학술논문

Surgically avertable burden of obstetric conditions in low- and middle-income regions: a modelled analysis.
Document Type
Article
Source
BJOG: An International Journal of Obstetrics & Gynaecology. Jan2015, Vol. 122 Issue 2, p228-236. 10p.
Subject
*OBSTETRICS surgery
*PREGNANCY complications
*MATERNAL mortality
*LOW-income countries
*MIDDLE-income countries
*ABORTION
*NEONATAL mortality
Language
ISSN
1470-0328
Abstract
Objective To quantify the burden of maternal and neonatal conditions in low- and middle-income countries ( LMICs) that could be averted by full access to quality first-level obstetric surgical procedures. Design Burden of disease and epidemiological modelling. Setting LMICs from all global regions. Population The entire population in 2010. Methods We included five conditions in our analysis: maternal haemorrhage; obstructed labour; obstetric fistula; abortion1; and neonatal encephalopathy. Demographic and epidemiological data were obtained from the Global Burden of Disease 2010 study. We split the disability-adjusted life years ( DALYs) of these conditions into surgically 'avertable' and 'non-avertable' burdens. We applied the lowest age-specific fatality rates from all global regions to each LMIC region to estimate the avertable deaths, assuming that the differences of death rates between each region and the lowest rates reflect the gap in surgical care. Main outcome measures Deaths and DALYs avertable. Results Of the estimated 56.6 million DALYs (i.e. 56.6 million years of healthy life lost) of the selected five conditions, 21.1 million DALYs (37%) are avertable by full coverage of quality obstetric surgery in LMICs. The avertable burden in absolute term is substantial given the size of burden of these conditions in LMICs. Neonatal encephalopathy constitutes the largest portion of avertable burden (16.2 million DALYs) among the five conditions, followed by abortion (2.1 million DALYs). Conclusions Improving access to quality surgical care at first-level hospitals could reduce a tremendous burden of maternal and neonatal conditions in LMICs. [ABSTRACT FROM AUTHOR]