Background: Maternal mortality is the major indicator used to monitor maternal health. For every women, who dies, however, many suffer serious
life threatening complications of pregnancy. Yet relatively little attention has been given to identifying a general category of morbidities that could
be called near misses. Characterising near miss morbidity is valuable for monitoring the quality of hospital based case and for assessing incidence
of life-threatening complications.
Besides mortality data, the identication and accurate documentation of "near-miss" morbidity (a more sensitive index) is extremely important to
assess the quality of health care systems. It can suitably guide to adopt appropriate measures to reduce maternal mortality and morbidity.
Methods: A cross sectional observational study was conducted in department of obstetrics and gynecology, MGM medical college Indore (M.P.)
over apeiod of 2 years. Out of all obstetric inpatients cases of near miss were taken, identied by WHO 2009 criteria. In all cases the demographic
characteristics, frequency of near miss in each criteria, direct and indirect obstetric causes of maternal morbidity & mortality were noted .This study
was approved by institutional ethical committee. The data was recorded in predesign coded case report form and statistical analysis was performed
using the STATA12.1.
Result: in the present study incidence of Near miss was 65.6, Maternal mortality ratio=558(2017) 590(2018) per 1 lakh live birth and Near miss to
maternal death ratio was 11.4
Severe maternal outcome ratio=71.3 per 1000 live birth
Conclusion: Maternal near miss reviews provide evidence of where the main problem in overcoming maternal mortality and morbidity may lie,
and analysis can be done in practical terms and highlight the key areas requiring recommendations for health sector and community action as well
as guidelines for improving clinical outcomes.
Effect of a novel vital sign device on maternal mortality and morbidity in low-resource settings: a pragmatic, stepped-wedge, cluster-randomised controlled trial
