Abstract

Introduction: Early neonates are more prone towards infections and deaths. As a result we are interested in finding out the health behavior of inborn early neonates in a district hospital of Mysore. Materials and Methods: A total of 24,578 live births were monitored for their morbidity status from September 2011 to June 2013. The number of morbidity causes was detected for every 100 early neonates, monthly wise. The non-conformities behavior was observed through Poisson u-chart with variable control limits. 20% vital few contributors that contributes to variations in morbidity and mortality aspects of early neonates were detected through checklists and super imposed Pareto charts. Results: The number of causes per inspection unit for sample number 9 is out of control. Values corresponding to samples 1 and 2 are within the warning region. It appears that hypoxic ischemic encephalopathy (HIE)/moderate-severe birth asphyxia is the major contributing factor for both morbidity and mortality based on the occurrences. However, in the process of detecting the impact of morbidity factor on their corresponding mortality, it is found that the major nonconformity factor is major congenital malformation (MCM) and not HIE/Moderate-severe birth asphyxia as MCM has 0.217 chance of causing mortality, whereas HIE has 0.19 chance standing at the fourth position. Conclusion: We conclude that the hospital management needs to develop appropriate preventive and management strategies for the major causes viz., MCM, sepsis/pneumonia/meningitis and respiratory distress syndrome.

Highlights

  • The worlds’ poorest populations live in the shadow of a group of old enemies - Malnutrition, childhood infections, poor maternal and perinatal health and high fertility

  • The nonconformities behavior is observed through Poisson u-chart with variable control limits. 20% vital few contributors to variations in morbidity and mortality aspects of early neonates were detected through checklists and super imposed Pareto charts

  • The information on the number of nonconformities collected monthly wise per inspection unit follows Poisson random variable and is interpreted using the Poisson u-chart with variable control limits to detect if the number of defects is under 3 sigma control indicating the impact of just common cause variation rather than the special cause variation

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Summary

Introduction

The worlds’ poorest populations live in the shadow of a group of old enemies - Malnutrition, childhood infections, poor maternal and perinatal health and high fertility. Every year about 7.5 million children die primarily due to poor maternal and child health care. Neonatal intensive care use, discharge diagnoses and neonatal health surveys provide some estimates of morbidity.[2] In the new millennium, more efforts need to be done to develop sustainable approaches to improve child health to reduce both morbidity and mortality, if we are to ensure that children survive and grow in a healthy environment with access to basic essential health services. Neonates are more prone towards infections and deaths.[3] we planned to undertake a study in the government teaching hospital, Mysore, which is situated in a densely populated area with heavy motor traffic in the center of the city. We are interested in finding out the health behavior of inborn early neonates

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