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Using statistical process control methods to trace small changes in perinatal mortality after a training program in a low-resource setting
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Using statistical process control methods to trace small changes in perinatal mortality after a training program in a low-resource setting
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Journal Article
Using statistical process control methods to trace small changes in perinatal mortality after a training program in a low-resource setting
2018
Overview
Abstract
Objective
To trace and document smaller changes in perinatal survival over time.
Design
Prospective observational study, with retrospective analysis.
Setting
Labor ward and operating theater at Haydom Lutheran Hospital in rural north-central Tanzania.
Participants
All women giving birth and birth attendants.
Intervention
Helping Babies Breathe (HBB) simulation training on newborn care and resuscitation and some other efforts to improve perinatal outcome.
Main outcome measure
Perinatal survival, including fresh stillbirths and early (24-h) newborn survival.
Result
The variable life-adjusted plot and cumulative sum chart revealed a steady improvement in survival over time, after the baseline period. There were some variations throughout the study period, and some of these could be linked to different interventions and events.
Conclusion
To our knowledge, this is the first time statistical process control methods have been used to document changes in perinatal mortality over time in a rural Sub-Saharan hospital, showing a steady increase in survival. These methods can be utilized to continuously monitor and describe changes in patient outcomes.
Publisher
Oxford University Press
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