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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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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… Click to show full 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.

Keywords: perinatal mortality; control methods; changes perinatal; statistical process; time; process control

Journal Title: International Journal for Quality in Health Care
Year Published: 2018

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