Improving Compliance With Revised Newborn Hepatitis B Vaccination Policy

Author(s):  
Allene Pulsifer ◽  
Karen M. Puopolo ◽  
Lauren Skerritt ◽  
Miren B. Dhudasia ◽  
Beth Ann Pyle ◽  
...  

BACKGROUND In September 2017, the American Academy of Pediatrics issued guidance recommending hepatitis B vaccine be administered to well newborns with birth weight ≥2000 g within 24 hours after birth. At that time, ∼85% of well newborns were vaccinated before discharge at our center; however, only 35% were vaccinated within 24 hours after birth. Our aim was to vaccinate 70% of eligible newborns within 24 hours after birth by June 2018 while maintaining the overall rate of vaccination. METHODS A multidisciplinary improvement team analyzed existing vaccine administration processes in the well-newborn nursery. From October 2017 to January 2018, changes were made to activation of vaccine orders and to obtaining and documenting the consent processes. Vaccine administration was bundled with routine care given ≤24 hours after birth, and parent scripting was changed from offering vaccine as an option to stating it as a recommendation. From November 2016 to June 2019, we determined the overall rate and timing of vaccination using statistical process control methods. RESULTS Among 10 887 eligible infants, the proportion administered hepatitis B vaccine ≤24 hours after birth increased from 35.5% to 78.8% after process changes with special-cause variation on process control charts. Proportion of infants receiving vaccine any time before discharge also increased from 86.5% to 92.3%. CONCLUSIONS Specific process changes allowed our birth center to comply with the recommended timing for hepatitis B vaccination of ≤24 hours after birth among eligible newborns.

Author(s):  
Mifta Priyanto

This paper presents the application of Total Quality Management Method using Pareto diagrams and Statistical Process Control charts (SPC). These tools can be applied to both the manufacturing and construction sectors. A Pareto diagram can figure out some of the dominant problems of the projects, and SPC can determine whether the data variation is within control limits. SPC can measure the quality of performance in learning curve using the upper-range limit and lower-range limit of the control analysis. A case study was conducted on a precast beams installation at a rental multi-story residential project in Jakarta, Indonesia. Based on the measurement, some data are outside of the control limit due to the problems identified in the Pareto diagram. Further analysis by measuring the Process Capability Ratio (Cp) produces a value <1, indicating that project management needs to be careful about process variation.


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