Ordered Bar Charts and Pareto
Ordered Bar Charts and Pareto Diagrams help teams focus, providing knowledge on where to change, what issues are common and for who in the system change is needed.
Run Charts
The ability to distinguish real change from random variation in our data is critical to any improvement journey. Run Charts can help bring objectivity to these assessments.
Are you using data the right way?
How leaders interpret data affects the quality of decision making.
Branching Out - Use measurement trees to determine whether your improvement efforts are paying off
When embarking on any improvement project, there are three critical questions team must ask to guide improvement efforts…
Increasing early childhood education enrollment and attendance rates
This paper reports on a project to increase enrollment and attendance rates at seven early childhood education (ECE) centres in socio-economically deprived areas of Auckland, New Zealand, between January and June 2014. Participating centres used Breakthrough Series collaborative methodology with the Model for Improvement (Langley et al., 2009) to develop and test change ideas according to local context.
Target CLAB Zero: A national improvement collaborative to reduce central line-associated bacteraemia in New Zealand intensive care units
Central line-associated bacteraemia (CLAB) is a preventable cause of patient morbidity and mortality in intensive care units. Target CLAB Zero was a national campaign that ran from October 2011 to March 2013 across all New Zealand ICUs (intensive care units). The campaign aimed to reduce the national CLAB rate to less than one incident per 1,000 line days and to establish a national measurement system for CLAB.
Improving public health information: a data quality intervention in KwaZulu-Natal, South Africa
Objective: To evaluate the effect of an intervention to improve the quality of data used to monitor the prevention of mother-to-child transmission (PMTCT) of the human immunodeficiency virus in South Africa.
Challenges for Routine Health System Data Management in a Large Public Programme to Prevent Mother-to-Child HIV Transmission in South Africa
Changes to South Africa’s prevention of mother-to-child transmission of HIV (PMTCT) guidelines have raised hope that the national goal of reducing perinatal HIV transmission rates to less than 5% can be attained. While programmatic efforts to reach this target are underway, obtaining complete and accurate data from clinical sites to track progress presents a major challenge. We assessed the completeness and accuracy of routine PMTCT data submitted to the district health information system (DHIS) in three districts of Kwazulu-Natal province, South Africa.