About
The New Zealand Child and Youth Epidemiology Service Te Ratonga Mātai Tahumaero Taitamariki o Aotearoa provides client organisations with long term population health information and analyses. This dashboard provides selected indicators from a variety of nationally-collated data sources of relevance to the health and wellbeing of children and young people in Aotearoa New Zealand. Identifying differences over time or between regions can guide consideration of our performance in supporting our children and young people to grow and flourish.
Indicators will be added or updated as new analyses are completed on a regular basis. Further types of analyses are planned as part of a phased implementation program.
Data or background information and context for these indicators are available on request.
What's Available
This data dashboard currently has two types of analyses: indicator overviews and trend charts. Not all indicators or districts have data available in all analysis types.
Overview
The Overview display is a snapshot of each available indicator, showing the general variation of reports between districts. There is no specific rate or number shown, instead the display is to show the range of values between districts. While “league tables” between districts can be unhelpful, a general overview of where an organisation stands compared to the Aotearoa average can provoke consideration about the characteristics that might have led to that situation. We can also consider whether indicator results are heavily skewed or relatively consistent across districts.
Trends
Trend charts over years or decades can help identify systemic successes and areas in need of improvement. It is important to remember that higher rates of health conditions are not always “bad”, as they can be examples of increased access to care. Similarly, the same regional factors that can lead to high “negative” outcomes in one indicator can lead to high “positive” outcomes in another.
Those making comparisons should be take into account relevant regional and clinical factors that may have caused rates to be higher or lower than the national average.