Background

The Health and Wellbeing Strategy is Hertfordshire’s high-level approach for improving health and wellbeing and reducing differences, or inequalities, in health within the County. The strategy is owned by the Hertfordshire’s Health and Wellbeing Board (HWB), a collaborative partnership bringing together senior leaders from the NHS, public health, adult social care and children’s services, including elected representatives from the County and District and Borough Councils, Voluntary, Community, Faith and Social Enterprises (VCFSE), and the Police and Crime Commissioner.

To monitor the progress of the strategy, a set of key performance Indicators (KPIs) have been carefully selected to reflect the ambitions and objectives of the Health and Wellbeing Strategy. This dashboard presents data regarding Hertfordshire’s performance against the KPIs to aid the monitoring of Hertfordshire’s progress.

User Guidance

Using the top menu bar, users can navigate to the relevant page. As the list of KPIs span across various topics and data sources, an update schedule is provided in the Update Schedule tab showing the frequency of updates for each KPI.

The Overview page shows Hertfordshire’s overall performance when compared to the baseline figures and in previous time period. The change column is colour-coded which can be interpreted using the key below.

The comparison with CIPFA neighbours and districts page shows Hertfordshire performance when compared to its CIPFA neighbours, including Buckinghamshire, Cambridgeshire, Essex, Hampshire, Kent, Northamptonshire, Oxfordshire, Warwickshire, and West Sussex. Breakdown of indicators to smaller geographies are also presented. Please note that a number of indicators are not available at districts level.

The follow key illustrates changes in performance indicators:

The differences’ significance are determined by confidence intervals (CIs). CIs are a measure of the statistical precision of a value and show the range of uncertainty (caused by sample size and random variation) around the value. Calculations based on smaller sample sizes tend to result in wider CIs. The wider the CI the greater the uncertainty in the value. In public health, the conventional practice is to use 95% CIs. This represents the probability that the interval includes the true value. CIs are important to consider when interpreting data and comparing areas to assess whether differences are ‘real’ or statistically significant. If the CIs around a figure do not overlap with the interval around another then we can be certain that there is a statistically significant difference between the data points. If the CI around a figure overlaps with the interval around another, we cannot say with certainty that there is more than a chance difference between the two figures.

Indicators Visualisation