Interactive Health Indicators Tool (i-hit): Building on the Proof of Concept Knowledge & Intelligence Team (North West)

Interactive Health Indicators Tool (i-hit): Building on the Proof of Concept

Knowledge & Intelligence Team (North West)

Introduction• The i-hit is a tool that was developed in 2010/11 in response to a specific

request from a local authority by the North West Public Health Observatory and Liverpool John Moores University (LJMU)

• The tool has been used within the local authority to:1. Identify Health and Wellbeing Board/JSNA priorities

2. Identify the scale of change necessary to achieve sustainable improvement

3. Model how changes in one area might be ASSOCIATED with other areas of interest

• The tool is underpinned by conditional independence and Bayesian Network mathematics

• The tool is founded in a health inequalities context

• The tool is different from many epidemiology tools…

Association not Causation

2 Interactive Health Indicators Tool; SEPHIG 9 December, 2014

Making the case for associative modelling

• LJMU Maths and Computing Science Department – ground breaking developments to produce an advanced algorithm for mapping associations (see references)

• Philosophy of Science – ontology and epistemology distinctions – important to balance research to expand our knowledge of both “What” and “How”

The retail example: Champagne and Shampoo…

1.There are actions that can be taken simply by knowing “What” (e.g. discount deals, product placement)

2.Spurious links; proactive challenge and insight

3.Demistifying clustered behaviour; targeting and sequencing interventions

4.Directing further research on the “How”

D. Bacciu, T.A. Etchells, P.J.G Lisboa and J. Whittaker, 2013. Efficient identification of independence networks using mutual information. Computational Statistics, vol. 28(2), 621-646

P. Spirtes, C. Glymour, and R. Scheines, Causation, Prediction and Search, 2nd edition. MIT Press, New York, 2000


Applying this to indicators and measures


Making progress

Getting worse

The Tool


The Tool


The Tool


The Tool


Developing the Tool – Phase 1


Data refresh (June 2014);

Inclusion of new indicators

Update to previous indicator and measure definitions;

Inclusion of new advances in the mathematical theory and applications that underpin the model;

Increased interactivity and functionality in the tool so that the indicator maps can be presented in alternative ways

Expansion to enable more local areas to view their data in the tool

Developing the Tool – Phase 2


Change multiple or fix indicators - on the fly solution; not lookups

Include socio-economic and demographic measures – tailored solution

Linking to the NICE evidence and ROI tools where causation is determined

Develop a front-end to process new data and variables

Work with users to develop understanding around the limits of interpretation - indicator ejection and outliers

Evaluate

Documents

Interactive Health Indicators Tool (i-hit): Building on the Proof of Concept Knowledge & Intelligence Team (North West)