Local Intelligence Support Team

The integration of health and social care was seen by the Scottish government to require support to ensure that benefits of both national and local data and knowledge were able to be shared across two very different cultures and service providers to jointly develop more appropriate services for local populations.
LIST using their expertise in analytical work was seen as a way to develop a sound evidence base to allow decision makers to develop effective services.

Innovation Summary

Innovation Overview

The Local Intelligence Support Team (LIST) was established as an intermediary service to support the integration of health and care organisations into Health and Social Care Partnerships (HSCPs) across Scotland in 2015. These HSCPs were formed to provide more effective integrated services for their local populations. Prior to this health and social care organisations worked independently to provide services that were within their remit with no ability to influence the others decisions. LIST analytical staff were co-located in HSCPs to provide intelligence in a local context allowing local managers from health and social care to better understand their populations requirements and to co-design and deliver services to meet these needs.
LIST has been able to analyse and link, local and national data to provide a unique view of the local population providing intelligence which allows a holistic and more thorough understanding of the way users move into and across health and social care services, which was not available previously.
By working together with local partnerships, and by using innovative communications methods (VPNs, Qube and Skype) across the dispersed team. LIST has provided the opportunity for a change in culture, devolving decision making to local levels, whilst being able to access data and additional expertise held nationally in centralised locations.

To demonstrate this we have given some examples of work LIST analysts carried out in two HSCPs.

Delayed Discharge & Care Home Vacancy Dashboard
Analysts working locally with a HSCP recognised that census data on delayed discharges and care home vacancies was presented poorly and not well used by managers even though this partnership struggled with a number of challenges around delayed discharge. Analysts recognised that there was an opportunity to apply new analytical techniques and presentation methods to support the operational managers’ ability to interpret the data and monitor performance.

The innovative solution was to create an interactive dashboard tool which would provide the managers with the necessary data in a more visual way, statistical process control charts were used as a means of highlighting variation in the system. This gave the senior team, alongside service managers in both health and social care a better overview of the current situation of hospital delays and care home vacancies.

It is envisioned that the dashboard will be incorporated into the delayed discharges clinical system. This will provide even more real-time information and save on staff time spent cleansing and distributing the data. Ultimately the system could be adapted for other partnerships across the country.
Following on from this work a wider collaboration now undertaken with clinicians and academics has resulted in the development of a predictive tool for delayed discharges. This demonstrates innovative use of data to help health & social care professionals identify patients who are potential delayed discharges, and plan early intervention. This is currently being piloted with local health and social care partners and could become a feature in a future iteration of the dashboard.

Homeless Needs Assessment
Homeless people are a key vulnerable group who experience health inequalities with higher morbidity and mortality than the rest of the population.
LIST analysts have assisted one HSCP as part of their objective to reduce health inequalities by co-producing a health needs assessment for homeless people.
Linking client data from homelessness (HL1) applications with local and national health data allowed in depth service utilisation analysis of this cohort, compared to the wider partnership population to be performed.
The intelligence from this analysis was used to inform and develop a multi-agency health and homelessness plan, which aims to improve outcomes for this vulnerable population.

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