No quick fix
The emerging themes highlight the complexity of the issues and challenges faced by systems. This demands system-wide and structural targeted and bespoke support offers, avoiding disruption and upheaval within already pressured systems and embedding medium to longer term planning processes.
Lack of shared dataset and evidence base
Most health and social care systems will use data to inform their operations. Typically, systems are struggling to create effective means of using data to support these aims, with blame often being attributed to technical issues, either in terms of the technology involved or legal concerns about data sharing.
A shared perspective starts with shared objectives and values before data. If you do not know what you are trying to inform people about, how will you effectively identify what scare resources need to be used to support? If everyone agrees that discharge to assess is a priority, for example, that makes it easier to identify the metrics that require improved data quality. If partners have not mutually agreed on a set of priorities, the risk of disengagement grows, and that partnership may suffer.
High quality data also supports our work within the BCF Support Programme, feeding into our support offers around discharge to assess, and capacity and demand planning, with the results of these scoping diagnostics identifying a number of systems where we will be supporting better use of data through these offers.
Learning from research
In a recent piece, Interoperability is more than technology, the King’s Fund found three main things were identified that sat behind success in bringing people together around data in the health and care sector:
- Relationships based on trust between staff and leaders
- Technology that makes communication and medical information flow as easy as possible
- An enabling environment that provides sufficient long-term funding and targets that support collaborative working while developing complementary workflows across organisations.
The point about relationships is deliberately placed first, as it makes all other aspects of bringing data together easier. In any offer we produce for the sector, this principle needs to sit at the heart- if the relationships between organisations are not healthy and if shared objectives are not in place, integrated working can’t happen.
There’s a lot of overlap in what we’ve seen in the scoping work and this piece- there’s relatively little on the technical side of data use coming from the Lead Scopers, and much more about inter-organisational interest and relationships.
The key objectives that every system shares above because upon closer inspection, many of the scoping diagnostics that talk about improving data use and having well-established objectives only talk about these basic values. This means they are less likely to have had more mature conversations that involve compromise and are less prepared to have difficult conversations when data shows that one party or another bears responsibility for issues around discharge.
In the systems with a more developed inter-organisational perspective, conversations seem to have focused less on discharge process and more on outcomes and intermediate care, with financial performance being supported through those topics.
It's also important not to have too many metrics being fed through as key indicators, East London FoundationTrust Model (ELFT) recommend no more than five to eight to make sure focus is not diluted. These are the questions they recommend asking when choosing what data to use:
- What are the key measures for the service that you work in?
- Are these measures available, transparently displayed, and viewed over time?
- What qualitative data do you use in helping guide your improvement efforts?
This perspective is based on the principle that each department within a trust will look at their own data. It does not necessarily map well onto what a whole system needs to look at for their overarching strategic needs. Our questions will look different, perhaps something more like this:
What are the key measures you need to support your shared objectives?
- Are these measures available across a system, developed and shared transparently and where possible, comparable across time and organisation?
- What qualitative data do you use to support improvements in your services and to challenge your assumptions about performance?
- If shared objectives are in place and relationships between partners are healthy, then the focus can shift towards the more technical end of data use.
There are several long-standing issues within the sector regarding the interoperability of systems (their ability to connect together), including capital issues, such as needing to buy new systems or procedural ones around data sharing.