Hello everyone, my name is Duncan.
I joined the Partnership as my final placement on the NHS Graduate Management Training Scheme. I’ve since remained within the Partnership as an information analyst where among other things I support the Local Maternity System (LMS) in developing its access and understanding of quality data. I’m proud of the input I’ve had in the LMS as we’ve come far in how we use data, and the journey continues to develop our insight.
When I joined the LMS in 2018, the LMS accessed a small amount of data that responded to national and regional mandated requirements, with few processes established for considering the data ourselves. Our primary source of data was the Yorkshire and Humber Clinical Network’s maternity benchmarking dashboard, which includes data on smoking/breastfeeding/preterm birth rates etc. Sharing information appropriately ensures that data can help transformation.
Where we are
I’ve been able to work closely with midwives, varied LMS workgroups and analysts, with the aim of improving the quality of our data. Now, these maternity indicators and more are considered by a wide audience of our stakeholders as the first order of business in many LMS meetings. While trying to embed data into everything that we do, the LMS dashboard has evolved into a view of 24, and counting, quality and safety indicators in domains of maternal safety, neonatal safety, personalisation, and public health. Many of these have been added to reflect the local quality improvement work that is carried out throughout the LMS.
It’s really positive when LMS groups contact me directly to suggest we add a new indicator because they want to see the LMS results and how their Trust contributes to system performance. Much of this data is published from different sources but bringing the data together into one place means that LMS stakeholders can quickly identify overall quality and safety. The LMS dashboard informs our quarterly quality and safety update, and the results are routinely presented at LMS meetings to start every conversation with ‘where are we now?’.
We’ve been able to apply our data to several quality improvement initiatives, tracking the implementation of continuity of carer, neonatal interventions and more. Last year the LMS carried out an audit to investigate factors that impacted delays to induction of labour, which was reported to be highly detrimental to women’s experience of maternity care. By sharing and appraising data, making changes to practice, and celebrating the results, the LMS is now an active participant in ensuring the safety and quality of maternity services. I’m pleased to say that by taking an active role in our LMS understanding of its data I’ve been able to influence the regional and national maternity teams. We are also planning on presenting our data approach to the Ugandan national health service as the Partnership’s LMS reaches international influence!
Where we’re heading
As the LMS develops its quality assurance oversight role in line with the Ockenden report 2020 we are evaluating the additional data the LMS needs to consider, and how it should be presented. We plan to move the dashboard to a platform that will better disseminate our findings while we continue to add measures which add value at a system level.
The LMS is currently producing an equity strategy to identify health inequalities and co-produce actions to address them. An especially exciting area is our growing access to health inequalities data.
Assessing and tackling inequalities has always been an ambition of the LMS. However, we’ve had limited access to data that supports this; there is only one measure on the existing LMS dashboard which is specific to a patient cohort (women from Black and Asian minority ethnic backgrounds booked or placed onto CoC pathways). Recently the clinical commissioning groups in West Yorkshire have implemented a data sharing agreement that allows NHS Digital’s nationally mandated maternity dataset to be shared between all CCGs, providing the LMS with access to anonymised individual level data. Although the dataset is still in development, this means that we could, for the first time, compare differences in the care and outcomes received by specific cohorts of women.
Breaking down measures by ethnic background, deprivation of residence and the intersectionality between the two will be the most detailed view of inequalities data that the LMS has ever had. Early sharing of this work with the national maternity team has already influenced the development of the regional maternity dashboard to include health inequalities.
The improved access to higher quality data, together with an increasing appetite for deploying the data to improve patient care means it’s an exciting time to be working with maternity data in WY&H. We’ve come a long way in our approach to data and I look forward to seeing how much further the LMS will go.
Finally, many thanks to the wonderful work of midwives and analysts who lay the foundation for this work by generating the data, as well as the Yorkshire and Humber Clinical Network and Yorkshire and Humber Neonatal Operational Delivery Network who collate and disseminate it.
Have a good weekend,
Duncan