As well as managing the inter-dependencies among the projects described below, we have stabilised a partnership involving collaboration among the five delivery partners, with close links to UK-wide audits and IT system suppliers
Within this workstream we provide regular updates to stakeholders about the programme and conduct stakeholder surveys. Your feedback allows us to improve the MatNeo Data Hub, to make it more beneficial to our users.
We have reviewed a comprehensive list of nationally-collected (all-Scotland) datasets for maternity & neonatal care to identify data items that are either duplicated (same thing collected in same way in multiple datasets) or divergent (same thing collected in multiple datasets in similar but different ways). Somewhat surprisingly, we discovered that there is less duplication and divergence at the data item level than we expected. At the end of 2019 we confirmed, through a limited consultation, that we hadn’t missed anything important.
The Maternity and Neonatal Data Access Liaison Group for Scotland (MaNDALS) was established to share updates from multiple parallel conversations involving organisations who require all-Scotland-consistent data for national purposes from clinical information systems (mainly BadgerNet), and to align these conversations. The group met for a fourth time in early June.
We are working with National Services Scotland Digital and Security (DaS) colleagues, with colleagues in NHS Boards, and with Clevermed – who provide the BadgerNet systems – to bring nationally-consistent maternity and neonatal data from clinical systems on to the Seer data holding and analysis platform that DaS have built.
We are negotiating with Clevermed, who provide the BadgerNet systems, to establish a formal service agreement to allow routine data provision.
Throughout 2019 we reviewed the national maternity data return (SMR02) and the national baby data return (SBR), with a view to developing enhanced future maternity and baby data returns that align to current service delivery, and provide more consistent data on maternity care, births and babies.
With the onset of the COVID-19 pandemic we refocussed our Enhanced Maternity Dataset for Scotland (EMaDS) work to capture close-to-real-time data on aspects of antenatal booking. We were already proposing to separate the collection of antenatal booking data from collection of data on delivery (and other ends-of-pregnancy). We decided to dramatically accelerate that, and developed an Antenatal Booking Collection (ABC) data return (as an early implementation of a module of EMaDS).
We have established weekly reporting for antenatal booking data, and received historic data back to April 2019, so we can report on all women pregnant in March 20 (and thereafter). Numbers of women booking for antenatal care, and average gestation at booking, are published in the pregnancy section of the wider impacts dashboard (https://scotland.shinyapps.io/phs-covid-wider-impact/). This is updated monthly.
The Antenatal Booking Collection data is also being used by the COVID-19 in Pregnancy in Scotland (COPS) study to identify a cohort of pregnant women. COPS aims to find out how COVID-19 infection during pregnancy affects mothers and babies.
Now we have established an enduring data flow, we are developing proposals to add additional data items to the antenatal booking return, and to make the transfer and holding of the data more automated.
We have also resumed working on other aspects of the EMaDS dataset. We considered how we segment EMADS in to modules. After input from our Programme Board we have decided to focus initially on booking and delivery episodes (including details of baby’s health). We have started development work on both of these. We are also doing some limited scoping work on data regarding early pregnancy and fetal scans.
We are working to establish routine collection of a new national (all-Scotland) minimum dataset on specialist neonatal care.
In November 2019 we received a one-off extract of data from BadgerNet Neonatal and we analysed this to see what we could learn, and what changes we might need to make to the draft dataset we developed in 2018/19.
We have now finalised a dataset for routine submission. We are discussing with Clevermed (and NHS Boards) how we can have this dataset routinely available, how data will be stored (in the Seer platform mentioned earlier) and planning how data should be presented.
We have developed CORE maternity measures for incorporation into maternity dashboards. This supports Commitment 67 in Best Start: “National level maternity and neonatal dashboards should be developed to facilitate benchmarking and reduce variations in care”. Such measures, using all-Scotland-comparable data, will support individual services and regional collaborations to learn from each other’s experience. To develop the initial list of CORE maternity measures we first explored WHAT measures are used in a variety of local and national dashboards. From this we made recommendations that were discussed in November 2019 with a short life working group. The working group contained representation from Heads of Midwifery, Clinical Directors of Obstetrics, the Scottish Perinatal Network and the Best Start Implementation Programme
The most up to date list of measures and where to find data on these is available here: https://readymag.com/PHIDigital/MatNeoDemonstrator/matcore/
Members of the programme team are continuing to work with a National Neonatal Network Data Group, to develop a companion neonatal dashboard CORE.
We have developed:
More details of both of these are given on the Web Resources page.
Having agreed the most appropriate data display platform(s) for maternity CORE measures with our Programme Board, we are developing additional displays to add to the existing public-access wider impacts dashboard (and its successor post-COVID) and to the access-controlled Discovery dashboard.
A MatNeo Data Hub Programme Board, with representatives from each delivery partner, meets quarterly to discuss programme activities and plans.
The MatNeo Data Hub is overseen by the Evidence & Data sub-group of the Best Start Programme Board.