Mental Health Services Monthly Statistics - Final Mar 2016
This series replaces the monthly MHLDS reports, with the scope broadened to include CAMHS services and restructured to support waiting time measurements.
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This release presents experimental statistics from the Mental Health Services Data Set (MHSDS), using final submissions for March 2016. This month does not include provisional April 2016 data due to a change in dataset specification from 1 April 2016. Final April 2016 data will be available in the next release in this series.
This is the fourth monthly release from the dataset, which replaces the Mental Health and Learning Disabilities Dataset (MHLDDS). As well as analysis of waiting times, first published in March 2016 using provisional submissions for January 2016, this release includes elements of the reports that were previously included in monthly reports produced from final MHLDDS submissions. It also includes some new measures.
Because of the scope of the changes to the dataset (resulting in the name change to MHSDS and the new name for these monthly reports) it will take time to re-introduce all the measures that were previously part of the MHLDS Monthly Reports. Additional measures will be added to this report in the coming months. Further details about these changes and the consultation that informed were announced in November. From January 2016 the release includes information on people in children and young people’s mental health services, including CAMHS, for the first time. Learning disabilities services have been included since September 2014.
The expansion in the scope of the dataset means that many of the basic measures in this release now cover a wider set of services. We have introduced service level breakdowns for some measures to provide new information to users, but also, importantly, to provide comparability with key measures that were part of the previous monthly release.
We will release the reports as experimental statistics until the characteristics of data flowed using the new data standard are understood.