We are a data-driven organisation. We have access to vast quantities of data from our case management system (CRiiS) that we use to demonstrate the effectiveness of our approach, identify ways to improve and ultimately improve our service users’ lives.
- Solving IT challenges at our new Middlesbrough service
- Using data to prevent future deaths
- Service Impact Studies: analysing outcome data across all CGL substance misuse services
- Transforming data reporting for CGL young people’s services
Information for all
We strive to produce meaningful, engaging information to help people make decisions across the organisation. This may include a Keyworker Dashboard or Service User Summary Care Record used by those on the front line, to high-level aggregate Information Dashboards for senior management and the Board of Trustees.
Reporting on performance
Our systems are configured to ensure local contractual reporting requirements can be met without compromising our ability to produce meaningful data across the organisation.
We also produce 12 national reports every month. These include a Structured Treatment Report and Interventions Report for our structured services and T2 (drug & alcohol), Criminal Justice, Needle Exchange and Specialist Services (such as Domestic Violence, ETE, Housing, Families, Mental Health, Rehab and Street Outreach) reports for all relevant services. We pride ourselves in producing all these reports shortly after the end of the relevant month and at least 6 weeks before any related reporting is due from PHE, providing us with an additional early warning system for any concerns.
We regularly undertake research into ways we can reduce mortality rates for our service users.
For example we are working on a number of prevention techniques to reduce the number of drug related deaths, including identifying and predicting those people who are most at risk of overdose.
By automatically identifying the clinical factors that are significantly associated with overdose, held as digital data points on case records, we can more efficiently deploy resources and increase treatment effectiveness for those most at risk of overdose.
We encourage and promote curiosity and are always asking new questions from our data to see how we can better help our service users. Some recent questions we have investigated include:
- Does CGL reduce re-presentations by contacting clients to complete a Post Exit TOP (Treatment Outcome Profile)?
- How many appointments were missed in CGL in the last 9 months and how did this compare with the previous 12 months?
- What percentage of current CGL service users are not employed?
- What are the complex needs of CGL clients who are not parents?
- What is the breakdown of most problematic drug for CGL clients in the PHE alcohol/non opiate drug group?
- What are the successful completions rates for clients with a mental health condition compared to other clients?
- How many parents and children are supported by CGL?
We never use sample groups or exclude anyone from our analysis projects.
Inspiring research projects
Sometimes our questions lead on to further research. For example, reviewing the first two questions listed in the previous section:
- Initial information analysis on Post Exit TOPS led to a research paper “Check in, check up”: an evaluation of the impact of post-treatment follow-ups on substance users’ recovery which was written by our Research Manager and was published in June 2016. This indicated improved recovery for CGL clients who were contacted for post treatment follow ups and as a result procedures were introduced to increase this activity across all CGL structured services.
- The Missed Appointments analysis has led to a comprehensive project and working group to explore this further. Missed appointments are an indicator of increased risk of death, associated with poorer service user outcomes and have an impact on productivity and resources. A pilot programme will be commencing shortly with a view to evaluating the impact of new strategies to reduce the number of missed appointments across CGL.