Stigma Statistics

Stigma Statistics aim prevent suicide through the use of real time data and technology.

The key outcomes of using real time data are:

1. Better interoperability - Platform to share information between stakeholders.​​​​​​

2. Better collaboration - Platform to unify stakeholders, both locally and nationally.​​​​​​

3. Better support services - Informs bereavement support services enabling mobilisation within the critical 72 hour period following a suicide.​​​​​​

4. Better data - Monitors geoprahical high incidence areas and clusters.

5. Better prevention & intervention strategies - Provides visibility and responsive data for suicide incidence, which will help in the prevention and reduction of suicides.

The key functions include:

72 Hour Response System

• Notification system which reaches across all users

• Bereavement support process - Identification of high risk individuals to services (GDPR compliant)

Strategic Response

• Analysis alerts

• Deep analysis - Identification of high risk areas, clusters, linked cases, vulnerable individuals & distance to services.  Also utilises Google Trends and social media intelligence.

• Real-time reporting

Informed Reporting

• Real-time escalation plans

• Lessons learnt

• Regional & national regulatory reporting

Operational Efficiency

• Automation reduces time spent through manual processing demands

• Reduces time spent reporting & sharing information

• Provides a full audit trail

• No additional requirement of IT resources (web based platform is fully hosted, maintained & supported)

• Information Governance (IG) templates are available for internal stakeholder approval.

Real Time Surveillance is central to Stigma Statistics, the rationale for which is as follows: 

• Fast identification of suicides to support proactive prevention and postvention activity to help those affected and bereaved by suicide (Cerel et al., 2018)
• Provides analytical intelligence on high incidence areas which can be acted on quickly (Platt et al., 2006).

References:

Cerel, J., Brown, M., Maple, M., Singleton, M., van de Venne, J., Moore, M., Flaherty, C. (2018). How many people are exposed to suicide? Not six. Suicide Life Threatening Behavior, 9(2), 529-534. 

Platt. S., McLean, J., McCollam, A., Blamey, A., Mackenzie, M. McDaid, D., Maxwell, M., Halliday, E. & Woodhouse, A. (2006). Evaluation of the First Phase of Choose Life: The National Strategy and Action Plan to Prevent Suicide in Scotland. Scottish Executive.

N/A

Stigma Statistics has not yet carried out a formal review of effectiveness at the point of reporting. 

To update us on evaluation developments - contact us

• Cambridgeshire and Peterborough STP

You can help by expanding this list - contact us

You can help by expanding this list - contact us

A Data Protection Impact Assessment (DPIA) has been completed for this product which details the data security requirements within the General Data Protection Regulation (GDPR). 

About Stigma Statistics:

Having witnessed a suicide and then losing another friend to suicide shortly after, Matthew Steans was determined to do something about the pain and suffering caused to friends and family. In 2018 he founded Stigma Statistics.  Stigma Statistics has a web based Suicide Tracking Analysis & Reporting (‘STAR’) platform to enable mental health and support services to identify individuals with high suicide risk.  Stigma Statistics is committed to developing functionality to enable suicide prevention and the STAR platform is just the first step.

Research has found that as many as 135 people are impacted as a result of someone dying by suicide (Cerel et al., 2018).  Suicide also has a considerable economic cost of at least £1.67 million per suicide (Platt et al., 2006).

The STAR platform has been developed with information security and GDPR at the core.  Next of kin consent is fundamental to enabling the bereavement support process. GDPR requirements are well documented in the DPIA.  Details regarding this can be requested at any time.