Addressing the needs of vulnerable tenants is an important area of work for many housing associations. The most effective way of doing this is to ensure early identification of vulnerability, so that interventions can take place and individuals can be referred to relevant support. This helps to reduce the escalation of difficulties, and therefore cost to the housing association. Ultimately it helps people remain independent and successfully in their homes for longer.
Knowing who to help is not always straightforward, as vulnerable tenants are often harder to reach, may develop increased vulnerabilities over time and difficult to identify. However, through their day-to-day interactions, housing associations collect a wealth of data on their tenants that offers much potential for helping identify and highlight vulnerable individuals, but is often not utlised to its full potential. With the right analysis, it is likely that within existing housing association data sets are the warning signs of an individual’s increasing vulnerability. This project will seek to identify these warning signs. Using existing housing association data, HACT will build a model to enable housing associations to identify vulnerable individuals earlier, before their difficulties escalate.
The advantage of this will be twofold. Firstly, it will allow intervention to be more effective, as tackling issues early on, before they become entrenched, is easier. Secondly, it will make intervention more efficient, as the cost of earlier intervention and prevention is significantly lower than intervening once an issue has become more severe.
Aim: To use the existing data held by housing associations to build a model for earlier identification of vulnerable tenants
Timescale: Six months
Cost: dependent on scope