Mental health conditions, such as depression and anxiety disorders are increasing in prevalence globally, with far-reaching impacts across individuals, their relationships, and wider society. Economic costs, through both lost workplace productivity and increased healthcare resource use, further call for improved access to support. Whilst evidence-based treatments exist, many individuals are unable to access care, and for those who are able to receive treatment, a significant proportion of people do not respond to interventions provided.
This talk will discuss the ways in which routinely collected clinical data has, and can be, used to support the delivery of psychological treatments, generate clinical insights and support service improvement initiatives. Much of the talk will focus on individual patient records collected through the NHS Talking Therapies for anxiety and depression programme (NHS TTad), which was formally known as IAPT. NHS TTad services deliver evidence-based psychological treatments for depression and anxiety disorders across England, with nearly 700,000 treatment episodes provided each year. Use of sessional outcome measurement has resulted in a large national dataset in which to examine inequalities in access and outcomes from services. Data-informed insights include the identification of patient characteristics that appear to be the most risk of poorer access and outcome, sub-groups of patients who benefit from additional support, and how clinical decision making around the measurement of symptoms and delivery of care can impact patient outcomes. The talk will conclude with a discussion of current developments in mental healthcare data linkage and access, which should provide wider opportunities for stakeholders to engage with routine data, as well as to upskill wider communities in using data analytics to improve the delivery of psychological treatment.